Professional Overview
NLP researcher and ML engineer with peer-reviewed publications at EMNLP, EACL, and ACL. Worked on diffusion-based generative models, contrastive self-supervised learning, structured prediction, and adaptive LLM routing. Strong background in low-resource and Indic language NLP, multilingual machine translation, and multi-agent systems.
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.
