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Aayush Shrivastava

@aayushshrivastava

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Passionate Software Development Engineer with hands-on technology experience.

India

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What I'm looking for

I am looking for opportunities that foster innovation and allow me to grow my skills in software development and machine learning.

I am a dedicated Software Development Engineer with over a year of hands-on experience in various technologies. My journey has been marked by significant contributions to projects at CNH Industrial and Schneider Electric, where I honed my skills in frontend development and middleware services. I thrive on challenges and enjoy transforming complex requirements into innovative solutions.

At CNH Industrial, I played a pivotal role in the design and development of the Precision Guidance Application, transitioning from an Android-based application to a more robust Qt-based solution. My contributions to the Bahamut Project at Schneider Electric further solidified my expertise in modernizing legacy systems. I am passionate about leveraging technology to create impactful solutions that enhance user experiences.

Experience

Work history, roles, and key accomplishments

Current

AI & Middleware Engineer

Current

ACOM Asian Resources Pte. Ltd.

Jul 2025 - Present (1 year)

Deliver security-integration and visitor-management software for enterprise clients around Genetec Security Center and Honeywell WIN-PAK access-control platforms. Build web services and automation tooling to sync and manage visitor/gate data using C++ (P/Invoke), C#/.NET, Python, and Angular.

C++C# .NET Python Angular P Invoke Honeywell WIN PAK Integrations REST APIs WebSockets Automation

Current

Software Engineer

Current

CNH Industrial

Mar 2023 - Present (3 years 4 months)

Responsible for the design and development of the frontend for the Precision Guidance Application on HMI for tractors. Transitioned an existing Android application to a Qt-based application and developed middleware services for data communication.

Middleware Frontend Development Android C++Python JSON SQL

HMI Precision Software Engineer

CNH Industrial

Mar 2023 - Apr 2025 (2 years 1 month)

Developed and migrated a Precision Guidance application for tractor HMIs, including C++/Qt-based platform changes and real-time middleware services. Built cross-platform CI/CD pipelines and OS targets using GitLab CI/CD, Conan, and Yocto, and contributed Qt/C++ features to CNHOS while mentoring interns.

C++Middleware Gitlab CI Conan Windows Ubuntu Linux Yocto QEMU Android Cross Platform Development

Software Design Engineer

Schneider Electric

Oct 2021 - Mar 2023 (1 year 5 months)

Contributed to the Bahamut Project for converting legacy HMI software to modern HMI software. Developed a web application for creating HMI projects and ideated on HMI innovations related to edge computing.

Web Development C++Edge Computing Python Angular Machine Learning Deep Learning Git C# .NET React WPF Virtualization

Intern Engineer

Schneider Electric

Dec 2021 - Jan 2022 (1 month)

Developed a Circular Chart Application for HMI using Angular 6 and Electron.JS. Participated in hackathons and won awards for innovative projects.

Teamwork Angular Electron Web Development Software Development Problem Solving WebSockets C#Django HMI Development Tools Cross Platform Development

Robotic Process Automation Developer

Tyson Foods

Mar 2021 - Aug 2021 (5 months)

Automated finance management processes using Blue Prism and contributed to the development of an open-source RPA framework using Python. Involved in training for chatbot applications using Amazon Lex and Google Dialogflow.

Robotic Process Automation Python Chatbot Development Java Automation Framework SQL Problem Solving Git Blue Prism Amazon Lex Dialogflow Chatbot Automation

Apprentice Trainee

Persistent Systems

Nov 2018 - Oct 2020 (1 year 11 months)

Developed deep learning models for image classification and emotion detection. Worked on projects related to fraud detection using advanced neural networks.

Deep Learning Convolutional Neural Networks Python Emotion Detection Machine Learning Data Analysis Problem Solving

Apprentice Trainee — Machine Learning

Persistent Systems

Jun 2018 - Nov 2018 (5 months)

Trained convolutional neural network models for car-damage classification in a car-damage and insurance-claim project. Built spatio-temporal CNN models for face-emotion detection and lip-sync fraud detection, using Librosa for audio feature extraction.

Convolutional Neural Networks Deep Learning Spatio Temporal Convolutional Neural Networks Lip Sync Fraud Detection Librosa Audio Classification

Education

Degrees, certifications, and relevant coursework

Gyan Ganga Institute of Technology and Sciences

Bachelor of Engineering, Information Technology

2016 - 2020

Grade: 8.45

Activities and societies: Participated in Smart India Hackathon and won a Gold Medal in Movie Making Competition.

Pursued a Bachelor of Engineering in Information Technology, focusing on various aspects of technology and software development. Achieved a GPA of 8.45 and participated in multiple hackathons and technical festivals.