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Sakshi-Aggarwal-19/README.md

πŸ’« About Me:

πŸ”­ I’m currently working on
- Generative AI systems using RAG, LangChain & Vector Databases
- Building API-driven LLM applications with FastAPI & Python
- Optimizing real-time AI pipelines for production

πŸ‘― I’m looking to collaborate on
- GenAI + RAG based applications
- Scalable AI/ML backend systems
- Open-source Computer Vision & LLM projects

🀝 I’m looking for help with
- Advanced LLM orchestration (LangGraph, AutoGen, MCP, A2A)
- Production-grade MLOps for GenAI systems
- Cloud deployment of AI workloads

🌱 I’m currently learning
- RAG Architecture (Vector DB + SQL/NoSQL Integration)
- LangChain, LangGraph, AutoGen, n8n
- Model fine-tuning & LLM optimization
- GenAI in Cloud & AI Ops

πŸ’¬ Ask me about
- Real-time Video Analytics (YOLO, OpenVINO, TensorRT)
- Face Re-Identification & Multi-Camera Tracking
- Python, Flask, FastAPI, MongoDB, SQL
- GPU Optimization & Edge AI Systems

⚑ Fun fact
- I optimize model latency before I optimize anything else β˜•

πŸ’Ό Previously Software Developer at Navajna Technologies
πŸš€ Open to roles: Software Engineer | Backend Engineer | AI/ML Engineer | GenAI Engineer | Data Scientist
⚑ Immediate Joiner

🌐 Socials:

LinkedIn Email

πŸ’» Tech Stack:

Python Flask MySQL Keras FFmpeg OpenCV mlflow Windows Terminal Render nVIDIA FastAPI Flask MicrosoftSQLServer Matplotlib mlflow Scipy TensorFlow NumPy Pandas Plotly PyTorch scikit-learn Grafana Docker Postman nVIDIA

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  1. End-to-End-Wine-Quality-Prediction End-to-End-Wine-Quality-Prediction Public

    Production-ready ML pipeline for Wine Quality Prediction with model training, experiment tracking, Docker containerization, and automated CI/CD deployment on AWS using GitHub Actions.

    Jupyter Notebook

  2. sign-language-detection-yolov5 sign-language-detection-yolov5 Public

    Sign language detection system using YOLOv5 with a Flask web interface for gesture prediction.

    Jupyter Notebook