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 Discord RPC

View My Work

CacheAi

July 2025 - Present

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 - Present

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.

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