Gautam Khandige

Software Engineer @ voiceERP

About

Software Engineer specializing in ML, backend systems, and full-stack development. Experienced in Python, Java, TypeScript, SQL, React, Flask, and distributed systems Worked on real-world computer vision at Interactive Commons (45s → 15s latency reduction), ML pipelines at RoviSys (XGBoost on 100K+ rows), and API + caching performance systems at Miami Valley SBDC (+35% speed, CI/CD automation, Docker deployment). Seeking new-grad SWE / ML / full-stack roles where I can build production systems, optimize performance, and tackle complex engineering problems end-to-end.

Country

City

United States

Industry

Computer Software

Skill

Sentry, Jira, Scikit-Learn, Microsoft Azure, Azure Functions, Data Pipelines, Amazon Web Services (AWS), Redis, GitHub, Segment Anything, Modular Architecture, Hardware Integration, Agile Methodologies, Statistics, Selenium, Facial Recognition, Large Language Models (LLM), MongoDB, OpenCV, Computer Vision

Experience

Software Engineer

voiceERP

2026-1 - Present · 9 mos

Westlake, Ohio, United States

AI Software Engineer Intern

Miami Valley SBDC

2025-10 - 2025-12 · 3 mos

Dayton, Ohio, United States

Built backend systems for tariff lookup, classification, and cost analysis. Achievements Implemented async I/O + Redis caching → 35% faster aggregation across external APIs. Added validation + structured error handling → 20% fewer failed requests. Containerized services with Docker and automated deployments using GitHub Actions → sub-30s deploys.

Fellow

CodePath

2025-9 - 2025-12 · 4 mos

Completed rigorous algorithmic training including trees, graphs, DP, heaps, and system implementation patterns. Built weekly coding assignments in Python/Java with performance benchmarks.

Software Engineer

Interactive Commons

2024-5 - 2025-5 · 1 yr 1 mo

Cleveland, Ohio, United States

Worked on computer vision tools, HoloLens XR demos, and interactive lighting systems used across campus and in live educational environments. Achievements Integrated Meta Segment Anything (SAM) with OpenCV to enhance real-time segmentation and object alignment in HoloLens demos, reducing processing latency from 45s → 15s. Refactored legacy LED-wall logic into modular, reusable components, reducing operator-reported reliability issues by ~30%. Built a React operations dashboard for daily LED-wall control, improving workflow consistency and lowering manual overhead for staff.

Software Engineer Intern

RoviSys

2023-5 - 2023-7 · 3 mos

Aurora, Ohio, United States

Supported refinery automation workflows through predictive modeling, data pipelines, and simulation tooling. Achievements Built ML models using scikit-learn and XGBoost on 100K+ refinery data rows, improving anomaly-detection insights and reducing manual review burden for engineers. Developed a Flask + React simulation tool for tank-flow scenarios and improved load time by 40% through optimized database queries. Automated ingestion workflows using Azure Functions, improving data refresh reliability across the entire pipeline.

Software Engineer Intern

Probitous Solutions

2021-5 - 2021-8 · 4 mos

Bangalore, India

- Engineered a real-time tennis ball tracking system using Scikit-Learn and OpenCV, integrating advanced image segmentation and optimized data pipelines to cut processing latency by 25% and boost frame analysis speed by 30%. - Developed ML models trained on 10,000+ videos to analyze ball attributes (shape, size), increasing line call accuracy by 15% and reducing false positives by 20%, enhancing real-time match officiating reliability.

Education

Case Western Reserve University

Computer Science and Data Science

2021-8 - 2025-12 · 4 yrs 5 mos

Relevant Coursework: Data Structures & Algorithms Machine Learning High Performance Computing Full-Stack Web Development Database Systems Software Engineering