Hey 👋 I'm Garv Goyal
I'm a software developer and a computer science senior at the University of Minnesota.
My projects
Ghostcache
Made with:
Ghostcache is a distributed caching system built in Golang with features like consistent hashing, TTL-based eviction, adaptive TTL extension, and metrics exposure. It includes a central coordinator for routing, cache nodes with dynamic registration, and a robust Prometheus + Grafana setup for real-time monitoring.
Scalable ML Workflows
Made with:
Projects that demonstrate applications of machine learning using libraries like Pandas, PySpark, Scikit-learn, PyTorch, and TensorFlow. Tasks cover data preprocessing, feature engineering, model building, training, evaluation, neural networks, and dimensionality reduction.
ByteWise Calendar
Made with:
ByteWise Calendar helps users manage their food inventory with features like food tracking, recipe suggestions, expiry reminders, and waste statistics. The app encourages resource efficiency and minimizes food waste through a user-friendly calendar interface.
KafkaLink
Made with:
KafkaLink is an Kafka wire protocol exploration in C++. This project explores how Kafka brokers handle port binding, correlation IDs, API version checks, and more. It provides a hands-on approach to understanding the core functionalities of Kafka brokers and their communication with clients.
My Skills
- TypeScript
- Python
- C++
- React
- Node.js
- OCaml
- Go
- Swift
- Java
- C
- MongoDB
- MySQL
- PostgreSQL
- PyTorch
- TensorFlow
- Django
- Git
- AWS
- Docker
- Linux
- threejs
My experience
Software Engineer Intern - AI Systems Integration
OpenQQuantify
Streamlined LLM performance by slashing inference-to-schematic latency from 8 to 4.5 seconds for complex engineering queries. Engineered a Python/FastAPI microservice deployment that cut the memory footprint by 22% through AI payload optimization, ensuring high user load capacity. Also developed a Python/Godot/Omniverse framework for the Synthetic Data Engine, generating over 15,000 validated sensor data points for industrial ML model training.
Jun 2025 - August 2025Software Engineer Intern
Quadrafort Technologies
Built and maintained on full-stack web applications using React.js, Node.js, and MongoDB, improving performance by 15% and user engagement by 20%. Deployed applications on AWS, and implemented CI/CD pipelines to reduce deployment time by 40%.
May 2024 - August 2024Artificial Intelligence Intern
GreyB Services
Developed and deployed machine learning models with TensorFlow, PyTorch, and Scikit‑learn to analyze RFID datasets, enabling precise competition benchmarking and strategic geographic expansion. Leveraged Apache Spark for multi‑source data integration and created Tableau dashboards to facilitate decisions aligned with business objectives.
July 2023 - August 2023Software Developer Intern
Curtin University
Contributed to web application development using Django for back‑end services and JavaScript for front‑end interfaces, enhancing features, optimizing database queries, and ensuring responsive design. Collaborated with senior faculty to troubleshoot complex technical issues, conduct code reviews, and drive iterative improvements.
June 2022 - July 2022Product Engineering Intern
NetSet Software Solutions
Designed and developed an audiobook web platform with user authentication, audio chapter navigation, and real-time listening progress tracking using Node.js backend and AWS Lambda.
Nov 2021 - Dec 2021My Education
Bachelor of Science in Computer Science
University of Minnesota, Twin Cities
Sep 2022 - May 2026
GPA 3.75/4
- Major in Computer Science
- Science & Engineering Dean's List - 2023 to 2025
Contact me
Please contact me directly at [email protected] or through this form.