Experience

Vice President, Machine Learning Club at CHARUSAT University

Designing, building, and maintaining open-source AI tooling used by a small but real community. Responsible for architecture, docs, releases, and triage.

• Shipped 9 releases across two repositories
• Wrote architecture docs and changelogs that users cite
• Turned contributor feedback into a roadmap

Worked on machine learning research and development at Charusat University, contributing to ML pipelines and data-driven solutions.

• Developed and optimized ML models for real-world classification tasks
• Built data preprocessing pipelines and evaluation frameworks
• Collaborated with research faculty on applied ML projects

Building fast with strangers, which is the best forcing function for scoping and demoing I know.

• Led teams to shipping working demos in 24–48 hours
• Focused on sharp demos over broad feature sets
• Met collaborators who became long-term friends

Studying computer engineering with a focus on AI/ML systems, distributed computing, and software architecture.

• Core coursework in DS&A, OS, networks, and ML
• Built side projects that became open source
• Teaching assistantships in data structures

My first merged contribution — a documentation fix that taught me more about maintainers than any tutorial.

• Learned the contribution workflow
• Committed to tiny, well-documented PRs
• Started writing issues that explained problems

Where the next few years are pointed: shipping ML infrastructure that other engineers trust.

• Deepen distributed training and serving work
• Grow Tatvik and AutoDevs into adopted projects
• Write more — systems notes, essays, and docs