ML Engineer in progress. I build systems that learn.

• B.Tech CSE at IIIT Pune (2025 - Present)
• Transitioning from traditional software development to ML + AI systems engineering in public
• Focused on building production-grade, explainable systems instead of demo-only prototypes
• Following a 70/30 split: ML Engineering / AI Engineering

• End-to-end ML systems (training, evaluation, deployment)
• Tool-calling AI agents and RAG workflows
• Public weekly build logs through try.except

• Languages: Python, TypeScript
• ML/AI: PyTorch, Hugging Face, Embeddings, Prompt Engineering, LangChain, LangGraph
• Web: Next.js, React, FastAPI
• Backend/Data: Supabase, PostgreSQL
• DevOps: Docker, GitHub Actions

• try.except - Personal platform documenting a 6-month public learning sprint
• NEOGEN - AI/ML project work
• FasaLink - Applied full-stack/AI build
• Carter AI - AI product/system implementation
• Valid8 - Hackathon project

I am optimizing for depth over hype:

• Strong ML fundamentals (math + implementation)
• Better evaluation discipline
• Better system design under real constraints
• Public accountability through weekly outputs

• Portfolio: tryexcept.app
• GitHub: github.com/10doshi12
• LinkedIn: linkedin.com/in/10doshi12
• Instagram: instagram.com/try.except10
• Email: [email protected]