Professional Overview
AI/ML Engineer with a Bachelor's degree in Software Engineering (AI Stream) and 5+ years of experience. Specializing in deep learning, NLP, and generative AI, with hands-on experience training GPT-style language models from scratch using PyTorch and building practical AI-powered applications.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed and maintained Python 3.10+ packages for the PartCAD project.
- Implemented asynchronous operations using `asyncio` to manage complex parts
- Applied object‐oriented programming principles to model parts, assemblies, depen
- AI-Integration with commercial models like OpenAI & Gemini
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed and integrated LLM‐powered applications using Python and API‐based
- Implemented RAG pipelines for document ingestion, text chunking
- Built conversational AI workflows that incorporate retrieved context into prompt
- Designed backend services to connect language models with app data & bus. logic
- Implemented prompt engineering and context management strategies
AI Expertise
Skills
Employment Type
Education
Field of Study: Software Engineering(AI Stream)
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
