Skip to content

New York local

Prashant Pilla

Software Engineer — AI, Web3, Finance

I like building systems where new technology has to survive contact with real money and real people.

Scroll

01 — Highlights

Things I have built, and a few I have lived.

Builds, research, ventures, and life. Press f to cycle the filter.

Showing 12 highlights

02 — Selected Work

Things I have shipped.

Case studies with the problem, what I built, and what happened.

  1. 01TabiSolana payments, group bill splitting, and an AI advisor on your wallet. Colosseum Breakout 2025 finalist.Next.js 15TypeScriptExpressSolana Web3.js2025
  2. 02open-verseLLM trading agents compete on paper markets. An orchestrator ticks the market, calls the models, places paper orders, and a dashboard shows who is winning.TypeScriptNode.jsOpenAI SDKAlpaca Paper Trading2025
  3. 03Gopher Drone Sim3D campus drone delivery simulation. A C++ engine with priority queues, weather, and leader/helper handoff talks to a Three.js frontend over WebSockets.C++libwebsocketsMakeTypeScript2025
  4. 04CiteworkGrounded investment-committee memos. The model extracts, Python does the math, and a human approves before a sentence of prose exists.Python 3.12Anthropic APIStreamlitDecimal arithmetic2026
  5. 05Insurance Claims SOP AgentA conversational insurance-claims agent where a deterministic controller enforces the procedure and the LLM only extracts and phrases.Python 3.12FastAPIOpenAI / Anthropic APIsDocker2026
  6. 06ADIN Marketing SiteNext.js marketing site for ADIN, an AI-first venture DAO, with dedicated flows for investors, members, and founders.Next.js 15React 19TypeScriptTailwind CSS 42025

03 — About

Born in Auckland. Raised in Hyderabad. Building in New York.

I build at the intersection of AI, Web3, and finance. Most of my days are spent at Tribute Labs in New York, shipping production AI for institutional investors, and scouting early-stage companies for ADIN, an autonomous deal network the team is building on top of that work.

I was born in New Zealand and grew up in Hyderabad. Somewhere between the two I picked up a habit of paying attention to how people from different places think, which is probably why I ended up caring more about who a system is for than what it is made of.

At seventeen I became a certified yoga instructor at an ashram in Quebec. It taught me that discipline is mostly about showing up quietly and often, and that is still how I approach code, research, and the occasional 36-hour hackathon.

I studied computer science at the University of Minnesota, where I published a deep learning paper on forecasting the S&P 500 and spent too many evenings at the Blockchain Club. I am happiest when a problem sits between engineering, product, and the people who have to trust the result.

Currently at
Tribute Labs, Software Engineer
Also
Scout at ADIN
Education
B.S. Computer Science, University of Minnesota
Certifications
Palantir Foundry Aware Professional; Foundry & AIP Builder Foundations; Yoga Instructor Level I (Sivananda)
Cities
Auckland, Hyderabad, Minneapolis, New York
Languages
English, Telugu, Hindi, Urdu, Spanish, French

Research · arXiv · Jan 29, 2025

Forecasting S&P 500 Using LSTM Models

Prashant Pilla, Raji Mekonen

Compares ARIMA and LSTM networks for forecasting the S&P 500 on daily data from October 2013 to September 2024 with Bloomberg technical and macro features. The LSTM without additional features performed best, and the paper argues that sequence models handle non-linear market dependencies that linear baselines miss.

Read on arXiv Writing on Medium
LSTM accuracy (no features)
96.41%
LSTM MAE / RMSE (no features)
175.9 / 207.34
LSTM accuracy (with features)
92.46%
LSTM MAE / RMSE (with features)
369.32 / 412.84
ARIMA accuracy
89.8%
ARIMA MAE / RMSE
462.1 / 614

04 — Ventures

Engineer, and builder.

Scouting, angel work, and the occasional company. If you are a founder or want to build something together, my inbox is open.