Professional Overview
I have more than 1 year of professional experience in AI/ML (11 months - full time, 5 months internship). Majority of my experience revolves around LLMs. In my current job, I have worked with both Open Source Models and APIs. I have used various speech-to-text models. I have also used AI tools like HuggingFace, Langchain and LangGraph for fine-tuning or for creating agents both professionally and in my personal projects. In my current job, I have been regularly using cloud platforms like AWS, Azure and GCP. I am proficient in using Linux environments and OpenSearch for scalable data indexing and retrieval. I have also configured OpenSearch Dashboards for real-time data visualization and monitoring.
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
