Welcome
Manu R, full-stack engineer in Bangalore
Build. Break. Fix. Ship.
Turning caffeine into code for years. Full-stack apps, agentic workflows and cloud infra.
manu@maybecoded: ~
~ % whoami
Manu R, full-stack engineer based in Bangalore.
Turning caffeine into code for years. Full-stack apps, agentic workflows and cloud infra.
~ % cat focus.md
# Current focus
I turn your laptop, workstation or small server into a private AI workspace: local models, Hermes Agent, OpenClaw, tools, permissions, memory, and practical workflows for coding, research and automation.
- runtime
- local models, containers, GPU paths
- agents
- Hermes Agent, OpenClaw, tools, memory
- delivery
- apps, dashboards, infra, handoff
~ % ls ~/stack
- react
- flutter
- typescript
- python
- fastapi
- django
- langgraph
- ollama
- gemini
- three.js
- firebase
- supabase
- postgres
- mongodb
- docker
- terraform
- gcp
- cloudflare
~ % help
Try projects, open seein, contact or sudo hire manu.
Projects
SeeIn
Turns a surgeon's one-line prompt into an interactive 3D operative scene, grounded in cited research and shown only after AI has inspected the actual render.
- Research
- Parallel research branches build a cited evidence dossier first.
- Approve
- Nothing is generated until the surgeon approves that dossier.
- Verify
- Every view is rendered in real Chromium and inspected by Gemini before it is shown.
- TypeScript
- Fastify
- Three.js
- Playwright
- Gemini
- ClickHouse
Geodha
Civic waste reporting for Bengaluru. Snap the problem, pin it on the map, and let AI draft the report.
- Report
- Photo, location and category in one short flow, with AI filling in the details.
- Validate
- Neighbours endorse, flag or resolve reports on a shared community map.
- Escalate
- Eligible reports go to BBMP as grievances through a linked Sahaaya account.
- Expo
- React Native
- Firebase
- Cloud Functions
- OpenAI
- Google Maps
Agentic health app
Client work under NDA
An agent workflow that reads live sensor data alongside meal context and turns it into recommendations that adapt.
- Sense
- Readings stream in from Bluetooth LE sensors in real time.
- Context
- Sensor data is paired with meal context before anything is suggested.
- Reason
- A LangGraph agent workflow decides what to recommend and when.
- Adapt
- Recommendation widgets in the app update as new data arrives.
- LangGraph
- Bluetooth LE
- Agentic workflows
The product itself is private, but I'm happy to walk through the architecture.
CleanClik
Google ML-powered waste detection with QR-based bin categorization and a leaderboard loop.
- Detect
- Google ML Kit classifies waste live in the camera view, on device.
- Dispose
- Users are routed to the right bin, and a QR scan confirms the drop.
- Compete
- Points and a leaderboard keep people coming back.
- Flutter
- Supabase
- Google ML Kit
SPARCD
Personalized goal app that breaks outcomes into adaptive micro-tasks for stronger follow-through.
- Profile
- An 8-dimension profile tunes task size, timing, tone and reinforcement.
- Plan
- Long-term goals become small daily actions tied to milestones.
- Adapt
- When momentum drops, tasks get simpler and timing shifts.
- Flutter
- FastAPI
- MongoDB
- Redis
- Firebase
- RevenueCat
NexxLynx
Matrix client with a local LLM runtime and a Postmoogle email bridge.
- Chat
- Matrix-native secure messaging with voice and video.
- A Postmoogle bridge brings email threads into rooms, no forwarding.
- Local AI
- A local runtime summarizes threads and extracts action items privately.
- Flutter
- Synapse
- PostgreSQL
- Azure
- Cactus AI
Services
Local AI assistants
Hermes Agent, OpenClaw and local models wired up on your own machine.
I install the runtime, connect models, configure tools and permissions, add memory where it helps, and make the assistant usable for coding, research, automation and day-to-day operations.
- Hermes Agent
- OpenClaw
- Ollama
- llama.cpp
- Docker
- MCP
Full-stack apps
Web and mobile apps built for speed, scale and maintainability.
I design and build complete systems from UX flows to APIs, auth, payments, data modeling and deployment, so your team can ship faster and iterate safely.
- React
- Flutter
- Django
- FastAPI
- GraphQL
- MongoDB
- LangGraph
- vLLM
- Agentic apps
Cloud and infra
Cloud and local infrastructure for apps, agents, workers and model workloads.
I set up CI/CD, infrastructure as code, monitoring, alerting, GPU-aware deployment paths and rollback-ready releases, so systems stay predictable.
- AWS
- Google Cloud
- Azure
- Terraform
- CI/CD
- Local infra
Tech consulting
Got an idea and want to vibe code it? Let's get the architecture right first.
We map the scope, stack, data model, APIs, auth, deployment path and risks before the build starts. Then you can vibe code with a clearer path and avoid a lot of future cleanup.
- Product scope
- Architecture
- Stack choice
- Data model
- API design
- Auth flow
- Deploy plan
Debug and fix
For stuck builds, vibe-coded prototypes and products that need to get fixed and launched.
I trace broken flows, clean up rough generated code, fix frontend, backend and data issues, stabilize deploys, and get the project into a shippable state.
- Bug triage
- Code cleanup
- React
- API fixes
- DB fixes
- Deploys
- Performance
- Launch