Profile

Aditya Shah

investment associate

Aditya Shah is an Associate at WestBridge Capital, where he is responsible for supporting the firm's investments and portfolio companies. He has a strong background in software engineering and computer science, having previously worked as a Software Development Engineer and Software Develo

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3

Years of Experience

Education

cornell university, cornell university, dhiru bhai ambani institute, dhiru bhai ambani institute, bombay scottish school

Companies

westbridge capital, amazon, cornell university college of engineering, amazon, kpmg, runner, cornell university, cornell university college of engineering, cornell university, aurionpro, cornell university college of engineering, franklin templeton, cornell university

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Email

Email (Verified)

adiXXXXXXXXXXXXXXXom

Email

Mobile Number

+16XXXXXXX11

Experience

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    2023 - Present

    westbridge capital

    Associate

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    2021 - 2022

    amazon

    Software Development Engineer

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    2020 - 2020

    cornell university college of engineering

    Research Assistant

    • Working on Serverless Cloud Computing in drone swarms using Apache OpenWhisk (IBM Cloud Functions) under professor Christina Delimitrou. • Utilized OpenCV to create an object detection Action using a Docker Container. • Compared the latency and CPU Consumption to server-based computing.

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    2020 - 2020

    amazon

    Software Development Engineering Intern

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    2019 - 2019

    kpmg

    Technology Summer Analyst

    • Worked on the Intelligent Automation team on a Warehouse Management tool. • Integrated with the Google Maps API and implemented database queries, script tasks and dynamic interfaces using a proprietary Reactive language. • Queried the Information Schema of the MySQL database to find and debug tables with erroneous conversion of ‘Null’ fields from ternary to binary logic.

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    2019 - 2019

    runner

    Backend Developer

    • Developed the backend for Runner, an app that connects users to get errands done for pay – enabling an instant source of money to students. • Added functionality by using SQLAlchemy ORM in the Flask framework • Containerized the application using Docker and deployed to Google Cloud.

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    2019 - 2019

    cornell university

    Computer Vision Developer

    • Developed a Computer Vision model using OpenCV & Scikit Image in Python to classify the damage on the leading edge of wind turbine blades. • Improved accuracy of model to 60% using Canny Edge Detection, K-means clustering, thresholding & masking.

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    2018 - 2019

    cornell university college of engineering

    Research Assistant

    • Wrote a Discrete Event Simulation in Python to study the Last to Enter Service (LES) model for a queue based service system with Prof. Jamol Pender. • Co-authored a paper submitted to the Winter Simulation Conference, 2019.

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    2018 - 2019

    cornell university

    Teaching Assistant - Object Oriented Programming and Data Structures in Java

    • Lead weekly recitations to supplement lectures to a class of 30+ students. • Grade assignments and exams, and hold weekly office hours to answer students’ queries.

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    2018 - 2018

    aurionpro

    Software Engineering Intern

    • Improved security for sensitive data by using AES 256-bit encryption in Java. • Analysed a telecom company’s data on customers’ usage patterns in SQL to increase Revenue Per User by providing data-driven service recommendations. • Observed the integration of data from various sources using Talend Open Studio for ETL.

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    2017 - 2018

    cornell university college of engineering

    Course Assistant - Multivariable Calculus

    • Lead weekly sessions on creative problem solving of real life applications of multivariable calculus.

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    2017 - 2017

    franklin templeton

    Data Science Intern

    • Used Unsupervised Machine Learning techniques such as K-means clustering to identify distribution of demand for funds. • Provided insights on the elasticity of demand of mutual funds with respect to their historical and recent performance using Linear Regression.

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    2017 - 2017

    cornell university

    Undergraduate Teaching Assistant - Physics 1112

    • Selected to be a part of an instructional team to partner with instructors to plan weekly activities, answer students' doubts, and enhance students’ learning process.

Experience

35 Skills

apache

autocad

c

c++

cad

Cloud Computing

commissioning

computer aided design

Docker

electric power

electrical engineering

engineering

labview

mac os x

maple

matlab

mep

microsoft office

microstation

Object detection

OpenCV

power distribution

power systems

programming

project management

pspice

Research

Research Scientist

simulations

Software Engineer

systems engineering

testing

visio

visual basic

windows

Education

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    2020 - 2020

    cornell university

    Master's degree

    Computer Science

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    2016 - 2020

    cornell university

    Bachelor of Science in Computer Science

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    2014 - 2016

    dhiru bhai ambani institute

    IB Diploma

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    2011 - 2014

    dhiru bhai ambani institute

    ICSE

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    2002 - 2011

    bombay scottish school

    ICSE