Hire the Best Machine Learning Engineers
in Israel

Data scientist | AI engineer I have background in Physics (Bs.c) and years of experience building custom ML models, from time series forecasting to LLM-based solutions. i have experience with RAG, fine tunings llms,Agents and multi agent systems,model evaluation, solving complex problems in tabular data, especially classification problems,building projects from scratrch to production, with different types of data. Key Highlights Algorithm Developer Experience: Delivered real-time fall detection solutions and improved product recognition systems using Random Forest, CNN-LSTM, ARIMA, and more. Time Series & Forecasting: Created peak shaving algorithms, survival analysis modules, and electricity consumption predictions, boosting efficiency and reliability. NLP & LLMs: Built chatbots with RAG (Retrieval-Augmented Generation), developed a private language tutor bot, and integrated advanced voice cloning techniques for Arabic speech. Broad Tech Stack: Skilled in Python, PyTorch, Keras, Sklearn, AWS/GCP, SQL, big data handling, and orchestration of multi-agent systems. Whether you need time series modeling, LLM integration,tabular data, or end-to-end ML pipelines, I’m ready to bring advanced data-driven insights to your project. Let’s collaborate to build solutions that are robust, scalable, and impactful for your business. Employment History & Key Achievements Freelance Data Scientist – Gracefall (Jul 2024 – Sep 2024) • Led the research and implementation of a real-time fall detection solution for elder care. • Developed a time series classification model using Random Forest and advanced system identification techniques, achieving 97% accuracy. Algorithm Developer – Shekel Brainweigh (2022 – 2024) • Created a “zero learning” solution to derive product weights from scratch using unsupervised learning, reinforcement learning, and supervised methods. • Designed an error recognition algorithm using Random Forest and hypothesis testing that reached over 96% overall accuracy. • Enhanced system stability by adapting algorithms to new hardware and performing comprehensive model fitting. Algorithm Developer – Mprest (2018 – 2022) • Developed time series forecasting models for electricity consumption with CNN-LSTM, SVM, and ARIMA to optimize predictions. • Engineered a peak shaving algorithm for smart grid optimization and reduced energy costs. • Implemented survival analysis models to proactively detect undersea cable failures. Project Highlights MathBot: Built a Q&A chatbot for university math material using RAG (Retrieval-Augmented Generation) with a custom knowledge graph. Multi-Agent LLM Collaboration: Created a multi-agent system where large language models collaborate to develop web applications. Climate Change Forecasting: Benchmarked machine learning and deep learning models against traditional physical models to predict climate trends. NLP in Social Networks: Applied topic modeling (LDA) to analyze social media posts by Israeli politicians, extracting actionable insights. PlanTrip: Developed a global trip planning app integrating Google APIs, NLP, and Flask for seamless server-side integration. Neural Voice Cloning: Implemented advanced deep learning techniques (using models like DeepVoice3) for Arabic voice cloning. Technical Skills Programming & Libraries: Python, PyTorch, Keras, Sklearn, Pandas, Numpy ML/AI Techniques: Time Series Forecasting, LLMs, RAG, CNN-LSTM, ARIMA, Reinforcement Learning Cloud & Data Management: AWS, GCP, SQL, BigQuery, MySQL, Cassandra Other: Model Evaluation, Multi-Agent Systems, Real-Time System Deployment

MOST AI AND BI INITIATIVES FAIL because the underlying data foundation is broken. I am an Expert-Vetted Principal Architect (Top 1%) and 15x US Patent Holder who builds "Agentic" data foundations. I specialize in turning multi-source chaos into a Single Source of Truth that doesn't just report data, it reasons over it. My latest build, AgentMaestro, achieved 97% accuracy in the volatile Miami Real Estate market by replacing legacy "Black Box" ML with a "Two-Brain" Reasoning Architecture. I HELP AMBITIOUS ORGANIZATIONS SOLVE THREE CRITICAL PROBLEMS: 1. COST & LATENCY: I re-engineer legacy warehouses using Dataform and modern ELT logic to reduce cloud bills by 30%+ while achieving sub-2-second dashboard latency. 2. DATA INTEGRITY & ATTRIBUTION: I unify fragmented silos (Shopify, Meta, CRM, GTM/CAPI) into high-integrity Customer Data Platforms (CDP) to provide 100% visibility into ROI and Attribution. 3. REASONING-AS-A-SERVICE (RaaS): I move beyond simple "predictive modeling" into Agentic AI. I deploy LLM-driven reasoning engines (Vertex AI) that provide "Glass Box" audit trails for high-stakes decision-making. THE "MAESTRO" DIFFERENCE: I am not a "task-taker." I am a strategic partner who owns the entire data lifecycle. I design the proprietary logic that ensures your data is an asset, not a liability. Let's connect to architect your Single Source of Truth. CERTIFICATIONS - Google Cloud Professional Data Engineer - Google Cloud Professional Machine Learning Engineer - Google Data Analytics Professional - Google Business Intelligence Professional SKILLS Cloud Platforms: - Google Cloud Platform (GCP) Data Warehousing & Big Data: - BigQuery - BigLake - PostgreSQL - MySQL - SqlServer Data Modeling: - Dataform - dbt Machine Learning & AI: - BigQueryML - Vertex AI - TensorFlow - H2O - Caret - Scikit-learn - ML Model Development & Deployment Business Intelligence & Visualization: - Looker - Looker Studio - Google Sheets - Apache Superset - Airtable Programming Languages: - SQL - R - Python Data Engineering ELT & ETL: - Dataflow - Cloud Pub/Sub - Data Pipelines - Dataform - Cloud Functions. Ecommerce Platforms: - Shopify Data Science: - Predictive Analytics - Customer Segmentation - Data Mining - Statistical Analysis - RFM Analysis - Contribution Analysis - LTV - Time series forecasting - Recommender Systems

Nice to meet you😁 My name is Nitay, a freelancer with one main wish: to elevate your application by integrating cutting-edge AI. Since starting as a data scientist, these last years I trained ML models in various fields, especially: • NLP (Text classification, NER) • Computer Vision and Image Processing (Object detection/segmentation, Image classification, Image generation) • Generative AI (Fine-tuning LLMs, RAG, Prompt Engineering, Chatbots) ~ What Skills Do I Hold? ~ 1. ML/DL tools: PyTorch, Scikit-Learn 2. NLP: LangChain, Peft, Huggingface 3. Data Analysis/Visualization Tools: Pandas, NumPy, Matplotlib, Seaborn 4. Databases: MongoDB, MySQL 5. Project Management and Version Control: Git, GitHub 6. Languages: Python, C++ ~ Why Should You Hire Me? ~ 🏅1+ years of experience 🏅5k+ Earned on Upwork 🏅100+ Jobs on Upwork 🏅Great Sense of Humor 🏅10+ Upwork Hours I guarantee well-performing ML models with clean code, a professional attitude, and deadline commitment. Conclusion: you got to the right place 😁

✅Web Development Expertise: Dimitry brings over 10+ years of experience in full-stack web development, specializing in Ruby on Rails and React.js. Proficient in backend Ruby on Rails and front-end React.js, Stimulus.js, and seamless PSD to HTML conversions. Strong UI/UX design skills using Figma, Sketch, and Adobe XD ensure top-notch design implementation. ✅Snowflake Expertise: Dimitry has extensive experience in setting up and configuring Snowflake environments, optimizing performance, and managing data operations, including data migration, scaling, and disaster recovery. ✅Collaborative Solutions: Together, our combined skills aim to provide comprehensive solutions integrating AI seamlessly with robust web development.