Harshit Chopra

Harshit Chopra Email and Phone Number

Principal Engineer - AI @ Exotel
Bengaluru, KA, IN
Harshit Chopra's Location
Bengaluru, Karnataka, India, India
Harshit Chopra's Contact Details

Harshit Chopra personal email

About Harshit Chopra

Machine Learning engineer and team lead with 5+ years of experience in building end-to-end AI solutions across various domains including Autonomous driving, predictive forecasting, Conversation AI, MLOPs and object detection. Adept at designing and implementing robust data pipelines, training cutting-edge models, and deploying scalable inference services.Strengths: Python, C++, Java, Machine Learning, Deep Learning, Keras, Tensorflow, Scikit-learn

Harshit Chopra's Current Company Details
Exotel

Exotel

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Principal Engineer - AI
Bengaluru, KA, IN
Website:
exotel.in
Employees:
650
Harshit Chopra Work Experience Details
  • Exotel
    Principal Engineer - Ai
    Exotel
    Bengaluru, Ka, In
  • Self-Employed
    Machine Learning Consultant
    Self-Employed May 2024 - Present
    Currently working on the following projects:- Virtual Try-on using Stable diffusion- Student mentor bot using RAG-based LLMs
  • Skit.Ai
    Lead - Machine Learning Engineer
    Skit.Ai Nov 2022 - Apr 2024
    Bengaluru, Karnataka, India
    Led the MLOps team to improve the prototype to production life-cycle of various projects. This involved building the ecosystem for training, testing and deploying fine-tuned LLMs, developing Kubeflow pipelines to improve annotation traceability and maturing the evaluation platform. I was responsible for sourcing and prioritising delivery team feature requests for the ML team.
  • Instana
    Data Scientist
    Instana Oct 2020 - Sep 2022
    Munich, Bavaria, Germany
  • Bmw Group
    Master Thesis
    Bmw Group Jan 2020 - Aug 2020
    Munich, Bavaria
    Topic: Identify vehicles in driver's gaze focus region using deep learning and data fusionThe key task of the thesis was to determine the probability of a surrounding object being in the driver's gaze focus for accessing driver alertness. Developed an end-to-end data processing pipeline to generate label for supervised learning and validate the ground truth using a head-mounted inside-out eye tracker. Performed head pose estimation, vehicle detection in images, coordinate transformations… Show more Topic: Identify vehicles in driver's gaze focus region using deep learning and data fusionThe key task of the thesis was to determine the probability of a surrounding object being in the driver's gaze focus for accessing driver alertness. Developed an end-to-end data processing pipeline to generate label for supervised learning and validate the ground truth using a head-mounted inside-out eye tracker. Performed head pose estimation, vehicle detection in images, coordinate transformations, 3D projections and quantifying the accumulated error. Furthermore, developed and tuned a deep learning model for multilabel classification on temporal data using GRUs. Applicability of transformers for this task was assessed. Show less
  • Instana
    Data Scientist Werkstudent
    Instana Aug 2018 - Aug 2019
    Munich Area, Germany
    Instana provides application monitoring tools for microservice and distributed application.My work involved the development of a model for root cause analysis of the occurrence of errors in distributed microservice systems. The model uses random forests and dimensionality reduction techniques to identify technologies/tags that lead to such occurrences. Secondly, I Implemented an anomaly detection system for incoming traces based on the reconstruction error in an autoencoder. It also uses… Show more Instana provides application monitoring tools for microservice and distributed application.My work involved the development of a model for root cause analysis of the occurrence of errors in distributed microservice systems. The model uses random forests and dimensionality reduction techniques to identify technologies/tags that lead to such occurrences. Secondly, I Implemented an anomaly detection system for incoming traces based on the reconstruction error in an autoencoder. It also uses recurrent neural layers to learn the sequence of service invocation. Show less
  • Ziffi.Com
    Software Developer
    Ziffi.Com Jun 2016 - Jul 2017
    Mumbai Area, India
    Ziffi is a Mumbai based startup that aims to bridge the gap between consumers and service providers in the healthcare and beautification industry. As a developer, I have worked on the reviews module, revamped the login workflow and set-up file system handling on the Amazon Web Services S3 storage. I also worked on creating campaigns to target users based on their past booking history.
  • Space Applications Centre, Isro
    Undergraduate Research Fellow
    Space Applications Centre, Isro Aug 2015 - Apr 2016
    Roorkee
    Inflatable Kapton Membranes are to be used in space structures and their antennas to reduces weight and volume during launch. Involved in the development of python and MATLAB module to stabilize such structures and study the effect of PVDF/PZTs and boundary forces on them.
  • Img (Information Management Group)
    Chief Management Lead
    Img (Information Management Group) Jan 2013 - Apr 2016
    Roorkee
    IMG is responsible for the development and maintenance of Institute Website and various other software solutions for the Institute Intranet such as Placement Portal, Lectures and tutorials, Registration Online, E-Notice Board and many more.
  • Bentley Systems
    Summer Intern
    Bentley Systems May 2015 - Jul 2015
    Pune Area, India
    Bentley systems is involved in the development of software solutions to design, engineer, build, and operate large constructed assets such as roadways, railways, bridges, buildings, industrial and power plants and utility networks. It has a global presence with operation centers in more than 45 countries.
  • Team Knox
    Marketing And Finance
    Team Knox Sep 2012 - Apr 2014
    Roorkee
    Team KNOx is a group of enthusiast, knowledgeable and hardworking engineering students of IIT Roorkee which represent its institution at Baja SAE INDIA.Baja SAE INDIA is a national level competition held every year in Indore in which teams from various engineering colleges from India participates with their All Terrain Vehicle(ATV) which was designed & fabricated from the scratch by the team itself.

Harshit Chopra Skills

Programming C++ English Matlab Javascript Microsoft Office Python Django French C Solidworks Editing Engineering Turbo C++ Data Analysis

Harshit Chopra Education Details

Frequently Asked Questions about Harshit Chopra

What company does Harshit Chopra work for?

Harshit Chopra works for Exotel

What is Harshit Chopra's role at the current company?

Harshit Chopra's current role is Principal Engineer - AI.

What is Harshit Chopra's email address?

Harshit Chopra's email address is ha****@****ail.com

What schools did Harshit Chopra attend?

Harshit Chopra attended Technical University Munich, Indian Institute Of Technology, Roorkee, Maharaja Agrasen Vidyalaya.

What skills is Harshit Chopra known for?

Harshit Chopra has skills like Programming, C++, English, Matlab, Javascript, Microsoft Office, Python, Django, French, C, Solidworks, Editing.

Who are Harshit Chopra's colleagues?

Harshit Chopra's colleagues are Priyanka Das, Praveen B, Satsen Singh, Manish Gaur, Karnaprakash Vedagiri, Shweta Jha, Chinthala Konda Reddy.

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