Alejandro Díez Guillamón

About

I’m Alejandro – not your average software engineer. I was born in the 14th smallest country, Andorra, and grew up speaking Spanish, Catalan and English. Combining the thrill of skiing, the determination of triathlons and the creativity of coding, I dive into challenges with a unique perspective, unraveling solutions from unexpected angles.


Education


Northeastern University – B.S. in Computer Science with a concentration in Artificial Intelligence and a minor in Mathematics

Experience

TimeCredit AI – Software Engineer

Feb 2024 – Present

  • Built a hybrid RAG system using dense and sparse vectors for precise and efficient information retrieval.
  • Optimized document ingestion and embedding pipelines, ensuring efficient processing of unstructured data.
  • Automated technical memo generation by structuring contract data with LLMs and rule-based extraction.
  • Deployed AI solutions that reduced consultants’ workload by 80%, improving operational efficiency.

VenuAI – AI Software Engineer

Sept 2023 – March 2024

  • Developed an AI-powered application to automate sales pipelines, cutting client outreach time by 97.5%.
  • Leveraged ML and NLP techniques for text analysis, sentiment classification, and email response generation.
  • Pioneered an AI-based web scraper for lead personalization, improving outbound sales efficiency.

Poloniex – Software Engineer

Jan – Jun 2022

  • Contributed bug fixes to a cloud microservices platform fixing block processing in the Ethereum blockchain.
  • Maintained blockchain nodes, docker images and migrated tokens enabling trading for 100k daily users.
  • Ensured the correct migration of 400k dollars’ worth of tokens by running smart contract operations.
  • Completed stories for two-week Jira sprints while mentoring interns to facilitate their task completion

iSpecimen – QA Engineer

Jan – Jun 2020

  • Eliminated manual tasks by automating UI tests using Telerik Test Studio for the platform’s marketplace.
  • Improved patient data quality by performing cleansing actions to avoid overlap of old/new user activities.
  • Sped up developer’s debugging process by completing stories for biweekly Agile sprints.
  • Developed a long-term automated testing plan to facilitate the entry of future QA engineers

50+ Foundation (Volunteer) – Python Instructor

Sept – Dec 2018

  • Taught the principles of Computer Science and basic concepts of Python to a group of 24 elders.
  • Established professional relationships, and enabled elders to be independent in developing their own projects.

Projects

Prediction of stock movement based on Reddit mentions – Python
  • Normalized the stock’s data retrieved from the Marketstack’s API to lessen computational costs.
  • Used KNN to estimate the predicted price movements by examining the (k=11) days with z-score similitudes.
  • Trained the models on Nasdaq stocks with high and low variance in price movements and daily mentions.
Re-engineering ClashRoyale with AI Opponent Mechanisms – C++
  • Successfully re-engineered the renowned Clash Royale gameplay by innovating an AI opponent mechanism.
  • Strategically conceptualized and calibrated character attributes, elixir dynamics, and attack specifications to guarantee a balanced and competitive player experience.
  • Developed an AI algorithm that dynamically recognizes threat zones, orchestrates troop deployment based on elixir management, opponent potency, and real-time battle damage analytics.


Mobile Applications


iWanIt – Kotlin/Swift

  • Engineered a student-centric marketplace application, optimizing peer-to-peer exchanges with secure, integrated chat functionalities for dynamic price negotiations and in-depth product discussions.
  • Pioneered a dual-faceted payment methodology enhancing transaction security, elevating user trust, and fostering seamless trades.
  • Implemented a robust Firestore and Firebase database infrastructure, meticulously designed for scalability, ensuring swift uploads and efficient data retrieval as user demand grows.

Tapit – Java

  • Designed an engaging mobile app using Java, Android SDK, and Firebase for real-time user engagement.
  • Implemented Firebase Firestore and JavaScript optimizations for real-time user ranking updates and scalability.
  • Innovated a reward system promoting local commerce and driving user interaction with monetary incentives.

TripFinder – Java

  • Developed a mobile application, integrating various Transit APIs for cost-effective route recommendations.
  • Built a user-centric platform enabling trip sharing, photo attachments, and fostering user connectivity.
  • Devised a data storage system for easy user trip retrieval and improved user experience.

Contact me

Please reach out to me directly at alejandrodiezguillamon@gmail.com if you require access to GitHub repositories or have any further questions.