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DRJ-14/README.md

Dhanasekar Ravi Jayanthi

Master’s in Computer Science & Engineering | Software Engineer | Full-Stack + ML/LLM Systems

I build scalable, production-oriented software and applied ML systems. My work spans full-stack development, NLP pipelines, and transformer-based workflows, with an emphasis on clean architecture, measurable impact, and reproducible experimentation.

What I work on

  • Full-stack applications and APIs (design, implementation, testing, deployment)
  • ML/NLP systems: text classification, retrieval workflows, model evaluation, and inference optimization
  • Data engineering and backend performance: database design, indexing, and service reliability
  • Experiment-driven development: notebooks, metrics tracking, ablations, and comparisons across models

Technical focus

  • Languages: Python, Java, JavaScript/TypeScript
  • Backend: REST APIs, microservices, SQL, system design
  • ML/AI: Transformers, fine-tuning workflows, evaluation, inference
  • Tooling: Git/GitHub, Docker, CI/CD, testing, Jupyter

Featured work

  • Transformer-based NLP notebooks: sentiment classification (IMDB), token classification (NER), text summarization, fill-mask, and model analysis
  • ML/LLM systems projects: retrieval pipelines, vector search concepts, and applied model experimentation
  • Full-stack development projects: end-to-end application development with robust backend integration

Connect

Popular repositories Loading

  1. DRJ-14 DRJ-14 Public

    Config files for my GitHub profile.

  2. Weather-Patterns Weather-Patterns Public

    Forked from Archana-Vellanki/Weather-Patterns

    Dart

  3. context-aware-email-assistant-RAG context-aware-email-assistant-RAG Public

    RAG system to query Gmail Takeout (.mbox) with semantic search + local LLM inference; includes optional Gemma QLoRA fine-tuning.

    Jupyter Notebook

  4. Distributed-Stock-Ticker-Notification-System Distributed-Stock-Ticker-Notification-System Public

    Distributed stock/news ticker notifications via custom Java Pub/Sub over TCP sockets (master + secondary nodes, topic-based subscribers).

    SCSS

  5. Smart-Garden-Simulation Smart-Garden-Simulation Public

    Java-based Smart Garden simulation modeling plant growth, parasite/pest attacks, and environmental events using OOP, multithreading, event-driven design, and JSON-configured entities (plants.json, …

    Java

  6. Pattern-Recognition-and-Data-Mining Pattern-Recognition-and-Data-Mining Public

    ML pipelines in Python/Jupyter: preprocessing → feature extraction → classification/clustering → evaluation; includes scikit-learn models + TensorFlow/Keras peptide classifier.

    Jupyter Notebook