Ravi Kkumaar Sivasankar Venkata
Graduate Student in Computer Science
Research
Augmented Reality, Unity, Hand tracking, Artificial Intelligence Integration for AR Systems
Skills
Programming Languages:
C, C++, C#, Python, Java
AR/VR & Graphics Technologies:
Unity, Magic Leap SDK, Meta Quest, Insta360, ThingLink, Unity URP/HDRP, shaders, real-time rendering, OpenGL, TensorFlow, CNN models, OpenCV, MediaPipe, WebSocket servers, ONNX prototyping, MQTT
Cloud & Big Data Technologies:
Azure Data Factory, Synapse Analytics, Data Lake, Databricks, PySpark, SQL
Tools & Multimedia:
Visual Studio, VS Code, CorelDraw, Photoshop
Biography
Ravi Kkumaar Sivasankar Venkata is a graduate student pursuing a Master of Science in Computer Science at the University of Massachusetts Lowell. His research focuses on Augmented Reality (AR), hand-tracking systems, gesture-based interaction, and real-time graphics optimization using Unity and Magic Leap 2. Ravi explores the integration of human-centered computing, AI-driven guidance systems, and immersive rehabilitation applications.
His work spans advanced AR/VR development, 27-joint hand tracking, virtual object manipulation, and motion-based physiotherapy training using spatial computing technologies. He has experience designing rehabilitation workflows, adaptive feedback algorithms, and AI-powered “Virtual-hand” demonstrations for guiding user movement with precision.
Before starting graduate studies, Ravi worked as an Azure Data Engineer Trainee and Full Stack Developer, building scalable data pipelines, cloud-based analytics solutions, and interactive web applications. He also creates educational VR content using Insta360 cameras and ThingLink, producing immersive lab tours across multiple engineering disciplines at UMass Lowell
Education
M.S. Computer Science (Expected 2026), University of Massachusetts Lowell
B.Tech. Information Technology (Expected 2026), Saveetha Engineering College, Chennai, India
Experiences
AR Research Developer | University of Massachusetts Lowell May 2025 – Present
- Developing AR-based rehabilitation tools using Magic Leap 2 with Unity.
- Implementing 27-joint hand tracking, gesture analysis, and virtual ball manipulation.
- Designed arc-based wrist-control systems with real-time accuracy feedback and repetition tracking.
- Building AI-based virtual-hand guidance for physiotherapy training and pose correction.
- Optimizing rendering pipelines using URP/HDRP and shader-based improvements.
- Implementing projects related to magicleap2 with Artificial intelligence
VR Content Creator (Immersive Lab Tours) | University of Massachusetts Lowell Feb 2025 – Present
- Producing campus VR tours using Insta360 cameras and ThingLink.
- Integrating hotspots, audio, photos, and instructional overlays.
- Improving user experience through media optimization and interactive design.
Full Stack Developer Intern | Virtusan Jun 2023 – Oct 2023
- Developed an Educational Loan Portal using Java, HTML, CSS, and JavaScript.
- Improved code quality using AI-assisted debugging and refactoring.
Delivered a fully functional application
Azure Data Engineer Trainee | PVR Cloud Tech
Jan 2024 – May 2024
- Migrated enterprise data from on-prem SQL Server to Azure Synapse Analytics.
- Built ETL pipelines using Azure Data Factory, Data Lake, and Databricks.
- Automated data transformation processes and improved query performance.
Selected Publications
- S. V. Ravi Kkumaar, N. Velmurugan, N. Hemanth, and V. G. Theja, “Controlling devices from anywhere using IOT including voice commands,” vol. 681, Jaipur, India, 2023, pp. 163 – 173, http://dx.doi.org/10.1007/978-981-99-1909-315
Affiliated Organizations
- UMass Lowell Indian Student Association
- UMass Lowell Graduate Student Association
- Smart India Hackathon Team
Honors & Awards
- Provost’s Graduate Scholarship Fund, UMass Lowell
- Participant, ICE-TEAS Springer Conference, India
- Participant, Smart India Hackathon, India
- Member of YACD Social Club, India