Reval LogoFind More Talent
AV

Aaditya Voruganti

Junior AI & Software Engineer specializing in robotics and ML infrastructure

Embedded Software Intern, AI Infrastructure2 years experienceJuniorTechnologyArtificial IntelligenceRobotics
ScreenedReferences VerifiedIdentity VerifiedStrongly Recommended

Connect with Aaditya

Aaditya already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Recommended

Already have an account?

About

Robotics engineer from UIUC’s Intelligent Motion Lab who led the perception stack for a humanoid robotic nurse, fusing camera/LiDAR/IMU on NVIDIA Jetson Orin for real-time localization and scene understanding across six robots. Deep expertise in ROS 2 and edge ML optimization (TensorRT, CUDA, zero-copy), delivering major latency/throughput gains (10 FPS to 22+ FPS) and building fault-tolerant pipelines with gRPC offloading and real-time reliability practices.

Experience

Lead ML Infrastructure and Fullstack Software EngineerTrvise
Robotics Research InternIntelligent Motion Lab UIUC
Embedded Software Intern, AI InfrastructureSamsara Inc
USA IoT Lab InternTCS
Senior Software Developer / Launch OperationsIllinois Space Society

Education

University of Illinois at Urbana-Champaignbachelor, Computer Science (2026)

Key Strengths

  • Led development of a multi-sensor perception stack for a humanoid robotic nurse (camera/LiDAR/IMU) across six robots
  • Solved multi-sensor time synchronization via custom ROS 2 time alignment with jitter buffering to stabilize SLAM
  • End-to-end edge inference optimization on Jetson Orin (TensorRT FP16, layer fusion, plugins, fused CUDA preprocessing)
  • Improved throughput from ~10 FPS to 22+ FPS and reduced frame latency ~40% with minimal accuracy loss
  • Designed low-latency ROS 2 architecture using shared memory, bounded queues, and backpressure to prevent frame drops
  • Implemented gRPC edge offloading with async streaming, FP16 tensor compression, and failover; reduced p95 latency ~250 ms to ~90 ms
  • Reduced per-frame latency ~25% and CPU load ~40% using ROS 2 composable nodes with intra-process zero-copy
  • Production-grade real-time reliability practices: instrumentation, health checks, deterministic scheduling, HIL testing, graceful degradation

Reference Highlights

Strongly Recommended
  • Incredibly skilled in complex robotics and real-time systems
  • Deep robotics expertise (taught the reference a lot about robotics)
  • Built and deployed an AI-driven product end-to-end (backend ownership)
  • Strong ownership in ambiguous requirements
  • Able to lead and assign tasks to other team members
  • Builds efficient and scalable systems; considers tradeoffs
  • Delivered 100% uptime while handling 100+ users
  • Strong cross-disciplinary breadth (robotics, ML/AI, hardware/embedded)
  • Leadership experience (lead at Illinois Space Society)
  • Contributed to rockets that broke new altitude records
  • Highly passionate/engaged with his work

Discover more candidates like Aaditya

Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.

Search Talent

Connect with Aaditya

Aaditya already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Recommended

Already have an account?

Contact

candidate@example.com(555) 123-4567LinkedIn Profile
Sign up to view

Languages

English

Skills

C++PythonGoCJavaScriptHaskellPyTorchTensorFlowCUDAGoogle Vertex AIOpenAILangChainJAXHugging FaceLarge Language Models (LLMs)