Akash Murali

Akash Murali

Intern

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location of Akash MuraliBoston, Massachusetts, United States

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  • Timeline

  • About me

    BCI software intern @ Axoft | Graduate Student @ NEU Boston | ML Engineer | AI Architect - Turning Data into Vision.

  • Education

    • REVA University

      2015 - 2019
      B.TECH Electrical, Electronics and Communications Engineering 8.43(CGPA)

      Courses undertaken:1. Digital Signal Processing2. Analog Electronic Circuits3. Digital Electronic Circuits4. Signals & Systems5. Cryptography6. Engineering Mathematics I, II, III, IV

    • St. Joseph's High School

      2006 - 2012
      10th Standard Schooling 83%

      Activities and Societies: Hockey player

    • Northeastern University

      2023 - 2025
      Master's degree Data Science

      Courses undertaken:Fall 2023:1. Supervised Machine Learning Theory2. Intro to Data Management & ProcessingSpring 2024:1. Unsupervised Machine Learning2. Theory of AlgorithmsFall 2024:1. Computer Vision and Pattern Recognition2. Large Scale Parallel Data ProcessingSpring 2025:1. Information Retrieval2. Data Science Capstone Project

    • MES PU College of Arts, Commerce and Science

      2013 - 2015
      12th Standard PCME 86%
  • Experience

    • Airports Authority of India

      Mar 2019 - Apr 2019
      Intern
    • Tata Elxsi

      Nov 2019 - Jul 2023
      Machine Learning Engineer

      • Collaborated on the implementation of a AI-based railway inspection using CNNs. This system accurately identifies defects, such as cracks and other loose components with over 90% accuracy, boosting safety and maintenance efficiency.• Designed an AI solution to measure the distance between adjacent railway tracks at regular intervals, alerting authorities when distances exceeded thresholds & reducing track maintenance costs. • Engineered an AI algorithm that reflects the latest industry trends by analyzing real-time seat vacancy status in metro rails with 90% accuracy, resulting in a 15% reduction in passenger wait times by efficiently guiding passengers to available seating.• Facilitated knowledge transfer by training & mentoring a team of ten new engineers on the intricacies of neural networks, resulting in a 30% increase in their understanding & implementation of back-propagation algorithms.• Optimized the AI system for concealed weapon detection in transit environments, emphasizing performance tuning to reduce false positives by 80% and improve detection rates by 15%. Show less

    • Axoft

      Feb 2025 - now
      Software Engineering intern

      - working with cutting edge ultra-soft probe to decode neural activity.

  • Licenses & Certifications