# Sathwik Reddy Chandiri — Software Engineer

> Full CV / résumé of [Sathwik Reddy Chandiri](https://www.sathwikreddyc.com), in markdown for easy reading by humans and AI systems.
> Usage: `ai-input=yes`, `ai-train=no` — attribute the author when quoting.

- **Location:** Denver, Colorado, United States
- **Email:** <sathwikreddy00@gmail.com>
- **Website:** <https://www.sathwikreddyc.com>
- **LinkedIn:** <https://www.linkedin.com/in/sathwikreddyc/>
- **GitHub:** <https://github.com/sathwikreddy56>

## Summary

Backend-focused software engineer building Java Spring Boot microservices, scalable cloud systems, and high-performance scientific computing pipelines. Experience spans wildfire-research HPC at the USDA Forest Service, enterprise software at Ivanti, and applied research at DRDO — with active work in LLM pipelines, HPC scheduling, and CUDA-accelerated computing.

## Skills

- **Languages:** Python, Java, C/C++, CUDA C++, JavaScript, TypeScript, C#
- **Frontend:** React, React Native, Angular, Vue.js, Next.js, Tailwind CSS, Material UI
- **Backend:** Spring Boot, .NET, Django, Flask, Node.js, Express.js, Android
- **Cloud & Infra:** AWS, Azure, Google Cloud Platform, Docker, Kubernetes, Jenkins, Kafka
- **HPC & AI:** OpenHPC, SLURM, Warewulf, Singularity/Apptainer, LLM pipelines, distributed inference
- **Data:** PostgreSQL, MySQL, MongoDB, Redis

## Experience

### ORISE Research Fellow — United States Department of Agriculture, Forest Service

**June 2024 – Present** · [USDA Forest Service](https://www.fs.usda.gov/) · Missoula, Montana / Denver, Colorado

- Modernized an OpenHPC environment using SLURM, Warewulf, Singularity/Apptainer, Docker, Linux, and C++.
- Reduced 19,200 wildfire simulation workloads from 47 days to 48 hours — a 94% runtime reduction.
- Reduced C++ memory usage by 30% by resolving critical overflow and allocation defects.
- Migrated a .NET MAUI application to Android for more than 5,000 users.
- Supported fire-weather statistics used by more than 1,500 weekly users.

### Associate Software Engineer — Ivanti

**July 2022 – July 2023** · [Ivanti](https://www.ivanti.com/)

- Delivered more than 45 .NET 5 features and resolved more than 90 customer-reported issues.
- Reduced multi-tenant Azure database latency by 15%.
- Supported enterprise services handling more than 5,000 concurrent users at 99.9% uptime.
- Automated more than 30 operational IT workflows.

### Software Engineering Intern — Ivanti

**January 2022 – July 2022** · [Ivanti](https://www.ivanti.com/)

- Contributed to enterprise .NET software: debugging, testing, and customer-facing issue resolution.

### Research Development Intern — Defence Research and Development Organisation (DRDO / DRDL)

**January 2021 – January 2022** · [DRDO](https://www.drdo.gov.in/)

- Migrated FORTRAN simulation workloads to CUDA C++ and improved execution speed by 335%.
- Optimized multi-GPU Linux execution and built a PyQt5 interface for simulation workflows.

### Student Developer — Neil Gogte Institute of Technology (NGIT)

**May 2020 – January 2021** · [NGIT](https://www.ngit.ac.in/)

- Led end-to-end development of a college chatbot using DialogFlow and Vue.js, reducing in-person administrative visits by 60%, administrative workload by 30%, and improving answer accuracy by 40%.

## Education

- **M.S. in Computer Science** — University of Colorado Denver, August 2023 – May 2025
- **B.E. in Computer Science** — Neil Gogte Institute of Technology, June 2018 – June 2022

## Projects

- **[LLM Email Automation Pipeline](https://github.com/sathwikreddy56/Email_Pipeline)** — LLM-powered email processing pipeline for ingestion, classification, and decision support with modular AI workflows and validation.
- **[HPC Resource Scheduler Dashboard](https://github.com/sathwikreddy56/HPC_Resource_Scheduler_Dashboard)** — monitoring and management utilities for an HPC cluster using SLURM, OpenHPC, and Linux to improve workload visibility and resource scheduling.
- **Distributed LLM Inference Platform** — distributed inference platform for locally hosted LLMs across multiple GPU machines with Kubernetes, routing, and low-latency concurrent inference.
- **[WindNinja](https://github.com/firelab/windninja)** — contributions to the open-source wind modeling tool used in wildland fire behavior prediction.
- **CUDA-Optimized CFD Simulations** — optimized computational fluid dynamics simulations using CUDA parallel programming for high-performance workloads ([cuda-workshop](https://github.com/sathwikreddy56/cuda-workshop)).
- **[EAMCET College Filtering App](https://github.com/sathwikreddy56/College-Data-Filtering-Application)** — interactive college filtering application using Angular, TypeScript, Python, Flask, and MySQL for decision support.
- **Chatbot Admin Panel** — CRUD web application with a Vue.js frontend that allows stakeholders to update chatbot responses in real time.
- **Satellite Imagery ML for Environmental Monitoring** — Open Data Cube workflows for satellite imagery analysis and machine-learning-based environmental monitoring.
- **Biomedical Research — COVID & Cancer Detection** — machine learning models for biomedical use cases including COVID-19 detection and cancer classification.
- **IoT Smart Home & Drone Systems** — IoT solutions using ESP32 and ESP8266 microcontrollers for smart home automation and drone systems.
- **[Car Rental Booking Application](https://github.com/sathwikreddy56/NeoCars)** — car rental booking web application with a React frontend and Java (Spring Boot) backend, including role-based permissions and booking management.
- **Zesty** — native Android food delivery application focused on ordering and delivery workflows.

## Languages

- **English:** Professional