Professional Overview
AI Engineer specializing in LLM fine-tuning, RAG systems, and NER for KYC/document processing. Expert in Python, PyTorch, Transformers, LangChain, FAISS, PEFT/LoRA, and vector databases. Skilled in chatbot development, OCR integration, time series analysis with LSTM, and building production-ready AI solutions with end-to-end project management.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Fine-tuned LLMs (LLaMA, Gemma) for multilingual document extraction
- Developed RAG-based chatbots using LangChain, FAISS vector databases
- Implemented NER systems to extract critical information from complex documents
- Managed AI projects from requirements gathering to deployment with direct client
Key Achievements / KPIs
- Achieved 90%+ field-wise accuracy on multilingual KYC document extraction
- Optimized model for low-GPU inference using PEFT and quantization techniques
Education
Field of Study: Python, Machine Learning, Natural Language Processing, Deep Learning
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
