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Akhil Bharadwaj Mateti
Mid-level Software Engineer specializing in Data Science and Machine Learning
Arlington, VirginiaData Analytics and Machine Learning Fellow Trainee4 years experienceMid-LevelTechnologyAutomotiveArtificial Intelligence
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About
Robotics/AV perception engineer who built a semantic-segmentation road detection system and integrated it into a ROS-based real-time pipeline (ROS bag camera feed to live monitor) achieving ~12 FPS. Strong in practical deployment work: solved multi-library versioning issues (ROS/OpenCV/TensorFlow), containerized the stack with Docker, and optimized inference by shifting runtime to C++ for large latency gains on NVIDIA hardware.
Experience
Data Analytics and Machine Learning Fellow TraineeElevateMe
Research AssistantThe George Washington University
Data Science ResearcherGWU DSSD
Project EngineerWipro Limited
InternGnani.ai
Education
The George Washington Universitymaster, Data Science (2024)
Vellore Institute of Technologybachelor, Computer Science (2019)
Key Strengths
- Built autonomous-vehicle road-region detection using semantic segmentation with real-time inference (~12 FPS)
- Resolved complex ROS/OpenCV/TensorFlow version and compatibility issues to deploy on NVIDIA hardware
- Used Docker containers to lock dependencies and improve reproducibility/stability across environments
- End-to-end pipeline validation across training and testing prior to production deployment
- Performance optimization by moving inference from Python (~5–6s/frame) to C++ (~0.5–0.6s/frame)
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