Abdullah Ramadan

About Me

As an Electrical and Computer Engineer, I focus on integrating advanced technologies to address complex challenges. My experience encompasses embedded systems, blockchain development, and data science, with additional expertise in AI and machine learning. I've had the opportunity to contribute to various projects, from a wearable tech startup to developing solutions for pharmaceutical companies. My approach involves combining knowledge from electronics, software development, and systems programming to create effective, innovative solutions. I am particularly interested in projects that require interdisciplinary skills and have the potential for significant real-world impact.

Professional Experience

• AI Course Instructor
  InspiritAI (June 2022 – Present)
  • Designing and delivering comprehensive AI courses, focusing on practical model building and real-world applications.
  • Empowering high school and college students with hands-on experience in cutting-edge AI technologies, fostering the next generation of AI innovators.
  Machine Learning AI Education
• LLM Dataset Curator and Contributor
  Outlier.ai (January 2024 - Present)
  • Spearheading the curation and enrichment of datasets for Large Language Models, enhancing AI comprehension and output quality.
  • Contributing to the advancement of natural language processing technologies, directly impacting the development of more sophisticated and context-aware AI systems.
  AI Development Data Curation NLP
• Co-Founder
  Boreas Co., Princeton, NJ (12/2021 – 09/2023)
  • Developed schematics and PCB designs for wearable sensor prototypes, reducing device footprint by over 60%.
  • Created embedded firmware for Cortex-M4f microcontrollers and migrated to Rust for RISC-V, achieving a 3x increase in battery life.
  Arduino Rust PCB Design Embedded Systems RISC-V KiCAD
• Project Engineering Intern
  802., New York City, NY (08/2022 – 01/2023)
  • Managed and designed low-voltage systems for commercial buildings in the Greater NYC area.
  • Developed software to automate CAD processes using AutoLISP.
  AutoLISP Low-voltage Systems CAD
• Undergraduate Technical Assistant
  Princeton Davidson Research Group, Princeton, NJ (10/2021 - 04/2022)
  • Designed and implemented a pressure-based extrusion system for an Aerotech motion system, including CAD design, firmware, and API development.
  Firmware Development API Development CAD
• Blockchain Development Intern
  Merck & Co. Inc., Branchburg Township, NJ (Multiple internships from 08/2019 to 08/2021)
  • Created blockchain-based tracking software for vendor-managed replenishment, pharmaceutical shipments, and eLeaflet administration.
  • Deployed ElasticSearch on AWS for efficient data management.
  ElasticSearch Blockchain AWS

Projects and Achievements

• 3rd Place in Princeton's COSCON Competition
  • COSCON (Computer Science Competition) is an annual event hosted by the Princeton ACM student chapter, challenging participants to solve complex computational problems within a 6-hour timeframe.
  • Demonstrated advanced problem-solving skills and computational expertise, competing against top computer science students at Princeton University.
  
  Problem Solving Algorithms Competitive Programming
• Data Scientist at New Jersey Student Climate Advocates
  • Developed sophisticated predictive models to assess the impact of various climate policies, providing data-driven insights for policymakers.
  • Contributed critical data analysis that formed the foundation for climate policy bills in the New Jersey State Legislature.
  Predictive Modeling Environmental Data Science Policy Analysis
• 1st place in Merck Challenge at HackRU Spring 2019
  Created a dashboard for data analysis in a global pharmaceutical tracking system.
  Data Analysis Dashboard Development Pharmaceutical Tracking
• 3rd place overall at HackPrinceton Fall 2019
  Developed a VR game with a mobile companion app for a collaborative game concept.
  VR Development Mobile App Development Game Design

Technical Skills

• Programming Languages: Rust, Python, C, C++, Java, OCaml, Verilog, JavaScript (Node.js + Angular)
• Machine Learning & AI: TensorFlow, NEATs, Scikit-learn, Natural Language Processing
• Systems Programming: Embedded Systems Development, FPGA Programming, ASIC Design
• Hardware Design: PCB Design, CAD, Prototyping
• Protocols & Technologies: I2C, SPI, UART, BLE, Wi-Fi, Blockchain
• Data Science: Predictive Modeling, Data Analysis, Visualization

Contact

• Email: [email protected]
• LinkedIn: linkedin.com/in/abdullahramadan00/