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Rudra-Tiwari-codes/README.md

Rudra Tiwari

AI Engineer | Data Science @ University of Melbourne

LinkedIn GitHub Google Scholar


About Me

I am a Data Science student at the University of Melbourne with a strong focus on building intelligent systems that solve real-world problems. My passion lies in bridging the gap between complex machine learning models and scalable software applications. I enjoy tackling challenging engineering problems, from optimizing deep learning inference pipelines to architecting full-stack web solutions.

Open Source Contributions

I actively contribute to major open-source projects in the AI and software engineering ecosystem.

Organization Contribution Impact
LangChain Core framework improvements for LLM applications View PRs →
Meta PyTorch Enhanced model interpretability & attribution tools View PRs →
CERN HSF High-energy physics software foundation contributions View PRs →

Featured Projects

Project Tech Stack Key Metrics & Impact
YouTube Sentiment Analysis PyTorch, FastAPI, Docker, DistilBERT, Redis • Fine-tuned DistilBERT on 131k+ Hinglish comments, reaching 96.47% accuracy.
• Engineered a FastAPI service with Redis caching achieving <50ms P99 latency.
• Architected a production-grade containerized pipeline with automated unit testing.
Telco Churn Retention XGBoost, Kafka, MLflow, Great Expectations • Built a churn prediction system (0.85+ ROC-AUC) with SHAP interpretability.
• Integrated end-to-end MLOps pipeline for experiment tracking and data quality gating.
• Deployed autonomous drift detection (PSI/KS) to maintain production performance.
Blog Aggregator Go (Golang), PostgreSQL, RSS • Achieved sub-100ms latency for concurrent RSS feed aggregation and serving.
• Scalable architecture handling 50+ active feeds with automated background syncing.
Demo
Connect3 Newsletter Python, Recommendation Algos • Achieved 3x higher engagement/CTR vs generic newsletters.
• Delivering personalized event curation to 500+ students weekly.
Discord Calendar Bot Discord.py, AWS • Automating event scheduling for the DS Cubed community (650+ students).
• Reduced manual event management overhead by 80%.
MUIC Website Web Technologies • Optimized asset delivery reducing site load time by 40%.
• Improved SEO ranking to #1 for club-related search terms.
CISSA Catalyst Hackathon React, Node.js • Supported 200+ concurrent users during the 48-hour hackathon event.
• Maintained 99.9% uptime reliability for critical submission portals.

Technical Stack

Python PyTorch JavaScript AWS Docker

Current Focus & Goals

  • Professional Development: Seeking opportunities to work in high-impact technology environments where I can apply my skills in ML and systems engineering.
  • Google Summer of Code (GSoC) 2026: Actively preparing and contributing to open-source organizations to participate in GSoC 2026.

GitHub Stats

Contribution Graph

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  1. CISSA-Catalyst-Hackathon CISSA-Catalyst-Hackathon Public

    CISSA Catalyst Hackathon

    JavaScript

  2. Blog-Aggregator Blog-Aggregator Public

    TypeScript

  3. telco-churn-retention telco-churn-retention Public

    Jupyter Notebook

  4. Youtube-Sentiment-Analysis Youtube-Sentiment-Analysis Public

    HTML

  5. Connect3-newsletter Connect3-newsletter Public

    Python 1