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Achievement: QuickdrawAchievement: Pull Shark

Achievements

Achievement: QuickdrawAchievement: Pull Shark

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@ACM-Student-Chapter-ETAMU

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pushpullleg/README.md

Mukesh Ravichandran

MS Computer Science student at East Texas A&M. I build full-stack web apps, data pipelines, and AI-backed tools.

Currently studying DSA and looking for SWE roles.

Languages & tools Python · JavaScript · TypeScript · Java · SQL · Node.js · PostgreSQL · Streamlit · Flask · GitHub Actions · Docker · OpenAI API · XGBoost

Links LinkedIn · LeetCode · Email

Projects
renaissance-learning-agent Streamlit app that walks learners through a personalized career roadmap with an AI tutor and a live analytics panel
cricket-commentary-agents Multi-agent system that polls a live cricket API, routes user queries to specialized agents, and returns natural-language commentary
ncaa-financial-predictor XGBoost pipeline that classifies NCAA athletic department financial health using 10 years of public data — 87.6% accuracy, 0.97 ROC-AUC
fittober-platform Serverless fitness tracker with a Node.js/PostgreSQL backend, automated email digests, and a real-time team leaderboard
er-idle-time-analysis Analysis of 15,000+ ER records to find that the bottleneck is process-driven, not staffing-driven

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  1. cricket-commentary-agents cricket-commentary-agents Public

    Multi-agent system generating real-time cricket commentary — event polling, query routing, probability engine, and 5 specialized agents

    Python

  2. er-idle-time-analysis er-idle-time-analysis Public

    Analyzed 15,000+ ER patient records to detect doctor idle time — built a 4-condition detection model, found process bottlenecks that staffing can't fix

    Jupyter Notebook

  3. fittober-logger fittober-logger Public

    Lightweight activity logger with Google Forms automation and Apps Script integration — zero backend, deployed on GitHub Pages

    JavaScript

  4. fittober-platform fittober-platform Public

    Full-stack serverless fitness tracker — Node.js + PostgreSQL + GitHub Actions CI/CD + automated email digests + real-time team leaderboards

    JavaScript

  5. ncaa-financial-predictor ncaa-financial-predictor Public

    XGBoost ML pipeline predicting NCAA athletic department financial trajectories — 87.6% accuracy, 0.97 ROC-AUC across 10 years of data

    HTML

  6. renaissance-learning-agent renaissance-learning-agent Public

    Hackathon-winning AI Learning Agent: Orchestrating personalized career paths with OpenAI tutoring and real-time student analytics

    Python