I’m a Computer Engineering student who enjoys building practical, scalable systems. Recently: SWE Intern at Samsung Semiconductor, President of tidalTAMU (Texas A&M’s AI/ML org), and applied research on LLMs.
Built a Python/Pandas ML pipeline and tuned Random Forests to uncover more wafer defects with fewer false positives. Developed PySpark workflows streaming sensor data to real-time dashboards for early process drift detection.
Led workshops on CNNs and image detection, and organized four major hackathons including a 300-member ML event with partners such as Google Cloud, NVIDIA, Microsoft, and AWS. Organization of the Year 2024.
Evaluated Large Language Models for disfluency removal.
Operations leadership for a student-led investment group.
Built models to forecast quarterly financial metrics (-20% MSE). Included feature engineering (lagged features,
rolling averages, ratios) and a Flask web UI for deployment.
GitHub repo
Trinity College London — Rock & Pop Guitar Grade 4 • IBM — Machine Learning with Python
LinkedIn: ketan-verma12