Professional Overview
AI engineer building things that work outside the lab multi-agent pipelines, LLM fine-tuning, RAG, and real-time voice AI. Currently researching Hinglish speech recognition, a 600M+ speaker gap with no good open-source solution. I ship fast and care about production, not demos.
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.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
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.
