COMMUNITYAskapro

Real-time Sentiment Analysis System

  • 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.
Mikhail worked on this case as the AI/ML Software Engineer at Freelance.
AI/ML Software Engineer
Machine learning
CI/CD
Forecasting Models
Cloud Pipelines
Sentiment Analysis
Energy
Global
Georgia
Startup
Sentiment & Forecasting System
Cloud Platform
Web App
Google Gemini API
AWS
Git
Internal product
B2B
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Mikhail

AI Developer at Hire Virtuals

Mikhail's cases
Automation
Procedural Geometry
Computer Vision
CGI
Russia
CGI Automation Tools
Python
Automated CGI Scene Creation
  • 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.
Network Setup
Automation
A/V Installation
Control Systems
Data Engineering
Low-Latency Networking
Media Art
Automated Audio/Video System Operations
  • 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.
Natural Language Processing
Large Language Models (LLM)
Automation
AI Infrastructure Optimization
Marketing
Marketing Technology
The USA
LLM-Powered Lead Generation Assistant
  • 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.
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Similar cases

Machine learning
CI/CD
Forecasting Models
Cloud Pipelines
Sentiment Analysis
Energy
Global
Real-time Sentiment Analysis System
  • 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.
Machine learning
Recommendation Systems
Predictive Modelling
SaaS
Global
Rendering Job Management Suite
PostgreSQL
Improved Forecasting with Predictive Models

  • 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.

CI/CD
MVP Development
Cloud Deployment
EdTech
Global
MVP
Adaptive Testing Platform
Full-Stack MVP for Adaptive Testing Platform
  • 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%.
Full-Stack Development
Service Centres
SaaS
Global
Enterprise
Service Centre Management System
Web App
Built a Global Service Centre Platform

  • 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.

Language Translation Systems
Compiler Development
AST Parsing
Telecom
Global
Research and Development
C to Eolang Compiler
C to Eolang Compiler Development
  • 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.
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