About Me

My name is Parth Rathi, I'm a Master's student in Computer Science at the University of Stuttgart with internship and project experience in web development, exploratory data analysis, predictive models, and trend analysis. I have a passion for solving complex problems using technology, from full-stack development to cybersecurity and data analysis.

I'm experienced with Python, FastAPI, Angular, and have worked on projects ranging from radiation spectrum analysis systems to OSINT investigation platforms. I'm particularly interested in machine learning, cybersecurity, and building scalable web applications.

Below are details of my work experience and projects I have developed during my studies and internships.

Work Experience

Software Developer

Masycoda Solutions Pvt. Ltd. • Nagpur, India

March 2024 – March 2025

• React.js
• JavaScript ES6+
• Bootstrap
• Tailwind CSS
• React Hooks
• React Router

Developed responsive and dynamic user interfaces for enterprise web applications using React.js, driving IT consulting and digital transformation initiatives while enhancing performance and user experience.

• Built reusable UI components with React Hooks and ES6+ for streamlined development
• Improved application performance by 25% through code optimization and lazy loading
• Elevated interactivity by 30% using advanced state management and React Router
• Accelerated development velocity by 30% by creating a reusable component library
• Delivered responsive design across devices using Bootstrap and Tailwind CSS
• Collaborated on seamless frontend-backend integration and API consumption

Software Engineering Intern

Bhabha Atomic Research Centre (BARC) • Mumbai, India

July 2023 – January 2024

• Python
• FastAPI
• PostgreSQL
• Angular
• UART Communication
• Redis

Contributed to end-to-end software development of a radiation spectrum analysis system, improving data accuracy, processing speed, and user experience through UART communication, async processing, and Redis caching.

• Enhanced data accuracy via UART protocol implementation for reliable hardware communication
• Improved processing speed by 20% with optimized Python and FastAPI backend architecture
• Reduced load time by 25% using Angular with efficient component design and lazy loading
• Cut response time by 40% with async processing for non-blocking operations
• Boosted data retrieval speed by 35% with Redis caching for frequently accessed data

This system is used by researchers and scientists at BARC for analyzing radiation spectra, enabling faster and more accurate analysis of nuclear materials and radiation sources.

Tech Radar

The secret sauce — tools that power my work

Projects

GraphX-OSINT

2024

• FastAPI
• Neo4j
• Celery/Redis
• Next.js
• OSINT
• Cybersecurity

Built a production-grade OSINT investigation platform using FastAPI, Neo4j, Celery/Redis, and Next.js for real-time threat intelligence and graph-based analysis.

• Integrated 10+ OSINT providers (DNS, WHOIS, Shodan, VirusTotal, HIBP, URLScan, OTX, Hunter.io) for multi-source enrichment of emails, domains, and IPs.
• Designed a risk scoring engine (0–100) combining threat feeds, domain age, TLS data, breaches, and network exposure.
• Implemented an interactive graph workspace with pivot actions, case management, tags, notes, and real-time visual updates (Cytoscape.js).
• Built distributed enrichment pipelines using Celery workers + Redis, enabling parallel intelligence gathering with live progress.
• Developed professional investigation tooling including PDF report generation, advanced filtering, search, and a modern UI (Next.js, Tailwind, glassmorphism).
• Deployed full stack on Vercel + Koyeb + Neo4j Aura + Upstash Redis (free-tier) with containerized builds and CI/CD-ready infrastructure.

URL Phishing Detection System

2024

• Machine Learning
• FastAPI
• PostgreSQL
• Browser Extension
• Cybersecurity

Developed a real-time phishing detection platform using machine learning, FastAPI, and browser security tooling to classify malicious URLs.

• Integrated threat-intelligence APIs (Google Safe Browsing, VirusTotal) to enhance detection accuracy and provide multi-source verification.
• Designed secure backend pipelines with FastAPI, PostgreSQL, and ML models (Logistic Regression, BERT).
• Built a browser extension UI to deliver instant risk alerts and safe-browsing feedback to end users.

ACL-MetaExplorer

2024

• Python
• Streamlit
• SQLite
• Neo4j
• Data Analysis
• Graph Analytics

Developed a research analytics tool by applying modern software development practices with Python, Streamlit, SQLite, and Neo4j to handle data processing, interactive visualization, and graph-based analysis.

• Built with Python, Streamlit, SQLite, and Neo4j to handle data processing, interactive visualization, and graph-based analysis.
• Applied TF-IDF text analysis to extract topic relevance from publications.
• Modeled citation networks to identify influential research and collaboration patterns.
• Worked collaboratively and communicated results through interactive visualizations for research insights.

Neuralipnet

2024

• TensorFlow
• OpenCV
• Deep Learning
• Computer Vision
• Real-time Processing

Worked on developing and optimizing a lip-reading model, achieving strong accuracy and real-time performance for practical applications.

• Built with TensorFlow and OpenCV, reaching 75% accuracy on a custom lip-reading dataset.
• Implemented real-time video processing pipeline for live lip-reading applications.
• Optimized model architecture for efficient inference and deployment.

These projects represent my journey in computer science, from cybersecurity and OSINT to full-stack development, machine learning, and computer vision. I'm always eager to learn new technologies and tackle challenging problems.

Contact

Reach out on LinkedIn

Email: htrap1211@icloud.com