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Hi πŸ‘‹, I'm R. Krishnamurthi

πŸš€ Data Scientist | AI Researcher | Full Stack & DevOps Enthusiast

Typing Animation


About Me

  • B.Tech in Computer Science @ IIITDM Kurnool (2022–2026)
  • Currently Conducting Research in Generative AI:
    A Unified Conversation Framework for Efficient, Coherent, and Fair Conversational AI on Edge Devices.
  • Data Science Intern @ Meraqui Ventures (2025) β€” Engineered ML & ETL pipelines integrating ERP systems and LLM fine-tuning for recruitment automation.
  • Development Engineering Intern @ Treacle Technologies (2024) β€” Built Kafka-based real-time analytics integrated with Grafana & Elasticsearch.
  • Interests: Generative AI β€’ RAG Systems β€’ LLM Fine-Tuning β€’ Edge AI β€’ MLOps β€’ Scalable Systems
  • Goal: To bridge AI research and real-world deployment by creating optimized and ethical conversational models for edge computing.
  • Reach me : kiccha1703@gmail.com

Tech Stack

AI/ML: LLaMA 2 β€’ LangChain β€’ Hugging Face β€’ FAISS β€’ Transformers β€’ Prompt Engineering
Data Science: Pandas β€’ NumPy β€’ Scikit-learn β€’ EDA β€’ Feature Engineering β€’ Statistical Modeling
DevOps & Cloud: Docker β€’ Kubernetes β€’ GitHub Actions β€’ Apache Kafka β€’ AWS β€’ Grafana β€’ Elasticsearch


Featured Projects

Enterprise RAG System

Built a complete RAG pipeline using FAISS, LangChain & Streamlit with Recall@K, NDCG evaluation and live citation-based Q&A.

AI Interview Assistant

LLM-driven interview simulator with role-specific question generation, real-time NLP feedback, and 85%+ QA accuracy.

Newzy

Autonomous news aggregator using BART summarization, multi-language support, and 60% faster retrieval via caching.

LLM Chatbot

Context-aware chatbot powered by LLaMA 2, trained for semantic understanding and real-time conversational coherence.


Research

Title: A Unified Conversation Framework for Efficient, Coherent, and Fair Conversational AI on Edge Devices
Focus: Optimizing LLM-based conversational systems for on-device deployment, balancing efficiency, coherence, and fairness.
Tech: LLaMA 3, RAG, Quantization, Federated Learning, and Edge AI Optimization.
Goal: Democratize conversational AI by making it lightweight, private, and ethical for low-resource edge environments.


Certifications & Achievements

  • 2nd Place – GDG Hackathon (AI/ML Track, 2025)
  • 2nd Place – DataWorks Hackathon (LLM Applications, 2025)
  • Oracle Cloud Infrastructure Gen AI Certified (Score: 92.5%)
  • Invited Speaker – ML Research Showcase @ IIITDM Kurnool (2025)

GitHub Insights


Connect with Me



πŸ’‘ β€œCode. Research. Innovate. Inspire.” ✨

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