🔭 I’m working on
AI systems that have to survive contact with real money: an insurance-claims agent harness where a deterministic controller enforces the procedure, Citework for grounded investment memos, and open-verse, an arena for LLM trading agents on paper markets. More at prashantpilla.com.

👯 I’m looking to collaborate on
Early-stage AI tools for finance, agent infrastructure, hackathons, and bold ideas that blend real-world impact with emerging tech.

🤝 I’m looking for help with
Evaluating LLM agents against real procedures, and market-data infrastructure for paper-trading arenas.

🌱 I’m currently learning
How to make LLM agents auditable in production, and how to get more out of Next.js/TypeScript architectures.

💬 Ask me about
Full-stack prototyping, building with LLMs, dockerizing drone simulations, or shipping MVPs in insane timelines.

⚡ Fun facts

• I shipped a Solana payments MVP in under 48 hours (Colosseum Breakout finalist), published deep learning research on the S&P 500, and built a drone simulator, just for fun.

• I became one of the youngest internationally certified yoga instructors at 17.

• Born in New Zealand, I’ve now visited over 15 countries, always chasing culture, people, and perspective along the way.

• 🚀 Production AI for institutional investors: At Tribute Labs, built production AI systems for institutional investors and Fortune 100 clients, delivering end-to-end solutions spanning RAG, cloud infrastructure, and agentic workflows
• 🏛️ Palantir Foundry Certified: Earned Foundry Aware certification covering ontology-driven application development, enterprise data modeling, and operational workflow design → View Credential
• 💡 Deep Learning Researcher: Published S&P 500 prediction models using LSTM & ARIMA → arXiv
• 🪙 Web3 Builder: Finalist @ Colosseum Hackathon | Shipped a Next.js + AI crypto dashboard → Tabi
• 📦 Ops-Ready Developer: Built and deployed a Dockerized multi-drone simulation → DockerHub
• 🏗️ Systems Builder: Designed production AI pipelines, vector database architectures, cloud-native deployments, and distributed application workflows
• 📈 Product Thinking: I don’t just build what’s scoped - I ask how it scales, who it helps, and how to make it invisible and delightful

I love roles that sit between engineering, product, and users.

Whether it's building AI systems for institutional investors, designing workflows in Palantir Foundry, or rapidly shipping prototypes, I enjoy translating ambiguous business problems into working technical solutions.

The most interesting work happens where customer needs, data, and software architecture meet.

• 📄 Current Resume
• 🏛️ Palantir Foundry Aware Certified
• 🔬 Published Research: S&P 500 Forecasting using Deep Learning
• 🌐 prashantpilla.com

I’m open to: Full-time roles in:

• AI Engineering
• Forward Deployed Engineering
• Software Engineering

📫 Reach me → pilla146@umn.edu