I build AI that ships,learns & grows with you.

• S

  Senior AI-FDE (Forward Deployed Engineer)

  Supernal AI

  Jul 2026 - Present

  • Working with founders from day one, helping CXOs, SMEs and founders turn their ideas into products and reach their first million users.
  • Building entire AI organisations of “employees” (agents) for companies.
  • Owning the loop from discovery to deployment to continuous improvement: AI operating systems that actually learn and grow with the business.
• Q

  Founding Agentic AI Manager / Consultant

  QuarterMill

  Founding team

  QuarterMill is the missing layer between the world’s knowledge and the machines that now speak for it: connected across every source, controlled by those who own it, and always traceable to where it came from.

  • Building the first multilingual, multimodal retrieval system focused on low-resource languages, designed to outperform current RAG systems.
  • Leading product development and architecture design with a team of 7 engineers from Yale.
• D

  Founding AI Engineer

  Doktor365

  Founding team

  • Building AI agents for a healthcare startup serving hospitals and medical tourism across the EU and Middle East.
  • Leading AI architecture and development of Secretary, Pre-Ops and Med-Tourism agents that simplify healthcare operations and back-office work.
  • Integrating the multi-agent system with WhatsApp and CRMs, with RAG, orchestrators and tool calling.
  • Developing tractable, precise algorithms to handle compliance and medical precision.

  Secretary Agent demo →PreOps Agent demo →
• 

  Co-Founder & Data Scientist

  Klaimz

  Jan ’24 - Oct ’24

  • One of 20 startups in India incubated at IIM Bengaluru NSRCEL under the Campus Founder Program.
  • Designed the entire platform (mobile and web) for claims filing and analytics with a team of 6.
  • Coded AI features for analytics tasks and query analysis.

  More detail

  • Beyond engineering
  • Worked across sales, marketing, product management, finances, market research, business-model canvas and product-market fit.
  • We didn’t reach product-market fit and shut down in the face of well-funded competition, a lesson I carry into every build.
• 

  Data Scientist

  Autodesk

  Jan ’23 - Jul ’23

  • Employee recommendation product: built an end-to-end internal product that recommends colleagues to connect with based on skills and interest groups.
  • Occupancy forecasting: built an end-to-end time-series algorithm forecasting office occupancy from sensor data across geographies.

  More detail

  • Recommendation product
  • Built multiple recommendation algorithms with AWS Personalize, statistics and SageMaker.
  • Ran the full pipeline myself, from feature engineering to the UI used to demo to stakeholders.
  • Optimised the algorithm by a further 40% and added multiple recommendation filters.

  • Forecasting project
  • Defined the problem statement and engineered features to optimise workspace utilisation.
  • Developed and tested multiple forecasting models with hypothesis testing, plus a custom forecasting feature and stakeholder UI.
  • Delivered a positive financial impact by reducing operating cost and improving space utilisation.

Education · B.Tech in Computer Science & Engineering, Indian Institute of Information Technology, Vadodara