I architect and ship production AI systems — RAG platforms, multi-agent orchestration, LLM infrastructure — proven across multiple industries, including one of the world's most regulated.
I design end-to-end AI systems that go beyond demos — governed, auditable, and running in production for real users.
- 🚀 9 AI systems designed and shipped, 5 live today — across 8 domains: talent intelligence, sales intelligence, consulting & decision support, financial services, EdTech, civic analytics, HR & performance, and data engineering
- 🏗️ 20 years of experience: 8 years in technology delivery (100+ client projects) followed by 12 years in enterprise environments, including Emirates NBD where I was recognised as a top 1% performer
- 🛡️ Regulated-industry depth: I understand compliance, auditability and governance from the inside — skills that transfer to any enterprise AI deployment
- 📜 5 provisional patents filed for novel AI architectures
🔒 A note on links & source code: my products are commercial and client-facing, so I keep source code and direct product links private here out of confidentiality. Full case studies and live demos are available at sivakumar.ai or on request.
| Repository | What it is |
|---|---|
| llm-gateway | Multi-provider LLM routing — automatic failover, circuit breaking, a bounded latency budget, and cost tracking that refuses to guess. One runtime dependency, 115 offline tests, MIT. |
| ai-architecture-notes | Design decisions from production AI systems with the trade-offs left in — agent governance, auditable LLM decisions, hybrid retrieval, and why AI programmes actually fail. |
| ai-systems-portfolio | Case studies of all nine production systems across six industries — architecture, decisions and trade-offs, with source kept private. |
| System | Domain | What it does | Status |
|---|---|---|---|
| Inteller | Talent intelligence | Ghost-job detection & resume tailoring across 30+ job platforms | 🟢 Live |
| SKC Digital | Consulting / decision support | Executive simulation built on 30+ documented AI programme failures | 🟢 Live |
| RM Assistant | Financial services | Relationship-management copilot with structured memory persistence | 🟢 Live |
| AI Leads Portal | Sales intelligence | Conversational intent capture & pipeline scoring with self-learning feedback loops | 🟢 Live |
| PremiumRadar | B2B sales intelligence | Governed intelligence platform for regulated industries — 2,600+ source files, 38+ services, 5 provisional patents | 🤝 Design-partner stage |
| Payroll Enrichment | Data engineering | ADGM registry extraction and enrichment pipeline | 🟢 Live |
| Arsha LMS · Chunav · Coach | EdTech · Civic analytics · HR | Multi-tenant learning platform, election analytics, performance evaluation | 🛠️ In design / build |
- Multi-provider LLM gateway — failover across Anthropic, OpenAI and Vertex AI with per-request cost tracking
- Governance by design — the reasoning layer holds no credential that can change anything; deterministic state machines with 6 decision gates
- 11-layer discovery pipeline for entity resolution and enrichment
- Retrieval done properly — pgvector + Neo4j hybrid search, structured memory, full audit trails
Claims are cheap. Each capability below links to the code or the write-up that demonstrates it.
| Capability | Evidence |
|---|---|
| LLM platform engineering — multi-provider routing, failover, circuit breaking, cost governance | llm-gateway — working code, 115 tests, 94% coverage |
| Agent governance — reasoning layers that hold no credential able to change state | The reasoning layer holds no credential |
| Auditable AI decisions — deterministic gates around a probabilistic core | Deterministic gates |
| Hybrid retrieval — pgvector for passages, graph for identity and relationships | What vectors miss |
| AI programme diagnosis — 30+ documented failures and where they actually go wrong | Why AI programmes fail |
| Regulated-industry delivery — compliance, auditability and governance from the inside | 12 years in banking · 5 systems live in production |
Day to day: Python · FastAPI · Node.js · Next.js · PostgreSQL / pgvector · Neo4j · Firestore · Redis · GCP (Cloud Run, Pub/Sub) · Docker · Anthropic / OpenAI / Vertex AI
Most commits land in private product repos — the graph reflects private contribution counts.
AI Solutions Architecture · AI / ML Engineering · LLM Platform Engineering · Technical Leadership
Across enterprise SaaS, fintech, government, consulting and product companies — Abu Dhabi / UAE (on-site or hybrid), and remote worldwide.