Deep Akbari

Software Engineer

Introduction

Hi, I'm Deep Akbari, an aspiring software engineer. I'm passionate about building cool projects with AI, or any new technology that interests me. Currently, I am working on a reddit query api.

About Me

19 yo, computer science sophomore, going to university of south florida (on a presidential scholarship yay). i've been getting more into programming recently and i do so by creating side projects to solve my daily problems :)

projects

🏆 Talkio (Swamphacks 2026 Winner)

github↗

AI-powered sales conversation intelligence platform

🏆 Talkio (Swamphacks 2026 Winner)
  • Won Best Use of DigitalOcean at UF for building an AI-powered sales conversation intelligence platform.
  • Built an LLM-driven transcript analysis pipeline with MongoDB semantic search across client conversations.
  • Created a multi-agent AI system with Gemini and ElevenLabs, hosted GPT-OSS-120B model on DigitalOcean.

React · Radix · Node · MongoDB · Openrouter

Haraesume

github↗

Go, Langchain, AuroraDB, Auth0

Haraesume
  • Created resume optimisng platform in Go to generate ATS-ready resumes and CVs with inner validation.
  • Designed AI agent system using LangChain and PostgreSQL + pgvector for optimizing resumes and retrieval.

Go · Langchain · AuroraDB · Auth0

Spotify MCP

github↗

MCP server enabling LLM agents to control Spotify through natural language

Spotify MCP
  • Built an MCP server exposing 5+ Spotify capabilities as structured tools for LLM agents via Spotify Web API.
  • Implemented OAuth 2.0 and token refresh flows for secure, user-authorized access to real-time Spotify data.

Typescript · Spotify API · MCP · OAuth

Cinetune

github↗

Spotify + Letterboxd clone

  • 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.

Javascript · Express.js · Node.js · supabase

Portfolio Website

github↗

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.

React · Tailwind

Askabull

github↗

Full stack RAG chatbot

Askabull
  • 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.

Python · Typescript · Node · React · Supabase · Gemini API

Backtest Stock Price Prediction Engine

github↗

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, and visualizations.
  • 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.

Python · Jupyter · AlphaVantage · YahooAPI

Apocalorie (HackUSF 2025)

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.

Python · React · Node · Tailwind · Express · Gemini API

Crypto News Bot

github↗

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.

Python · Linode · Firebase · CoinMarketCap API · Telegram API