Kaustubh Ijardar

Professor Kaustubh Ijardar holds a Master’s degree in Computer Science from BITS Pilani, Hyderabad Campus, and brings strong industry and academic experience across software engineering and applied research domains.

He has worked as a Software Engineer at Toqqer Systems, where he contributed to backend system design, scalable RESTful API development, and performance optimization using Spring Boot, MySQL, caching, and search indexing technologies.

He also has a research publication in mobile edge computing focusing on predictive offloading schemes for vehicular networks, leveraging MEC, V2V communication, and DSRC-based infrastructure.

Professor Kaustubh has industry experience as a Software Engineer at Toqqer Systems, where he worked on scalable backend systems, authentication workflows, payment integrations, and high-performance REST APIs.

He also worked as a Data Engineer Intern at iLink Digital, where he developed a Databricks-based solution using Medallion architecture, optimized data pipelines with PySpark and Delta Lake, and built Power BI dashboards for analytical reporting.

M.Tech / Master’s in Computer Science, BITS Pilani, Hyderabad Campus.

Neural Networks, Deep Learning, Generative AI, Scalable Distributed Systems, Mobile Edge Computing, Applied Machine Learning.

Professor Kaustubh believes in combining strong theoretical foundations with hands-on practical learning.

He emphasizes real-world problem solving, coding-based understanding, and conceptual clarity to ensure effective learning outcomes.

He fosters curiosity, critical thinking, and an engaging classroom environment where students learn to apply concepts efficiently and independently.

Deep Learning, Discrete Mathematics, Data Mining Fundamentals, Data Structures and Algorithms, Technical Training for Coding Interviews.

Qualified national-level competitive examinations including BITS HD and JEE with approximately 90 percentile performance, demonstrating strong academic and technical proficiency.

Professor Kaustubh is actively engaged in research and exploration of emerging technologies such as Generative AI, Artificial General Intelligence, Blockchain systems, and Quantum Computing.

His work focuses on bridging the gap between industry-scale systems and academic research, with an emphasis on scalable, practical solutions.

He continuously explores advancements in computing to align with evolving technological paradigms and innovation trends.