Hi, I'm Miguel!

Software Engineer

Projects

• JEMS Map Creation and Editing Software

  Created a full-stack ReactJS map editing application software complete with sessions, user interactions and a fully-integrated node-managed MongoDB datastore with a group of 4 using test driven development.

• 3D NURBS Interpolator and Approximator.

  Developed a full-stack web application using Node and p5js for simulating Non-Uniform Rational B-Splines that approximate 3D position and orientation quaternion data points used for predicting travel paths of rigid bodies.

• Control System for Magnetic Actuators and Soft Robotics

  Designed and built a 3-DOF magnet manipulator with UI, multi-threaded software, and optimized closed-loop multi-motor controller using C, Python, and MicroPython, applying control theory concepts to ensure accurate and stable positioning of the magnet.

• Crypto Exchange Watcher

  Developed C program for logging and aggregating live data from an unlimited number of concurrently loading crypto exchange channels with dynamic thread allocation and async I/O.

• DistilBERT Fine Tuning

  Used PyTorch and Huggingface Transformers libraries to fine tune Distilbert LLM on movie reviews with up to 92% precision and explore the effect of layer freezing.

• EmbeddedML

  Lead a team of 4, implemented various numerical integration algorithms and filters, optimized web-enabled logging and trained classification model with up to 99% accuracy for handheld, gesture-recognition micro-controllers.

• Airborne Object Interception Device

  Utilized CV-enabled camera devices to write a C application hosted on a micro controller to detect an aerial object, fit its travel path to an nth degree polynomial and predict the path of a second intercepting object before hitting the ground.

Experience

• Amazon | Data Engineering Intern

  4 2023 - 7 2023 | San Diego, California

  • Enhanced productivity by automating developer workflow using AWS CloudFormation, Lambda and ApiGateway, reducing operation time by 50% and minimizing errors through automated testing and custom NPM build processes.
  • Leveraged AWS Cloudwatch, DynamoDB, and Eventbridge to detect data discrepancies in 1000+ tables within 5 minutes of load time.
  • Provided ample alternatives to team by designing fully realized service stack mock ups before design discussions.

• Applied Visions | Software Engineering Intern

  8 2022 - 0 2023 | Northport, New York

  • Utilized .NET ILogger interface to standardize and aggregate logs from Azure App Services, VMs and SQL servers, into single Log Analytics service, catching errors and reducing debugging time by 20%.
  • Designed and implemented user verification and document sharing system from database schema to customer-facing UI.
  • Designed localization architecture in order to translate web application into various languages and dialects.

• Amazon | Data Engineering Intern

  5 2022 - 7 2022 | San Diego, California

  • Deprecated and designed replacements for high-traffic tables, reducing space usage by 30% and downstream processing time by 50% without data loss.
  • Loaded and transformed information from data lakes containing 1000+ TB of data using AWS Redshift, S3 and Apache Hive, allowing for processing in AWS Glue and Athena.
  • Designed Apache Spark testing suite to assess downstream impact of proposed ETL and DDL changes–ensuring data integrity for 100+ customers in security.