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Schedule Interview NowMy name is Chinmaya S. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Retrieval Augmented Generation, Prompt Engineering, Claude, OpenAI API, LangChain, etc.. I hold a degree in Master of Science (M.S.). Some of the notable projects I've worked on include: Clinical Note Summarization, Private Data Q&A Platform for Reinsurance Insights, Weaveflow — Custom AI Solutions for Startups & Teams, Workspace Q&A Assistant – Slack, Discord, Meet Search, Chat with Your Database: Insights AI. I am based in Bengaluru, India. I've successfully completed 5 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
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Talkdoc
At Talkdoc, I built a HIPAA-compliant NLP system to help clinicians automatically generate SOAP-style summaries from speech and text notes. I integrated Whisper for transcription, OpenAI for summariza
At Tailshift AI, I built a secure, internal Q&A assistant to help a reinsurance team surface underwriting insights buried in documents like messy Excel sheets, PowerPoints, and PDFs. I designed a Retr
I founded Weaveflow to help teams launch AI assistants, agents, and private-data chatbots fast—without needing in-house ML expertise. I led development across LLM-powered RAG pipelines, intelligent ag
Built a private-data search assistant that lets teams ask natural language questions like “What did we decide in last week’s meeting?” or “What’s the status of Project X?” across Slack, Discord, and G
Developed a system enabling users to query structured databases (MongoDB, PostgreSQL) using plain English prompts. I built a natural language to SQL/aggregation pipeline using LangChain, OpenAI, and F
Master of Science (M.S.) in Computer science
2016-01-01-2019-01-01