engineering.

Currently working as a Founding Engineer at DocuraHealth (YC W26). Previously, I worked as a Machine Learning Engineer at Pibit.ai (YC W21), and a Founding Engineer at Aarogya ID.

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DocuraHealth (YC W26) Founding Engineer
2026 - Present docurahealth.com San Francisco, United States
  • 0 -> 1
  • #1 Engineer
  • Built and improved a Planning Agent system for report generation workflows, orchestrating extraction planning, sample coordination, report preparation, and iterative refinement/replanning for failed or low-confidence outputs, Improved multiple backend workers powering these workflows, contributing to a ~50% reduction in manual operational effort.
  • Developed Verification Agent layers across multiple AI pipelines to validate extracted data and generated reports, reducing report inconsistencies and manual review/correction workload by ~40% for operations teams.
  • Worked on Context Handling systems to improve reasoning consistency and structured output reliability, leading to noticeably higher report quality and reduced regeneration cycles.
  • Optimized worker using asynchronous processing and parallel execution, contributing to lower processing latency & improved throughput.
  • Enhanced OCR and document extraction pipelines by improving prompt behavior, extraction orchestration, and validation logic, improving extraction accuracy and reducing downstream correction effort.
  • Integrated and onboarded new healthcare client workflows, ensuring generated outputs matched client-specific templates, formatting standards, and reporting requirements while reducing template adjustment/review effort by ~50%.
  • Worked on Phone Agent workflows capable of processing call/audio inputs and converting extracted information into structured healthcare forms, reducing manual form-filling effort for operational workflows.
  • Reverse engineered a proprietary .ds2 (Olympus CELP-based) audio format and built a custom decoding pipeline (DS2 → WAV → OGG Opus) to enable accurate transcription using Deepgram/Whisper, overcoming lack of native FFmpeg support.
  • Led end-to-end development of AI infrastructure, workflow automation systems, frontend upload/review flows, and production healthcare AI pipelines as the primary engineer.
  • Tech Stack: Claude Opus 4.7, GPT-5.3, Python, FastAPI, Docker, LlamaIndex, Deepgram, Whisper, Next.js, AWS, Async Processing, OCR Pipelines, Multi-Agent Systems, Prompt Engineering, AI Verification Systems, Audio-to-Structured-Data Pipelines, Report Generation Workflows.
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Pibit.ai (YC W21) - Series A Machine Learning Engineer
2025 - 2025 pibit.ai Bangalore, India
  • Developed a Python-based comparison system using Pandas and Openpyxl to validate model outputs against ground truth data. The system automatically highlighted discrepancies and critical issues, enabling QA and Operations teams to reduce manual review effort by ~70% and generate actionable reports instantly.
  • Improved the performance of the Exmod LLM system by iterating on prompts, evaluating model behavior, and analyzing responses through Langfuse, resulting in a ~25% improvement in document extraction accuracy and reliability.
  • Identified and resolved data contamination and document quality issues across multiple workflows, improving data integrity and downstream extraction performance.
  • Enhanced supplemental document processing pipelines through prompt optimization and backend workflow improvements, reducing manual correction and QA effort by ~40%.
  • Collaborated with cross-functional engineering teams to develop the Piparse package, standardizing document ingestion, preprocessing, and extraction workflows across multiple client pipelines.
  • Contributed to the design and development of an internal prompt management system for centralized prompt versioning, evaluation, and experimentation across large-scale LLM workflows.
  • Tech Stack: GPT 4o, Python, Pandas, Openpyxl, Prompt Engineering, Langfuse, AWS S3, AWS CloudWatch.
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Aarogya ID (Antler'24) Founding Engineer
2024 - 2025 aarogyaid.com Hyderabad, India
  • 0 -> 1
  • #1 AI Guy
  • Evaluated a medical Q&A system by benchmarking LLMs including Claude 3.5 Sonnet, OpenBioLLM, Meditron etc using LLM-as-a-Judge to assess response quality.
  • Worked on SFT for a medical Q&A assistant, building Python-based pipelines to convert raw data into training-ready Q&A pairs, manually validating data quality and coverage across diverse medical use cases, and fine-tuning the model on the curated dataset.
  • Engineered and optimized document digitization workflows using AWS Textract and Claude 3.5, reducing extraction errors by ~40% across medical documents.
  • Integrated Gemini Flash 2.0 into backend digitization pipelines, improving parsing performance and increasing throughput by ~60% on large PDF files.
  • Led the backend integration of Gemini Flash 2.0, handling complex API responses and workflow orchestration using AWS Lambda, Bedrock, and CloudWatch.
  • Designed and deployed REST APIs through AWS API Gateway, enabling secure and scalable access to document digitization services.
  • Full Stack Product Development: Developed and enhanced application features across Frontend & Backend, improving user experience & interface & and optimizing backend document processing & workflow.
  • Authored technical documentation covering system architecture, LLM evaluations, API design, workflow automation, and operational handoff processes.
  • Worked closely with founders and product stakeholders to evaluate model performance, improve workflow reliability, and support the evolution of AI-powered healthcare infrastructure.
  • Tech Stack: Claude Sonnet 3.5, OpenBioLLM, Meditron, Gemini Flash 2.0, AWS Lambda, AWS Bedrock, AWS CloudWatch, AWS API Gateway, AWS Textract, DynamoDB, AWS RDS, Python, REST APIs.
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Multple Startup's Engineering - AI & Full Stack
2021 - 2024 India
  • While in college: worked with 5 startups (including AarogyaID), built & shipped software.
  • From full-stack applications and Machine Learning to RAG/LLM systems. I took things from idea → code → production.
  • Tech Stack: LangChain, GPT-4.1, Scikit-learn, NLTK, BeautifulSoup4, Selenium, Python, Flask, Django, React, PHP, JavaScript, SQL, XAMPP, Git, GitHub, AWS EC2, Hostinger etc
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Open Source, Speaking & Mentorship Community & Education
2022 - 2025 Mumbai, India
Technical Speaker Super AI Community
2024 - 2025 Mumbai, India
  • Conducted sessions and workshops covering MLflow for experiment tracking, fundamentals of MLOps, and Agentic AI & Evals.
Member of Technical Staff TCET-Opensource
2023 - 2024 Mumbai, India
  • Part of the initial team that helped seniors kickstart the Open Source organization at college, growing it to 100+ people.
  • Worked as an MLE, recruited junior engineers, and brought in Major League Hacking (MLH) as a sponsor.
Python & AI Instructor Universe Simplified
2022 - 2023 Mumbai, India
  • Taught Python programming, AI basics, and Statistical Machine Learning to educators and students.

other stuff.

  • Teaching: From formally instructing at Universe Simplified to helping my friends pass their engineering vivas at the last minute, I love breaking down concepts. Teaching helps me learn. If there is something you think I can help you understand, don't overthink it and email me.
  • Speaking & Workshops: I really enjoy conducting technical sessions (remote or on-campus) on topics I'm deeply involved in AI & Software Engineering. If you'd like me to speak at your college, club, or community event, reach out to me.
  • Community Building: I & my 2 friend's helped senior's kickstart the Open Source organization at my college. Even though the college later halted it, growing a community of 100+ passionate engineers.
  • Football: From age 8 to 13, I used to play football like Lionel Messi my dribbling was top-tier. Only the people from my old neighborhood will vouch for me on this, but I hope they remember!
  • Academic Debates: During my Polytechnic project, a senior professor argued that Python was strictly for the frontend. When I explained to him that it is not, his exact words were: "Don't teach me about frontend and backend." I still remember his face.

toolkit.

Domain Proficiency: Machine Learning, AI Agents, Multi-Agent Systems, RAGs, Evaluation, MLOps/DevOps, Backend Development, Full Stack Software Development

Frameworks & Libraries: HuggingFace, Langchain, LangGraph, Pydantic, LlamaIndex, Crew AI, Phidata, TensorFlow, PyTorch, Keras, Scikit-learn, Numpy, Pandas, NLTK, Spacy, Flask, FastAPI, Giskard, DeepEvals

Tools & Platforms: Git, GitHub, Claude Code, Cursor, Opencode, Codex,Antigravity Docker, LangFuse, Langsmith, DVC, MLflow, Postman, DataStax, Unsloth

Databases: MySQL, ChromaDB, Pinecone, FAISS, DynamoDB, MongoDB

Cloud & Infrastructure: CI/CD, Docker, Kubernetes, HELM, ArgoCD, Github Actions, AWS EKS, AWS Bedrock, AWS Lambda, AWS S3 Bucket, AWS RDS, AWS DynamoDB, AWS API Gateway, AWS CloudWatch, AWS EC2

Additional Skills: Next.js, PHP, React & React Native, Teaching

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