Professional Overview
I’m an AI/ML Engineer with 2 years at a startup, building LLM-driven solutions for healthcare and automation. I developed a HIPAA-compliant transcription system and a RAG-based mental health voice assistant, improving accuracy by 15% using LangChain, Hugging Face, and GCP. Skilled in Python, FastAPI, MLflow, and GitHub, I optimize MLOps pipelines from fine-tuning to deployment. As a co-founder, I created an AI-powered speech fluency platform with real-time NLP feedback. My freelance work enhanced OCR and API integration for global clients. Holding a B.Tech in AI (9.43 CGPA) and an innovation award, I’m passionate about impactful AI products. Seeking remote AI roles to push generative AI boundaries. I enjoy blogging about AI and mentoring others.
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
