I build intelligent software systems — not just apps, but tools that think, scale, and actually solve problems.
Currently focused on the ML + Software Engineering (ML+SWE) path, with deep interest in:
- AI-powered products
- Backend-heavy systems
- Observability, infra & real-world engineering
- Hackathons and open-source ecosystems
- 🧠 AI-first tools (LLMs, automation, context-aware systems)
- ⚙️ Production-grade backends (APIs, infra, monitoring)
- 🌐 High-performance web platforms (Next.js, modern stacks)
- 📊 Telemetry & observability pipelines (LLM metrics, cost, latency)
I like projects where engineering depth > flashy UI.
Languages
- Python, TypeScript, JavaScript
Frontend
- Next.js (App Router)
- React, Tailwind CSS
Backend & Systems
- Node.js, REST APIs
- Docker
- Cloud-native design
AI / ML
- LLM APIs & orchestration
- Prompt engineering with structured context
- AI observability & evaluation
- Generative AI workflows
- 🔹 Headless community platforms
- 🔹 LLM observability dashboards
- 🔹 City-aware AI tools (local context understanding)
- 🔹 Hackathon prototypes shipped under time pressure
I prefer fewer projects with real depth over dozens of shallow ones.
- Systems > Scripts
- Reliability > Demos
- Observability is not optional
- AI without evaluation is just guesswork
- Code should explain why, not just what
- Participated in Google, Microsoft & global hackathons
- Strong focus on:
- Problem framing
- Fast iteration
- Clean architecture even under deadlines
- Advanced system design
- Scalable AI architectures
- ML + SWE intersection
- Cloud & infra best practices
- Open-source collaboration at scale
- 🌐 Website: https://priyanshutech.xyz
- 💼 LinkedIn: linkedin.com/in/priyanshuchawda
- 💬 GitHub: @priyanshuchawda