Professional Overview
I build LLM-based systems — fine-tuned models, RAG pipelines, and conversational AI — with a focus on making them work on real constraints rather than ideal infrastructure. My recent work includes fine-tuning LLaMA 3.1-8B on a Bengali empathetic conversations dataset using LoRA and Unsloth, achieving a validation perplexity of 1.51 with only 0.9% o
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.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
