Senior Full Stack Developer & Generative AI Specialist
Seasoned full stack developer with 7+ years of experience, specializing in developing and evaluating generative AI models and complex web/mobile applications. Expert in integrating AI technologies, evaluating AI systems, and passionate about improving large-scale language models. Proven ability to lead teams, deliver innovative projects, and optimize performance of both applications and AI models.
- Led the development and integration of generative AI models, including a GPT-3-based personalized recommendation system, increasing cross-sales by 35%.
- Developed and evaluated an NLP model for sentiment analysis, improving issue detection accuracy by 40%.
- Designed and implemented an evaluation and ranking system for AI-generated code, improving the quality of produced code by 25%.
- Implemented automated ML pipelines with MLflow, reducing model deployment time by 70%.
- Led a team of 5 developers in refactoring the AI platform, resulting in a 40% increase in model performance.
- Established a microservices architecture with Kubernetes for large-scale AI model deployment.
- Trained the team on best practices in ethical AI, model interpretability, and bias evaluation.
- Developed web applications focusing on integrating third-party AI services (image recognition, NLP, generative models).
- Designed and implemented a dashboard to visualize and evaluate performance metrics of ML models in production.
- Optimized the performance of a critical application using AI models, reducing processing time by 60%.
- Contributed to the front-end development of a SaaS project management application, integrating AI features for task automation.
Technical Skills :
- Languages : Python, JavaScript (ES6), TypeScript, R, Java, C#, C, Swift
- AI & ML : TensorFlow, PyTorch, scikit-learn, NLP, Computer Vision, Generative Models (GPT, DALL-E)
- Front-end : React, Vuejs, Angular, HTML5, CSS3, SASS
- Back-end : Nodejs, Django, Flask, ASPNET Core
- Databases : MongoDB, PostgreSQL, MySQL, Redis
- Cloud & DevOps : AWS, Azure, Docker, Kubernetes, CI/CD
- AI Tools : Jupyter Notebooks, Pandas, NumPy, Matplotlib, Hugging Face Transformers
- Evaluation & Metrics : A/B Testing, ML Performance Metrics, Cross-validation, AI-generated Code Evaluation
- Others : Git, JIRA, Confluence, Jenkins, Webpack
- Leadership and team management in complex AI projects
- Effective communication of complex technical concepts in AI and ML
- Strong learning ability and adaptability to new AI technologies
- Attention to detail and rigor in evaluating and improving AI models
- Passion for ethical AI and technological innovation
- Active contributor to Hugging Face Transformers, specializing in improving generative models
- Creator of "AICodeEvaluator", an open-source tool for evaluating and ranking AI-generated code (10,000+ users)
- Published research paper on "Optimizing Large Language Models for Code Generation" (arXiv, 2000+ citations)
- Developed an AI chatbot using GPT-3 for customer support and code generation, achieving a 95% user satisfaction rate
- Improving large-scale language models for code generation
- AI ethics and bias reduction in generative models
- Interpretability and explainability of complex AI models
- Performance optimization of large-scale AI models
- Development of innovative methods for evaluating and ranking AI-generated code
Open Source Contribution
AI & Machine Learning
Coding Challenges
Reading
Gaming