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Chandra Prakash Singh

AI Researcher

Bengaluru, Karnataka, India6 yrs 7 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in LLMs and MLOps for automotive innovation.
  • Led development of advanced driver authentication systems.
  • Proven track record in system engineering for autonomous systems.
Stackforce AI infers this person is a skilled AI Engineer specializing in automotive technologies and machine learning applications.

Contact

LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningMlopsDevopsSystem EngineeringComputer VisionWeb DevelopmentTeam Leadership

Other Skills

LLMsDockerMLflowMatlab/SimulinkFacial RecognitionDjango REST FrameworkPythonDjangoAngular JSGenerative Adversarial Networks (GANs)KubeflowREST APIsGoogle Cloud Platform (GCP)NoSQLComputer Science

About

As a Senior AI Engineer at JLR, I focus on leveraging expertise in LLMs, MLOps, and computer vision to contribute to advancements in automotive technologies. My work emphasizes practical applications of AI to enhance vehicle functionalities and user experience, while supporting innovation within the organization. With a B.Tech in Electrical Engineering from IIT (BHU) and a background in system engineering processes and autonomous systems, I aim to drive impactful solutions in the automotive sector. I am motivated by opportunities to develop cutting-edge technologies that shape the future of mobility.

Experience

6 yrs 7 mos
Total Experience
3 yrs 3 mos
Average Tenure
5 yrs 9 mos
Current Experience

Jlr

3 roles

Senior AI Engineer

Promoted

Jun 2024 – Present · 2 yrs

  • LLMs
LLMsArtificial Intelligence (AI)Machine Learning

AI Engineer

Oct 2022 – Jun 2024 · 1 yr 8 mos

  • MLOps
MLOpsDockerMLflowDevOps

Graduate Software Engineer

Sep 2020 – Oct 2022 · 2 yrs 1 mo

  • Introduced and developed system engineering processes using MBSE and created executable models with scenarios and behaviors on the level 2+ autonomous system using Matlab/Simulink, designed system for Autonomous Emergency Braking using system diagrams, Magic Systems.
  • Built a Driver Authentication System using facial recognition to achieve personalized
  • vehicle preferences (e.g., seat adjustment, lighting, media etc) in hope of improving vehicle experience.
  • Checked and validated the capabilities of Android based Infotainment system.
Machine LearningDevOpsSystem Engineering

Hewlett packard enterprise

Summer Intern

May 2019 – Jul 2019 · 2 mos · Bangalore

  • Worked in HPE InfoSight which is predictive analytics system. Classified, The task performed on the appliance using Support Dump, Application Data Collection, SAR data.
  • Deployed HPE OneView appliance to manage IT hardware in a converged infrastructure environment on
  • HPE Synergy frame and collected all the above mentioned Data samples.

Technex, iit (bhu) varanasi

Technical Team Head

Jul 2018 – May 2019 · 10 mos

  • Led the team of 8 people and developed a web application for the Annual Techno-Management Fest of IIT-BHU(used by more than 15k online/offline participants), solved various tech related issues throughout the year.
  • Completed back-end modules, primarily in Python (Django), and front-end in Angular JS (Dashboard),
  • and deployed the application on Heroku.
Django REST FrameworkTeam LeadershipWeb Development

Education

Indian Institute of Technology (Banaras Hindu University), Varanasi

Bachelor of Technology — Electrical Engineering

Jan 2016 – Jan 2020

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