Priyanshu Bansal | ML Engineer & AI Researcher

About

I’m Priyanshu Bansal, an MS in Computer Science student at Boston University. I like building things that feel clean, simple, fast, and reliable. I’m most motivated when I’m solving real problems instead of just writing code for the sake of it. I care a lot about fundamentals, so I spend time understanding how and why systems work, not just what tools to use.

Outside of classes, I’m usually either refining my skills (DSA + system design + modern full-stack) or exploring AI/ML with a builder mindset: taking an idea from zero to something usable, deployed, and polished. I’m looking for opportunities where I can work with strong teams, take ownership, and ship work that actually makes a difference.

Experience

Jan 2026 — Present

Course Assistant — CS 528 Cloud Computing

Boston University - Graduate School of Arts & Sciences (GRS) · Boston, MA

•Supported weekly labs and office hours; helped students debug cloud deployments, networking issues, and CI/CD workflows.
•Reviewed assignments and provided actionable feedback on system design, scalability trade-offs, and reliability best practices.
•Built/maintained course resources (setup guides, FAQs, troubleshooting notes) to reduce repetitive support requests.
•Collaborated with instructor and course staff to track common pain points and improve lab clarity and grading consistency.

Jan 2026 — Present

Course Assistant — DS 542 Deep Learning for Data Science

Boston University — Faculty of Computing & Data Sciences (CDS) · Boston, MA

•Mentored students during office hours on deep learning fundamentals and implementation details in PyTorch (training loops, debugging, evaluation).
•Assisted with assignment support and grading, emphasizing reproducible experiments, correct metrics, and clean model documentation.
•Helped troubleshoot GPU/Colab environment issues, dependency conflicts, and training instabilities (NaNs, exploding gradients, overfitting).
•Created quick reference notes on best practices (data pipelines, regularization, hyperparameter tuning) to speed up student iteration.

Sep 2025 — Present

Student Manager

Boston University Dining Services — Warren Towers Dining · Boston, MA

•Managed shift operations during peak hours, coordinating front-of-house flow and resolving real-time issues to keep service running smoothly.
•Supervised and trained student staff on station procedures, safety/hygiene standards, and customer service expectations.
•Handled task delegation and coverage adjustments to maintain throughput during rush periods and unexpected absences.
•Ensured compliance with operational checklists (opening/closing, inventory basics, cleanliness), escalating issues to full-time supervisors when needed.

Sep 2024 — Dec 2024

University Teaching Assistant – Deep Learning

Vellore Institute of Technology · Chennai, India

•Mentored 80+ students in designing, debugging, and optimizing deep learning pipelines during weekly lab sessions; hands-on guidance in PyTorch and TensorFlow.
•Reviewed and evaluated end-to-end CNN/RNN/LSTM implementations; improved model performance consistency and training stability across submissions.

Dec 2023 — Feb 2024

Machine Learning Intern

Dabur India Ltd. · Sahibabad, IndiaLink

•Boosted field sales efficiency by 40% by developing a mobile-first Daily Sales Reporting (DSR) system that automated daily reporting and optimized visit routes via route analytics.
•Built a geo-fencing module using Google Maps Platform + Firebase to auto-mark attendance when executives entered assigned territories; eliminated manual check-ins.
•Trained a Random Forest model to rank high-profit retail sites and recommend optimal visit sequences.