A selection of systems I've built - focused on decision-making, correctness, and real-world constraints.
Citation-grounded legal assistant for Indian law using retrieval-augmented generation. Focused on correctness, traceability, and domain constraints.
System focus: Retrieval correctness under legal constraints
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Live market intelligence system that classifies crypto market regimes (trend, range, squeeze) using multi-timeframe data and probabilistic models.
System focus: Real-time regime detection under noisy market conditions
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Market-regime aware trading research system with backtesting, analytics, and risk-aware experimentation across crypto and equities.
System focus: Decision-making under noisy market regimes
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Mobile-first finance product focused on understanding spending behavior, savings patterns, and long-term financial habits.
System focus: Behavioral signals from financial data
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MERN-based marketplace enabling peer-to-peer rentals with scalable media storage and simple discovery.
System focus: End-to-end product delivery
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If you're interested in how these systems were designed, or want to discuss a problem with similar constraints
I'm open to a conversation.