$ whoami --verbose
name Hemanath Thangavel
role Machine Learning Engineer / Data Scientist
edu Master's in Computer Science Engineering (Class of 2026)
focus Computer Vision · Deep Learning · Generative AI · Agentic AI
mission Building practical AI systems: Data ➔ Model ➔ Eval ➔ Deploy$ cat impact_and_oss.txt
computer_vision 90.1% mAP@50 · 100% Precision · 3/3 Unseen Events
football_analytics 17K+ Players tracked · 700+ Clubs · 1.8M+ Appearances
open_source Open Source Contributor · OpenAgentHQ · OpenAgent Eval
workflow Branching · Code Review · Unit Testinghemanath@github:~$ grep "featured" projects.db
[FEATURED PROJECTS]
> rumble-strip-detection
Highway safety computer vision system
90.1% mAP@50 | 100% Precision
python, Robo-flow, Open-cv, Inference SDK, Numpy.
> football-player-analytics-dashboard
17K+ players analyzed | 1.8M+ appearances processed
Scikit-Learn, K-means, PCA, KNN, Recommendation systems.
> football-match-predictor
International football outcome forecasting
XGBoost + Scikit-learn
> ai-developer-focus-monitor
Developer productivity intelligence platform
VS Code + Flask + ML
Query OK, 4 projects loaded.$ cat stack.txt
languages Python · SQL · SQLite · Pandas · NumPy
ai_ml Scikit-learn · XGBoost · LightGBM · CatBoost · CNNs · ResNet
cv OpenCV · Roboflow · RF-DETR · Video Processing
deployment Streamlit · Flask · FastAPI · REST APIs
tooling Git · GitHub · Joblib
$ cat open_source.txt
openagenthq - Contributed core fixes & architectural improvements to the primary AI repo
openagent_eval - Enhanced the evaluation-focused codebase via rigorous testing & merged PRs
workflow - Git · GitHub · Branching · Code Review · Unit Testing