Profile: Jemil DhariaAI x Full Stack
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Focus

GenAI Apps

Stack

Python + React

Cloud

AWS + Databricks

Current Role

XR + Teaching

Hey, I am Jemil. I build software where AI systems, product thinking, and scalable engineering meet. I specialize in Python, C++, Node.js, React, and cloud-native development to turn ideas into useful products.

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About me

Hi! I have a background in Computer Engineering and am currently getting my Master's in Computer Science at Arizona State University. I fell in love with software development because it lets me build real things out of abstract logic. It is the ultimate creative outlet for problem-solvers.

I spend most of my time working with Python, JavaScript, React.js, Node.js, and AWS. Recently, I have been having a lot of fun building out generative AI tools, cloud pipelines, and full-stack web apps, but I am always eager to pick up whatever new tech gets the job done best.

When I am not staring at a screen, I am probably lifting weights, on my bike, or exploring a new city. I love a good outdoor adventure just as much as a great Sci-Fi movie.

My projects

MarketPulse

An event-driven financial intelligence system that streams stock ticks and headlines through Kafka, correlates price deviations with news, and uses a local LLM agent for analyst-style market summaries.

  • Kafka
  • Python
  • Ollama
  • PostgreSQL
  • pgvector
  • LLMs

GenAI Job Analyzer & Cold Email Agent

A RAG-based AI agent that uses Playwright to scrape job descriptions, detects visa restrictions, and performs skill matching with ChromaDB to generate cold emails.

  • RAG
  • LangChain
  • Groq LLM
  • ChromaDB
  • Streamlit

ASU-ccessful-Match

Peer-learning platform using Zoom API for automated study session creation with personalized matching, one-click scheduling, and resource sharing.

  • EdTech
  • Zoom API
  • Automation
  • Peer Learning

Review Analysis of Food Delivery Apps

Analyzed 1.6M Google Play Store reviews for DoorDash, Uber Eats, and Grubhub using Apache Spark on Databricks.

  • Apache Spark
  • Databricks
  • AWS S3
  • SparkSQL
  • Visualization

Aasmatech Website

I developed the official website for Aasmatech during my internship. The site facilitates scalable content management and showcases the company’s services effectively.

  • React.js
  • Node.js
  • Git
  • Contentful
  • Vercel
  • Agile

Photovoltaic Satellite Image Analysis

A deep learning framework using U-Net for pixel-level segmentation and ResNet18 for binary classification on photovoltaic satellite imagery.

  • Python
  • Deep Learning
  • U-Net
  • ResNet18
  • AI

CPU Scheduling Algorithm Simulator

A web-based simulator for visualizing CPU scheduling algorithms. Includes Gantt Chart visualizations and key performance metrics computation.

  • Algorithm
  • OS
  • JavaScript
  • React.js
  • Chart.js

My skills

  • Python
  • C++
  • C
  • C#
  • Java
  • JavaScript
  • TypeScript
  • HTML
  • CSS
  • React
  • Next.js
  • Node.js
  • Express
  • Flask
  • FastAPI
  • Django
  • Streamlit
  • AWS
  • Azure
  • Docker
  • Kafka
  • CI/CD pipelines
  • Git
  • Firebase
  • PostgreSQL
  • MongoDB
  • Databricks
  • Apache Spark
  • TensorFlow
  • Pandas
  • NumPy
  • Matplotlib
  • Tableau
  • Power BI
  • LangChain
  • LLMs
  • RAG
  • Vector Databases
  • Claude Code
  • GitHub Copilot
  • Cursor

My experience

Contact me

Please contact me directly at dhariajemil@gmail.com or through this form.