Data Entry Machine Learning

Edwin Y. Almodóvar Rivera

************@*****.*** 787-***-**** linkedin.com/in/edwin-almodovar

EDUCATION

University of Puerto Rico Mayagüez

Computer Science and Engineering

Second Year – Major GPA: 4.0 (Unweighted)

SKILLS

Soft Skills: Communication Leadership Time Management Responsibility Team Collaboration Adaptability Problem-Solving

Courses Taken: Fundamentals of Computation, Advanced Programming, Intro to Programming Tech Stack: Python, C++, JavaScript, TypeScript, Svelte, Flask, HTML, CSS, LLaMA Productivity Tools: Google Suite (Docs, Slides) Microsoft Office (Word, PowerPoint, Excel), Git, VSC, Figma, Languages: Fluent in English and Spanish.

PROFESSIONAL EXPERIENCE

Centrix Corp

Freelance Inventory Management Automation Specialist

•Built and automated an e-commerce inventory system in Python by leveraging eBay’s API to integrate with Google Sheets, automating product tracking (ID, part name, and listing URL) for telescope components and ensuring data accuracy.

•Generated over $2,000 in profit through optimized tracking, strategic listing management, and efficient online sales of telescope parts, blending hands-on technical skills with business insight.

•Streamlined listing and inventory processes, creating a system that could be expanded to manage hundreds of telescope part listings without increasing workload. PandaHat Adversarial Research, MIT Lincoln Labs

Project Manager

•Led and mentored an undergraduate research team in machine learning fundamentals, coordinating weekly sessions, assigning tasks, and supporting team members’ growth while promoting best practices for machine learning.

•Guided collaborative research on sustainable machine learning, combining literature review with hands-on testing of optimization methods in Scikit-learn and PyTorch to reduce energy use, while encouraging open discussion, teamwork, and knowledge-sharing among peers.

•Presented research findings at the IAP Symposium, showcasing work on machine learning vulnerabilities and adversarial attacks to peers, faculty, and industry sponsors, strengthening public speaking, collaboration, and technical communication skills.

Colegio Prosthetics Research Team, UPRM

Lead Software Developer

•Developed a scalable interface for prosthetic control systems in Arduino IDE and C++, enabling real-time servomotor simulations by capturing ~960 EMG data points per second, reducing iteration time during prototyping

•Implemented reliable Digital-to-Analog communication pipelines using custom Tkinter libraries, streamlining configuration, port handling, calibration, and data logging to improve system stability and reduce debugging time.

•Researched and integrated machine learning models into the control system, significantly enhancing accuracy, adaptability, and efficiency of prosthetic responses while laying groundwork for future applications. ORGANIZATIONS

UPRM Pink Pandas Women in Cybersecurity

Member

Computing Alliance of Hispanic Service Institutions (CAHSI) Member

UPRM IEEE Intelligence Society

Social Media Manager

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