Senior Data Engineer & AI Automation Specialist
🎓 Azure Certified (DP-203) | 🌍 Remote & Async Ready | 💻 Python + GenAI + Azure
With 7+ years of experience, I specialize in building end-to-end intelligent systems that combine cloud data engineering, Python backend development, and state-of-the-art Generative AI. I’m passionate about solving real-world problems using AI workflows, LLMs, and automation.
- Flask & FastAPI microservices powered by LLMs (Groq, Mistral, Gemini)
- RAG pipelines using ChromaDB + Sentence Transformers
- Secure API integrations, audio/image processing (Whisper, OpenCV, ViT-GPT2)
- Azure Data Factory | SQL Database | Data Lake | ETL Pipelines
- Designed and optimized scalable cloud data workflows (50% faster)
- GitHub Actions to automate testing, deployment, content creation
- Containerization, secrets handling, and API-first architecture
Python Flask FastAPI LLMs Generative AI
Azure Data Factory Azure SQL Data Lake
ChromaDB RAG Groq Gemini Whisper OpenCV MoviePy
GitHub Actions CI/CD REST APIs Pandas SQL
Flask app that auto-extracts resume data (PDF/DOCX), performs QA using Mistral LLM, and dynamically fills HR templates using ChromaDB-based RAG.
Stack: Flask, Ollama, Sentence Transformers, ChromaDB, python-docx
AI pipeline that generates crime-report style summaries from surveillance videos using Whisper (STT), ViT-GPT2 (captioning), and Groq (LLM).
Stack: OpenCV, FFmpeg, HuggingFace, Groq API, JSON output
End-to-end content engine for dev YouTube videos — from topic discovery to SEO, scripting, video generation (MoviePy), and auto-publishing via GitHub Actions.
Stack: Google Gemini, MoviePy, gTTS, GitHub CI/CD
A Python script using OpenCV for efficient batch extraction and organization of frames from multiple video files. Configurable via .env for input/output paths and frame rate.
Stack: Python, OpenCV, python-dotenv, MoviePy
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- 📫 LinkedIn → chaitanyaeswarrajesh
- 💻 GitHub → ChaituRajSagar
- 📂 Resume & Repositories available upon request