Aayush
Mehta

CS & Mathematics Student at Pennsylvania
State University 

I am a software engineer passionate about building fast, scalable, and user-centric products. Highly driven Computer Science and Computational Mathematics student at Penn State with hands-on experience across full-stack development, distributed systems, and AI. Want to excels in solving complex engineering problems and delivering high-impact, production-ready software. Seeking full-time opportunities starting
May 2026.

Work Experiance

Jan 23- May 26.

Research Assistant.
MarketingIQ LLC · Part-time

I engineered a large-scale automated data pipeline that scraped 50K+ app listings and 2M+ reviews using Python, Selenium, and Scrapy, supported by Celery and Redis for distributed processing. I built an ML-powered ideation model with scikit-learn and pandas that identified market gaps with 85% accuracy and integrated GPT-4 to generate high-quality, context-aware startup ideas across industries. I deployed the entire system on AWS using Lambda, SQS, and S3 with CloudWatch monitoring, enabling it to process over 100K data points daily while maintaining 99.5% uptime.


Research Assistant.
Penn State College of Engineering

Conducting research on improving code de-obfuscation using fine-tuned large language models (LLMs).
Exploring techniques involving graph representations (AST, DFG, CFG) to enhance model performance.
Analyzing the compilation success rates and accuracy of LLMs like GPT-3.5 and GPT-4 for original and obfuscated code.

Applied Researcher.
OPARCS Lab

Utilized Linux for development, leveraging command-line tools, version control, server deployment, and containerization to enhance productivity and collaboration.
Contributed code and bug fixes to open-source projects, including React and the Linux Kernel, improving functionality and user experience.

Applied Researcher.
Pulsar ClubPulsar Club

Detected pulsars using raw data manipulation.
Skills: Radiation Detectors · Visualization · Data Manipulation

Enclosure. A singular piece of three-dimensionally formed laminated glass flows into an aluminum alloy frame that curves to wrap around your face.

Light Seal. The Light Seal gently flexes to conform to your face, delivering a precise fit while blocking out stray light.

Head Band. The Head Band provides cushioning, breathability, and stretch. The Fit Dial lets you adjust Vision Pro precisely to your head.

Power. The external battery supports up to 2 hours of use, and all‑day use when plugged in.

Sound. Speakers positioned close to your ears deliver rich Spatial Audio while keeping you aware of your surroundings.

"Boundaries are meant to be pushed."

My Projects

GIST

Built and maintained Node.js + Firebase backend APIs for event discovery, registration, check-in, and attendee badge/profile management consumed by a Swift iOS client.

Designed NoSQL data models and a real-time 1:1 matching engine for 8-minute speed-networking sessions, including session lifecycle and synchronization of attendee photos and badge IDs.

Implemented real-time chat and AI-powered group coordination, auto-creating events from group chat intent and publishing them into the group feed with notifications via Firebase Cloud Messaging.

Tech Stack

Swift (iOS), Node.js (Express), Firebase (Auth, Firestore/Realtime DB, Cloud Functions, Cloud Messaging)

SponsorPath

Built an AI-driven job-application automation system that reduces 20 hours of manual form-filling to 20 minutes, auto-applying to 100+ roles by scraping 1,000+ postings daily, matching candidates via vector embeddings, and submitting complete applications through MCP browser automation.

Designed a multi-layer search and ranking engine using ChromaDB semantic similarity, Elasticsearch filtering, and Claude-powered eligibility analysis to surface only roles a candidate is actually qualified for, including H1B-verified sponsorship filtering for international students.

Implemented fully automated resume generation and application workflows: generating LaTeX resumes tailored per role, filling all ATS form fields, answering custom questions from candidate experience, uploading documents, and submitting applications end-to-end in ~30 seconds each.

Tech Stack

Python, Sim.ai, Bright Data, ChromaDB, Elasticsearch, Supabase (PostgreSQL + storage), Claude API, LaTeX/LaTeX.Online, MCP browser automation, Next.js 15

Any questions
or just want to say hi?

Email: mehtaaayush9930@gmail.com

Call: +1 8143251306