From backend APIs and databases to AI pipelines and production deployments – I build things end-to-end, and I've been doing that across stacks long enough to know what actually works.
I build complete systems – not just pieces of them. Backend designed, database architected, frontend shipped, AI pipeline running, deployed to production. That end-to-end ownership is what makes the difference between a demo and a product.
My depth spans autonomous AI systems, multi-agent orchestration, and self-healing pipelines as much as it covers Android apps, REST APIs, full-stack web, and desktop with Electron. I pick up whatever a problem demands – and I've demanded enough from myself to cover most of it.
An autonomous AI system that takes a business goal and figures out how to execute it — end to end.
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KYRON is a full-stack SaaS platform where you define a business goal and an AI agent network handles the execution. It uses a multi-agent architecture — one agent plans, one monitors progress, one handles recovery when things go wrong. Every decision made is logged and fully auditable.
A transformer-based language model built completely from scratch — not fine-tuning, not an API. The real thing.
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Built a transformer-based LLM in PyTorch from the ground up — including a custom tokenizer, embedding layers, multi-head self-attention, positional encoding, and a complete training pipeline.
A RAG pipeline that detects when it's wrong and automatically fixes itself — no silent hallucinations.
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Most RAG systems return confident wrong answers. This one doesn't. After generating a response, it validates the output against retrieved context. If confidence drops below threshold, it rewrites the query and tries again.
A data intelligence platform for tracking, analyzing, and predicting groundwater levels across India.
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End-to-end app built to handle water data at scale. Ingests real-time WRIS + NASA readings, runs ML models for anomaly detection and prediction, and surfaces insights through a visual dashboard.
Multimodal AI that detects deepfakes, fake messages, AI-generated content, and cloned voices — and explains exactly why.
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SACH AI analyzes text, images, videos, audio, and screenshots to determine if content is authentic or manipulated. It returns a trust score, risk level, and a clear explanation of the reasoning — not just a label.
Whether it's a job opportunity, a project, or a conversation about something interesting – inbox is open.
Looking for opportunities where I can build real things – AI/ML projects, full-stack systems, challenging engineering problems. If you're building something that needs all-round ownership, let's talk.