🚀 AI/ML Engineer | Cybersecurity | Product-Minded Technologist

I build and operationalize intelligent systems that connect machine learning, security, and business impact.
I’m especially interested in how applied AI can strengthen cybersecurity, automate analysis, and improve decision-making.

• 🎓 M.S. in Computer Science (AI/ML) — Georgia Institute of Technology
• 🎓 B.S. in Cognitive Science / Computer Science — UCLA
  • Coursework at UCLA Anderson School of Management (Finance & Strategy)
• 🌍 Born in Tel Aviv, raised in California — bridging Israeli innovation with global markets
• 🗣️ Speak English (native), Hebrew, Portuguese, Russian, Spanish, Farsi, and Italian
• 💬 Passionate about AI-driven cybersecurity, intelligent automation, and international tech ecosystems

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Autonomous phishing-detection system powered by Claude 4 + MCP, Gmail API, VirusTotal, and n8n orchestration.
Uses an AI agent to autonomously analyze, triage, and classify sophisticated phishing emails in real time.

Analyzed 100,000 tweets on climate change using BERT for multilingual sentiment classification.
Revealed polarization in climate discourse through data cleaning, tokenization, and visualization.

Classified water as potable vs. non-potable using Decision Trees and Random Forests on Kaggle data.
Compared imputation and balancing techniques to identify key chemical predictors of potability.

Simulated 1M Blackjack games to find optimal hit strategies via Monte Carlo methods in Python.
Visualized player/dealer distributions and found hitting on 15–16 yields the most balanced win rates.

AI/ML Engineer and product-minded technologist with experience across machine learning, data engineering, and full-stack development in startups, enterprise environments, and research labs. I design and build systems that turn data into intelligent, scalable products.

I’ve helped teams integrate advanced AI models, automate data workflows, and deploy ML-driven features used in real-world applications. My work bridges technical depth with business impact — from developing ML pipelines to collaborating with product and engineering teams on AI solutions.

Highlights

• Built and deployed end-to-end ML and data pipelines in Python, AWS, and n8n
• Integrated foundation models (Claude, Whisper) for automation and speech analysis
• Led applied ML efforts in cybersecurity, mobility, and telecommunications
• Delivered projects combining machine learning, cloud systems, and data visualization
• Managing cross-functional collaboration between engineering, product, and data teams to deploy ML-driven features
• Building and optimizing real-time ETL, data visualization, and model evaluation pipelines
• Contributing to projects spanning cybersecurity, telecommunications, mobility, and biomedical research