Hey, I'm Joaquin Molto

Software EngineerFlorida International UniversityM.S. in Computer ScienceMinor in Mathematical Sciences

Passionate Computer Science professional with a Master of Science in Computer Science degree (minor in Mathematical Sciences) from Florida International University and three years of professional experience in developing high-performance, secure, user-friendly software solutions that adhere to industry standards.Proficient in multiple programming languages including C/C++, C#, Java, HTML, CSS, JavaScript, and Python. Well-versed in multiple technology stacks and frameworks, such as Next.js, React, Angular, and Flask. Experienced in leading the development of AI-powered applications, including a feature-rich coaching app and an embodied conversational agent. Adept at managing complex projects and ensuring punctual delivery of high-quality results.I'm driven by the challenge of integrating AI and ML into practical, user-friendly solutions that push the boundaries of what is possible in software development. Whether it is enhancing educational tools, improving data analysis, or creating more personalized user interfaces, I am committed to delivering high-quality, innovative solutions that make a real-world impact.Feel free to contact me at joaquin.molto.cs@gmail.com


Skills

Programming Languages
C
C++
Java
JavaScript
TypeScript
Python
MATLAB
Wolfram

Experience

Florida International University

Miami, FL

Graduate Research Assistant

August 2022 - Present

  • Led Development Initiative: Spearheaded the development of M3i Journey, an AI and ML-powered Learning Management System (LMS) web application focused on financial literacy for K-12 students
  • Validated Market Demand: Conducted extensive market research and individual interviews with key stakeholders, leading to a 30% reduction in development time
  • Integrated Recent Technologies: Implemented an enhanced AI-driven UX by boosting OpenAI's Assistant API with RAG frameworks, enhancing LLM responses and improving user engagement and satisfaction by 20%

Undergraduate Research Assistant

August 2022 - Present

  • Collected and Processed Data: Retrieved and preprocessed large data repositories of enrolled students' demographic information
  • Learned Python Libraries: Leveraged versatile data analytics Python libraries such as Matplotlib, Pandas, and NumPy
  • Applied Data Mining Concepts: Applied classical unsupervised ML algorithms and NLP algorithms for data analysis

Human Capital Consultants International

Miramar, FL

Software Engineer I (Full-Stack)

January 2022 - March 2024

  • Streamlined Development Flow: Set up a CI/CD development pipeline using Git, GitHub, Docker, and Microsoft Azure, optimizing development time by 30%
  • Increased User Traffic: Developed and maintained a responsive and modern UI using Next.js and Tailwind CSS, increasing user traffic by 25%
  • Built Safe Backend: Built a robust and secure backend following REST API architecture's best practices
  • Designed NoSQL Database: Designed and implemented a NoSQL database schema using MongoDB with Mongoose.js
  • Adhered to SDLC Framework: Followed the Agile-Scrum framework for timely completion of user stories

Education

Florida International University logo

Florida International University(May 2023 - May 2024)

Master of Science in Computer Science

Florida International University logo

Florida International University(May 2021 - May 2023)

Bachelor of Science in Computer Science

(Minor in Mathematical Sciences)
Miami Dade College logo

Miami Dade College(August 2018 - December 2020)

Associate of Arts in Computer Science


Projects

SymboSolve

A Retrieval-Augmented Generation (RAG) system for processing and indexing university-level math course material. Features a symbolic math input system and combines LLMs with Computer Algebra Systems for accurate computations.

React
SymPy
Wolfram
LLMs
RAG
LlamaIndex
LangChain

NeuroGlimpse

A dashboard-like web application for visualizing open-source Large Language Models' (LLMs) output. Creates dynamic visualizations of HuggingFace's models' internal mechanisms, making LLMs more transparent and explainable.

React
Axios.js
D3.js
Flask
LLMs
HuggingFace

eEVA++

An Embodied Conversational Agent leveraging HumeAI's SDKs for emotionally intelligent alcohol motivational interviewing. Features multi-modal input processing and a collapsible chat-like interface with message metadata and inference data.

React
ChakraUI
Unity
HumeAI SDK
WebSockets
Made with ❤️ by Joaquin Molto