Hi, I'm Shubham Pawar 👋

Software Engineer · Full Stack · Cloud · Distributed Systems

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Professional Summary

Software Engineer with over 5 years of experience designing, building, and deploying scalable, high-performance software systems. Strong expertise in full-stack development, cloud-native architectures, distributed systems, and ETL pipelines. Proven track record of improving system reliability, performance, and operational efficiency through clean architecture, automation, and data-driven solutions.

Professional Experience

Software Developer — Radyne Corporation

Sept 2023 – Present | Milwaukee, WI

  • Designed and implemented Java-based ETL pipelines integrating ERP systems with SuiteCRM, reducing data synchronization latency by 35%.
  • Automated high-volume nightly data ingestion workflows using cron-driven Java jobs, achieving 99.9% reliability.
  • Delivered 20+ executive-level analytical reports enabling data-driven decision-making and improving operational efficiency by 15%.
  • Developed Python-based demand forecasting models improving inventory planning accuracy by 28%.
  • Integrated Grafana dashboards for real-time monitoring and strategic analytics.

Software Developer — University of Wisconsin

Feb 2022 – Apr 2023 | Milwaukee, WI

  • Built a cloud-hosted web application for real-time research competition scoring using Django, React, and AWS.
  • Reduced result compilation time by 98% and eliminated manual scoring errors through automated evaluation pipelines.
  • Implemented JWT-based authentication and containerized deployments using Docker, achieving 99.9% uptime.

Software Engineer — Larsen & Toubro Infotech Ltd

Oct 2018 – May 2021 | Mumbai, India

  • Enhanced enterprise analytics software by enabling export of complex visualizations, improving client productivity by 30%.
  • Implemented secure JWT-based licensing validation, achieving 100% prevention of unauthorized deployments.
  • Refactored Java Spring MVC codebase, improving application performance by 20% and reducing code complexity.

Technical Skills

Tech Stack

Java
Python
JavaScript
React
Spring
Django
Flask
PHP
MySQL
PostgreSQL
AWS
Docker
Kubernetes
Jenkins
Git
GitHub

Key Projects

UWMSRPC — Student Research Poster Competition System

Designed and developed a cloud-hosted web application to manage scoring and evaluation for the University of Wisconsin–Milwaukee Student Research Poster Competition. Replaced manual workflows with a secure, scalable digital platform.

  • Reduced result compilation time by 98% by automating scoring and aggregation
  • Processed 200+ evaluations across multiple rounds in under 5 minutes
  • Improved operational efficiency by 90% with a streamlined UI
  • Achieved 99.9% uptime using Docker-based deployments

Technologies: Django, React, AWS, Docker, JWT, Tailwind CSS

Automated MS CS Program of Study (POS) Verification System

Built an online system to automate the verification and validation of the graduate Program of Study forms, replacing manual review processes and improving data accuracy.

  • Achieved 95% reduction in form errors and omissions
  • Reduced form processing time by 75% across multiple academic tracks
  • Implemented support for Professional, Thesis, and Non-Thesis tracks
  • Ensured 100% validation accuracy through comprehensive testing

Technologies: Python, Web Forms, Validation Logic

UNI-VISE — University Recommendation System

Developed a machine learning–based recommendation platform to help prospective students Identify suitable U.S. computer science programs based on academic profiles and preferences.

  • Trained a K-Nearest Neighbors (KNN) model for CS universities across the U.S.
  • Guided 1,000+ students in identifying relevant universities
  • Achieved high accuracy in matching candidates to preferred programs
  • Deployed on AWS EC2 and RDS with public hosting

Technologies: Python, Flask, AWS EC2, AWS RDS, Machine Learning

FoodMine

Built a dynamic Angular 21 web application that enhances the food browsing and ordering experience with search and cart management features.

  • Enabled users to explore a wide variety of food items
  • Implemented search and shopping cart functionality for easy ordering

Technologies: Angular 21, TypeScript, HTML, CSS

Text-to-Image Synthesis Using GANs

Conducted research on text-to-image synthesis using Generative Adversarial Networks, focusing on feature engineering and model optimization.

  • Improved model training and validation efficiency by 20%
  • Performed feature engineering on large text datasets
  • Published research paper in IJRASET (Volume 6, Issue IV)

Technologies: TensorFlow, PyTorch, NumPy, Pandas, GANs

URL Shortener Web Application

Built a lightweight URL shortening service demonstrating backend fundamentals, database design, and RESTful application development.

  • Implemented persistent storage using SQLite
  • Designed URL mapping and redirection logic

Technologies: Python, Flask, SQLite

Education

Master of Science in Computer Science
University of Wisconsin, Milwaukee

Bachelor of Engineering in Information Technology
University of Mumbai