Headline

Data Scientist | ML, NLP & RAG Systems | Python, SQL | Turning Data into Business Insights | Open to Full Time Opportunities

About

🎯 Current Focus: Data Scientist with a strong focus on Machine Learning, NLP, and Retrieval-Augmented Generation (RAG), building production-ready AI systems that transform unstructured data into actionable intelligence. 💡 What I’m Building: Architecting scalable RAG pipelines and LLM-powered applications using Python, LangChain, and Hugging Face. Experienced in vector search, embedding optimization, and deploying AI solutions on AWS with a focus on performance, reliability, and real-world impact. 🏆 Recent Wins: • Designed and deployed a RAG chatbot that reduced internal search effort by ~90 employee hours/month • Improved document retrieval efficiency, reducing lookup time by 37% through pipeline optimization • Delivered end-to-end ML solutions by collaborating with engineering and business teams to translate requirements into scalable systems 🔍 Seeking: Full-time Data Scientist / AI Engineer roles where I can build intelligent systems, optimize large-scale data workflows, and contribute to high-impact, data-driven products. 📬 Let’s Connect: If you're working on cutting-edge AI, LLMs, or data-driven products — let’s connect. I’m always open to opportunities, collaborations, and meaningful conversations.

Location

Mount Pleasant

Work experience

Data Scientist | Machine Learning, LLM & RAG Systems | Python, SQL, AWS at 7TechNIX LLC, Sep 2025 - Present · 9 mos, United States, Designed and deployed a RAG chatbot using Python, LangChain, ChromaDB, and HuggingFace embeddings, partnering with cross-functional teams and articulating retrieval behavior to enhance semantic search and lift query success rate by 15%. Re-engineered retrieval pipelines with engineering and knowledge teams, slashing document lookup time from 6.2 to 3.9 minutes by optimizing embeddings, tuning retrievers, and refining context selection. Operationalized the system using Docker and AWS (EC2/S3), driving team adoption and transforming daily workflows—reducing internal search effort by ~90 employee hours per month.

Graduate Machine Learning Researcher at Osmania University, Jun 2021 - Jun 2023 · 2 yrs 1 mo, Telangana, India, Improved predictive accuracy by up to 35% by implementing Random Forest, XGBoost, and Neural Network models and optimizing hyperparameters for performance and stability. Engineered 12+ high-impact features using Python and SQL, increasing model performance by 22% and uncovering clearer research insights for faculty stakeholders. Developed automated ML pipelines that reduced manual data processing time by 30%, improving workflow efficiency and accelerating experimentation cycles. Designed interactive dashboards in Tableau and Qlik Sense, translating complex statistical results into clear, decision-ready insights for non-technical stakeholders.

Educational Mentor & Program Coordinator at Bachpan Prayas, Aug 2020 - Jun 2023 · 2 yrs 11 mos, Hyderabad, Telangana, India, Facilitated educational workshops and community initiatives for 50+ underprivileged students, improving academic engagement by focusing on STEM and literacy fundamentals. Coordinated with a team of 5 to design inclusive learning modules, ensuring personal development goals were met for diverse student groups. Influenced community outreach strategies that increased student participation by 20% through targeted digital promotion and local networking.

Education

Master of Science - MS, Information Systems, Central Michigan University

Bachelor of Engineering - BE, Computer Science and Engineering, Osmania University