Mohan Kopuru

Tempe,AZ

Summary

Accomplished Software Engineer with a strong foundation in software development technologies and processes. Proven track record of delivering high-quality applications and consistently surpassing organizational objectives.

Overview

years of professional experience

Work History

Software Development Engineer

Intel Corporation

03.2021 - Current

Works with the Intel Assembly Test Technology Development (ATTD) team to create internal software solutions, supporting chipsets production across 14 Intel manufacturing sites.
4+ years of software engineering expertise in the development of products through the software lifecycle, from requirements definition through successful deployment
Designed and implemented 70+ essential features, reducing production simulation time from 28 hours to 2.5 hours, saving 12,000 manual hours each year
Built a web application with ETL-based automation to populate over 250 data fields, streamlining the product setup process from 36 hours to 2.5 hours and saving more than 5,000 manual hours annually.
Led the effort to write over 200+ unit test cases, achieving 94% code coverage, ensuring robust and reliable code quality, with nightly test runs.
Successfully led the migration of the codebase from TFS to GitHub within 3 weeks, streamlining version control, collaboration, and development.
Created a reusable GitHub CI/CD pipeline streamlining deployments across 14 Intel sites and adopted by 15+ applications, reducing downtime from 55 minutes to 9 minutes per site and saving 8000 manual hours annually.
Managed a team of 15 to build a GenAI chatbot using Mistral LLM, trained on internal documentation, to help users with queries and decision-making.
Coordinated 40+ design sync meetings, uniting cross-functional teams to align designs and development efforts, ensuring smooth and consistent progress.
Recipient of 4 Department Recognition Awards spanning 2021 to 2024, for consistent excellence.

Full Stack Software Developer Intern

FedEx Services

08.2020 - 11.2020

Collaborated within high-performing team, designing, developing, and maintaining organizational web applications with focus on performance and user engagement
Built web application allowing FedEx Business users to make country specific data configuration changes without assistance from IT or RAD in 3 weeks
Maximized associate efficiency, increasing support time by 55% and reducing manual work by 70% by implementing new application to alleviate interdepartmental dependencies

Graduate Research Assistant

The Institute for Systems Engineering Research

01.2019 - 05.2020

Collected and analyzed data, conducted extensive research, completed training and testing of Machine Learning module in Python and presented findings to team
Developed a predictive analytics tool to predict the occurrence of vehicle system failures in US Army Ground Terrain Vehicles
Oversaw and performed data cleaning, feature engineering, training and testing on ˜2M time series sensor data records, using state-of-the-art Convolutional Neural Networks, achieving 94% accuracy of in prediction of vehicle trouble codes

Education

Master of Science - Computer Science and Engineering

Mississippi State University

Starkville, MS

05-2020

Skills

Python
C#
NET Framework
WPF
Java
HTML
CSS
JavaScript
Angular
React
FastApi
Terraform
Docker
Kubernetes
Spring Boot
MySQL
Oracle DB

NodeJs
PostgreSQL
Pandas
TensorFlow
PyTorch
Keras
Git
GitHub
JIRA
Data structures & Algorithms
Machine Learning
Agile
CI/CD
REST API implementation
Agile methodologies
RESTful services
Object-oriented programming

Qualifications Summary

Functional knowledge of numerous programming languages and Web/Windows-based development technologies.
Project experience in Web/Windows application development, Machine Learning and Generative AI.
Proven success developing software solutions that meet acceptance criteria and scope for entire software development cycle.
Skilled at gathering technical specifications, analyzing project requirements and development, testing and delivery.
Quick learner practiced in cross-functional collaboration and understanding new processes.
Career history of outstanding team leadership and project coordination.

Experience Highlights

3+ years of software engineering expertise in the development of products through the software lifecycle, from requirements definition through successful deployment.
Designed and implemented 40+ essential features, reducing production simulation time from 28 hours to 2.5 hours, saving 12,000 manual hours each year,
Built a web application with ETL-based automation to populate over 250 data fields, streamlining the product setup process from 36 hours to 2.5 hours and saving more than 5,000 manual hours annually.
Led the effort to write over 200+ unit test cases, achieving 94% code coverage, ensuring robust and reliable code quality, with nightly test runs.
Successfully led the migration of the codebase from TFS to GitHub within 3 weeks, streamlining version control, collaboration, and development.
Created a reusable GitHub CI/CD pipeline streamlining deployments across 14 Intel sites and adopted by 15+ applications, reducing downtime from 55 minutes to 9 minutes per site and saving 8000 manual hours annually.
Managed a team of 15 to build a GenAI chatbot using Mistral LLM, trained on internal documentation, to help users with queries and decision-making.
Coordinated 40+ design sync meetings, uniting cross-functional teams to align designs and development efforts, ensuring smooth and consistent progress.
Recipient of 4 Department Recognition Awards spanning 2021 to 2024, for consistent excellence.

Leadership Experience

General Secretary, Indian Student Association at Mississippi State University, 08/2019, 05/2020

Timeline