Python · Go · FastAPI · gRPC | Open-Source AI Infrastructure | 📍 Hyderabad, India
- 🧠 GenAI & Backend Engineer @Ascendion (Jun 2024 – Present) — I build multi-agent LLM systems and event-driven backends that ship to real production traffic.
- 🤖 Co-built and production-hardened Pensieve, an AI process-orchestration engine — multi-agent LLM workflows, human-in-the-loop approval gates, real-time streaming, and governed LLM routing across cloud providers. (2K+ daily users across domains.)
- 🧩 AAVA Code (AI coding plugin for VS Code) — architected the backend and re-architected a single-agent prototype into a multi-agent orchestration system (Main-Agent + sub-agent via crewAI flows; 150+ skills, 40+ tools, ~60 commands); also contributed to the VS Code frontend. (3K+ daily users across 5+ client environments.)
- 🔁 Co-built a prompt-driven execution engine (LLM agent orchestration with RAG + ReAct) — raised first-pass acceptance from 65% to 85% and cut planning from 1.5h to 15min. (1.5K+ users.)
- ⚙️ Owned backend systems end-to-end (API design, data modeling, event-driven pipelines) — a decoupled Redis Streams + SSE pub/sub replaced client polling, cutting latency to sub-150ms. (10K+ events/day for 2.5K+ users.)
- 🎨 Co-built a GenAI wireframe generator (PRDs/sketches/prompts → production-ready UI artifacts) and a prompt-to-React system (wireframes → modular components + routing); also led a React → Angular re-architecture with an SSE-driven real-time backend that cut UI load latency ~30%.
- 🛠️ Open-source builder — author of MindForge, Graph-Forge, Agent-Forge, ContextOS, ag-bash & more — agent frameworks, code-intelligence engines, and AI-native tooling. (See Featured Projects below.)
- 🏆 Competitive programmer — Google Code Jam '23 (AIR 420; 3,687 / 85,000+), Meta Hacker Cup '22, Flipkart GRiD '22 top tier; mentored 250–300 students in DSA.
- 🌱 Currently going deeper on multi-agent orchestration, RAG, and distributed-systems design.
- 📫 Reach me at uggesairam0000@gmail.com · 📄 Resume · 💼 LinkedIn
Open-source AI infrastructure I build in the open — agent frameworks, code-intelligence engines, and developer tooling. Commit counts are a build-signal only; each card describes architecture and tech, not adoption.
| Project | What it is & Tech |
|---|---|
| gRPC Microservices — Order Processing System | Polyglot event-driven microservices — gRPC internal RPC + REST gateway, etcd leader election, ACID inventory reservations, a Saga orchestrator, metric-based read routing across PostgreSQL replicas, Debezium/WAL CDC outbox, Bloom filters, Redis caching, DLQ + idempotency, and observability via Envoy L7 (OpenTelemetry/Prometheus/Grafana).Go · Python · gRPC · PostgreSQL · Kafka · etcd |
Graph-Forge · 555 commits |
AI-native distributed code-intelligence platform — code modeled as a Neo4j knowledge graph + Chroma semantic embeddings, served by ~19 polyglot microservices over gRPC/REST. Kafka ingestion, Tree-Sitter AST parsing, full OpenTelemetry/Jaeger/Prometheus/Grafana stack via Envoy. RAG over massive codebases.Go · Python · gRPC · Neo4j · Chroma · Kafka · Next.js |
ag-bash · 392 commits |
AI-native bash interpreter implemented entirely in TypeScript — exposed as the @ag-bash/bash shell engine plus an MCP server and an agent terminal bridge. Tree-sitter WASM parser, esbuild (ESM+CJS), and WASM runtimes (CPython, QuickJS, SQLite3).TypeScript · WebAssembly · MCP · Tree-sitter · pnpm |
| Project | What it is & Tech |
|---|---|
MindForge · 1,193 commits |
Agentic-intelligence framework for Claude Code — 174 slash commands, 154 specialized subagents, 73 skills, hooks, governance, cost-aware model routing, and true wave (parallel) execution. Streaming WebSocket SDK. Ships as npx mindforge-cc.Node.js · TypeScript · MCP · sql.js |
Agent-Forge · 201 commits |
Framework-agnostic, self-improving AI agent infrastructure — a Karpathy-style propose/eval/score/commit-or-revert loop over a mutable markdown agent spec (AGENT.md), git-versioned, with an LLM-judge eval harness and held-out validation to guard against overfitting.Python · FastAPI · pgvector · Celery · MCP · Docker |
ContextOS · 175 commits |
Intelligence layer for autonomous AI agents — SQLite/vector indexing, multi-agent orchestration, and resilience. Ships as core/CLI/MCP npm packages (@context-os/*) plus a spatial dashboard.TypeScript · SQLite · vector search · MCP · React · Three.js |
| Project | What it is & Tech |
|---|---|
CommandVault · 139 commits |
Universal AI command manager — browse/search/organize slash commands, skills, agents, plugins, rules, and hooks across Claude Code, Cursor, Copilot, Windsurf, and Aider. Indexes 350+ items via a VS Code extension, an 18-command CLI, and a three-tier search engine.TypeScript · VS Code Extension · CLI · SQLite |
Not-Humans-Lab · 289 commits |
Thin root workspace federating independent AI-infra sub-projects (SkillStack, Deep-Research, Agent-Hub, rate-limit-observatory) — polyglot Turborepo/pnpm + Next.js, Python (uv + Temporal + FastAPI), and Go services with a Qdrant vector store.TypeScript · Python · Go · Temporal · Qdrant |
 Python |  React |  GitHub | Go | FastAPI | Flask | Django |
| Node.js | GraphQL | PostgreSQL | DynamoDB | MongoDB | Elasticsearch |  MySQL |
| Redis | Kafka | Docker | Kubernetes | Terraform | AWS | Azure |
| Prometheus | Grafana | Linux | Nginx | Next.js | Angular | Tailwind CSS |
JavaScript |
Webpack |
TypeScript |
Redux |
Playwright |
RabbitMQ |
Swagger |
WebSocket |
gRPC |
Git |
Postman |
Jira |
Jupyter |
Sass |
Firebase |
Supabase |
Material UI |
ShadCN UI |
Vue.js |
npm |
Hadoop |
Bun.js |
Vite |
NumPy |
Pandas |
TensorFlow |
Neo4j |
Cassandra |
Bash |
Loki |
GCP |
LangChain |
Apache Spark |
MATLAB |
Selenium |
- 🥇 Google Code Jam 2023 — AIR 420 (3,687 / 85,000+)
- 🏅 Meta Hacker Cup 2022 — Global Rank 4,048 / 70,000+
- 🏅 Flipkart Grid 2022 — Rank 1,325 / 40,000+
- 👨🏫 Mentored 250+ students in Data Structures & Algorithms
- 💼 LinkedIn: https://linkedin.com/in/sairam0424
- 💻 GitHub: https://github.com/sairam0424
- 📧 Email: uggesairam0000@gmail.com
I build systems that scale, stream in real time, and survive production chaos. Multi-agent AI orchestration, event-driven backends, and open-source infrastructure are where I live — and competitive programming keeps the fundamentals sharp.
