I’m a software engineer with 3yrs of experience(self-taught) and technical founder building systems across
AI, machine learning infrastructure, and intelligent automation.
I specialize in turning complex ideas into production-grade systems that scale, integrate, and survive contact with the real world.
- Machine Learning systems (training, inference, optimization)
- AI infrastructure, orchestration & deployment
- Intelligent agents, automation pipelines, and decision systems
- Early-stage robotics & embedded intelligence
I care about how systems behave under load, at scale, and over time.
| Technical Skills | Soft Skills |
|---|---|
| Python (ML, automation, backend systems) | Systems thinking |
| JavaScript / TypeScript (full-stack) | High-signal communication |
| Machine Learning pipelines (training → inference) | Problem decomposition |
| LLMs, AI agents & orchestration frameworks | Strategic listening |
| FastAPI, Node.js & API architecture | Ownership & execution |
| Distributed systems fundamentals | Clear technical writing |
| Databases: PostgreSQL, MongoDB, Firebase | First-principles reasoning |
| Cloud & AI infrastructure fundamentals | Adaptability under pressure |
| Automation & workflow design | Long-term thinking |
An intelligent system focused on automation, orchestration, and structured decision-making, designed with extensibility and scale as first-class concerns.
A data-driven platform exploring applied intelligence, system workflows, and signal extraction, built for clarity and operational use.
- Systems before features
- Clarity before complexity
- Execution before optics
- Build once, scale deliberately
I optimize for leverage, durability, and compounding outcomes.
I’m intentionally moving deeper into ML infrastructure, AI systems, and robotics,
with long-term interest in autonomous systems, embedded intelligence, and large-scale technical execution.
Build quietly. Ship relentlessly.