Mohak.
Resume ↓Let's Connect
MS CS @ Arizona State University

I build systems
that scale

Distributed systems, AI engineering, and security research. Currently looking for Summer/Fall 2026 roles.

"
The best way to predict the future is to build it.
— Alan Kay, Computer Scientist
View My Work Resume ↓
Mohak Rathod
🚀
Currently
Building cool stuff
0.0
GPA at ASU
0
Research Papers
0+
GitHub Repos
0
SOC Internships
✦Distributed Systems✦AI / ML✦LLM Engineering✦Cybersecurity✦Cloud Native✦Backend Engineering✦Research✦Open Source✦Distributed Systems✦AI / ML✦LLM Engineering✦Cybersecurity✦Cloud Native✦Backend Engineering✦Research✦Open Source
Skills

What I bring

Click a card to explore my technical domains.

⚙️

Distributed Systems

🧠

AI / ML Engineering

🛡️

Security Engineering

Neo4jSASTGitleaks
☁️

Backend & Cloud

📄

Research

Pick a card↓
🛡️

Security Engineering

Open-source ASPM platform, SOC analyst experience, blockchain-based voting and file sharing systems.

Neo4jSASTGitleaksTrivyBanditBlockchainIPFS
Related Projects
VulnGraph
Votix
Decentralized File Sharing
Work

Recent Projects

A selection of systems I've built — distributed infrastructure to AI pipelines.

Distributed Rate Limiter
3,000 req/s with 100% success across 60k requests
Distributed Systems

Distributed Rate Limiter

3,000 req/s · 1.57ms avg latency

Token-bucket rate limiter in Go + gRPC. Coordinates per-client state across instances via Redis. p99 latency under 12ms at peak load. Deployed on Kubernetes with Prometheus/Grafana auto-scaling.

GogRPCRedisKubernetesPrometheus
Feb 2026
Distributed Systems · MLOps

Self-Healing AI Training Cluster

Docker-based master-worker system with gRPC heartbeats. Auto-detects node failures and reassigns tasks. Checkpoint-driven recovery and All-Reduce gradient synchronization maintain training correctness.

PythongRPCFastAPIDockerPyTorch
Security · AI

VulnGraph

Open-source ASPM platform integrating Gitleaks, Trivy, and Bandit. Stores findings in Neo4j as attack graphs. Uses phi3 via Ollama for plain-English vulnerability explanations. CI/CD scanning on every PR.

PythonNeo4jStreamlitDockerLLM
AI / LLM Engineering

Multi-Agent LLM Framework

Cooperative LLM agents with explicit task routing and shared state for data synthesis and summarization. Optimized inter-agent communication pipeline cutting inference latency by 35%.

PythonLangChainLangGraph
View all on GitHub
Research

Published Work

3 papers across cybersecurity, blockchain, and AI — one published, two in review.

In ReviewAug 2024 – May 2025

Strengthening AI-Powered URL Classification using MMAUC

Ensemble ML pipeline for malicious URL detection. 93% accuracy, 18% fewer false positives, 22% better class balance via GAN augmentation.

MLEnsemble MethodsGANCybersecurity
Coming soon
PublishedAug 2023 – Dec 2024

Blockchain-Powered Decentralized File Sharing

Decentralized file-sharing using IPFS, AES encryption, and blockchain for tamper-evident distribution.

BlockchainIPFSCryptography
In PublicationAug 2022 – May 2024

Votix — Blockchain-Based Secure Voting System

Decentralized voting with smart contracts and facial recognition for voter auth. Tamper-proof, auditable, trustless.

BlockchainSmart ContractsComputer Vision
Coming soon
Reading List

Books on my shelf

What I read shapes how I think. A dev who only codes gets stuck.

Currently Reading
Designing Data-Intensive Applications
15%
Designing Data-Intensive Applications
Martin Kleppmann
AI Engineering
10%
AI Engineering
Chip Huyen
Hands-On Large Language Models
0%
Hands-On Large Language Models
Jay Alammar & Maarten Grootendorst
Software Architecture Patterns
10%
Software Architecture Patterns
Mark Richards
Completed
Ikigai
Ikigai
Ikigai
Héctor García & Francesc Miralles
The Psychology of Money
The Psychology of Money
The Psychology of Money
Morgan Housel
The Alchemist
The Alchemist
The Alchemist
Paulo Coelho
Cloud Computing: A Bottom-Up Approach
Cloud Computing: A Bottom-Up Approach
Cloud Computing: A Bottom-Up Approach
Dr. Ming Zhao
Will Read
Hands-On LLM Serving and Optimization
Hands-On LLM Serving and Optimization
Hands-On LLM Serving and Optimization
Chi Wang
Team of Rivals
Team of Rivals
Team of Rivals
Doris Kearns Goodwin
The Curious Incident of the Dog in the Night-Time
The Curious Incident of the Dog in the Night-Time
The Curious Incident of the Dog in the Night-Time
Mark Haddon
Contact

Let's build something together

Open to full-time and internship roles in software engineering, AI and data science. Based in Tempe, AZ. I will reply within 24 hours.

Available for opportunities · Tempe, AZ