Engineering Manager & GenAI Lead building high-velocity teams and production-grade AI systems.
- Engineering Manager & GenAI Lead with 5+ years owning end-to-end SDLC for AI-powered products serving 30M+ users.
- Orchestrates the Generative AI lifecycle - from opportunity framing, model selection & RAG/agents, to secure, observable production rollout.
- Builds high-velocity teams by aligning architecture, process, and mentorship for 50+ engineers across platforms and products.
"Empowering minds with clarity - turning Agentic AI, MCP, data, and ML concepts into reliable production systems."
- 30M+ users served across AI-powered and cloud-native products.
- 40% faster delivery cycles by redesigning SDLC workflows, CI/CD, and release governance.
- 50+ engineers coached from junior to senior levels through structured mentoring and 1:1s.
- GenAI initiatives from 0 → 1 → production, including RAG platforms, agentic workflows, and evaluation pipelines.
| Domain | Core Stack |
|---|---|
| 🤖 GenAI & LLMs | Python • LangChain • LangGraph • LlamaIndex • Agno • CrewAI • Pydantic AI • Hugging Face • OpenAI |
| ⚙️ Platforms & Engineering | Python • JavaScript • TypeScript • Go • Rust • React.js • Next.js • Django • FastAPI • Node.js |
| ☁️ Cloud & DevOps | AWS • GCP • Azure • DigitalOcean • Docker • Kubernetes • Terraform • Ansible |
| 📊 Data & Analytics | PostgreSQL • MySQL • MongoDB • Redis • Elasticsearch • Pandas • NumPy • scikit-learn |
| 🧭 Leadership & Process | Engineering management • Agile & Scrum • Roadmapping • Hiring & interviewing • Stakeholder communication |
More tools I use in practice
- Infrastructure & CI/CD: GitHub Actions • GitLab CI/CD • Jenkins • CircleCI • ArgoCD
- AI tooling: Vector stores, RAG frameworks, observability stacks for production AI
Tip
"People over Code" - shipping durable systems by first investing in the humans who build them.
- How I lead: Clear context, honest feedback, and psychological safety so teams can move fast without burning out.
- How we work: Lightweight process, high ownership, and data-informed decisions over ceremony.
- How I support growth: Structured 1:1s, pairing, and tailored growth plans - from junior to staff levels.
- How I partner with stakeholders: Translate AI and platform strategy into roadmaps, trade-offs, and measurable business outcomes.
89+ Certifications in AI, Cloud & Leadership - click to expand
- 🤖 AI & ML: GraphRAG Essential Training • Agentic AI Design Patterns • AI Security (AKYLADE) • LLMOps & Model Deployment
- ☁️ Cloud, DevOps & MLOps: DevOps Professional Certificate • Kubernetes Crash Course • AWS Fundamentals • Infrastructure as Code (IaC)
- 👔 Leadership & Delivery: Succeeding as First-Time Tech Manager (PMI) • Agile Project Management (Atlassian) • Scrum Fundamentals
- 🔗 Full list: See all 89+ certifications on LinkedIn
Watch my TEDx talk on engineering, AI, and impact.
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Ravent 🧠 Production-oriented RAG and Agentic AI reference, showcasing retrieval pipelines and evaluation-ready patterns. Python · LangChain · Agno · ChromaDB
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Agentica 🤖 Agentic AI chat platform with auth, profiles, and extensible tools - a template for enterprise-grade agent experiences. LLM · Python · React
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MarkVista 📝 Professional Markdown preview & export app demonstrating polished UX, theming, and modern frontend patterns. Next.js 16 · Tailwind CSS
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Qall 📞 Premium dialer with T9 search focused on responsiveness and offline-friendly mobile UX. React Native · Expo
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- FineTuning PHI-3 for RAG: Why Small Models Are Best for Production - How to make compact models competitive for real-world RAG systems.
- Complete Guide to System Design: From Single Server to Scalable Architecture - A practical walkthrough of scaling decisions from MVP to high-traffic systems.
- Building AI Agents That Actually Remember: A Developer’s Guide to Memory Management in 2025 - Patterns for long-term memory and context in modern agent architectures.
