Joaquin Salvador Machulsky
AI & ML Engineer | Data Scientist | LLM Specialist
Data Scientist with 3+ years of experience specializing in production-grade AI systems, LLM-powered solutions, and RAG architectures. Master's in Data Science with expertise in deploying scalable ML pipelines using PyTorch, AWS, and cloud infrastructure.
About Me
AI & ML Engineer with 3+ years of experience in Python, specializing in developing and deploying production-grade AI systems and LLM-powered solutions.
My Background
Since discovering the world of data during my university studies, I've dedicated myself to mastering the tools and techniques that allow me to extract valuable insights from information.
My Approach
I specialize in transforming complex data into actionable insights, combining scientific rigor with creativity to solve real-world problems through scalable AI systems.
Continuous Learning
The field of data science constantly evolves, and I stay updated with the latest technologies, algorithms, and industry best practices, particularly in LLM operations and AI Agent development.
What Drives Me?
I firmly believe that data has the power to improve lives and transform industries. My goal is to be part of that transformation, applying machine learning and advanced analysis to create innovative solutions that generate real, measurable impact. I'm passionate about building scalable, interpretable AI systems and eager to tackle complex challenges in cutting-edge AI environments.
Technical Skills
A comprehensive toolkit of technologies and frameworks for tackling any data science challenge
Programming Languages
AI/ML & LLMs
Data & Backend
Cloud & DevOps
Databases
Tools & Collaboration
Specializations
LLM Operations
Production-grade LLM systems and RAG architectures
AI Agent Development
Building scalable AI agents and debate mechanisms
Computer Vision
PyTorch-based models for medical imaging and detection
Time Series Analysis
Forecasting models for market analysis and trends
Featured Projects
A selection of projects demonstrating my expertise in data science, machine learning, and end-to-end AI solution development
AI Agents Alignment: Scalable AI Safety via Debate
Research exploring debate mechanisms for AI alignment. Implemented full simulation game (zero-sum) of a debate protocol using PyTorch, including computer vision models, turn-based strategies, and agent asymmetry capabilities.
Semantic Search RAG System
Production-grade semantic search Agentic RAG system using Gemini LLM and Google embeddings, enabling natural language queries for a 544-product catalog. Deployed on AWS with high availability.
Melanoma Detection Computer Vision Model
PyTorch-based computer vision model for melanoma detection achieving 80% recall. Includes comprehensive model evaluation, validation techniques, and performance optimization.
Dream Journal NLP Analysis
Web scraping and NLP-based analysis of dream narratives, including sentiment analysis, coherence evaluation, and topic modeling. Investigated relationships between dreams and lottery numbers using statistical analysis.
Want to see more projects?
View all on GitHubExperience & Education
My academic and professional journey in the world of data science
Professional Experience
Data Scientist
NETV S.A.
Leading ML projects and architecting production-grade AI systems including semantic search RAG systems and computer vision models.
Key Achievements:
- Architected and deployed production-grade semantic search Agentic RAG system using Gemini LLM
- Developed PyTorch-based computer vision model for melanoma detection (80% recall)
- Optimized large-scale SQL pipelines, reducing report generation time by over 95%
- Led data sub-team through mentorship, code reviews, and daily standups
Freelance ML & Data Developer
LAS MERCEDES
Designed and built custom automated system to reconcile and analyze 500+ monthly POS transactions with secure backend API.
Key Achievements:
- Built end-to-end automated reconciliation system for 500+ monthly transactions
- Developed secure backend API with Flask and full CRUD functionality
- Generated automated reports and dashboards delivering key business insights
Data Analyst & Data Developer
RUSSO SEGUROS
Automated data ingestion processes and maintained PostgreSQL databases for insurance policy and payment data analysis.
Key Achievements:
- Automated insurance policy and payment data ingestion using Python and Selenium
- Maintained and optimized PostgreSQL databases ensuring data integrity and performance
- Built automated reports for financial and operational analysis with key KPIs
- Implemented predictive models for business trend forecasting
Education & Certifications
Master in Data Science (Artificial Intelligence)
University of Buenos Aires
Advanced graduate program focusing on AI, machine learning, and statistical modeling with emphasis on practical applications.
Highlights:
- AI & ML specialization
- Statistical modeling
- Research methodology
Bachelor in Data Science
University of Buenos Aires
Comprehensive undergraduate program combining Mathematics, Computing, and Statistics for data-driven problem solving.
Highlights:
- Mathematics foundation
- Computer Science
- Statistical analysis
English Proficiency (FCE B2)
Cambridge English
Cambridge First Certificate in English demonstrating upper-intermediate English proficiency for professional contexts.
Highlights:
- Business English
- Technical communication
- Academic writing
Let's Connect!
I'm always open to new opportunities, collaborations, or simply a chat about data science. Don't hesitate to reach out!
Looking for a Data Scientist?
I'm available for full-time opportunities, freelance projects, research collaborations, or mentoring. My expertise includes LLM systems, RAG architectures, computer vision, and end-to-end ML development.
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