Professional Overview
With 2 years of experience, I work with companies to integrate AI directly into their data and operations—enabling LLMs and Agents to interact with internal documents, services, and business processes, leveraging cutting-edge technologies such as RAG, LLMs and AI Agents and I also help non-technical founders turn their ideas into production with AI automation Programming & Frameworks: 💻 LangChain Python | PyTorch | Hugging Face | Llama Index | LangGraph | FastAPI
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
