Chitravansh Mohan

I'm building AI-powered products and automation systems, from LLM applications to scalable web data workflows. At FlyRank AI, I developed machine learning models and preprocessing pipelines that contributed to a 15%+ improvement in organic search signals.

I've engineered automated ML evaluation workflows on AWS SageMaker, reducing evaluation turnaround time by approximately 30%. At Futurecept, I built Playwright and BeautifulSoup data-extraction pipelines that process 500+ data points per run, reduce manual effort by 90%, and support 3x more campaigns.

I built Medi-Translate, a Next.js and OpenAI API application supporting 10+ medical translation language pairs and validated across 500+ medical documents. I also created an AI agent to compare cost, performance, and latency across 8+ AI models, reducing manual model evaluation effort by 70%.

I'm pursuing a B.Tech in Computer Science and Engineering at AKTU and bring hands-on experience with Python, TypeScript, LangChain, RAG, MLOps, Next.js, Node.js, Docker, and AWS. I'm an AWS AI Practitioner, certified in Prompt Engineering by Columbia University, and a Third Prize winner in the Lyzr AI Architect Challenge.