Summary
Software Engineer with 5+ years of professional and research experience
building user-centric, end-to-end applications from conception to production deployment. Winner of
20x hackathons and commended by the Prime Minister of India, Narendra Modi.
Earned a Masters in Computer Science with a 4.0 GPA from the
University of Illinois, fully funded via research scholarships.
Professional Experience
Software Engineer
May 2023 – Present
Magic Leap – Google Partnership
- Shipped a productionized XR pipeline for the Google Capture App, integrating with
Google backend services to facilitate 3D Gaussian Splats and NeRFs.
Launched at 500+ locations around SF and NYC.
- Built a Gemini-powered calibration tool for 3D content on Google Maps, accelerating QA validation
by 10x. Number of scenes calibrated per day increased from ~5
to 50+ per user.
- Led end-to-end Out of Box Experience for the Magic Leap 2, collaborating cross-functionally with UX, Product and Software teams.
XR Researcher | MS Computer Science
Aug 2022 – Dec 2023
University of Illinois, Urbana-Champaign
- Optimized upstream video pipelines using Gaze-tracked Foveation, reducing bandwidth by 70% and enabling improved ML inferencing quality on edge and constrained networks.
- Designed a real-time rendering pipeline for ILLIXR for 3D mesh reconstruction, streaming vertex-colored meshes over websockets via protobuf and optimizing serialization and transfer overheads.
- Developed network-synchronized XR experiences for the HXRI Lab to study how immersive environments support cognitive and behavioral health outcomes in senior populations.
Software Engineer
Oct 2021 – May 2022
Shell India Markets Pvt. Ltd., Bangalore
- Built automated data consolidation pipelines for monthly financial reporting, reducing manual processing time by over 90% - from 4 hours down to 10 minutes.
- Developed report generation tools and dashboards, streamlining financial workflows.
- Designed discrepancy detection systems to improve reporting accuracy and data integrity.
Education
Master of Computer Science
2022 – 2023
University of Illinois, Urbana-Champaign — GPA: 4.0
B.Tech, Computer Science and Engineering
2017 – 2021
Vellore Institute of Technology, Chennai — Major GPA: 3.7
Technical Skills
Domains: XR, Full-Stack, Agentic & Voice AI, Computer Vision, Cross Platform App Dev
Languages: Typescript (JS), Python, C#, Java, C++, Swift
Full-Stack: React (Native), FastAPI, Firebase, Express, Electron, MERN Stack
XR: Unity, Unreal Engine, ARCore, ARKit
Artificial Intelligence: LangChain, Scikit-learn, OpenCV, NumPy, Pandas, PyTorch, TensorFlow
DevOps: Docker, Google Cloud Platform (GCP), GitHub Actions
Achievements
20x Hackathon Winner
Consistent top finishes in several national and international hackathons.
AI Leadership
2025
Agentic AI Summit - University of California, Berkeley
Speaker at Agentic AI Summit, UC Berkeley after winning LLM Agents hackathon among 1100+ universities and 800+ companies worldwide(Link)
Commended by Prime Minister of India, Narendra Modi
2021
Toycathon 2021 — Ministry of Education, India
Recognized and commended for innovative projects leveraging VR + AI(Link)
NVIDIA Research Grant
2020
COVID AR Hackathon — NVIDIA, Indian Ministry of Commerce and Trade
Research & Projects
Smooth Operator — Multi-Agent Conversational AI
2025
Winner of UC Berkeley LLM Agents Hackathon
Orchestrated a multi-agent system via LangChain and GPT Realtime (via Twilio) that automates conversations with moving companies and negotiates the best quotes, saving users $500–$2,000 per move and reclaiming 3–5 hours of manual effort(Link)
Accelerated Facial Recognition Pipeline
2023
Improved facial encoding search speed by 15x, integrating classical computer-vision filtering via KD-Trees as a preprocessing step to deep convolutional neural networks, reducing compute and improving end-to-end processing by 250%.
Real-Time ADAS for Level-2 Autonomy
2021
Designed and implemented lane-keep assist, pre-collision warning and avoidance, adaptive
cruise control and other advanced driver-assistance features, enabling vehicle
autonomy with cameras + ML fusion(Link)
Application of Neuroevolution in Autonomous Cars
2020
IVCCPS’20, LNEE Springer
Published research on applying evolutionary algorithms to optimize neural networks for self-driving applications in simulated environments (Paper)