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Founder & CEO at Magnence — an AI & Software Development Company building intelligent products from architecture through production. I work across the full stack of modern AI systems: generative AI and LLM applications, RAG pipelines, agentic workflows, and the cloud/DevOps/LLMOps layer that keeps them reliable once they ship. I care less about knowing every framework and more about shipping systems that hold up in production — observable, secure, and cost-conscious, not just demoable. |
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Generative AI apps · LLM systems · RAG pipelines · AI agents & agentic workflows · multi-model orchestration · embeddings & vector search · AI-powered SaaS |
Backend systems & REST APIs · full-stack apps · microservices · database architecture · auth & authorization · API integrations · developer tooling |
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Containerized apps · cloud-native architecture · CI/CD pipelines · production deployment · infra automation · monitoring & observability |
Model integration & prompt pipelines · RAG evaluation · guardrails & confidence thresholds · observability · multi-provider LLM architecture |
AI-powered developer tooling that analyzes GitHub repositories to understand architecture, project structure, data flow, workflows, documentation, dependencies, and development patterns.
AICode IntelligenceRepository AnalysisSoftware Architecture
Privacy-first, self-hosted job search orchestrator — multi-platform discovery and tracking without handing data to a third party.
AI AgentsAutomationSelf-HostedFastAPIPostgreSQL
Edge-AI adaptive traffic signal system using YOLOv8 and Webster's Algorithm for real-time optimization.
Computer VisionYOLOv8Edge AIReal-Time Systems
Languages & ML
Backend & Data
Cloud & DevOps
Frontend & Tools
AI Infra
Building good AI systems takes more than wiring an app to an LLM. A production system runs the full pipeline:
Problem → Architecture → Data & Knowledge → AI / LLM Layer
→ RAG & Retrieval → Guardrails & Validation → APIs & Integrations
→ Deployment → Observability → Continuous Improvement
Reliable · Scalable · Maintainable · Observable · Secure · Cost-conscious · Production-ready