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Akhil Bharadwaj Mateti - Data Analytics and Machine Learning Fellow Trainee in Arlington, Virginia

Akhil Bharadwaj Mateti

Mid-level Software Engineer specializing in Data Science and Machine Learning

ElevateMeGeorge Washington UniversityArlington, Virginia4 Years ExperienceMid Level

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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.

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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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Experience

Data Analytics and Machine Learning Fellow TraineeElevateMe · Nov 2024 – Oct 2025
Research AssistantThe George Washington University · Aug 2024 – Jun 2025
Data Science ResearcherGWU DSSD · Jan 2024 – Apr 2024
Project EngineerWipro Limited · Jun 2019 – Jul 2022
InternGnani.ai · May 2018 – Jun 2018internship

Education

George Washington Universitymaster, Data Science (2024)
Vellore Institute of Technologybachelor, Computer Science (2019)

Awards

  • Excellence awards for Q3 FY2021 - Wipro Limited (SDV team)

Skills

PythonRSQLCC++HTMLCSSJavaScriptscikit-learnKerasNumPyPandasTensorFlowPyTorchFlask

Languages

English

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AI & Machine LearningAI & Machine Learning in DMVPythonRSQLC

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Akhil Bharadwaj MatetiMid-level Software Engineer specializing in Data Science and Machine Learning