Building Intelligent Systems.
Hey, I'm Neel. I'm a software engineer and Georgia Tech CS student focused on applied AI and iOS. I'm currently building ML and graph analytics systems at GTRI's CIPHER Lab and shipping production-level SwiftUI apps with Core ML.
Summary
I build practical AI and iOS systems that translate research into products people can use every day.
Incoming Software Engineer Intern at GTRI CIPHER Lab focused on ML systems for cybersecurity and intelligence analysis.
Built and deployed AI-powered products including a multimodal image search engine over 10,000+ assets.
Led iOS product development with SwiftUI and Core ML, combining research-grade models with production UX.
Behind the Code
My engineering philosophy stems from the idea that algorithms are only as good as the interfaces that present them. It's why I've dedicated myself to understanding the full pipeline—from crafting underlying embedding models with PyTorch, down to building reactive views with SwiftUI. Currently a third-year undergrad at the Georgia Institute of Technology, my focus is turning academic AI theory into tangible products.
When I'm not configuring a FAISS vector database or debating the latest Apple frameworks inside the GT iOS Club, you will likely find me staying active at the gym, tinkering with new Apple Silicon hardware capabilities, or finding ways to inject machine learning into everyday inefficiencies.
"Good code solves the math. Great engineering solves the user's problem."
Education
Georgia Institute of Technology
Bachelor of Science in Computer Science
Atlanta, GA · GPA: 4.0 · Expected May 2027
Technical Deep Dives
Select a project below to read an in-depth case study of the architecture and implementation.
MARTA Live Transit Tracker
A full-stack live transit tracker: a 24/7 FastAPI/SQLite backend polling MARTA's GTFS-Realtime feeds (575K+ arrival observations across 78 routes and 6,200+ stops), feeding a native SwiftUI app tracking ~200 live vehicles at a 15-second refresh.
LLM Red-Teaming Evaluation Pipeline
An extensible prompt-injection evaluation framework testing local and frontier LLMs across 46 payloads and 41 techniques, with a dual rule-based + LLM-as-judge scoring pipeline that quantified up to a 47% robustness gap on local 8B models.
Multimodal AI Search Engine
A visual search engine indexing over 10,000 images using CLIP embeddings and FAISS, enabling retrieval from natural language prompts in under 2 seconds.
JotDown
An elegant SwiftUI macOS/iOS application leveraging on-device Core ML to perform NLP semantic searching and dynamically generate knowledge graphs from user notes.
Real-Time ASL Interpreter
A computer vision pipeline using MediaPipe to accurately predict and interpret continuous American Sign Language streams into real-time synthesized speech.
Experience
Software Engineer Intern, CIPHER Lab - Threat Analysis Branch
Georgia Tech Research Institute (GTRI)
- Developing ML R&D solutions and graph analytics pipelines supporting cybersecurity and intelligence analysis workflows.
- Applying NLP techniques to analyze large-scale unstructured data in a national security context.
- Contributing to a graph analytics dashboard platform using vertex/edge graph structures in close collaboration with the research team.
Automated Algorithm Design - AlphaEvolve Subteam
Georgia Institute of Technology VIP Program
- Contributing to a GTRI-sponsored research program building a multi-objective genetic programming framework that evolves hybrid algorithms from data.
- Extending the LLM-Guided Evolution (LLM-GE) framework to automate proposal, mutation, and evaluation loops for generated code.
- Running reproducible experiments on Georgia Tech PACE ICE HPC infrastructure for neural architecture search and benchmarking.
Senior iOS Developer
Georgia Tech iOS Club
- Led a team of 8 developers building iOS apps with Swift, Core ML, and Firebase across 3 club projects used by 150+ members.
- Collaborated with designers and engineers to architect SwiftUI features using MVVM, reducing onboarding drop-off by 30%.
- Reviewed 40+ pull requests, mentored 4 junior developers, and helped reduce bug rates while improving delivery speed.
Technical Toolkit
Machine Learning
PyTorch, TensorFlow, scikit-learn, FAISS
Data
pandas, NumPy
iOS Development
Swift, SwiftUI, Core ML, MVVM
Backend & Databases
SQL, MySQL, MongoDB, Firebase, Node.js
Programming Languages
Python, Java, C, C++, JavaScript, Next.js, React
Tools
Git, GitHub, CI/CD, Jenkins, GitHub Actions, Docker, CMake
Cloud
AWS, Azure
Full Resume
A comprehensive overview of my education, experience, projects, and technical skills—available to view and download.