AWS Certified Generative AI Developer - Professional (Early Adopter) ☁️ | AI Engineer 🤖 | Data Scientist 📊
I am an AWS Certified AI Engineer & Data Scientist with a distinction in MSc Data Science from the University of Bristol. I specialize in building agentic RAG systems, scalable data pipelines, and cloud-native ML solutions.
- Generative AI & LLMs: Early Adopter of AWS GenAI standards. Experienced in fine-tuning LLMs (Mistral 7B, Llama 3) and building RAG pipelines that handle 500+ weekly queries with 80% faster lookup times.
- Data Engineering: Proven track record at Onit India, where I reduced monthly reporting cycles from 5 days to 3 using Spark SQL and scalable ETL pipelines.
- Infrastructure: Proficient in deploying Dockerized microservices and managing cloud infrastructure on AWS, Azure, and GCP.
- Research: Achieved a Distinction (70) for my dissertation on Synthetic Data for Computer Vision, improving model robustness in diverse conditions.
- Tech: Llama 3, LangChain, Docker, FastAPI
- Architected an AI agent using LangChain that autonomously analyzes contracts and verifies clauses.
- Fine-tuned Llama 3 on the CUAD legal dataset using LoRA to reduce model hallucinations.
- Tech: YOLOv8, Python, Synthetic Data
- Fine-tuned YOLOv8 for fire/smoke detection on synthetic and real video.
- Developed a real-time detection pipeline comparing YOLO versions for the best speed/accuracy balance.
