portfolio

I'm Deep

A sophomore at the University of South Florida studying Computer Science. You'll find everything you need at the bottom, but hear me out

I've recently started loving programming more, and instead of MrBeast or Twitch, I now enjoy watching works on AI and Engineering while eating (current interest: drones and hardware)

On a scale of 1-10, I love my family 10, my friends 10. But my dog? 11 (0 -> 1 reference) She is the best thing in the world and will always be. I still am baffled to how far we've come, and how much more I got to go. That makes me happy (and sad)

Apart from work and study, I enjoy billiards, football (American, Go Bills!), running and gym.

If I had absurd money, I would start a company to create robots for cooking (i don't like cooking :) Post retirement I am going to open a dog shelter where people can bring dogs (or cats maybe) but nobody can adopt them (unless they pass Palantir HRT Jane Street Interview w/ 27 rounds)

There's a lot I want to say, do, and learn — and the list only gets longer the more I grow. **

Experience

FEDCON

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current

AI Engineer Intern

Currently, I've been working on building a full-stack internal platform that helps consultants and clients generate custom federal contracting packages and quotes. I set up auth and UM using Redis, built an admin panel, and integrated everything with HubSpot through automated workflows (n8n) so that selected line items turn directly into draft quotes. I also developed a campaign builder interface, drag-and-drop phase selection, and an internal Kanban-style sales system, and managed to ship the core product in under 30 hours. A big focus was security and automation - hashing passwords, hiding credentials, and making sure submissions flow cleanly into CRM tools without manual work.

CacheAi

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july '25 - sep '25

Software Engineer Intern

At CacheAI, I worked on building an LLM-based ranking and scoring system for a job board platform. I deployed a user-scoring pipeline using the Gemini API to automatically rank 200+ users instead of doing it manually, and built a Python pipeline that cleaned and processed data from over 2,000 U.S. engineering schools. I designed a weighted 60/40 scoring framework and validated it against real profiles to make sure the rankings actually reflected candidate quality. It was a mix of data engineering and applied LLM work, where I focused on making the system deterministic, testable, and scalable.

Rare Lab (USF College of Engineering)

open link↗

may '25 - july '25

ML Researcher & Software Developer

At USF's RARE Lab, I worked on a low-cost LLM-powered social robot that was later accepted to the ACM HRI 2026 Companion. I built a conversational robotics system on a Raspberry Pi running Linux, integrating Vosk for speech-to-text, Gemini for reasoning, and Piper for text-to-speech. I also helped fine-tune Gemini 2.5 Flash and LLaMA2 for multimodal assistive tasks, which improved task success rates by 35%. It was hands-on research - wiring hardware, optimizing latency on constrained devices, and making LLMs actually usable in a real-world robotics setup.

Projects

🏆 Alleaf (Hacklytics 2026 at GaTech Winner

Experience

Projects

Leadership