Hi, my name is
Dhruv Bhanderi
I build scalable systems & intelligent platforms.
Software Engineer specializing in building scalable full-stack applications, cloud infrastructure, and high-performance systems. Currently pursuing MS in Computer Science at USC.
01.
About Me
I'm a Software Engineer pursuing my Master's in Computer Science at USC (3.85 GPA), with a B.Tech in CS from Pandit Deendayal Energy University (3.88 GPA). I specialize in building production-grade distributed systems, scalable APIs, and cloud-native applications.
My expertise spans the full stack — from React and Next.js frontends to Node.js/Django microservices, gRPC APIs, and Kafka event pipelines. I've deployed on AWS with Docker and Kubernetes, automated CI/CD with GitHub Actions, and built AI-powered platforms using LLM agents like Claude 3.5 and Letta AI.
Currently studying Analysis of Algorithms, NLP, Information Retrieval, and Web Technologies at USC while interning at the USC Norman Lear Center, where I've boosted API throughput by 42% and cut deployment errors with automated pipelines.
Education
University of Southern California
Master of Science in Computer Science (GPA: 3.85/4)
Sep 2024 – May 2026
Pandit Deendayal Energy University
Bachelor of Technology in Computer Science & Engineering (GPA: 3.88/4)
Nov 2020 – May 2024
Currently
Working at
USC Norman Lear Center
Studying
NLP & Information Retrieval @ USC
Building
AI-powered platforms & distributed systems
Based in
Los Angeles, CA
02.
Skills & Technologies
A comprehensive toolkit built through real-world projects and production systems. Hover over each category to explore.
Languages
Frontend
Backend
Cloud & DevOps
Databases
Tools & Testing
By the numbers
Impact in Numbers
Years of Experience
Projects Completed
Technologies Mastered
GitHub Contributions
Cups of Coffee
Certifications
03.
Work Experience
Building production systems at scale. Click on each role to see details.
Software Engineer Intern
USC Norman Lear Center
- Architected and deployed a Django + PostgreSQL backend on AWS Elastic Beanstalk, optimizing ORM queries, connection pooling, and indexing to boost API throughput 42% and reduce response latency 35% under peak load.
- Developed a React + Django REST search system with dynamic year-filter and keyword routing, improving frontend load times by 30%, enhancing UX, and ensuring seamless API integration across modules.
- Automated ETL pipelines using AWS RDS snapshots, S3, and Python, enabling fault-tolerant data ingestion, accelerated data syncs, consistent environment deployments, and automated schema version control.
- Implemented CI/CD pipelines with rollback support and environment parity checks, increasing release reliability by 40%, reducing deployment errors, and enabling automated AWS builds with GitHub Actions workflows.
Software Development Engineer
SPIGOT Developers
- Designed Node.js/Express microservices with Redis caching and Kafka workers; improved p95 latency by 35% and doubled throughput (2.1×) across 14+ stable releases via horizontal scaling and async I/O optimization.
- Automated CI/CD pipelines via GitHub Actions (parallel tests, cached images), reducing build-to-deploy time from 18m to 7m (-61%) and enabling one-click rollbacks with Dockerized staging verification checks.
- Refactored a monolith into modular microservices with gRPC APIs, distributed tracing, and rate limiting, improving fault isolation and deployment velocity 3× across environments through containerized orchestration.
Full Stack Developer Intern
SPIGOT Developers
- Built modular Vue.js + TypeScript + Tailwind dashboards for 300+ DAUs with responsive, accessibility UX.
- Implemented OAuth2 + RBAC, blocking 90% of unauthorized requests; deployed serverless functions for analytics.
- Partnered with design/QA to ensure WCAG accessibility compliance and stable user-facing releases.
04.
Featured Projects
A selection of projects I've built. Filter by technology to explore.
Reddit AI-Native Platform
Rebuilt Reddit as an AI-native platform using Claude 3.5 for sentiment analysis on 500+ comments under 5s. Integrated Letta AI moderation agents with persistent memory, reducing redundant flags by 80% vs AutoMod. Engineered Node.js + Flask API and MongoDB pipeline for multi-thread analysis and dashboard.
Distributed File Storage System
Implemented a GFS-inspired distributed file system using Raft consensus for replication and failover. Designed sharded metadata and chunk servers with replication, achieving 99.99% durability under node failures. Benchmarked throughput at 20K+ ops/sec across concurrent clients.
05.
Certifications & Achievements
Professional certifications that validate my expertise.
IBM Full Stack Software Developer
Proficiency in cloud-native application development with React, Node.js, Docker, and Kubernetes.
Foundations: Data, Data, Everywhere
Foundational data concepts and their application in data-driven decision-making.
IBM Full-Stack JavaScript Developer
Full-stack JavaScript development with modern frameworks and cloud deployment.
06.
Get in Touch
I'm currently open to new opportunities. Whether you have a question or just want to say hi, my inbox is always open.