Vedant Bhasin Email & Phone Number

San Jose, Ca, Us

Basking Ridge, New Jersey, United States

Researching the detection of trojan backdoors in large language models under the TrojAI program, supported by the Intelligence Advanced Research Projects Activity (IARPA). Developed a novel black-box trojan detection algorithm that relies solely on model logits, improving ROC-AUC from 0.708 to 1.0 and reducing runtime by approximately 60%, achieving a top position on the leaderboard. Implemented and modified state-of-the-art discrete optimization-based jailbreaking techniques.

Pittsburgh, Pennsylvania, United States

Teaching Assistant for CMU’s flagship deep learning course with Professor Bhiksha Raj. Lead TA for two of the four major projects in the course. Responsible for preparing datasets, developing starter notebooks, and conducting experiments to discover high-performing architectures and optimization specifications. Conducting recitations and lectures on Transformers, Deep Reinforcement Learning, and project workflow fundamentals. Hosting competitions on Kaggle with 200+ students. Mentor for student-led projects.

Cape Town, Western Cape, South Africa

Developed a random forest classifier to distinguish between 11 different cancer types on the basis of gene expression data. Employed feature selection techniques such as Mean Absolute Deviation, Recursive Feature Elimination, and Random Forest Feature Importance to reduce feature space from 58440 to 20. Developed, Evaluated, and optimized different models using Scikit-learn and PyTorch; Utilized randomized grid search to optimize hyperparameters, achieved a classification accuracy of 95.20%.

Bengaluru, Karnataka, India

Part of a team that developed software to track sleep stages using cardiovascular data from the device and potentially detect sleep apnoea. Involved in project planning, execution, and software development in python.

Mumbai, Maharashtra, India

Worked extensively with the energy team, researching renewable energy technologies for the capture and utilization of carbon dioxide. Compiled a report focussing on emerging technologies, prominent companies, and concluding with my own recommendations. Gained valuable insight into the intersection of engineering innovation and industrial application.

Master Of Science - Ms, Electrical And Computer Engineering

AI/ML Systems Concentration Relevant Coursework: Deep Learning Systems (10-714), Parallel Computer Architecture & Programming (15-618).

Bachelor Of Science - Bs, Electrical And Computer Engineering

Software Systems Concentration Relevant Coursework: Deep Reinforcement Learning & Control (10-403), Introduction to Deep Learning.