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Krishna Kodur

Mid-level Robotics & AI Researcher specializing in human-robot interaction and reinforcement learning

Santa Clara, CACo-Op Intern8 years experienceMid-LevelRoboticsArtificial IntelligenceSemiconductors
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About

Robotics software engineer who built an end-to-end mobile manipulation platform (Franka Panda on a Clearpath Ridgeback) for a simulated-kitchen human-robot interaction study with natural speech commands, implemented in Python/ROS. Has hands-on experience integrating diverse sensors (RealSense, LiDAR, biosignals) with deep learning frameworks (PyTorch, Hugging Face) and fine-tuning GPT-Neo, plus simulation (Gazebo) and modern deployment practices (Docker/Kubernetes, CI/CD).

Experience

Research Assistant at HRI LabSanta Clara University
Co-Op InternAdvanced Micro Devices (AMD)
Teaching Assistant (TA) for algorithms and data structures courseUniversity of Texas, Arlington
Student Software DeveloperOffice of Information Technology at CU Boulder
Project AssistantIndian Institute of Science (IISc)
Graduate Engineer Trainee/RF Optimization EngineerVodafone-Idea Limited

Education

Santa Clara Universitydoctorate, Electrical and Computer Engineering (2026)
University of Colorado (CU), Bouldermaster, Computer Science (2020)
National Institute of Technology Silcharbachelor, Electronics and Communication Engineering (2016)

Key Strengths

  • End-to-end ownership of robotics systems (design, development, integration, execution)
  • Cross-platform robot integration (arm + mobile base working in unison)
  • Pragmatic real-time troubleshooting under pressure (kept data collection running via backup PC)
  • Resourceful HRI audio pipeline design (single-process mic recording + transcription via ROS topic)
  • Strong multi-sensor + ML/LLM integration in ROS/ROS2 (PyTorch, Hugging Face, GPT-Neo)

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Languages

English

Skills

Active ResearchApache KafkaApache PySparkArtificial SkinBackground SubtractionBERTCalibration AlgorithmsComputer VisionConvolutional Neural Networks (CNN)CC++Deep LearningDistilGPT-2DockerECG