I'm a passionate Computer Science and Engineering student at The Ohio State University with expertise in AI/ML, Full-Stack Web Development, Software Engineering, and Cloud Computing. I have hands-on experience with modern technologies and have built projects spanning from machine learning applications to full-stack web applications, with professional experience at NMT Security and Deloitte.

• 🎓 3.6/4.0 GPA | Expected Graduation: May 2026
• 💼 3 Internships | NMT Security, Deloitte, Verzeo Edutech
• 🚀 15+ Projects | Full-stack applications, AI/ML systems, distributed systems
• 🏆 2 AWS Certifications | AI Practitioner & Cloud Practitioner
• 📝 Research Publication | 22 citations on Fake News Detection
• 👥 Leadership | Founder & President of Quantum Computing Club, Resident Advisor

• Java, Python, JavaScript (Node.js, React, Next.js, TypeScript), Go, Ruby, SQL, HTML, C

• Node.js, React, Next.js, Ruby on Rails, Tailwind CSS, TensorFlow, OpenCV, NumPy, Agile

• AWS (Lambda, Bedrock, Lex, S3, RDS, EC2, DynamoDB, API Gateway), GitHub, Eclipse, MySQL, PostgreSQL, SQLite3, Bootstrap, Docker, Kafka

• "Certified AI Practitioner" by AWS
• "Certified Cloud Practitioner" by AWS

• "Fake News Detection using Machine Learning and Natural Language Processing", 2021 ICTAI, Tashkent, Uzbekistan, 2021, pp. 547-552, doi: 10.1109/ICTAI153825.2021.9673378. (22 citations)

Tinton Falls, NJ | May 2025 - August 2025

• Architected and deployed a full-stack AI chatbot solution on AWS using Python and Lambda to solve user queries, integrating AWS Bedrock for advanced NLU, reducing customer query resolution time by 40% and successfully handling 1,000+ queries per day with a 95% accuracy
• Automated cybersecurity threat analysis by developing robust Python scripts integrated with VirusTotal/OTX APIs for threat intelligence, reducing manual analysis time by 15 hours per week, building tools for data processing, and improving threat detection accuracy by 30%

Remote | June 2021 - September 2021

• Expedited team document search by 10 hours/month by migrating 100+ reports to a centralized cloud repository, while also reducing client deployment delays by 30% and saving $5K+ annually through diagnosing integration bottlenecks and implementing AWS automation tools

Remote | April 2021 - May 2021

• Delivered 4 AI projects (e.g., facial recognition, traffic sign detection) with 90%+ accuracy using Python/CNNs, adopted by 5+ peers
• Led team of 20 peers to complete projects 2 weeks early using Agile task delegation

🔗 Live Demo | React, Next.js, TypeScript, Tailwind CSS

• Technology: React 18, Next.js 14, TypeScript, Tailwind CSS, Vite, Lucide React, Radix UI
• Description: Modern, responsive portfolio website showcasing professional experience, projects, and skills
• Features:
  • Responsive design with mobile-first approach
  • Interactive project showcase with detailed descriptions
  • Professional experience timeline and achievements
  • Contact form and social media integration
  • Optimized performance with Vite build system
• Impact: Professional online presence with modern UI/UX design

🔗 Live Demo | Next.js, TypeScript, Go, PostgreSQL, AWS S3 | September 2025 – October 2025

• Technology: Next.js, TypeScript, Go, PostgreSQL, AWS S3/RDS, Tailwind CSS
• Description: Built a full-stack social media platform for recipe sharing with 15+ features including authentication, follow system, real-time notifications, commenting, liking, and comprehensive profile management, creating seamless user experiences across all touchpoints
• Features:
  • User authentication with JWT tokens and secure password hashing
  • Recipe sharing with multiple images and step-by-step instructions
  • Social features: like posts, comment, follow users, real-time notifications
  • Profile management with photo uploads and bio editing
  • Personalized feed with followed users' content
  • AWS S3 integration for scalable image storage
  • Responsive design with Tailwind CSS
• Impact: Engineered scalable backend REST APIs using Go and PostgreSQL, implemented JWT authentication, integrated AWS S3 for media storage, and designed responsive UI with Next.js and Tailwind CSS supporting 100+ concurrent users with optimized database query performance

🔗 Live Demo | React.js, Node.js, AWS Lambda, DynamoDB | August 2025 – November 2025

• Technology: React.js, Node.js, AWS Lambda, DynamoDB, API Gateway
• Description: Architected a scalable serverless backend (Node.js, AWS Lambda) handling 500+ concurrent users with sub-200ms response times
• Features:
  • Product catalog with 5 premium sweatshirt designs
  • Shopping cart with real-time updates and persistence
  • Advanced checkout form with comprehensive validation
  • Order confirmation with professional receipt display
  • AWS Lambda functions for serverless processing
  • Real-time inventory management with DynamoDB
  • Sequential order numbering system
  • Country-specific state/province validation
• Impact: Built a complete buying workflow (checkout, payment details, confirmation) and optimized UI, reducing cart abandonment by 25%

Python, Docker, Kafka, FAISS, React | October 2025 – November 2025

• Technology: Python, Docker, Apache Kafka, FAISS, React
• Description: Engineered a distributed streaming architecture to ingest high-velocity financial news feeds using Apache Kafka and Docker containerization; built a sentiment analysis worker using Vector Search (RAG) and FAISS to correlate live news events with historical market context, delivering sub-second bullish/bearish trend indicators to a React dashboard for immediate decision support
• Features:
  • Distributed ingestion with Apache Kafka message broker
  • Vector search (FAISS) for semantic similarity matching against economic axioms
  • Directional sentiment analysis (BULLISH/BEARISH/NEUTRAL) with confidence scores
  • Real-time visualization dashboard with WebSocket integration
  • Microservices architecture with Docker containerization
  • Sub-second latency for end-to-end processing
• Impact: Production-grade distributed system demonstrating real-time data processing and AI/ML integration

Ruby on Rails 7.2, SQLite3, Bootstrap 5 | August 2024 – December 2024

• Technology: Ruby on Rails 7.2, SQLite3, Bootstrap 5
• Description: Developed a full-stack CRUD platform for 200+ students, reducing submission errors by 35%, improving SQL query speeds by 2s/request, and communicating technical progress and performance in presentations to peers and instructors throughout the development cycle
• Features:
  • User authentication and role-based access control
  • Course and homework management system
  • Real-time feedback collection and analysis
  • Instructor dashboard with grading tools
  • Student dashboard for feedback review
• Impact: Streamlined evaluation process for educational institutions with measurable performance improvements

Java | January 2025 – April 2025

• Technology: Java, Lexical Analysis, Parsing, Recursive-Descent Execution
• Description: Designed and implemented a production-grade interpreter with lexical analysis, parsing, and recursive-descent execution processing 1,000+ lines/sec; incorporated robust reference-counting garbage collection and syntax checks ensuring 99.9% parsing accuracy for reliable execution
• Features:
  • Lexical analysis and tokenization
  • Recursive-descent parsing
  • Robust memory management with reference-counting garbage collection
  • Extensive syntax and semantic error checking
  • Reliable execution of complex language constructs
• Impact: Production-grade interpreter demonstrating deep understanding of compiler design and language implementation

• Technology: TensorFlow, EfficientNet, OpenCV, dlib
• Description: Computer vision system that detects and localizes aging signs (wrinkles, dark spots, puffy eyes) on facial images
• Features:
  • Real-time face detection using Haar Cascades
  • Facial landmark detection with 81-point model
  • Bounding box visualization for detected signs
  • Multiple deployment options (Colab, Jupyter, Python scripts)
• Impact: Developed a complete ML pipeline with 600+ training images

• Technology: Python, NumPy, Matplotlib, Machine Learning
• Description: Comprehensive AI coursework covering fundamental algorithms and machine learning techniques
• Projects (4 major assignments):
  • Search Algorithms: DFS, BFS, UCS, A* implementation using Pacman framework
  • Linear Regression: Polynomial feature transformation with overfitting analysis
  • Naive Bayes Classification: Sentiment analysis on Twitter data with 74%+ accuracy
  • Logistic Regression & Perceptron: Binary classification on fMRI brain data
• Impact: Demonstrated expertise in search algorithms, machine learning, NLP, and neural networks

• Technology: Java, Lexical Analysis, Parsing, Memory Management
• Description: Complete compiler pipeline from lexical analysis to execution
• Projects (6 comprehensive projects):
  • Project 1-2: Lexical analysis and basic parsing
  • Project 3: Full interpreter with memory management and garbage collection
  • Project 4: Function calls and parameter passing
  • Project 5: Object-oriented features and type system
  • Project 6: Advanced language features

• Technology: Java, MVC Architecture, GUI Development
• Description: Advanced calculator for natural number operations with comprehensive testing
• Features: Model-View-Controller architecture, extensive documentation, unit testing

• Technology: Java, XML Processing, Web Scraping
• Description: RSS feed aggregator with XML parsing and content management

• Technology: Java, Cryptography, Security
• Description: Cryptographic tools and utilities for secure data processing

• Technology: Java, Data Structures, Algorithms
• Projects: Hash tables, Binary Search Trees, Linked Lists, Heap Sort, Graph algorithms
• Description: Custom implementations of fundamental data structures and algorithms

• Technology: Java, Text Processing, HTML Generation
• Description: Tag cloud generator with word frequency analysis and HTML visualization

• Technology: C Programming, x86-64 Assembly Language
• Projects (6 comprehensive projects):
  • Mathematical Integration System: Numerical integration using rectangle approximation for x² function
  • Bit Manipulation Utilities: Pattern matching, bit counting, and file processing with conditional logic
  • Word Search Matrix: 8-directional word search in 2D character matrices with boundary validation
  • Course Management System: Dynamic memory management with comprehensive tracking and sorting
  • Assembly Language Programming: Vector operations, prime counting, and system calls
  • Vector Sorting Algorithm: Assembly sorting implementation with I/O operations and stack management
• Impact: Deep understanding of low-level system operations, memory management, and computer architecture

• Technology: MATLAB, Signal Processing, Game Engine
• Projects: Custom game engine development and signal processing applications

The Ohio State University, College of Engineering
Bachelor's of Science in Computer Science and Engineering
Expected Graduation Date: May 2026

• GPA: 3.6/4.0
• Specializing in Software Engineering
• Relevant Coursework: Software Engineering, Data Structures & Algorithms, Object-Oriented Programming, Machine Learning, Distributed Enterprise Computing, Database Systems, Web Development, Operating Systems, Artificial Intelligence, Quantum Computing, Networking

March 2025 – Present

• Launched the university's first quantum computing organization by leading entrepreneurial and outreach efforts, building cross-functional relationships with faculty and student groups, recruiting an executive board, and expanding membership through targeted initiatives

August 2024 – Present

• Led community-building initiatives as a Resident Assistant, boosting resident participation by 40% through creating and organizing 15+ events and workshops tailored to diverse interests; maintained a 95% satisfaction rate and resolved 10+ policy conflicts by fostering an inclusive, supportive living environment and providing proactive, empathetic outreach and conflict resolution for residents

Try out my deployed projects:

• Personal Portfolio: https://personal-portfolio-tau-navy.vercel.app/
• RecipeShare - Social Recipe Network: https://recipe-social-media-personal.vercel.app/auth/login
• JEAR E-commerce Platform: https://jear-ecommerce-cse-5234.vercel.app/

• Email: [email protected]
• Phone: +1 6144939393
• LinkedIn: ansh-pachauri
• GitHub: anshpachauri23/Portfolio
• Website: https://personal-portfolio-tau-navy.vercel.app/

Portfolio/
├── README.md                    # Main portfolio overview
├── CONTACT.md                   # Contact information and availability
├── SKILLS.md                    # Technical skills and achievements
├── PROJECTS_OVERVIEW.md         # Comprehensive project showcase
├── personal-portfolio-website-main/    # React/Next.js Portfolio Website
│   └── 🔗 Live: https://personal-portfolio-tau-navy.vercel.app/
├── recipe-socialMedia-personal-main/  # Full-Stack Social Media Platform
│   └── 🔗 Live: https://recipe-social-media-personal.vercel.app/auth/login
├── JEAR-ecommerce-CSE5234-main/  # E-commerce Platform
│   └── 🔗 Live: https://jear-ecommerce-cse-5234.vercel.app/
├── Market-Pulse-Real-Time-Distributed-Financial-Sentiment-Engine-main/  # Financial Sentiment Engine
├── Ageing Sign Detection Project/    # AI/ML & Computer Vision
├── AI class projects/           # AI Coursework & Machine Learning
├── PeerEval/                    # Full-stack Web Application (Ruby on Rails)
├── Java Projects/               # Java Applications & Software Engineering
│   ├── Principles of Programming/  # Compiler & Interpreter Projects
│   ├── Software 1/              # Advanced Java Applications
│   └── Software 2/              # Data Structures & Algorithms
├── C and Assembly language projects/     # Systems Programming
├── MATLAB projects/             # Signal Processing & Game Development
└── ECE 2060 lab reports/       # Academic Documentation

• Portfolio Website: personal-portfolio-tau-navy.vercel.app - Interactive showcase of my work
• Project Documentation: Each project directory contains detailed README files with setup instructions, technical specifications, and usage guides
• Source Code: All projects include complete source code and are available for review

This portfolio is for demonstration purposes. Individual projects may have their own licensing terms.

Last Updated: January 2025