Based in
Chennai, India · open to software engineering, AI engineering and backend engineering roles
01About
The builder behind the systems
Curious by
default.
I am Suyash Balasubramaniam, a final-year AI & Data Science student and Red Hat Certified System Administrator. I enjoy finding the useful shape of complex technical problems, working across product, backend and applied AI.
Every system I build starts as noise — an ambiguous ask. My work is the discipline of turning that into a clear, working, measurable signal: read the context, shape the system, ship an increment, then learn from what actually got used. That loop is what connects the coaching platform, the enterprise lifecycle tool, the data pipelines and the published patent application on the bench.
$ whoamisuyash
$ roleai × backend builder
$ basechennai, in
$ nowfinal-year · open
seeking SDE roles · 2026
SignalDetails
Education
B.Tech, Artificial Intelligence & Data Science · Sri Sairam Engineering College · 2023–2027 · CGPA 7.5
Certification
Red Hat Certified System Administrator (RHCSA) · Credential ID 250-094-836
Working stack
Python · JavaScript · SQL · PostgreSQL · Linux · Docker · GitHub Actions
Beyond engineering
2nd Runner-Up, World Open Silambam Championship 2025 (Doha, Qatar) · Vice Chairperson, IEEE CTSoc
Now
Seeking software engineering roles · exploring agentic AI and ROS2 digital-twin systems
Diagram / 02 · interactive
Builder signal path
Six signal stages from an ambiguous brief to a shipped, used and learned outcome. Select a node to inspect its role.
signal / 01 · Signal inAmbiguitybrief · problem · intent
Every build starts as a half-formed ask. I capture the actual need — constraints, users and the definition of useful — before anything else is decided.
- scope
- constraints
- users
- input
- one honest brief
- state
- captured
- carry
- users
Operating principles
How I actually work.
Clarity over cleverness
A boring stack that ships beats a clever one that stalls.
Useful over new
New technology earns its place by solving a real problem, not by being new.
Small, observable ships
Increments with real signals beat big-bang launches.
Learn in production
The strongest feedback comes from a system that is actually used.
MeasureBy the numbers
3+years shippingdata → AI → backend
04roles deliveredinternships + products
05core tools dailyPython · JS · SQL · Linux · Docker
01published patent applicationThermoRevive · thermal → DC power
ToolkitSkill matrix
Languages
- Python
- JavaScript
- TypeScript
- SQL
- Bash
Backend & data
- Django
- Flask
- NestJS
- PostgreSQL
- MySQL
- MongoDB
- Redis
- Supabase
Applied AI
- RAG
- FAISS
- Azure OpenAI
- PyTorch
- TensorFlow
- YOLO
- LLM deployment
- Prompt engineering
Systems & ops
- Linux
- RHCSA
- Docker
- Podman
- Git
- CI/CD
- GitHub Actions
- Observability