At 18, I embarked on a road of quests to transform how people interact with technology. I build at the interdisciplinary edge, products that have compounding network effects, and the potential to accelerate human progress.
At 18, I embarked on a road of quests to transform how people interact with technology. I build at the interdisciplinary edge, products that have compounding network effects, and the potential to accelerate human progress.
An integrated thinking environment — where writing, research, and discussion live together. Solo-built. 75+ orchestrated AI models, 114 languages, millions of monthly requests.
Python library for securing LLM outputs — preventing sensitive data and PII leakage from AI applications.
AI financial analyst that optimizes for how you want to live, not just how much you save. Intelligent cash flow ingestion, intentional spending philosophy, and Sankey-based visualization.
A single API endpoint routing to 17 LLM providers. Drop-in OpenAI replacement with PII cloaking, circuit breakers, and full request logging. Born from brainful's AI layer.
Intelligent compaction and embeddings designed for high-accuracy retrieval. All on local inference — no data leaves the infrastructure.
Multi-agent market intelligence across equities, crypto, commodities, and currencies. Synthesizes data, social sentiment, and fundamentals into trading signals.
Born on the 23rd in India, grew up across seven countries — 🇺🇸 🏴 🇧🇪 🇮🇹 🇱🇺 🇫🇷 🏴. Got into game development and graphics as a kid, which led to software engineering.
In '23 I started brainful and began an MSci in Computer Science at St Andrews — both in the same year. brainful shaped my foundations in systems design, infrastructure, and AI at scale.
As brainful grew, so did the problems around it. PII was being sent openly to external LLM providers, so I built llmshield to lock that down. The AI orchestration layer outgrew the monolith and became cailos. The embedding infrastructure followed the same path — now polyembed. Each started as an internal necessity and became its own product.
tidalsight applies the same multi-agent approach to finance, economics, and market intelligence — a different domain, same underlying thinking.
Always open to applying these foundations to new problem spaces.