Software Engineer | Raleigh, NC

Building high-throughput systems and product experiences that scale.

Graduate Student Developer at NCSU

M.S. Computer Science candidate at North Carolina State University with hands-on experience across distributed APIs, messaging systems, and full-stack product delivery.

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Tech Stack Focus

Go, TypeScript, Java, Python, React, Node.js, Ruby on Rails, PostgreSQL, AWS, Kubernetes

About

Engineer with product mindset and systems depth

Profile

I design backend systems and APIs for reliability, performance, and developer velocity. My work spans high-scale messaging at Kaleyra, real-estate platform engineering at Tailon Labs, and OSS platform improvements at NCSU Expertiza.

I focus on measurable outcomes: better delivery rates, lower latency, stronger reliability, and maintainable codebases.

Education

North Carolina State University
M.S. Computer Science, Aug 2024 - May 2026, GPA: 4.00/4.00
R. N. S. Institute of Technology, India
B.E. Computer Science, Jul 2018 - Aug 2022, GPA: 9.02/10.00

Publication

Prerak Bhandari, Dr. E. F. Gehringer, "LLM Conversation Transcripts in Software Engineering: Redefining Homework in the Age of Generative AI."

2026 ASEE Annual Conference and Exhibition, Charlotte, NC.

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APIs migrated from PHP to Go

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Requests per second achieved

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Messaging reliability in failover workflows

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End users reached through enterprise messaging

Experience

Recent roles and outcomes

Graduate Student Developer

North Carolina State University | Raleigh, NC

January 2026 - Present

Designing and engineering backend features for Expertiza OSS in Ruby on Rails and TypeScript for scalable peer review and rubric-based grading workflows.
Reduced 30% code duplication by refactoring legacy grading models into a reusable hierarchy.
Built submission response APIs that improved peer review workflow reliability and backend testability.

Software Engineer Intern

Tailon Labs | Remote, USA

May 2025 - August 2025

Built a full-stack Real Estate Management platform using React.js, Node.js, TypeScript, and PostgreSQL.
Improved realtor operational efficiency by 35% through scalable listing and workflow management.
Increased API throughput 3x by optimizing RESTful backend services with asynchronous I/O, connection pooling, and Redis-based caching.
Reduced p95 latency from 280 ms to 85 ms under production load.

Software Engineer

Kaleyra | Bengaluru, India

July 2022 - July 2024

Owned the SMS service and improved message delivery rates by 20% by refactoring Sender ID, template, and content APIs and optimizing distributed pipelines handling millions of messages daily.
Eliminated billing errors by integrating Meta WhatsApp Tech Provider and Account Sharing features and automating per-customer billing with Meta Graph API analytics pipelines.
Impacted 5M+ end users by architecting an in-house URL Shortener with custom domain routing and channel-specific analytics, while leading a 3-engineer team end-to-end.
Migrated 150+ APIs from PHP to Go using gRPC, cutting latency by 97.5% and scaling throughput from 4,000 to 15,000 requests per second.

Software Engineer Intern

Kaleyra | Bengaluru, India

April 2022 - July 2022

Architected a multi-channel failover framework across SMS, WhatsApp, RCS, Voice, and Email using Amazon SQS-driven routing.
Scaled message reliability to 99.9% and reduced delivery failures by 40% with dynamic channel-fallback logic.
Built the MS Excel Kaleyra Add-in, improving customer workflow efficiency by 25% and contributing to an 18% revenue increase.

Projects

Production-oriented, AI-focused, and data-driven builds

Great Clips Coupon Finder

Live scraping, text parsing, and searchable local coupon discovery

Live App Source Code

Built a zero-dependency Python web app that live-scrapes public Great Clips coupon sources, follows final offer links, and makes deals searchable by city, state, or address fragment.

Parallelized multi-hop scraping with ThreadPoolExecutor, 15-minute in-memory caching, and graceful handling of flaky upstream pages.
Parsed semi-structured offer terms into searchable location metadata and exposed both a polished HTML UI and a JSON API.
Deployed on Render with a standard-library-only stack, avoiding Flask, React, databases, and third-party scraping frameworks.

Pythonhttp.serverurllibConcurrencyWeb ScrapingRender

Sword URL Shortener

Live App

Built a production-grade URL Shortener with Java (Spring Boot), PostgreSQL, and React.js, designed for 99.9% uptime and sustained traffic above 1000 RPS.

JWT-based authentication and role-aware access control.
Real-time analytics and RabbitMQ background processing.
CI/CD with automated tests, Docker images, and AWS EC2 deployment via Ansible.

Spring BootReactRabbitMQAWSAnsible

Smart Inventory AI Bot

Source Code

Built a cross-platform mobile app with React Native, FastAPI, and Google Gemini AI to answer inventory and pricing questions from Google Drive CSV sources in real time.