Co-founder & CTO · Harvard MBA ’26

Taking ideas from 0 → scale

I founded India’s largest algo-trading platform, processing $21B+ in transactions across 4M+ users, and exited my first startup at 22 to a Sequoia portfolio. Recently graduated from Harvard and building things at the frontier.

$21B+ processed4M+ users5× faster screening2 patents filed
01Recents builds

Physical AI Teleop Infra

Apr 2026

An embodiment-agnostic, low-latency teleoperation stack in Rust for cross-country control and fast robot deployments.

Agentic Neobanking A2A Rails

Mar 2026

Protocol and infrastructure for agent-to-agent payments: escrow and settlement rails built for autonomous agents.

OpenApps

Apr 2025

A zero-code MCP & A2A gateway. From API specs and docs to working MCP and A2A servers in seconds.

VectorShield

Dec 2024

A cloud-native firewall and guardrail for LLMs and multi-agent systems, for safer usage and lower deployment risk.

02Selected work

Town Lane

2025

AI Strategy Associate (MBA Intern) · $1.5B+ real-estate PE firm · New York

  • Built an AI enablement & deployment roadmap that boosted deal-screening speed 5×.
  • Led the lifecycle for five cross-application AI agents, lifting team productivity 30%.

Streak AI

2017–24

Founder & CTO · no-code algorithmic trading · raised $1.5M (Rainmatter, 3one4)

  • Scaled to 4M+ users and $21B+ in total transactions with a lean team.
  • Built in-house NLP text-to-code serving 500M+ generations at sub-second latency.
  • 20× higher regional concurrency than AWS/GCP at 90% lower cost.

Voonik

2015–17

AVP, R&D · Sequoia-backed e-commerce (acquired by ShopUp) · Bangalore

  • Architected DNNs serving millions of daily requests on 85% less training data, enabling a $20M Series B.
  • Led a 20-person R&D team; +25% conversion, ~15% lower opex, ~$3M saved on returns.

TrialKart

2015

Founder & CTO · AI virtual try-on · exited to a Sequoia portfolio company (~30× ROI)

  • Real-time virtual try-on on low-cost mobile devices, beating two competing Stanford CS PhDs across benchmarks.
  • Patent filed: virtual trial on mobile devices (IN1406/CHE/2015).
03Life arc, loading…
  1. @12

    Resold Pokémon cards and Beyblades at a 200% mark-up.

  2. @14

    Wrote my first C program and landed my first 100 users.

  3. @17

    Self-taught AI/ML (computer vision, CNNs, SLAM) from first principles.

  4. @19

    Research intern on a team competing in the DARPA Robotics Challenge.

  5. @22

    Exited an AI startup to a Sequoia portfolio company, while delivering water gallons door-to-door to cover server bills.

  6. @23

    Built the tech moat behind a $20M Series B.

  7. @25

    Turned down six-figure offers; raised a seed at a seven-figure valuation off a cold email.

  8. @26

    Launched India's largest algo-trading platform; 1M users organically in six months.

  9. @29

    Scaled it profitably past $21 Billion in transactions.

Side missions

I declined two offers from Stanford to join their graduate program, lived in metal sheet houses, grew up fetching water from wells, filed patents, youngest speaker at International AI conferences, coded in COBOL...

Living to make a dent in the universe.

04On the record

Selected talks

  • Digital Pioneer Club, Google Cloud × YourStory
  • Thomson Reuters, Future of Algo Trading
  • Economic Times CIO, Innovation & Growth (2022)
  • Deep Learning Summit Asia, Singapore (2016)

Recognition

  • Top 50 Disruptive Startups, YourStory (2019)
  • Best Fintech AI, Amazon AI Conclave (2018)
  • Techsparks Top 30 (2018)
  • Distinguished Alumnus, VTU

Patents

  • US 62/504,864: NLP-based trading systems
  • IN1406/CHE/2015: virtual trial on mobile (acquired)

Education

  • Harvard Business School, MBA (2024–26)
  • MIT, cross-registered research student(AI) (2025-2026)
  • VTU, B.E. Electronics & Communications
05Still shipping
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Let’s talk.

Founder chats, AI strategy, VC/PE collaborations across fintech, agentic workflows, ML platforms, and data infra.

reach@vipuldivyanshu.com