Welcome to my corner of the AI frontier
Rohan Sharma
AI/ML Research Engineer - Computer Vision - Interpretability - Computational Neuroscience - LLM Safety
I am an AI/ML research engineer focused on interpretable and trustworthy AI systems, with work spanning computer vision, deep-learning representation analysis, feature-space visualization, and model interpretability. My background connects computer science, neuroscience, and psychology, and I am pursuing an MSE in Artificial Intelligence at the University of Pennsylvania.
Featured Research
Interpretability work across vision, representation analysis, and generalization.
I work on interpretable AI systems, computer vision, learned feature representations, category structure, generalization, and responsible LLM use.
Object Detection, Recognition, Deep Learning, and the Universal Law of Generalization
Faris B. Rustom, Rohan Sharma, Haluk Öğmen, Arash Yazdanbakhsh
Neural Computation, MIT Press
2026
DOI 10.1162/NECO.a.1483Boston University Computational Neuroscience & Vision Lab
AI/ML Researcher
2024 - Present
Investigated how learned feature representations encode category structure and generalization in computer-vision tasks.
Professional Experience
Safety-critical systems and platform software experience.
Collins Aerospace || RTX
Systems Engineer
Full-time summer internship
2025
Cedar Rapids, IA
- Worked on KC-46 RVS 2.0 system integration.
- Reproduced, isolated, and closed cross-component issues.
- Coordinated fixes across hardware and software teams.
- Delivered verification criteria across customer specifications, system-level requirements, subsystem requirements, implementation planning, and system integration.
- Completed verification and validation of avionics systems at the subsystem level.
- Delivered requirements for FPGA components of a safety-critical avionics system.
Collins Aerospace || RTX
Platform Software Engineer
Two full-time summer internships plus part-time work during school semesters
2023 - 2025
Cedar Rapids, IA
- Assisted in design, development, testing, and debugging of control systems.
- Designed and implemented build procedures for hardware/software product development.
- Supported SDLC stages.
- Developed and deployed automated tests to verify hardware and software requirements.
- Contributed part-time during school semesters.
Tech Stack
Research tooling, production frontend, and systems fluency.
A compact preview of the skills page, covering AI/ML, programming, frontend systems, representation analysis, research-data workflows, tools, and databases.
Programming
Frontend
Education
2026 - Present
University of Pennsylvania
Candidate for Master of Science in Engineering in Artificial Intelligence
2022 - 2026
Boston University
Bachelor's Degree in Computer Science
2022 - 2026
Boston University
Bachelor's Degree in Neuroscience
2022 - 2026
Boston University
Bachelor's Degree in Psychology
Hobbies
2014 - 2021
Robotics
FIRST robotics work spanning competitive programming, autonomous control, and reliable hardware integration.
2019 - 2026
Esports
Competitive leadership across collegiate Overwatch and high-school League of Legends.
2022 - Present
Strength Training
Four years of bodybuilding and lifting with a long-term focus on progressive training, consistency, and applied exercise science.
2022 - Present
Running
Running has become a steady part of how I train endurance, focus, and mental resilience outside technical work.
Contact
Build, research, and ship responsible AI systems.
I am reachable for AI/ML research engineering, computer vision, interpretability, and trustworthy AI opportunities.