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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.

dhruv@portfolio ~ %
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Python
Go
TypeScript
JavaScript
React
Next.js
Django
FastAPI
Node.js
PostgreSQL
pgvector
MongoDB
Redis
AWS
Docker
Kubernetes
Helm
Terraform
Kafka
gRPC
Prometheus
Claude API
PyTorch
GitHub Actions
Python
Go
TypeScript
JavaScript
React
Next.js
Django
FastAPI
Node.js
PostgreSQL
pgvector
MongoDB
Redis
AWS
Docker
Kubernetes
Helm
Terraform
Kafka
gRPC
Prometheus
Claude API
PyTorch
GitHub Actions
Python
Go
TypeScript
JavaScript
React
Next.js
Django
FastAPI
Node.js
PostgreSQL
pgvector
MongoDB
Redis
AWS
Docker
Kubernetes
Helm
Terraform
Kafka
gRPC
Prometheus
Claude API
PyTorch
GitHub Actions
Python
Go
TypeScript
JavaScript
React
Next.js
Django
FastAPI
Node.js
PostgreSQL
pgvector
MongoDB
Redis
AWS
Docker
Kubernetes
Helm
Terraform
Kafka
gRPC
Prometheus
Claude API
PyTorch
GitHub Actions

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 AI-powered platforms.

I've contributed to Kubernetes (v1.36), built LLM diagnostic agents with Claude API, engineered Raft-based distributed file systems, and deployed GenAI pipelines processing 1.5M+ tokens for World Bank and Gates Foundation research. My stack spans Go, Python, TypeScript, Django, Kafka, gRPC, AWS, Docker, Kubernetes, Helm, and Terraform.

Currently working at the USC Annenberg Norman Lear Center building NLP pipelines and semantic retrieval systems, with 2 IEEE publications and 8+ merged open-source PRs across Kubernetes, Glean, OWASP, and pnpm.

Los Angeles, CA
Open to Opportunities

Education

University of Southern California

Master of Science in Computer Science (GPA: 3.85/4)

Sep 2024 – May 2026

Analysis of AlgorithmsDistributed SystemsInformation RetrievalWeb TechnologiesNatural Language ProcessingComputer Networks
Pandit Deendayal Energy University

Bachelor of Technology in Computer Science & Engineering (GPA: 3.88/4)

Nov 2020 – May 2024

Distributed SystemsMachine LearningDatabase Management SystemsArtificial IntelligenceOperating SystemsComputer Networks

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

Python92%
JavaScript (ES6+)93%
TypeScript88%
Go82%
Java80%
C++78%
SQL85%

Frontend

React93%
Next.js85%
Vue.js76%
Tailwind CSS88%
HTML5/CSS387%

Backend

Django / DRF90%
Node.js / Express92%
FastAPI82%
Flask78%
REST APIs93%
gRPC78%

Cloud & DevOps

AWS (EB, RDS, S3, Lambda)88%
Docker88%
Kubernetes / Helm82%
Terraform78%
GitHub Actions / CI/CD91%

Databases & Messaging

PostgreSQL / pgvector91%
MongoDB83%
Redis78%
Kafka78%

ML / NLP / AI

PyTorch80%
Claude / OpenAI APIs88%
RAG Pipelines82%
LLM Function Calling85%
Hugging Face78%

By the numbers

Impact in Numbers

0+

Years of Experience

0+

Projects Built

0+

Open Source PRs Merged

0+

Technologies

0

IEEE Publications

0

Certifications

03.

Work Experience

Building production systems at scale. Click on each role to see details.

1

Software Engineer

USC Annenberg Norman Lear Center

May 2025 – PresentLos Angeles, CA
  • Architected a Django + PostgreSQL backend on AWS Elastic Beanstalk; optimized ORM queries, connection pooling, and B-tree indexing to boost API throughput 42% and reduce p95 latency 35% under peak load.
  • Built scalable ETL pipelines processing 50K+ multilingual data points and 1.5M+ tokens into PostgreSQL + pgvector, with async I/O throttling reducing API rate-limit failures to <2%.
  • Built GenAI-native data pipelines leveraging LLM classification (OpenAI, Claude) for sentiment/toxicity analysis on multilingual social media data for World Bank and Gates Foundation research.
  • Engineered a semantic retrieval system using text-embedding-3-large with pgvector for 150K+ records; evaluated inter-annotator agreement (Cohen's kappa = 0.576, Krippendorff's alpha).
  • Configured CI/CD pipelines with rollback support via GitHub Actions; automated Docker image builds and health-probe validation, increasing release reliability 40%.
DjangoPostgreSQLAWSGenAIpgvectorDocker
2

Software Development Engineer

SPIGOT Developers

Jan 2024 – Jul 2024India
  • Designed Node.js/Express microservices with Redis caching and Kafka message queues, improving p95 latency 35% and doubling throughput (2.1x) across 14+ stable releases via horizontal scaling and async I/O.
  • Streamlined CI/CD via GitHub Actions with parallel tests and cached Docker images, cutting build-to-deploy time from 18 min to 7 min (-61%) and enabling one-click rollbacks.
  • Refactored a monolithic codebase into modular microservices with gRPC APIs, distributed tracing, and rate limiting, accelerating deployment velocity 3x across environments.
Node.jsRedisKafkaDockergRPC
3

Full Stack Developer Intern

SPIGOT Developers

May 2023 – Aug 2023India
  • Built modular Vue.js + TypeScript + Tailwind CSS dashboards serving 300+ DAUs with responsive, accessible UX.
  • Implemented OAuth2 + RBAC authorization, blocking 90% of unauthorized requests; deployed serverless functions for real-time analytics.
  • Wrote 50+ unit and integration tests (Jest, Cypress), achieving 85% code coverage; resolved 12 WCAG accessibility violations across 6 modules.
Vue.jsTypeScriptTailwindOAuth2Jest

04.

Featured Projects

A selection of projects I've built. Filter by technology to explore.

DeployIQ — AI K8s Deployment Pipeline

Production-grade Go CLI for Kubernetes deployments with an LLM diagnostic agent using Claude API with native function calling. Iteratively invokes 5 K8s tools across up to 5 reasoning iterations. RAG pipeline with pgvector for incident retrieval. Kafka event streaming, 6 custom Prometheus metrics, Terraform IaC, and <30s automated rollbacks.

GoKubernetesClaude APIKafkaTerraformPrometheus

Distributed File Storage System

GFS-inspired distributed file system built from scratch with Raft-replicated master cluster for leader election, log replication, and automatic failover. 16-shard metadata partitioning with chain-replication writes across N-way replicas, benchmarked at 47K+ ops/sec (64 concurrent clients, p99 latency 2.3ms).

C++gRPCRaft ConsensusProtobuf

Reddit:AI — Intelligence Platform

AI-powered platform built at CalHacks 12.0 with real-time sentiment and toxicity classification using Claude. Integrated Letta AI agents with persistent memory, reducing redundant moderation flags 80% vs. AutoMod. Built with Next.js, FastAPI, and MongoDB.

Next.jsFastAPIClaudeMongoDBDocker

Fin-Nexus (FinTech SaaS)

Integrated Plaid + Dwolla APIs for KYC verification and ACH transfers in under 2 minutes. Automated CI/CD with Docker + Kubernetes + GitHub Actions with test gates, release notes, and monitoring.

Next.jsPlaidDockerKubernetesGitHub Actions

PixMod — AI Image SaaS

AI-driven SaaS platform for advanced image processing featuring restoration, recoloring, object removal, generative filling, and background removal. Includes secure auth, Stripe payments, and a credits system.

Next.jsTypeScriptMongoDBCloudinaryStripe

Hospital Management System

Healthcare patient management app with registration, appointment booking, admin scheduling, SMS notifications via Twilio, and performance monitoring with Sentry.

Next.jsTypeScriptAppwriteTailwindTwilio

05.

Publications

Peer-reviewed research published at IEEE conferences.

Bridging Dialects: Enhancing Neural Machine Dialect Translation for Gujarati Language Through Model Adaptation

IEEE INDIACom 2025

Thakkar, Vekariya, Bhanderi, Paliwal

Outperformed GPT-4 and Gemini on BLEU, METEOR, and chrF metrics
NLPPyTorchNLLBLow-Resource Languages

Impact of Two-Factor Authentication on User Convenience and Security

IEEE INDIACom 2023

Bhanderi et al.

Cited 2 times
SecurityAuthenticationUser Research

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.

Contact Info

Email

dbhander@usc.edu

Phone

(213) 725-8988

Location

Los Angeles, CA