Hi, I’m Deep Akbari.

Aspiring Software Engineer

I’m passionate about building cool projects with AI, or any new technology that interests me. Currently, I am building CineTune, a Spotify + Letterboxd clone

View My Work

CacheAi

July 2025 - Sep 2025

Software Engineer Intern

Remote

  • Designed and implemented an LLM-powered candidate scoring system using Gemini, integrating user profiles with a scraped dataset of 3,000+ colleges.
  • Engineered a normalized PostgreSQL schema to store and query enriched college data, enabling seamless integration with user profiles and scoring logic.
  • Helped automate candidate ranking workflows, reducing manual screening efforts by an estimated 30%, based on 100+ active users.

Rare Lab (USF College of Engineering)

May 2025 - July 2025

ML Researcher and Software Developer

Tampa, FL

  • Fine-tuned Gemini 2.5 Flash and LLaMA2 models for multimodal elderly-assistive robot, enabling end-to-end audio-to-text interaction with a custom pipeline and achieving a 35% increase in task success rate in user trials.
  • Led speech-to-text integration and inference optimization on Raspberry Pi, reducing end-to-end response time to ¡150ms and achieving 95%+ speech synthesis accuracy, enabling real-time conversational interaction on edge hardware.
  • Engineered custom hardware station using AutoCAD 3D modeling to seamlessly integrate tablet and Misty robot systems, improving system stability and reducing setup time by 70% for user interactions.

University of Turku

March 2023 - Aug 2023

Research Assistant

Turku, Finland

  • Researched on intersection between Information Overload and Hyperchondriac, drafting documents based on the findings.

Club Involvement

Google Developer Group

April 2025 - Present

Techincal Lead

University of South Florida

  • Built the principal website for GDSC featuring member registration portal, project showcase gallery, event calendar integration, and sponsor dashboard, using CSS and JavaScript.
  • Developed backend infrastructure for hackathon website using JavaScript and Firebase, implementing participant check-in system with categorization, real-time registration management.
  • Led workshops on Data Scraping and Git tutorials as part of the Data Science and Cybersecurity team.

HackUSF

March 2025 - April 2025

Hackathon Organizer

University of South Florida

  • Managed logistics for 300+ participant hackathon, managing venue setup, transportation coordination, and equipment distribution while ensuring seamless event execution and participant satisfaction.
  • Led and coordinated a team of 10 volunteers across multiple operational areas including participant registration, wayfinding, and technical session support to maintain smooth hackathon flow.
  • Facilitated partnerships with sponsors, mentors, and university departments, ensuring stakeholder alignment and comprehensive support for participant needs throughout the event.

Spotify + Letterboxd clone

Live

a fullstack app that combines letterboxd and spotify (the apps i cannot live without)

  • Built a full-stack movie and music logging platform with Node.js, Express, and PostgreSQL, integrating Spotify Web API and TMDb API for metadata sync. Added indexing and query optimization for fast search/filter across 500+ titles.
  • Built Express.js backend with REST APIs and PostgreSQL integration, ensuring scalable data persistence and eliminating 100% of duplicate entries with FK constraints.
  • Developed a responsive JavaScript frontend, optimized API calls for sub-200ms load times, and achieved 95%+ browser/device compatibility across 5 tested environments.
JavascriptExpress.jsNode.jsFirebaseSQL

Portfolio Website

Live

clean and minimal portfolio website designed in React and Nextjs to showcase my portfolio

  • built a minimal portfolio website to showcase whatever i do.
  • react + tailwind frontend
  • next.js backend
ReactTailwindTypescriptVercel

full stack RAG chatbot

Live

a bot that uses r/usf's reddit data to answer your queries

  • Architected and deployed an AI-powered chatbot system that processes 1,000+ Reddit posts daily, achieving 95% query accuracy through ChromaDB vector embeddings and reducing response time by 70%.
  • Built a full-stack web application using a React/TypeScript frontend and Node.js backend, serving 50+ concurrent users with 96% uptime and sub-200ms API response times.
  • Integrated Google Cloud AI Platform with a Python-based data pipeline to automate content scraping and embedding generation, improving data processing efficiency by 85% and scaling to handle 50K+ posts.
PythonTypescriptNodeReactSupabaseGemini API

backtest stock price prediciton engine

a program that uses existing trading algorithms and stock data to predict prices

  • Automated data preprocessing pipeline reduced analysis time by 65%, handling normalization, missing value treatment, andvisualizations.
  • Developed a modular backtesting engine in Python using Pandas and NumPy to simulate trading strategies on over 10,000 rows of historical stock data, enabling reproducible performance testing.
  • Designed an extensible architecture leveraging NumPy and modular functions, allowing future integration of live market APIs for real-time strategy validation.
PythonJupyterAlphaVantageYahooAPI

smart calorie tracker

a hackathon project targeting the post apocalyptic track where users can estimate calorie intake based on location and food availability.

  • Developed a custom data scraper that processed over 450,000 FDA food entries, filtering and condensing the dataset to 3,000 key survival foods, improving database performance by over 99%.
  • Implemented React and Node.js, integrating Google Gemini API for dynamic AI responses and Mapbox for location-based user visualization on a post-apocalyptic Earth model
  • Rapidly prototyped and iterated a production-ready calorie tracker in a 24 hour hackathon, emphasizing scalability, data efficiency, and UX.
PythonReactNodeTailwindExpressGemini APIMapbox API

crypto news bot

a telegram bot that delivers real time crypto prices and news

  • Developed an automatic bot using Python, Coinmarketcap and Telegram API to deliver information about the current Crypto market to its users.
  • Features modular design, with separate handlers for commands like /start, /news, and /price, making it easy to maintain and improve
  • having 20+ concurrent users monthly
PythonLinodeFirebaseCoinMarketCap APITelegram API

skills i’ve worked with so far..

JavaScript
TypeScript
C++
React
Next.js
Node.js
Python
Tailwind
Vite
GeminiAPI
Azure
Google Cloud
Linode
PostgreSQL
Firebase
Supabase
Linux
Scikit-learn
Git