I'm a Computer Engineering senior (CS minor) at UMass Boston, graduating in December 2026. I work mostly in Python on machine learning and robotics. Below are two projects that grew out of earlier work: my Senior Design robots and a Boston 311 data project.
Each repo has the code, the data source, the results and what didn't work.
A two-robot gridworld simulator based on my Senior Design project. It compares the original "hold when the link is down" rule with tabular Q-learning and DQN policies on held-out maps.
With the link down 90% of the time, the hold rule finished 17.6% of missions in open field. A DQN that remembers where its partner was last seen finished 98.6% (mean of 5 seeds).
Code, results & write-up →
Predicts, when a Boston 311 request is submitted, whether it will miss the City's own SLA deadline. Trained on 2025, tested on January–June 2026.
Gradient boosting reached ROC-AUC 0.893 on 137,225 test requests, versus 0.867 for a per-type lookup table.
Code, results & write-up →Data team of the bank's Artificial Intelligence Center of Excellence, and Digital Channels. Data preparation, analysis and applying AI to business needs.
Selected from 4,000+ applicants. Cornell University certificate in Machine Learning Foundations (Aug 2025).
Wrote the Q-learning decision module that chooses the next move for two Raspberry Pi robots (code).
ENGIN 104, Introduction to Engineering.
Python and SQL ML workflows on 10,000+ record datasets.
Python, C, Java, SQL, Bash
scikit-learn, PyTorch, pandas, NumPy, Matplotlib; gradient boosting, Q-learning, DQN
Linux, SSH, Git/GitHub, Raspberry Pi
B.S. Computer Engineering, Minor in Computer Science, UMass Boston, GPA 3.74
I'm looking for full-time ML engineer or software engineer roles in the Boston area starting in 2027. The best way to reach me is murad.eyvazov001@umb.edu or LinkedIn.