๐ M.Sc. Data Science @ IIIT Lucknow
๐ค AI / ML Engineer specializing in Agentic AI, LLM Systems, and RAG Pipelines
I build production-ready AI systems using LangChain, LangGraph, FastAPI, and LoRA-based LLM fine-tuning, with a focus on multi-agent orchestration, grounded reasoning, and scalable AI backends.
- Agentic AI: LangChain, LangGraph, Tool Calling, Multi-Agent Orchestration
- RAG Systems: Hybrid Retrieval, Vector Databases, Grounded QA
- LLMs: Fine-Tuning (LoRA, PEFT), Prompt Engineering
- ML/DL: XGBoost, CNNs, Transfer Learning
- Backend & MLOps: FastAPI, Streamlit, Docker, AWS (S3, EC2)
- Multi-agent system with LangGraph state machine
- 92% retrieval accuracy, 40% hallucination reduction
- Real-time streaming with persistent memory
Private / Demo-based project
- Real-time industrial safety AI system
- mAP@50: 92.4% | Precision: 91.2%
๐ https://github.com/agrawalpraveen12/PPE-Detection-System-Using-YOLOv8
- ResNet-18 based real vs fake image classification
- 94.2% accuracy | AUC: 0.96
๐ https://github.com/agrawalpraveen12/Deepfake-Detection-of-images
- Domain-specific QA system
- F1: 68.6% | EM: 59.9%
Repository available on request
- IIT JAM 2024 โ AIR 1080 (Top 7%)
- IndiaAI (IIT Roorkee): Responsible & Trustworthy AI
- IIT Guwahati: Revenue Optimization Project
- ISRO Bharatiya Antariksh Hackathon 2025
โญ Open to Generative AI & Agentic AI roles