Rishee Deshmukh

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Rishee Deshmukh

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About

Where I come from.

M.S. Computer Science from Syracuse University, class of 2026. I gravitate toward problems that sit between systems: where security meets usability, where AI meets real engineering constraints, where theory has to survive contact with production.

When I'm not writing code, I'm playing guitar, competing in games, or rewatching something comforting for the third time. I believe the best engineers are the ones who stay curious outside their IDE.

Languages

Python, JavaScript, TypeScript, Solidity, SQL, HTML/CSS

Frameworks

React, Next.js, FastAPI, Node.js, Express, Django

AI / ML

TensorFlow, LangGraph, Scikit-learn, Hugging Face, NLP

Infrastructure

PostgreSQL, Supabase, Docker, Git, AWS, Vercel

Projects

What I've built.

multi_agent_review.py
AI systems
01 / 04

Multi-Agent Code Review System

An AI-powered code review pipeline deploying parallel LangGraph agents to analyze code across security, performance, and maintainability dimensions. Claude Sonnet synthesizes multi-dimensional feedback into actionable recommendations.

FastAPILangGraphReactClaude APISupabase
Parallel agent architecture for concurrent analysis
Real-time session tracking via Supabase
Synthesis layer aggregating multi-agent feedback
Security
02 / 04

SecureChat

End-to-end encrypted real-time messaging built on modern cryptographic primitives. Forward-secret key exchange ensures that compromising one session never exposes another.

X25519ChaCha20-Poly1305WebSocketNode.jsReact
X25519 elliptic-curve key exchange
ChaCha20-Poly1305 authenticated encryption
Zero-knowledge server architecture
BlockchainPeer-reviewed
03 / 04

E-Ballot

A decentralized voting platform on Ethereum smart contracts delivering transparent, tamper-proof elections with verifiable on-chain results.

EthereumSolidityWeb3.jsReactTruffle
0.00 votes/min throughput
0.0x performance improvement
AI / NLP
04 / 04

T5 Text Simplification

Fine-tuned T5 transformer on the WikiAuto dataset for automated text simplification, optimized for meaningful structural and lexical rewrites rather than surface-level paraphrasing.

T5TensorFlowWikiAutoScikit-learnPython
SARI-optimized simplification pipeline
Fine-tuned on 488K sentence pairs
Structural and lexical transformation focus
Experience

Where I've worked.

Full-Stack Engineer

iConsult Collaborative · 2025 – 2026

Developed and shipped full-stack features across client projects, working with React frontends and Node.js backends in a collaborative, agile environment.

ReactNode.jsAgileFull-StackREST APIs

Network Engineering Intern

Cisco · 2023

Contributed to network infrastructure tooling and gained hands-on experience with enterprise-scale systems and engineering workflows.

Network InfrastructureEnterprise SystemsCisco IOS
Get in touch

Rishee Deshmukh · 2026