Lázaro Ventancor Cressatti
Building production-grade web products and machine learning systems. Currently at TradeSpark, working on AI-driven algorithmic trading.
Projects
AI Portfolio Rotation (TradeSpark)
ML Research · Internship
ML system for equity signal generation — sequential neural network trained on 2M+ rows, from raw market data to walk-forward validated predictions.
CEApp (Red de CEAs)
Web App · Production
Multi-tenant platform for Agricultural Training Centers. Public sites + centralized admin panel managing registrations, capacitation lifecycle states, and data exports for government agencies.
Semillero
Web App · Production
HR portal with candidate registration, CV upload, and admin backoffice for job postings and application management.
My Automata
Web Tool · CS
Online editor for designing, testing, and sharing finite automata (DFA/NFA). Built to translate formal computation theory into an interactive tool.
Games
Game Dev
Mobile games published on Google Play: Donut Tunnel, Neon Hover, Planet Dance. Procedural generation, orbit simulation, gameplay loops.
Work & Education
Machine Learning Engineering Intern
TradeSpark | 2025
Designed and implemented a machine learning pipeline for stock return prediction, integrating data preprocessing, feature engineering, and model evaluation. Applied AI and data-driven insights to algorithmic trading strategies.
Systems Engineering
UNICEN | 5th Year
Currently pursuing a 5-year licentiate program equivalent to an MSc. Completed rigorous coursework in linear algebra, calculus, discrete math, data structures, and algorithms.
Teaching Assistant
UNICEN | Faculty of Sciences
Teaching "Intro to Computer Science" and "Computer Architecture". Responsible for guiding practical classes, grading midterms, and explaining foundational concepts to 100+ incoming freshmen.
Online Learning — Web, AI & Math Track
Platzi | 2020 - Present
35+ courses spanning frontend development, machine learning, and mathematical foundations. Platzi is where I built my initial engineering intuition before university and where I keep learning whenever curiosity beats the syllabus.
About
I'm a Systems Engineering student at UNICEN, Argentina — currently
in my 5th year. I build web products end-to-end and research machine
learning applied to financial markets.
I also serve as a teaching assistant for Computer Science and
Computer Architecture. I believe understanding fundamentals is what
separates engineers from coders — and teaching them is the fastest
way to really learn them.
Right now I'm an AI intern at TradeSpark, working on a system that
uses neural networks to predict which assets are worth rotating
into. It's the kind of problem that sits at the edge of what's
actually solvable.
Skills
Used in production
React
Sass
Firebase
Git
Figma
Python
Applied in research / learning
TensorFlow
Keras
C#
Unity
PostgreSQL
If you're working on something that sits at the edge of engineering and real-world impact — whether that's a product, a research problem, or something in between — I'd like to hear about it.