Faculty
Mr. Balagangadhar Reddy Kandula
Assistant Professor
Bio
An academic and researcher dedicated to bridging the gap between theoretical computer science and practical, large-scale industrial application. My teaching philosophy centers on "learning by building," where students engage with real-world problems in data science and AI. I am deeply motivated by MIT-WPU’s vision of fostering research-led innovation and contributing by integrating advanced technologies such as LLM-powered recommendation systems and distributed computing into our institutional ecosystem to enhance academic outcomes and operational efficiency.
Educational Qualifications
Ph.D. in Data Science (Pursuing) – CHRIST University
M.Sc. in Data Science – CHRIST University
B.Sc. Electronics, Computer Science and Mathematics – Andhra Loyola College
Areas of Expertise : Data Science, Machine Learning, Large Language Models (LLMs), Recommendation Systems, Distributed Computing, and Full-Stack Development (React, Django, Tailwind CSS).
Teaching Experience : Four years of teaching experience, including pedagogical focus on Data Science and Analytics for MCA and advanced software engineering practices.
Industry / Research Experience
With over five years of experience in academia and industry, my work focuses on bridging the gap between high-level research and scalable software solutions. During my tenure at CHRIST (Deemed to be University) and currently at MIT World Peace University, I served as an AI Advisor at Sriya.AI and as a Data Scientist at Keydabra, where I specialized in building complex systems like DeepVett, an AI-powered recruitment platform designed for deep technical profile analysis. My current research explores semantic data enrichment and the optimization of candidate generation in recommendation systems through the integration of Large Language Models (LLMs) and distributed computing frameworks like Apache Spark and Hadoop, supported by a background in full-stack development using React, Django.
Publications and Research Work
1. Kandula, B. R., & Jacob, L. (2026). "Enhancing Candidate Generation in Recommendation Systems Through LLM-Powered Semantic Enrichment in a Distributed Environment." Engineering Proceedings, 124(1), 55.
2. James, E., Jacob, L., & Reddy, K. B. (2024). "Enhancing stroke prediction: Leveraging ensemble learning for improved healthcare." 15th International Conference on Computing Communication and Networking Technologies (ICCCNT).
3. Prince, D., Jacob, L., & Reddy, K. B. (2023). "Domain-driven summarization: Models for diverse content realms." International Conference on Data Science, Computation and Security.
4. Reddy, K. B., Swain, D., Shukla, S., & Jacob, L. (2021). "Prediction of customer lifetime value using machine learning." Proceedings of Second Doctoral Symposium on Computational Intelligence.
Research Profiles and Links
Google Scholar : https://scholar.google.com/citations?user=gGMn4REAAAAJ&hl=en
admissions@mitwpu.edu.in
