Multi-Disciplinary Engineer | ML Systems • Physical Systems • Project Leadership
Multi-disciplinary engineer with 20+ years building systems across machine learning, construction, materials science, and biomedical engineering. Experience spans from production ML pipelines processing financial data to small crew residential and commercial construction and maintenance, chemistry lab operations, and medical device development.
Available for consulting, partnerships, and contract work in ML systems, construction technology, and technical project leadership—both in the US and internationally (Israel, Africa, Caribbean).
Production ML pipelines for financial data, reinforcement learning for trading, time-series modeling, statistical validation frameworks, and feature engineering services.
Small crew residential and commercial construction and maintenance, hands-on project management under tight budget constraints, subcontractor coordination, regulatory compliance, and quality control.
Chem/bio laboratory setup for innovation center clients, R&D for medical devices and chemical products, reverse engineering, product failure analysis, and contract research proposals.
Medical device development, cardiac modeling, image processing, regulatory compliance (FDA pathways), and research publication in cardiovascular systems.
Production-grade reinforcement learning system for algorithmic trading.
Technical Achievement: Processed 7,876 ticks/second with sub-100ms latency. Achieved 60% memory reduction through optimized state representation. Implemented full ML lifecycle including experiment tracking, model versioning, and deployment infrastructure.
Hybrid deep learning + gradient boosting research on forex market microstructure.
Methodology: Temporal Convolutional Network Autoencoder (TCNAE) for feature extraction combined with LightGBM for prediction. Trained on 224,000 samples across 24 currency pairs. Rigorous out-of-time validation with honest reporting of null results (50.1% accuracy on holdout).
Research Value: Demonstrated importance of honest performance reporting in financial ML and limitations of pattern recognition in efficient markets.
Genetic algorithm-based trading system using neuroevolution of augmenting topologies (NEAT).
Implementation: Evolved neural network architectures for trading decision-making. Integration with OANDA API for live market data and order execution. Population-based training with fitness evaluation on out-of-sample data.
Progressive Web App for equidistant letter sequence (ELS) analysis in biblical texts.
Features: Hebrew text processing, configurable skip intervals, pattern visualization, and statistical significance testing. Offline-capable PWA with responsive design for mobile and desktop.
Trading strategy performance evaluation tool based on Dr. Van Tharp's framework.
Purpose: Statistical analysis of trading system performance including expectancy calculation, risk-reward ratios, and Monte Carlo simulation for drawdown estimation.
Israeli traffic violation consulting website with automated form processing.
Implementation: Bilingual (Hebrew/English) interface, automated document generation, client case management, and integration with Israeli legal frameworks.
Company: Anitani LLC / Zbaida LLC | Location: New Jersey (2002–2024)
Scope: Small crew residential construction, commercial maintenance, and renovation projects under tight budget constraints. Licensed contractor in Middlesex County, NJ with responsibility for contract preparation, permits, inspections, direct crew management, subcontractor coordination, cost control, quality control, and regulatory compliance.
Key Achievements:
Experience: Commercial renovations, tenant improvements, and specialty construction for business facilities. Coordination with architects, engineers, and building owners on design-build projects.
Technical Skills: Blueprint reading, structural assessment, MEP systems integration, accessibility compliance (ADA), and commercial building codes.
Role: Project Engineer | Nes Ziona, Israel (2014-2016)
Responsibilities: Set up chem/bio laboratories for startup innovation center clients. Developed time-tracking application for scientific research projects. Conducted R&D across multiple domains.
R&D Projects:
Institution: Rutgers University Biomedical Engineering Department
Research Focus: Mathematical modeling of cardiac muscle mechanics, specifically series elastic fiber damage in stunned myocardium. Developed computational models and conducted experimental validation.
Publication: Zbaida, A., et al. "Series Elastic Fiber Damage in Stunned Myocardium." American Journal of Hypertension, v. 13, p. 51A, (2000).
Senior Project: Developed Java-based image processing library for medical imaging applications. Implemented algorithms for enhancement, segmentation, and feature extraction from biomedical images.
Period: 2020–Present | Location: Remote
Production ML systems for algorithmic trading and quantitative finance. Built reinforcement learning pipeline processing 7,876 ticks/sec; conducted research on market predictability with honest reporting of null results.
Period: 2017–2020 | Location: Los Angeles, CA
Led development of quantitative trading platform integrating ML models with event-driven architecture (Kafka/ksqlDB). Developed expectancy calculator for strategy performance evaluation. Managed team of contract developers.
Period: 2002–2024 | Company: Anitani LLC / Zbaida LLC | Location: New Jersey
Licensed contractor in Middlesex County, NJ managing residential renovation projects, property maintenance operations, and small-scale design/build work. Hands-on project management under tight budget constraints, contract preparation, permits, inspections, subcontractor coordination, and regulatory compliance.
Period: 2007–2008 | Location: Los Angeles, CA
Led 8-person development team. Oversaw SaaS platform migration and financial software development.
Period: 2014–2016 | Location: Nes Ziona, Israel
Set up chem/bio laboratories for startup innovation center clients. Developed time-tracking application for scientific research projects. Conducted R&D for medical devices, chemical indicators for personal hygiene products, novel dental reconstruction materials, reverse engineering, and product failure analysis.
Period: 2004–2017
Algorithmic trading systems development and statistical modeling. Genetic algorithms and machine learning for financial markets.
B.S. Biomedical Engineering – Rutgers University, 2001
Senior project: Image processing library in Java | Research: Mathematical modeling of cardiac muscle contractility
Construction Management Certificate – Middlesex County College
Coursework: Project planning, scheduling, cost control, safety, blueprint reading, construction methods
Zbaida, A., et al. "Series Elastic Fiber Damage in Stunned Myocardium." American Journal of Hypertension, v. 13, p. 51A, (2000).
Available for consulting, contract work, partnerships, and full-time opportunities across multiple domains:
Machine Learning: Financial ML systems, time-series modeling, production ML pipelines, algorithm development
Construction & Engineering: Project management, technical leadership, construction technology, systems integration
International Projects: Experienced working in US, Israel, and open to opportunities in Africa and Caribbean regions
Contact: roni762583@gmail.com | +1 (302) 648-2641
Email: roni762583@gmail.com
Phone: +1 (302) 648-2641
LinkedIn: linkedin.com/in/aharonzbaida
GitHub: github.com/roni762583