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MIT SHAH

Lead and drive the MLOps initiatives and bring sophisticated machine learning models from development to production. I have graduated from IIT Kanpur [B.Tech & M.Tech]. I am a keen problem solver. I am very calm in whatever situation it might be

  • Role

    Team Leader & Senior ML Ops Engineer

  • Years of Experience

    12.75 years

  • Professional Portfolio

    View here

Skillsets

  • OpenCV
  • Superwise
  • Python
  • Whylogs
  • Wandb
  • TensorFlow
  • Pytesseract
  • Plotly
  • Ms-office
  • Labelimg
  • Jupyter Notebook
  • Dash
  • Python
  • Azure
  • pandas
  • Keras
  • Streamlit
  • NumPy
  • PyTorch
  • Jira
  • Miro
  • VBA
  • MATLAB
  • C

Professional Summary

12.75Years
  • Aug, 2024 - Present1 yr 9 months

    Engineering Manager-AI Operations

  • Jul, 2023 - Jul, 20241 yr

    Team Lead Machine Learning Operations

    Eaton

  • Team Leader & Senior ML Ops Engineer

    Eaton India Innovation Center
  • Jul, 2016 - Jul, 2016

    Summer Intern

  • Aug, 2017 - May, 20213 yr 9 months

    Engineer

    Eaton
  • May, 2021 - Jul, 20232 yr 2 months

    Senior Engineer

    Eaton
  • May, 2016 - Jul, 2016 2 months

    Summer Research Intern

    The University of Tokyo, Tokyo (Japan)
  • May, 2015 - Jul, 2015 2 months

    Summer Research Intern

    Cyient

Applications & Tools Known

  • icon-tool

    Azure

  • icon-tool

    MS-Office

  • icon-tool

    Keras

  • icon-tool

    Tensorflow

  • icon-tool

    OpenCV

  • icon-tool

    Jupyter Notebook

  • icon-tool

    Plotly

  • icon-tool

    Dash

  • icon-tool

    Streamlit

  • icon-tool

    Miro

  • icon-tool

    Pandas

Work History

12.75Years

Engineering Manager-AI Operations

Aug, 2024 - Present1 yr 9 months

Team Lead Machine Learning Operations

Eaton
Jul, 2023 - Jul, 20241 yr

Team Leader & Senior ML Ops Engineer

Eaton India Innovation Center
    Leading a team of 5 engineers to develop BAS Platform on Azure with end to end MLOps Features for Eaton Digital Offerings. Developed a generic wrapper over weights & biases and logging as a initiative to standardize logging across different developments. Implemented features for Experimental Tracking, Model, Feature Storage & their versioning. Defined the software release strategy. Looking into Model Monitoring in Production. Evaluated Why Logs, Evidently AI etc. and mapped drift algorithms to datasets. Developed templates for standardizing and promoting containerized development of models for reducing time to production. Defined the ML Ops maturity levels for the team. Interacted with Cross functional teams for the adoption of the these libraries.

Senior Engineer

Eaton
May, 2021 - Jul, 20232 yr 2 months

Engineer

Eaton
Aug, 2017 - May, 20213 yr 9 months
    Part of Design team for Eaton Aerospace Products. Automated Design and Drawing creation for various Aerospace Products. Introduced Parametric Models & drawings to reduce the TAT significantly for the product Design. Supported Sustaining Engg. Used Agile & PROLaunch principles, Designed, tested & Increased the product capability to venture the Large diameter seal business.

Summer Intern

Jul, 2016 - Jul, 2016

Summer Research Intern

The University of Tokyo, Tokyo (Japan)
May, 2016 - Jul, 2016 2 months

Summer Research Intern

Cyient
May, 2015 - Jul, 2015 2 months
    The internship aimed at developing a tool for Iso-Geometric Analysis to be used as a substitute for meshing process in FEM. Developed a tool to device a technique to integrate Finite Element Analysis with Basis spline based Computer Aided Design. Applied Iso-Geometric analysis(IGA) to develop a MATLAB tool for stress analysis of Uniaxial Loading of 2-D & 3-D models.

Achievements

  • Developed BAS Platform on Azure with end to end MLOps Features
  • Created automated data pipelines for Aerospace Predictive Maintenance
  • Led AI project for Drawing and Process sheet digitization
  • Led AI project to automate invoicing process for Eaton Finance Team
  • Nominated for global Aerospace sector CI competition
  • Project lead for Seal Guru
  • Automated Design and Drawing creation for various Aerospace Products
  • Implemented features for Experimental Tracking, Model, Feature Storage & their versioning. Defined the software release strategy Looking into Model Monitoring in Production.
  • Got the solution architecture approved from IT for Cloud deployment using Azure Kubernetes cluster and SQL Server
  • Developed Time series based forecasting algorithms using FLAML for inventory, warranty claims and returns prediction Drawing and Process Sheet Digitization using Computer Vision and NLP
  • Nominated for global Aerospace sector CI competition Aug 19-Jun 21 Project lead [Backend] for an AI project

Major Projects

8Projects

Brightlayer Analytics Services [BAS] ML Ops Platform

Jun, 2022 - Present3 yr 11 months
    Leading a team of 5 engineers to develop BAS Platform on Azure with end to end MLOps Features for Eaton Digital Offerings. Developed a generic wrapper over weights & biases and logging as a initiative to standardize logging across different developments. Implemented features for Experimental Tracking, Model, Feature Storage & their versioning. Defined the software release strategy. Looking into Model Monitoring in Production. Evaluated Why Logs, Evidently AI etc. and mapped drift algorithms to datasets. Developed templates for standardizing and promoting containerized development of models for reducing time to production. Defined the ML Ops maturity levels for the team. Interacted with Cross functional teams for the adoption of the these libraries.

Aerospace Predictive Maintenance (AeroPdM)

Jan, 2021 - Mar, 20232 yr 2 months
    ML Engineer leading Predictive Maintenance project aimed to improve internal productivity of Eaton’s Aerospace MRO Sites. Created automated data pipelines to get SQL table for features. Created scripts to automate pdf data conversion to SQL tables. Created branching strategy for the project. Created CI/CD pipeline for containerized deployment using Docker. Got the solution architecture approved from IT for Cloud deployment using Azure Kubernetes cluster and SQL Server. Developed Time series based forecasting algorithms using FLAML for inventory, warranty claims and returns prediction.

Brightlayer Analytics Services [BAS] Data Ops

Jan, 2022 - Jun, 2022 5 months
    Evaluated the requirements, defined different metrics for Data Quality and Data Readiness and evaluated multiple tools for it. Finalized Great Expectations module for Data Quality. Identified multiple adopters for Data Quality on the BAS Platform. Used One flow branching strategy and created pipeline for Data Quality with configs in Cosmos DB and DAGs with Airflow.

Finance invoicing CI

Jun, 2021 - Nov, 2021 5 months
    Led an AI project to automate the complex invoicing process which will help the team save 70% of time every month. Helped the finance team to establish a SQL database. This will help for a faster query of the data compared to excel.

Drawing and Process Sheet Digitization using Computer Vision and NLP

Jul, 2020 - Aug, 20211 yr 1 month
    Project lead for an AI/Cost out project on Drawing and Process sheet digitization using Optical Character Recognition. Estimated NRE cost out saving of 300 dollars per legacy drawing/500 dollars per process sheet once the tool is deployed. Used concept of transfer learning and deployed using streamlit by training YOLO algorithm for text localization. Used pytesseract library for text detection. Also trained a NLP model (CRNN) to detect the texts from the localization.

Seal Guru

Aug, 2019 - Jun, 20211 yr 10 months
    Project lead [Backend] for an AI project Seal guru for segmented seal design which will help in estimated $140k saving annually. Implemented end to end seal design automation with preliminary drawings to reduce the TAT from 1 month to 2 Days. Implemented Variation analysis module from scratch to get min-max variation of all the CTQ specs to get failure probability.

Product Design and Automation

Aug, 2017 - Jun, 20213 yr 10 months
    Part of Design team for Eaton Aerospace Products. Automated Design and Drawing creation for various Aerospace Products. Introduced Parametric Models & drawings to reduce the TAT significantly for the product Design. Supported Sustaining Engg. Used Agile & PROLaunch principles, Designed, tested & Increased the product capability to venture the Large diameter seal business.

Research Intern, Boeing Technical Externship Program

May, 2015 - Jul, 2015 2 months
    The internship aimed at developing a tool for Iso-Geometric Analysis to be used as a substitute for meshing process in FEM. Developed a tool to device a technique to integrate Finite Element Analysis with Basis spline based Computer Aided Design. Applied Iso-Geometric analysis(IGA) to develop a MATLAB tool for stress analysis of Uniaxial Loading of 2-D & 3-D models.

Education

  • Dual Degree (B.Tech. - M.Tech), Aerospace Engineering

    IIT Kanpur (2017)

Certifications

  • Az-104 [in progress]

  • Mlops coursera