Projects

Product work, systems thinking, and research evidence

This page is the proof layer: projects, architecture choices, and publications that reinforce the technical areas where I go deep.

What the work proves

The projects here are chosen to show more than implementation speed.

They show architecture ownership, not just interface polish.
They show where distributed systems, security, and ML workflows intersect.
They connect shipped builds to a broader pattern of research and technical depth.

Distributed systems build

Production-grade product

CoLab - Real-time Collaborative Editor

High-performance real-time collaborative text editor with conflict-free synchronization, live presence cursors, and deep versioning built around CRDT principles.

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Problem: Enable instant, conflict-free collaboration with secure session handling, auto-saving persistence, and version history snapshots.

System work: Designed the Y.js and WebSocket architecture, engineered compressed snapshot persistence in PostgreSQL, and implemented JWT-based auth with session rotation.

Outcome: Shipped a secure, low-latency collaboration stack with a real-time observability dashboard for system metrics and active user sessions.

TypeScript

React

Node.js

Redis

PostgreSQL

CRDTs

WebSockets

Docker

Applied security platform

Research-backed prototype

DefenSys - Intelligent Cyber Defense Platform

Full-stack cyber defense platform with real-time threat visualization and containerized IoT simulation for attack-response workflows.

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Problem: Give teams a safe environment to observe threats and validate automated defenses without touching production systems.

System work: Built the React dashboard and Flask services, containerized the simulation environment, and implemented Redis-backed queues for asynchronous defense tasks.

Outcome: Shipped a resilient prototype for real-time threat demos and published research on intelligent cyber defense workflows.

Python

Flask

React

Docker

Redis

Publications as credibility

5 peer-reviewed publications that reinforce the work in applied AI, security, cloud traffic classification, and systems-oriented research.

IEEE Conference Publication

2025

DefenSys: An Integrated Platform for Malware Detection and Containerized Attack Simulation using Deep Learning

Cybersecurity research on an integrated platform that combines deep-learning-based malware detection with containerized attack simulation for safe threat analysis workflows.

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IEEE Access

2025

Cited by 1+

CASB Security Analytics for Encrypted SaaS Traffic: A Hybrid Transformer-Based Classification Framework in Enterprise Cloud Ecosystems

Research on enterprise SaaS traffic classification using transformer-based approaches for encrypted cloud environments.

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ICWIHI 2025

2025

Adaptive ML Framework for SaaS Traffic Classification in Cloud Ecosystem

Applied ML work focused on cloud traffic classification and practical observability for SaaS ecosystems.

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Intelligent Cyber Physical Systems 2024

2024

Cited by 19

Smart Health Monitoring and Anomaly Detection Using IoT and AI

IoT and AI research on health monitoring pipelines and anomaly detection in connected systems.

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IEEE ICCCNT 2024

2024

Cited by 5

Intrusion Detection in Network Traffic Using LSTM and Deep Learning

Security research on sequence modeling for intrusion detection in network traffic using LSTM-based methods.

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