Browse candidates

• Reduced load on sales and support teams by redesigning the website.
• Created a scalable visual identity for the website, YouTube covers, and marketing materials.
• Developed a corporate website with 4 pages and a design system meeting marketing and sales requirements.
• Produced a set of recognizable 3D illustrations and documentation for brand visual guidelines.
• Increased verified contacts for the sales department, reducing time spent on general discussions.

• Launched MVP of a trading web terminal in both light and dark versions.
• Addressed UX/UI issues to streamline client interactions.
• Developed a visual hierarchy and tested design solutions with support and sales teams.
• Created a component design library for consistent user experience.

• Developed a family banking app from scratch.
• Designed a unique and scalable illustration style and user interface.
• Delivered an MVP app with a scalable visual approach for marketing and design needs.
• Provided a UI kit for consistent application design.

• Developed a comprehensive Transport Management System using React, TypeScript, and FastAPI.
• Implemented responsive dashboard visualizations improving decision-making efficiency by 35%.
• Enhanced system with AI/ML features reducing downtime by 20% and fuel consumption by 15%.
• Established secure API integration ensuring data integrity and seamless information flow.
• Created a mobile-responsive interface increasing operational responsiveness by 40%.

• Led development and integration of order management systems within SAP Hybris for a B2B website.
• Enhanced processing efficiency by 20% and reduced setup time by 15% with automation.
• Improved project delivery speed by 10%, achieving a 98% customer satisfaction rate.
• Managed change management framework reducing system downtime by 25%.
• Developed a compensation analysis tool improving data accuracy by 30%.

• Used StarGAN architecture to classify images across multiple domains.
• Achieved an F1 Score of 0.83, Precision of 0.9917, and Recall of 0.8051 on the CelebA dataset.
• Trained model over 500,000 iterations using PyTorch and Adam optimizer.
• Applied adversarial loss, classification loss, and gradient penalty for balanced training.
• Optimized performance with specific hyperparameters ensuring stable performance.

• Developed a real-time Sign Language Action Detection System achieving 90% accuracy.
• Integrated face, hand, and body landmark detection for precise sign recognition.
• Trained LSTM neural network reaching 85% accuracy, improving performance by 25%.
• Enhanced accessibility for individuals with hearing and speech impairments.
• Enabled applications in education and assistive communication tools.

• Developed pixel-perfect interactive adaptive websites with animations.
• Optimized website animations rendering, improving page load from 6 to 2 seconds.
• Developed frontend for the token sale dApp with pixel-perfect approach.
• Implemented EVM and Solana blockchains integration to the dApp.

• Developed the CMS for the educational platform, including content builder functionality.
• Optimized data retrieval processes, reducing page load time by approximately 30%.
• Worked on lazy loading and overall page speed improvements, resulting in up to a 27% faster load time.
• Implemented image management features, increasing learner engagement by 15%.

• Developed an interface to visualize statistics and diagrams, enhancing data interpretation.
• Built an automation tool to parse data, increasing processing efficiency by 40%.
• Implemented a web-based interface for lab technicians to upload data, streamlining data entry.

• Developed a Cypress framework from scratch using Page Object Model, enhancing test structure.
• Reduced redundant code by 30% through reusable components, improving maintainability.
• Implemented a CI/CD pipeline for Cypress tests, reducing deployment failures by 20%.
• Integrated new test management systems (Qase, AIO Tests) for streamlined test processes.
• Conducted performance testing using JMeter to identify and resolve bottlenecks.

• Inherited and modernized a flaky test suite, improving reliability in CI environments.
• Implemented retry logic and better selector strategies to enhance test stability.
• Developed custom commands to streamline testing processes and reduce maintenance overhead.

• Tested mobile and web fintech applications for multinational clients, ensuring high-quality releases.
• Specialized in healthcare applications, leveraging medical knowledge for effective testing.
• Used Charles Proxy to uncover performance issues and unauthorized API calls.
• Maintained Silver tester rating across multiple global projects, demonstrating consistent quality.

• Developed and maintained API using GraphQL and ElasticSearch, enhancing business solutions.
• Implemented SQL query builder, doubling data retrieval speeds.

• Facilitated coding guidelines, improving code maintainability.
• Released a successful product in the first month.
• Designed and created several internal services from scratch.

• Automated continuous delivery processes, improving development speed.
• Designed and implemented games using GFX game engine and Node.js.
• Migrated games from ActionScript Flash to WebGL JavaScript.

• Increased ARPU and retention for games.
• Developed scripts for game-specific data analysis using Python and JavaScript.

• Developed ML Miners on the Bittensor network for Tao and dTao cryptocurrency.
• Managed a team of ML developers on Subnet 44 “Scorevision”.
• Achieved first place consistently by training and optimizing computer vision models.
• Implemented real-time tracking of football players and pitch key points from video footage.
• Trained Yolo models for miners and Clip for validators.

• Applied machine learning and computer vision on 3D LIDAR and Drone Imagery.
• Automated detection of road defects for the National Highways.
• Developed systems to identify key landmark features within drone imagery.
• Integrated satellite data from the European Space Agency (ESA).
• Implemented automatic blurring/redacting of number plates.

• Developed NLP pipeline for generating videos from URLs.
• Implemented a conversation quality metric using Python and FastAPI.
• Deployed solutions via Docker on private Amazon servers.
• Developed an internal user interface dashboard in JavaScript.
• Fine-tuned GPT-neo for conditional text generation.

• Hosted NLP workshops for clients, including interactive labs and demos.
• Architected an NLP pipeline to extract audio and text signals for ML algorithms.
• Provided technical analysis and consultancy for NLP projects.
• Delivered presentations on NLP advancements and applications.

• Developed AI assistance leveraging user data for diverse scenarios including question answering and business intelligence.
• Managed stakeholder relationships with service owners and external clients to align needs and expectations.
• Collected and documented high-precision business requirements focusing on API and AI model parameters.
• Conducted data analysis to identify trends and insights for AI-driven business decisions.
• Aligned design solutions with project goals through collaboration with UX designers.

• Developed a product roadmap and managed the product backlog using Agile methodologies.
• Conducted customer development interviews to validate product-market fit and improve platform.
• Implemented user feedback loops and A/B testing to optimize user experience.
• Developed product KPIs and SLAs to measure performance and ensure service quality.
• Achieved 10-fold increase in audience engagement.
• Grew portfolio volume under management by over 12 times. • Product earns a spot among the elite group of Binance brokers, ranking in the prestigious TOP 15.

• Led the implementation of RPA within an Enterprise Level IT Service Management platform.
• Developed strategic roadmaps and defined OKRs, KPIs, and SLAs to measure project success.
• Managed complex global stakeholder landscape and facilitated requirement prioritization.
• Documented business processes and identified AI and Generative AI automation opportunities.
• Ensured compliance with internal corporate regulations and relevant standards.

• Developed AI/ML solutions to help businesses optimize processes and improve efficiency.
• Implemented fraud detection systems to predict anomalies in transactions.
• Developed demand forecasting models to optimize inventory and supply chains.
• Created customer churn prediction models to analyze data and retain users.
• Built recommendation systems to personalize content and products.
• Conducted sentiment analysis using NLP to detect sentiments.

• Developed and optimized backend functionality using PHP and MySQL.
• Enhanced frontend interface design and user experience with HTML, CSS, and JavaScript.
• Improved page rankings in search engines through SEO optimization.
• Analyzed user behavior to boost conversion rates.
• Automated processes by integrating dealer APIs and data parsing.

• Managed SEO and SEM for website promotion in search engines like Google and Bing.
• Developed content marketing strategies and optimized content for different markets.
• Set up and optimized PPC advertising campaigns on Google Ads and Facebook Ads.
• Analyzed traffic and user behavior using Google Analytics and Yandex Metrica.
• Conducted A/B testing to improve conversion rates through experiments.

• Engineered a SOTA multi-document summarization model for news aggregation, achieving an 87% human acceptance rate with less than 1% critical errors.
• Designed automated news timelines for evolving events, resulting in a 2.8% increase in content depth and a 1.4% boost in user time spent.
• Optimized ranking algorithms with a CTR prediction model, increasing daily active users by 4.3% and user engagement by 2.1%.
• Created a novel similarity scoring formula, improving F1-score from 0.91 to 0.95 for news clustering.

• Developed and deployed text corpus deduplication using a suffix array algorithm on MapReduce, boosting assessor F1-score from 0.77 to 0.82.
• Trained a classifier to improve benchmark coverage, enhancing dataset relevance for pretraining tasks.
• Created a dataset augmentation pipeline with Back Translation, increasing pretraining robustness and generalization.
• Enhanced document parsing quality, resulting in 3% faster model convergence and improved resource efficiency.

• Developed a search robot for products, increasing cold client conversions by 4%.
• Created a report monitoring system for item positions for clients.
• Developed an advanced route-planning algorithm for courier logistics, increasing daily pickup points by 13%.
• Added generation of invoices for product stock, improving product acceptance process speed and accuracy by 15%.

• Implemented processing of all basic data types from Clang AST to equivalent constructions in Eolang.
• Developed a mechanism for translating multidimensional arrays to Eolang.
• Developed a mechanism for translating Enum types to Eolang.

• Built an LLM lead generation assistant for marketing professionals.
• Performed workflow audits and optimized costs by designing a more efficient architecture.
• Automated end-to-end AI pipelines.
• Adapted and prompted LLMs for efficient data processing and content generation.
• Researched methodologies for optimizing AI infrastructure.
• Collaborated closely with Business Development professionals to achieve team goals.

• Developed a system for real-time sentiment analysis automating news data processing.
• Integrated the system with Google Gemini API achieving 100% of project milestones.
• Created an AWS cloud pipeline to predict energy consumption from historical data.
• Delivered fully automated AI pipelines managing to stay within a budget of $500/month.
• Optimized resource allocation to enhance cost-effectiveness.

• Reduced CGI scene creation time by 75% through custom automation add-ons.
• Built reusable procedural geometry and computer vision tools.
• Completed projects an average of 20% ahead of schedule.
• Demonstrated strong collaboration skills with a cross-functional team.
• Worked effectively with up to 5 professionals.

• Automated 90% of Audio/Video system operations, reducing need for on-site support.
• Set up low-latency networks and developed control systems.
• Ensured 100% uptime for media art installations.
• Worked independently and closely with a remote team.
• Fostered a friendly and inclusive environment.

• Replaced legacy VM infrastructure with Kubernetes clusters, reducing infra costs by 30% and improving uptime.
• Designed and rolled out a standardised IAM system using self-hosted Keycloak to decouple from third-party providers.
• Managed distributed bare-metal NoSQL databases for fast-changing data, cutting storage costs by 50%.
• Supported a rapidly growing codebase with 30+ sub-projects through modular cloud-native architecture.

• Implemented a new analytics pipeline using GTM, Meta, and PowerBI — increasing sales by 20%.
• Set up robust CI/CD pipelines for 30+ sub-projects using CircleCI and integrated Jira workflows.
• Helped the team reduce release errors and speed up delivery cycles through process automation.

• Built a functional MVP in 2 months using React, NestJS, and PostgreSQL.
• Defined and deployed system architecture on AWS, including full CI/CD setup.
• Wrote deployment documentation to support handover and onboarding.
• Streamlined development, improving team productivity by 15%.

• Improved UX and performance of an industrial PLM system using Next.js and NiFi.
• Refactored legacy Vue.js project to enhance business process security.
• Built a custom SQL database to support logistics for industrial materials.

I used webscrapped data to create similarity search model

I used vision transformers, data augmention,face detector and deployed the model on AWS SagaMaker

• Collected and preprocessed data to build a time prediction model that improved the accuracy of rendering job estimates.

• Designed and implemented a visual predictive model using synthetic data for internal research.

• Built a sentiment analysis tool to assess user feedback and created a recommendation system based on user behaviour patterns.

• Trained a computer vision model to detect vehicle scratches and damage from images.

• Built a containerised service using Docker for model deployment.

• Enhanced image preprocessing pipeline to boost model accuracy and generalisation.

• Built and maintained backend modules for a rendering SaaS using Python.

• Developed a chatbot to automate communication between technical support and clients.

• Managed and optimised MariaDB and PostgreSQL databases for internal tools.

• Trained and deployed face detection and feature extraction models to production.

• Created APIs and inference pipelines using Triton Inference Server and TensorRT.

• Designed a video stream processing system handling input from multiple cameras.

• Increased vector search performance 20x by optimising FAISS-based similarity search.

• Built dockerised infrastructure for scalable deployment.

• Led development of face and license plate analytics across 4 engineering teams.

• Built ML models for driver identification using sensor data (RF, MLP, DT, KNN).

• Researched video-based action recognition (publication under review).

• Created a facial recognition API using FastAPI and OpenVINO Model Server.

• Supported academic research with practical deployments and experiments

• Led more than 5 research and development projects focused on building human-machine interfaces to control robotic systems via Android apps, WinForms applications, and console tools.

• Conducted research in robotic control and trajectory planning, contributing to academic advancements and real-world implementations.

• Worked on sensor fusion tasks involving PIR, sonar, camera, touch, and gyroscope inputs — integrating and processing data from multiple sources.

• Completed two projects using microcontrollers and single-board computers such as Arduino, PIC32, Raspberry Pi, and Jetson TK1.

• Delivered two working computer vision applications involving object recognition, emotion detection, and a “leader-following” system (robot tracking a moving subject).

• Built a cross-platform mobile app that offers smart outfit recommendations and wardrobe management features.

• Implemented outfit creation tools with a clean, mobile-first UX using React Native and Expo.

• Connected frontend to backend using Supabase and Prisma for rapid, scalable development.

• Designed intuitive logic to support user preferences and seasonality in outfit suggestions.

• Developed and maintained a web application used by over 80 service centres worldwide.

• Contributed to both frontend and backend using React, Next.js, Nest.js, and PostgreSQL.

• Ensured cross-device compatibility and high responsiveness across all major browsers.

• Integrated scalable API services with authentication and database layers.

• Scaled the product from concept to 1M+ registrations, 60K DAU, and 20K MAU in 12 months.

• Managed a cross-functional team of 30+ (Dev, DevOps, GameDesign), introduced Agile workflows and CI/CD improvements.

• Increased average session time by 500% (10 mins → 1 hour) through game balance redesign and reward system revamp (ABC tests).

• Reduced churn rate by 15% using CJM-based onboarding, tracked with Hotjar and Amplitude.

• Localised the product into 8 languages, forming partnerships with local KOLs based on GEO analytics.

• Increased TVL from $5M to $28M (+460%) in 9 months by launching auto-compounding tools and APY incentives.

• Established partnerships with 5 major DeFi protocols to drive liquidity inflow.

• Boosted staking conversion by 45% by simplifying UX (7 steps → 3) and integrating 1-click staking.

• Used Dune Analytics and on-chain user behaviour data to inform roadmap decisions.

• Designed and developed a cross-chain bridge with support for 5 networks, optimising gas usage and reducing transaction costs by 30%.

• Integrated Aave and Uniswap V3, which resulted in 12,000 new users in one quarter.

• Reduced transaction processing time by 40% (12s → 7s) through smart contract refactoring and admin panel cache optimisation.

• Tracked results via Snowtrace and internal block metadata.

• Led the architecture and development of a Data Lakehouse platform for enterprise-scale data storage and analysis.
• Designed and launched a secure component analysis (SCA) system to scan, validate, and deliver safe software artifacts.
• Developed a custom ETL pipeline integrated with Greenplum and Airflow, enabling flexible, reliable data processing.
• Mentored three intern cohorts (Python + Go, DevOps, React) and initiated an internal R&D direction for the company.
• Participated in pre-sales and architectural evaluation of new projects, aligning tech decisions with business needs.

• Built a new development department from scratch, defined internal standards, and established the tech strategy.
• Oversaw in-house development that replaced vendor software with no loss of service quality.
• Successfully migrated two mission-critical systems from Oracle to PostgreSQL, significantly reducing licensing costs.
• Re-architected the company’s DWH, moving 70% of reporting to the new platform for improved flexibility and speed.

• Led architecture and development of several new products: payment aggregator, ticketing platform, parking system, and education accounting tools.
• Developed PL/SQL-based databases and documentation to support operations and compliance.
• Delivered two platforms reaching over 1M MAU.
• Boosted EBIT of the payment platform by 70% after implementing new services.

• Developed UI for a CRM system with integrated Stripe-based payment modules.
• Built a responsive, cross-platform interface.
• Integrated ContentStack CMS and ApolloGraphQL APIs for dynamic content and data fetching.
• Contributed to user account functionality and payment cabinet development in a 21-person team.

• Developed a thematic social platform with game-like functionality.
• Migrated codebase from Angular 8 to Angular 9.
• Integrated calendar API, improved performance (Lighthouse), and implemented SEO meta tags.
• Built responsive templates, multilingual support, and login via Google/Facebook.
• Deployed via Firebase Functions and structured local/session storage.