Experience

Samsung R&D Institute India - Bangalore (July 2022 - Aug 2024)

Platform and Software Research Team, 6G Lab, Samsung Research
Engineer (July 2022 - March 2024)
Senior Engineer (March 2024 - Aug 2024)
[Experience Certificate]

• Under the guidance and mentorship of:
  • Anshuman Nigam (Head of Part / Director, 6G Lab, SRI-Bangalore)
  • Mahantesh Kothiwale (Principal Architect, 6G Lab, SRI-Bangalore)
  • Nayan Ostwal (Architect, 6G Lab, SRI-Bangalore)
• The role includes a particular focus on research, and developing proofs-of-concept and test beds for future technologies
• Involved in the realization of an end-to-end testbed that successfully achieved 100 Gbps throughput in the data plane
• Performed extensive research on SIMD and Vector Processing
• Composed several vectorization-enabled Algorithms for different Architectures like Intel, ARM, AMD, resulting in improvments of up to 20%
• Performed comprehensive research on Compilers and Compiler optimizations
• Specifically researched LLVM and developed custom LLVM passes for numerous optimizations, achieving gains of 10%
• The role includes a particular onus to create technical IPs, Patents, and Research papers
• Involved in three Patents with the Provisional Specifications and Complete Specifications filed, and several technical papers and blogs
• The proprietary nature of our work prohibited publications in public forums
• Mentored a Spring Intern and two Summer Interns
• Interviewed multiple candidates for the Summer Internship roles

Samsung R&D Institute India - Bangalore (Jan 2022 - July 2022)

Research Intern at AI Vision Solutions, Vision Research, CTO Team, Samsung Research
[Experience Certificate]

• Under the guidance and mentorship of:
  • Alok Shukla (Head of Part / Director, AI Vision Solutions, SRI-Bangalore)
  • Pankaj Kumar Bajpai (Architect, AI Vision Solutions, SRI-Bangalore)
  • Kunal Swami (Chief Engineer, AI Vision Solutions, SRI-Bangalore)
• Implemented a project aimed at building a Photorealistic Data Engine for the purpose of Depth Estimation
• The important learnings and takeaways from the project were as follows:
  • Learnings related to Graphic Engines, specifically Unreal Engine and various concepts of Computer Graphics as follows:
    • Rendering and its different types - Deferred Rendering and Forward Rendering
    • Different Rendering techniques like Rasterization and Ray Tracing
    • 3D Assets and Polygon Meshes
  • Learnings related to different file types like OpenEXR, PFM and point clouds
  • Learnings related to various Camera properties like Field of View, Depth of Field, Exposure, Focal Length, Distortion, etc

PES University - Bangalore (Jan 2022 - May 2022)

Teaching Assistant for the course - "Design and Analysis of Algorithms" at PES University
[Teaching Assistantship Certificate]

• Under the guidance and mentorship of:
  • Prof. NS Kumar (Retired Visiting Professor, PES University)
  • Prof. Channa Bankapur (Professor, PES University)
• Engaged in interactive knowledge transfer and doubt clarification sessions with students on various topics related to Data Structures and Algorithms
• Curated comprehensive Assignments and Projects for the different topics in the Course
• Developed a system to automatically evaluate, perform plagiarism analysis, and grade the Assignments and Projects based on the established parameters
• The important learnings and takeaways from the Teaching Assistant role were as follows:
  • Learning to engage with the students and convey concepts in an interesting and easily understandable manner
  • Developing challenging Assignments and Projects to pique the interests of the students
  • Procuring a different perspective to the Course and concepts that resulted from teaching
  • Learning to effectively manage a large batch of students (of over 1000 students from different campuses and streams)

Samsung R&D Institute India - Bangalore (May 2021 - July 2021)

Research Intern at IoT App, IoT Platform and Connectivity Team, Samsung Research
[Experience Certificate]

• Under the guidance and mentorship of:
  • MSSK Sharma (Head Of Part / Director, IoT APP, SRI-Bangalore)
  • Neeraj Pandey (Senior Chief Engineer, IoT APP, SRI-Bangalore)
• Implemented a project aimed at improving the user experience via the Smart Things IoT Ecosystem
• It involved the formulation and development of an alternate and effective solution to solve a particular use case with respect to the Smart Things Application
• The important learnings and takeaways from the Internship were as follows:
  • Learnings regarding various aspects of Android App Development including but not limited to Background Services, Broadcast Receiver, Overlay and different UI elements
  • Learnings related to the Smart Things Platform and the domain of IoT
  • Learnings related to the Smart Things Development Suite including the Smart Things API and the Smart Things SmartApp SDK for Java

Center for Data Science and Applied Machine Learning, PES University - Bangalore (June 2019 - July 2019)

Research Intern at the Centre for Data Science and Applied Machine Learning, PES University
[Experience Certificate]

• Implemented a project aimed at simulating the events occurring after the end of a given video
• Project implemented under the guidance and mentorship of Dr. Shylaja and Prof. Ramadevi
• Implemented the following different stages in sequence:
  1. Detecting and perceiving the relative depth of objects from a single camera using relative monocular depth perception
  2. Identifying and recognizing the objects in the video using YOLO Object Detection model
  3. Tracking the selected objects using a Multi Object Tracker and OpenCV
  4. Using the assimilated information to accurately estimate the three-dimensional kinematic parameters of the objects
  5. Simulating the events occurring after the end of the video in Unreal Engine by spawning the selected objects with the calculated parameters
• Can be used to develop the decision making abilities of self-driving vehicles and to generate diverse and quality data to train learning models