Summary
Overview
Work History
Education
Skills
Extra CURRICULAR
Interests
Timeline
Generic
ASHWANI KUMAR SINHA

ASHWANI KUMAR SINHA

AI-Analyst@Alstom/ Image Analytics/ Aerial Robotics
Bengaluru

Summary

AI and Robotics Analyst with 3+ years of experience at Alstom, focusing on computer vision and robotics solutions for the rail and mobility sector. Skilled in machine learning, deep learning, and cross-functional collaboration, with a passion for leveraging technology to deliver innovative, sustainable mobility solutions.

Overview

3
3
years of professional experience

Work History

AI Analyst

Alstom
01.2022 - Current
  • Depth Analysis and Thickness Measurement using 2D-Camera for Brakepad using Image Segmentation and Profiling.
  • Developed an automated pipeline for BrakePad detection and profiling using a hybrid approach combining deep learning (UNet with VGG-16) and traditional image processing.
  • Implemented image segmentation to isolate BrakePad regions from RGB input images.
  • Designed algorithms for Contour Detection, Contour Outlining, and Orientation Correction to standardize BrakePad alignment.
  • Engineered a profiling method to calculate BrakePad thickness using pixel-based distance measurements and trigonometric transformations.
  • Converted linear pixel distances to angular measurements for precise profiling.
  • Integrated reference object mapping to convert pixel dimensions to real-world units (mm).
  • Delivered a robust end-to-end solution for BrakePad analysis in rail component inspection systems.
  • Tech Used: Python, OpenCV, CNN (VGG-16), UNet, Image Segmentation, Contour Detection.
  • Achievements: Won Bronze Medal Award


  • Tire Defect Detection -
  • Led the development of an automated tire defect detection system using Raspberry Pi-based multi-camera setup and machine learning models.
  • Designed and implemented image acquisition pipeline including segmentation, perspective transformation, and 360 image stitching.
  • Developed ML models for tire defect classification (VGG-16) and object detection (YOLOv8), achieving 99.21% training accuracy and 98.66% validation accuracy.
  • Built a frugal lab setup using acrylic boards and configured 16 Raspberry Pi cameras for real-time data capture and streaming.
  • Created a local dashboard for defect visualization and integrated cloud-based storage for centralized data access.
  • Collaborated with cross-functional teams across Chile and Bangalore for hardware setup, data collection, and system integration.
  • Tech Used: Python, OpenCV, TensorFlow, YOLOv8, Raspberry Pi, Arducam, ZMQ, LabelImg, GUI Development.
  • Achievements: Got Regional Best Project Award in Alstom - Chile(South America Region).


  • Audio Analytics -
  • Developed and deployed a real-time audio analytics model for ALSTOM Metro car environments, enabling classification of operational and ambient sounds using edge AI.
  • Integrated the solution with NVIDIA Jetson AGX Xavier for on-device inference, optimized for low-latency performance and robustness in noisy conditions.
  • Collaborated on system architecture involving microphone arrays, network switches, and TCMS integration, and designed a local test bench for internal validation and simulation.

Research Fellow

NGN Lab
12.2020 - 09.2021
  • Worked in NGN Lab in Anna University, MIT Campus under the supervision of Dr. R. Gunasekaran.
  • Worked under networking domain in UAV sector working under Gazebo and Robotic Operating System.


  • Aerial Surveying of Drone over Construction Site by Integration of Algorithms in Gazebo using ROS and Ardupilot.
  • The UAV is simulated and implemented through the integration of, Image Recognition with YOLO and Obstacle Detection and Avoidance with LiDAR, as well as employing YOLO to recognize objects from pre-trained image datasets for effective monitoring.

Mentorship

Brightnet
  • I mentored a group of 20+ students of my town, for the domain of Web Design & Development. Under this, I covered the basics of HTML, CSS and JAVASCRIPT.

Teaching

Self
  • Successfully made my students learn all the basics, of C/C++, and they got pumped up after they start solving the online questions.

Education

Master of Engineering - CSE

Madras Institute of Technology, Anna University
Chennai
07-2022

B.TECH - CSE

SRM Institute of Science And Technology
Chennai
08-2020

CBSE - 12th - PCM

Gurukul Vidhyapeeth
Hajipur
07-2016

CBSE - 10th -

B.D.Public School
Hajipur
05-2014

Skills

Python

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Extra CURRICULAR

Research Paper Published http://sersc.org/journals/index.php/IJAST/article/view/11287 (http://sersc.org/journals/index.php/IJAST/article/view/11287) Member at CSE - Association (CSEA), SRM IST, KTR. Member of 'Humanitarian Services',SRM IST, KTR.

Interests

Debugging, Teaching, Reading, Cricket

Timeline

AI Analyst

Alstom
01.2022 - Current

Research Fellow

NGN Lab
12.2020 - 09.2021

Mentorship

Brightnet

Teaching

Self

Master of Engineering - CSE

Madras Institute of Technology, Anna University

B.TECH - CSE

SRM Institute of Science And Technology

CBSE - 12th - PCM

Gurukul Vidhyapeeth

CBSE - 10th -

B.D.Public School

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ASHWANI KUMAR SINHAAI-Analyst@Alstom/ Image Analytics/ Aerial Robotics