Antonio Iadicicco

About Me

Hello there! I'm a versatile professional with a strong background in programming, web development, data science, and machine learning. My technical skills include HTML, CSS, React, JavaScript, Node.js, Flask, Python, Pandas, NumPy, TensorFlow, and Keras, among others.

As the co-founder of Anatta, I grew and led a team of four to generate over $100,000 in revenue within the first year of operation. I also managed operations and logistics, and coordinated pop-up events to help local designers launch their own clothing brands.

In my previous role as an Inventory Procurement Head at Manhattan Luxury, I sourced nearly $1 million in inventory and managed relationships with dozens of wholesalers and retailers.

I'm a Bachelor of Arts in Computer Science candidate at Hunter College, with a strong interest in entrepreneurship, photography, fashion, architecture, and social impact. I'm excited about the prospect of contributing my skills and experience to a dynamic team.



Other Skills



Anatta | August 2021 - Present

Inventory Procurement/Assistant to CEO

Manhattan Luxury | May 2016 - September 2019

Procured inventory for high end fashion e commerce retailer. Cultivated and maintained relationships with dozens of wholesalers and retailers, along with commercial clients. Operated semi autonomously after only 1 year, and sourced/procured nearly $1 Million in merchandise. Lead a team of 2 adult employees at age 17.

Was promoted to assistant to CEO, where I continued to maintain the connections I had cultivated, along with many others. Managed day to day scheduling and payroll. CEO is still a very close friend of mine, and mentored me when I was starting my own company.


Bachelor of Arts in Computer Science

Hunter College | August 2019 - Present

High School Diploma

Saint Joseph by the Sea High School | September 2015 - May 2019


RFID Tag Geolocation System

Utilized a novel method typically found in radar systems to facilitate accurate geolocation of passive UHF RFID tags for retail applications. I also developed an algorithm for matching tags with shopping carts when placed within them, by using proximity, and the motion paths of the item tags along with a tag placed on the shopping cart.

Speed Camera Data Science Project

Extracted Data from nearly 10 years of traffic violations and Collisions in order to develop a dataset for speed camera revenue, and collision prevention. I then designed a predictive ML model to forecast future revenue and collision prevention statistics for each camera in the New York City network


  • Built a multi-chat web app for interactng with an enhanced ChatGPT using React and Python Flask.
  • Enabled ChatGPT access to a Python Interpreter, optical character recognition (OCR), web browsing, recursive prompting, and multi-modal functionality.
  • Built within 3 weeks of GPT-4's release, and several months prior to the official implementation of any of these features
  • Implemented a sandboxed environment using containerization for secure code execution by the ChatGPT instance.
  • Managed multiple user instances offering features like saving/loading user-specific API keys, chat instances, and files
  • Transitioned to serverless architecture using AWS services Amplify, API Gateway, Lambda, DynamoDB, and ECR.
  • EchoNote

  • Developed an AI assisted note-taking webapp using React, Which was able to take live spoken content, create highly accurate transcripts, and then create notes from those transcripts
  • Built custom JavaScript implementation for live streaming audio to the speech to text model
  • Utilized Session Storage rather than database backend, making notes more secure, and reducing backend overhead

  • Interests/Hobbies

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