Ezequiel Cutin v33.3

- Lead autonomous vehicle operations in urban environments, ensuring optimal performance and safety standards while collecting critical system data.
- Execute comprehensive testing scenarios to validate autonomous driving software responses in diverse traffic conditions.
- Collaborate with engineering teams to identify and document edge cases and system behavior patterns for iterative improvements.
- Generate detailed performance reports and documentation to support software optimization initiatives.
- Monitor autonomous system responses to various environmental conditions and obstacles, maintaining rigorous safety protocols.
- Contribute to the development of testing procedures and best practices for autonomous vehicle operations.

Skills:

Autonomous Systems · Software Testing · Data Analysis · Safety Protocols · Technical Documentation · System Validation · Performance Monitoring · Quality Assurance · Test Automation

- Spearhead the development of high-frequency trading algorithms on the QuantConnect platform.
- Conduct comprehensive technical analysis and backtesting using EMA, ATR, and proprietary indicators to optimize trading strategies.
- Enhance algorithm efficiency through risk management practices and continuous performance monitoring.
- Implement and fine-tune precise real-time trading strategies to achieve optimal performance in various market conditions.
- Examine extensive data sets to refine strategies and generate detailed performance reports for continuous improvement.
- Leverage advanced C# programming to create robust quantitative analysis tools and sophisticated trading algorithms.

Skills:

Trading Strategies · Quantitative Analytics · Market Research · C# · High-Frequency Trading · Model Training · Statistical Data Analysis · Real-Time Data Processing · Risk Management · Technical Analysis

- Facilitated student understanding of entrepreneurial B2B sales and innovation in both undergraduate and graduate-level courses.
- Acted as an investor for student projects, evaluating business proposals and providing constructive feedback.
- Provided guidance on sales strategies, intellectual property, and investment acquisition, enhancing students' practical knowledge.
- Developed essential soft skills through teaching, presentation, and conflict resolution activities, contributing to a collaborative learning environment.

Skills:

People Management · Entrepreneurship · Evaluating Projects · Mentoring · Sales Strategies · IP (Intellectual Property) · Investment Acquisition · Conflict Resolution · B2B Sales · Innovation

- Worked on a SaaS product incorporating generative AI to enhance the hiring process, personalizing interview questions and streamlining candidate evaluation for hiring managers.
- Supported project management by participating in product management, scrum, and UX meetings, as well as conducting beta user interviews to gather valuable feedback.
- Conducted automation testing using testim.io to ensure 24/7 website functionality, including the development and deployment of CAPTCHA verification processes on developer servers before going live.
- Performed competitive analysis reports, evaluating market trends, competitor strategies, and potential areas for product differentiation.
- Utilized SendGrid to set up and edit templates for targeted user communication, ensuring effective engagement in specific use cases.

Skills:

Product Management · Scrum · Test Automation · Competitive Analysis · Market Research · SaaS · GenAI · Jira · Agile Methodologies · Testim.io · Front-End Development · Web Content Accessibility Guidelines (WCAG) · Git · React.js

- Participated in a 3-week entrepreneurial program in Porto, Portugal, hosted by the European Innovation Academy (EIA), gaining hands-on startup experience through mentorship and global networking.
- Led the development of an initiative to integrate fashion elements into safety helmet design, balancing aesthetic appeal with functionality
- As CTO, led backend development, website creation, and 3D model production, enhancing e-commerce systems and operational efficiency.
- Managed the production of 3D helmet models and maintained the product database, promoting accurate visualization and information for customer interaction

Skills:

Entrepreneurship · Market Research · Scrum · 3D Modeling · Startup Development · Pitching to Investors

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- Conducted in-depth analysis and validation of housing imagery to ensure compliance with Detroit's Census criteria for identifying habitable residences.
- Utilized advanced geospatial data analysis techniques to assess housing conditions and accuracy of imagery data.
- Coordinated with cross-functional teams to integrate housing data into the city's comprehensive database, ensuring alignment with Census data for precise fund allocation.
- Applied machine learning algorithms to predict housing habitability, enhancing the city's data-driven decision-making process.
- Developed detailed reports and visualizations to communicate findings and recommendations to city officials, facilitating informed policy-making.

Skills:

Data Analysis · Geospatial Data Analysis · Machine Learning · Data Validation · Report Generation · Cross-Functional Collaboration · Policy Recommendations · Advanced Excel · Python · SQL

- Spearheaded the development of a highly efficient and scalable customer support microservice using Node.js, Express.js, and MongoDB. Designed and implemented secure authentication and role-based access control to ensure data security and compliance. Developed comprehensive CRUD operations and integrated real-time notifications to enhance user experience and operational efficiency. Successfully deployed the microservice on Heroku, complemented by detailed Swagger API documentation for seamless integration and collaboration.

Skills: Secure Authentication · Role-Based Access Control · Real-Time Notifications · API Creation

Technologies Used: Node.js · Express.js · MongoDB · Mongoose · JWT · Nodemailer · WebSockets · Jest · Swagger

Links:

API Endpoint
GitHub Repo

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This project focuses on developing a robust search engine using advanced algorithms and tools to optimize document retrieval. The search engine integrates Hadoop MapReduce, TF-IDF scoring, and Google's PageRank algorithm to enhance search accuracy and efficiency. The system is deployed on AWS to ensure scalability and performance.

Skills: Document Retrieval · Algorithm Implementation · Full-Stack Development · Cloud Deployment

Technologies Used: ReactJS · Hadoop MapReduce · AWS · TF-IDF · PageRank

Links:

GitHub Repo (Private)

Disclaimer: This repository is private due to the University of Michigan honor code policies. It was developed as part of the EECS 485 course (Web Systems) at the University of Michigan. Please contact me directly if you need more information about this project.

- Developed a fully functional MapReduce server for the EECS485 web systems class, utilizing Python to handle large-scale data processing tasks.
- Implemented advanced networking techniques using TCP and UDP protocols to manage communication between server components, ensuring efficient data transfer and task coordination.
- Enhanced server performance and responsiveness through multithreading, enabling concurrent processing of multiple tasks.
- Designed and developed a Master and Worker architecture to effectively distribute workloads, manage task execution, and ensure system scalability.
- Incorporated fault tolerance mechanisms to detect and recover from worker failures, maintaining the reliability and stability of the server.
- Enabled efficient inter-worker communication to coordinate task execution and share intermediate results.

Skills:

Fault Tolerance · Multithreaded Development · Git · Network Programming · Multithreading · TCP · MapReduce · Data Processing · WebSocket · Systems Design · Concurrent Programming · Python · UDP · Distributed Computing

Links:

GitHub Repo (Private)

Disclaimer: This repository is private due to the University of Michigan honor code policies. It was developed as part of the EECS485 course (Web Systems) at the University of Michigan. Please contact me directly if you need more information about this project.

- Insta485 is a set of 3 projects completed in UMich's EECS485 - Web Systems class. These projects focus on full-stack development of an Instagram-like system, aiming to incorporate all the basic user flows of an image-sharing site.
- The frontend was built using React, Jinja, HTML, and CSS, and served using Python's Flask framework.
- The backend consisted of a REST API built with Python's Flask and a SQLite database.
- Deployment was carried out on AWS using tools like EC2, ensuring robust and scalable infrastructure.

Skills:

HTTP · REST APIs · Full-Stack Development · WebSocket · JavaScript · Python · Jinja

Technologies Used:

SQLite · Git · Node.js · Amazon Web Services (AWS) · Flask · React.js · HTML/CSS

Links:

GitHub Repo (Private)

Disclaimer: This repository is private due to the University of Michigan honor code policies. It was developed as part of the EECS 485 course (Web Systems) at the University of Michigan. Please contact me directly if you need more information about this project.

Video:

This project is dedicated to the development of an advanced AI model that excels at detecting architectural styles. The model has undergone rigorous training on a diverse dataset consisting of 10,000 high-quality images encompassing 25 different architectural styles. These images have been carefully selected from the renowned Kaggle architectural style database (accessible at Kaggle Database).

Skills: Computer Vision · AI Model Creation · Model Training · Python · Machine Learning

Technologies Used: numpy · torchvision · sklearn · pandas · seaborn

Links:

GitHub Repo
Kaggle Database

Developed a dynamic web application, DinoSoar, that aggregates and presents detailed information on European flights. Leveraged Node.js and key airline APIs to seamlessly integrate real-time flight data and pricing models. The application was designed with a focus on optimizing accessibility and enhancing user experience, providing users with an intuitive and efficient platform to access comprehensive flight information.

Skills: Web Development · API Integration · User Experience Design · Real-time Data Processing · Full Stack Development

Technologies Used: Node.js · Express.js · JavaScript · HTML/CSS · Airline APIs

Links:

GitHub Repo

Developed a generative AI model using diffusion methods to produce lifelike floral images. Improved model efficacy by experimenting with various weight initializations and activation functions, and optimized the model's architectural depth to enhance adaptability and image quality.

Skills: Generative AI · Diffusion Methods · Model Optimization · Python · Machine Learning

Technologies Used: PyTorch · NumPy · Matplotlib · Jupyter Notebook

Links:

GitHub Repo

Images:

- Analyzed customer data to predict personal loan uptake, leading to optimized marketing strategies. Processed and organized a dataset of 5,000 customer records using SQL for accurate analysis. Created a logistic regression model in Python, achieving 92.16% accuracy, to guide targeted marketing towards customers with CD accounts and advanced education.