Tanmay
Chaudhari /

Software Engineer

I build production-grade AI applications and distributed backend infrastructure from LLM-powered products to container-orchestrated platforms. Currently a Master's CS student at CSUF, graduating May 2026.

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Based in
California
Roles
SWE / AI / Fullstack
Tanmay Chaudhari
// 01 — about

Building at the intersection of
AI, infra, and product.

A short story about what I work on and what I care about.

I'm a builder at heart. I gravitate toward problems that sit at the intersection of AI systems, backend infrastructure, and product engineering. The deeper the stack, the more interested I am.

My recent work spans LLM-powered products built on Gemini and modern TypeScript stacks, distributed browser isolation platforms with Go and Kubernetes, and medical imaging pipelines for neuroscience research achieving 92% accuracy. I care about reliability, observability, and code that holds up in production.

Outside of coursework at CSUF where I study Distributed Systems, Neural Networks, and Software Architecture. I ship side projects, dig into systems design, and stay current with the fast-moving AI tooling landscape.

// focus areas

  • AI / LLM application engineering
  • Backend & distributed API design
  • Distributed systems & container orchestration
  • Cloud-native infrastructure (AWS, K8s, Docker)
  • Full-stack product development
// 02 — education

Education.

Graduate work focused on systems, AI, and software engineering.

M.S. in Computer Science

California State University, Fullerton·Fullerton, CA

Concentration: Intelligent Application Systems Engineering

// relevant coursework
Advanced AlgorithmsWeb Back-End EngineeringNeural NetworksDatabase SystemsOperating SystemsCloud ComputingDistributed SystemsSoftware Architecture
Aug 2024 – May 2026

B.Tech in Computer Science & Engineering

Nirma University·Ahmedabad, India

Sep 2020 – May 2024
// 03 — featured work

Selected projects.

A mix of distributed systems, AI-powered products, Web3, and research tooling. Each shipped end-to-end.

PROJECT 01 / 05AI / Backend

RAG Pipeline

Graph-based Retrieval-Augmented Generation pipeline using a knowledge graph store instead of vector databases. Models entities and relationships as graph nodes and edges, enabling multi-hop traversal and structured context retrieval for grounded, relationship-aware LLM responses.

PythonLLMsKnowledge GraphGraph StoreRAGLangChainNeo4j
PROJECT 02 / 05Systems

Mini Browser Isolation System

Distributed remote-browser platform — Docker-isolated Chromium sessions, Go orchestrator with CDP input forwarding, WebRTC streaming with WebSocket fallback, Kubernetes HPA autoscaling, coturn STUN/TURN relay, Prometheus + Grafana telemetry, and Playwright E2E coverage.

GoDockerChromiumWebRTCKubernetesPrometheusGrafanaPlaywright
PROJECT 03 / 05AI / Full-Stack

AI Mock Interview App

Full-stack GenAI interview coach with role-based questions, real-time feedback, and ratings via Gemini 2.5 Flash. Features live transcription, waveform visualization, word count, and timer using the Web Speech API. Protected user history and score analytics on Neon Postgres.

Next.jsTypeScriptGemini 2.5 FlashClerkDrizzle ORMPostgreSQLVercel
PROJECT 04 / 05Full-Stack

StreamVault — Video Streaming Platform

Cloud-native video platform with FFmpeg HLS pipeline, S3 adaptive streaming (360p / 720p / 1080p), and a pg-boss PostgreSQL job queue. Secured 8+ routes with Clerk JWT and RBAC. Powers AI-driven transcript search via Groq Whisper with tsvector full-text indexing and React heatmap analytics.

ReactNode.jsFFmpegHLSAWS S3PostgreSQLGroq WhisperClerk
PROJECT 05 / 05Web3 / Full-Stack

TrustID — Decentralized Identity Verification

Blockchain-based identity and resume verification platform on Ethereum — Solidity smart contracts handle multi-role workflows between Applicants, Employers, and Institutions. Resumes stored on IPFS via Pinata with MetaMask wallet auth and dual-ledger sync across the blockchain and MongoDB.

SolidityEthereumReactNode.jsMongoDBIPFSPinataWeb3.jsMetaMask
// 04 — experience

Where I've worked.

Industry experience building web platforms and mobile apps shipping production code from day one.

Techy Birds

Web Development Intern

Gujarat, India

  • Engineered a RESTful portfolio platform using CodeIgniter MVC, React, MySQL, JavaScript, and Bootstrap.
  • Accelerated page load speed by 30% by optimizing Redis caching, CDN delivery, SQL queries, and async AJAX.
  • Shipped secure cloud releases using Docker, AWS EC2/RDS/S3, GitHub CI/CD, JWT, and HTTPS.
CodeIgniterReactMySQLRedisDockerAWS EC2/S3GitHub CI/CDJWT
Jan 2024 – May 2024

UniQual iTech

Android Development Intern

Gujarat, India

  • Developed an Item List app with <200ms CRUD operations using Java, Android Studio, RecyclerView, and ViewModel.
  • Boosted scroll performance by 40% across 100+ items with RecyclerView diffing, lazy loading, and multithreading.
  • Reduced memory usage by 20% with reliable offline storage via Room DB and SharedPreferences.
JavaAndroid StudioRecyclerViewRoom DBMVVMSharedPreferences
Jun 2023 – Jul 2023
// 05 — research

Research.

Peer-reviewed ML research on medical imaging and deep learning for early disease detection.

Early Detection of Parkinson's Disease using 3D MRI Images

Built a 3D CNN model for early Parkinson's Disease detection trained on PPMI clinical MRI scans with HPC multi-GPU infrastructure. Engineered a full preprocessing pipeline covering N4 bias correction, skull stripping, image registration, and normalization.

  Enhancing Parkinson's Disease Diagnosis through Deep Learning-Based Classification of 3D MRI Images
PyTorch3D CNNSimpleITKHPC Multi-GPUPPMI DatasetDeep Learning
92%classification accuracy
Jan 2022 – May 2023

A Comprehensive Survey on Parkinson's Disease Detection

Reviewed 2D/3D MRI deep learning approaches for early PD detection across 50+ papers, covering preprocessing pipelines, model architecture trends, performance benchmarks, and open research gaps in the field.

  A Comprehensive Survey on Parkinson's Disease Detection: Deep Learning, Medical Imaging, and Pre-Processing
Medical ImagingDeep Learning Survey2D/3D MRIPreprocessingResearch
2peer-reviewed papers
Aug 2023 – Dec 2023
// 06 — stack

My tech stack.

A working toolkit, organized by where it fits in the stack.

01 Languages

PythonTypeScriptJavaScriptGoJavaC++SQLSwiftKotlin

02 Frontend

ReactNext.jsTailwind CSSshadcn/uiStreamlitHTML5CSS3

03 Backend

Node.jsGo GinFastAPIDjangoFlaskREST APIsWebSocketsWebRTC

04 AI / ML

LLMsRAGLangChainKnowledge GraphsGemini 2.5 FlashGroq WhisperOpenAI APIPyTorchTensorFlowScikit-learnOpenCVMTCNNPrompt EngineeringEmbeddings

05 Cloud / Infra

DockerKubernetesAWS EC2/S3/RDSVercelGitHub ActionsLinuxSTUN/TURNGrafana

06 Data / Tools

PostgreSQLNeonMySQLRedisDrizzle ORMFFmpegPlaywrightPrometheus
// 07 — contact

Get In Touch

Or connect with me on social media