About

Hi, I’m Manish Tiwari

A final-year Computer Science student at IK Gujral Punjab Technical University, Punjab — building practical machine learning systems and taking ideas from experimentation to deployment.

My interests lie in MLOps, AI systems, LLM applications, and the engineering required to make machine learning useful in real-world environments. Along the way, I’ve trained small language models, built production-oriented ML applications, contributed to open source, and explored how reliable AI systems are designed and maintained. Most recently, I worked as an Automation Intern at Smartivity Labs in New Delhi, building Slack-integrated automation used by 100+ people across 200+ projects.

More about me

My journey into machine learning started with curiosity about how computers learn from data. Over time, that curiosity expanded beyond model training into the broader challenges surrounding machine learning systems: data pipelines, deployment, monitoring, reliability and scalability.

I enjoy learning by building. Most of my projects are end-to-end implementations where I can explore the complete lifecycle of a system rather than a single component. This approach has helped me understand both the technical and practical aspects of turning ideas into usable products.

Open source has been an important part of my growth as an engineer. Opening 107 pull requests (41 merged) to projects such as Hugging Face, CHAOSS/Augur, SHAP, Moss, pandas, sunpy, evo and other community-driven repositories has exposed me to collaborative development, code review and the standards required to build software used by real communities.

Beyond engineering, I enjoy writing about technology, research culture and the evolving AI ecosystem. Writing helps me organise my thoughts and better understand the ideas I’m exploring.

Open to remote IST (overlaps EU fully, US East mornings) available for internship/contract now, full-time from mid-2027

Outside of technology, I spend time in the gym, enjoy long cycling trips, and take walks that often become brainstorming sessions for future projects.

Journey

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