DOTSC
Student Bio

Hema joined the DOTSC IT team in May 2025 as a Ph.D. student in Computer Science with a research focus on Machine Learning. Before this, he worked at CCAST, where he supported research computing and developed skills in high-performance computing environments. He is deeply interested in real-world data analysis applications and is actively developing his skills through hands-on projects. His current work includes deploying traffic recognition systems using Raspberry Pi, analyzing vehicle detection and speed, and contributing to automation workflows for transportation data. Hema is also a strong programmer, with growing expertise in Java, SQL, and Python, and actively contributes to both backend development and field deployments within the DOTSC team.

Current Projects

• Traffic Recognition
• GRIT

Past Projects

• Covid-19 CT Scan Classification using Deep Learning
• AI Vision – Assistive Smart Stick for the Visually Impaired
• AI Trip Planner – Web app for AI-based itinerary generation using React, Firebase and OpenAI.

Other Related Experience

• NLP Engineer Intern at Solomon’s International – Built BERT-based models for semantic search, spam detection, and sentiment analysis
• Supported HPC cluster deployment and monitoring at CCAST using Slurm, Docker, and InfiniBand
• Developed full-stack applications using the MERN stack and REST APIs

Focus or Interests

• Machine Learning
• Artificial Intelligence
• Data Science
• Deep Learning

Hobbies and Activities

• I like to travel a lot.
• Tech Enthusiast

Awards and Scholarships

• Runner-Up – Anveshana 2023 (Assistive Mobility Solution)

Organizations

• ACM
• SoftCon – Technical Club, JNTU Kakinada (Coordinator)