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Frontier LLM applications focused in structured data extraction, contextual reasoning and intelligent task synthesis. |
Domain-specific intelligent products combining foundation models with deterministic software logic. |
Production retrieval architectures with vector embeddings, semantic search, and verified citations. |
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Zero-cloud local inference running in browsers via WebGPU and WebLLM for complete privacy. |
Codebase intelligence, structural parsing, and automated software analysis pipelines. |
End-to-end applications built with modern reactive frontends and high performance asynchronous APIs. |
Languages
Frontend
Backend & APIs
AI & Machine Learning
Models & Platforms
Databases & Vector Stores
DevOps & Tools
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Premium music streaming experience.
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AI-powered creative intelligence platform.
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AI-powered software intelligence platform.
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AI audit & compliance intelligence platform.
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Private, offline-first on-device AI assistant.
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AI agriculture & farmer intelligence system.
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AI-assisted electricity bill & energy intelligence.
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Problem ──► Understand ──► Build ──► Integrate AI ──► Test ──► Deploy ──► Improve
AI + Deterministic Logic + Good UX + Reliable Engineering
AI should be a component of a reliable software system, not the entire system. Complex applications require combining AI perception and semantic extraction with deterministic calculations, rigorous validation, and intuitive user experiences.
| 🤖 AI SYSTEMS | 🔎 KNOWLEDGE SYSTEMS | 💻 PRODUCT ENGINEERING |
|---|---|---|
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- 🧠 LLM Engineering & Agents: Production-grade agentic workflows with deterministic validation.
- ⚡ On-Device Inference: Advancing browser-native local models via WebGPU & WebLLM.
- 🔎 High-Precision RAG: Hybrid retrieval pipelines with vector embeddings and semantic reranking.
- 📄 Document Intelligence: Structured multi-format extraction for compliance and audits.
