About β’ π Wins β’ Vision β’ Experience β’ Stack β’ Projects β’ Stats β’ Connect
| π | Hackathon | Scale | Project | Award |
|---|---|---|---|---|
| π₯ | ElevenLabs Hack #7: v0 Β· May 2026 | ElevenGov |
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| π₯ | Airia AI Agents Hackathon Β· Feb β Mar 2026 | Guardian β AI-Governed Incident Response |
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| π₯ | AI Agents Reloaded: Live & Labs Benelux Β· Mar 2026 Β· Google Γ B. Amsterdam | Sentinel AI β Multi-Agent Fraud Detection Β· Google ADK + Gemini Β· 5-agent pipeline |
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| π₯ | DigitalOcean Gradientβ’ AI Hackathon Β· Jan β Mar 2026 | GradientGuard β DORA Compliance Intelligence Platform |
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| π | Hack for Humanity | 2026 Β· Feb 2026 | Amsterdam Pollution Twin Copilot |
I am a Professional Full Stack Developer with over 15 years of hands-on experience in software engineering, system design, and artificial intelligence. Iβve worked across frontend, backend, DevOps, and AI, building enterprise-grade systems for real-world applications β from large-scale microservices to cognitive AI platforms.
Iβm passionate about teaching the real, modern way of coding β combining deep technical foundations with todayβs most advanced technologies: Generative AI, Agentic systems, RAG architectures, cloud automation, and intelligent DevOps.
Whether you are a beginner exploring your first βHello World,β a professional improving your stack, or a researcher/developer exploring AI systems, I guide you step-by-step β conceptually, practically, and strategically.
Building AI systems that are not just powerful β but trustworthy, auditable, and production-grade.
My focus for 2026 and beyond sits at the intersection of Agentic AI, financial compliance automation, and open-source developer tooling:
Shipping multi-agent pipelines that solve real enterprise problems with production contracts, not just demos. Every pipeline I build has deterministic pre-AI logic, human-in-the-loop controls, a full governance audit trail, and zero credentials in code. Proven across incident response (Guardian), fraud detection (Sentinel AI), and compliance monitoring (GradientGuard). Next: expanding Guardian into a multi-jurisdiction DORA/HIPAA/MAS TRM compliance platform and open-sourcing the agent architecture as a reusable framework.
Turning regulatory obligations β DORA Article 11, NIS2, SOX Section 404 β from a cost centre into a competitive advantage. GradientGuard reduced compliance costs from β¬120K/year to β¬2,160/year for a 100-person fintech. The roadmap: live DO monitoring webhooks, multi-tenant SaaS with CISO/auditor/engineer role isolation, and pre-filled DNB and EBA regulatory reporting templates. Target market: 50β500-person EU fintechs paying Big Four firms β¬80β200K/year for DORA readiness.
β‘ Open-Source AI Developer Tooling β SigMap
SigMap is my open-source AI context engine: it scans your codebase and extracts only function and class signatures β no bodies, no imports β then writes a compact file that Copilot, Claude, Cursor, and Windsurf read automatically. Result: 97% fewer tokens, same codebase understanding. Currently at v3.3.0 with 21 releases, 21 language extractors, a VS Code extension, a JetBrains plugin, an 8-tool MCP server, and zero npm dependencies. The roadmap includes a cloud-hosted context API, team-shared context snapshots, and deeper ADK/LangGraph agent integration.
Applying verifiable, cryptographically-signed AI to public-sector challenges. Amsterdam Pollution Twin Copilot proved that civic AI can be auditable by design β every pollution prediction is deterministically scored, Ed25519-signed, and drift-monitored. Next steps: real-time sensor streaming integration, EU Open Data compliance packaging, and a multi-city expansion framework across Europe.
Mentoring developers and evangelising responsible AI engineering practices β explainability-first, version-locked, observable, and compliant by design. Teaching the modern stack: Agentic systems, RAG architectures, MCP servers, and cloud-native AI β through open-source, community contributions, and hands-on hackathon leadership.
π§© Front-End
βοΈ Back-End & Enterprise
βοΈ Cloud & DevOps
π€ AI, ML & Generative AI
π¬ Data & Databases
I am always open to discussing new projects, creative ideas, or opportunities to be part of your visions.
Made with β€οΈ & AI by Manoj Mallick








