Hire the Best Data Scientists
in Israel

Professional English-to-Hebrew translator and linguist specializing in LLM evaluation, RLHF, and high-quality data annotation. I leverage a strong analytical background (Industrial Engineering) and years of experience as a Mathematics educator to ensure technical precision, logical consistency, and cultural authenticity in machine-generated content. Whether it's refining complex datasets, localization, or educational content development, I deliver meticulous results rooted in deep linguistic mastery and an analytical approach to language.

Senior AI & Machine Learning Scientist with 10+ years of experience building and deploying data-driven systems. Expertise in diverse data modalities including text (GenAI, NLP), time series, and structured tabular data. Specializing in anomaly detection, predictive modeling, and reinforcement learning. Experienced leading large projects in collaboration with multiple development teams. Leads end-to-end ML projects from R&D to production on cloud, edge, and on-premise infrastructure.

I design and ship production ML systems end to end. BSc CS and MSc in AI & Autonomous Systems. I have led 15+ projects from first call to deployment.I specialize in time-series forecasting and in building retrieval-augmented generation (RAG) pipelines and agentic workflows that connect LLMs to your data, tools, and APIs, with guardrails, evaluation, and fallbacks. I also fine-tune YOLO for object detection and set up efficient data annotation pipelines. I write clean, robust, fully documented code. What I deliver: ✔ Data pipelines and ETL, schema design, validation ✔ Exploratory analysis, modeling and deep learning, experiment tracking, backtesting ✔ Retrieval pipelines & agent orchestration (tool use, planning, memory, evaluation) ✔ Backend APIs with FastAPI/Flask, integrations and webhooks ✔ Dashboards, reporting, and monitoring ✔ CI/CD, containers, on-prem or cloud deployment Core domains: 📈 Time Series & Signals – forecasting, anomaly detection, signal processing (filtering, feature extraction), and custom ETL pipelines 🖼️ Computer Vision – classification, detection, segmentation 🧠 LLMs/NLP – fine-tuning, prompt engineering, RAG, agentic tool use & orchestration (function calling, planning, memory), application integration 🧩 Full-Stack Engineering – Backend APIs, dashboards, and real-time data interfaces ⚙️ Deployment – Cloud-native (AWS, GCP), on-premise servers, and CI/CD pipelines Tech I work with: 🔹 ML/LLMs: PyTorch, scikit-learn, OpenCV, YOLO fine-tuning; LangChain/LangGraph, LLM APIs (OpenAI/Claude) and open-source models, MLflow. 🔹 Backend & Auth: Python (FastAPI/Flask), Node.js, REST APIs & Webhooks, Auth0 (OAuth2/JWT). 🔹 Data & Parsing: PostgreSQL, MySQL, JSON/CSV/Parquet, document processors for PDF/XLSX, scheduled ETL. 🔹 Frontend & Apps: Streamlit, React, interactive dashboards and admin tools. 🔹 Integrations & Protocols: HTTP, FTP/SFTP for file transfer, RTSP for CCTV, automated emailing with Python. 🔹 Infra: Docker, AWS/GCP, CI/CD and monitoring. I’ve worked with international teams in chemical manufacturing, agriculture, and healthcare. Open to short or long-term engagements as a Data Scientist, ML/AI Engineer, or Software Developer. Let’s build something impactful together.

I specialize in turning complex backend systems into stable, scalable production infrastructure. I’m a Backend & Cloud architect (12+ years) with hands-on experience in DevOps, applied AI/LLM, high-load APIs and Databases in live production web environments. Hand-on: Architecture → Implementation → Deployment → Stability → Scale Comfortable starting from scratch or diving into existing codebases across the stack. Projects I delivered: ▸Building backend & cloud for high-impact web platforms ▸Applying AI/LLM in real-world backend platforms (RAG pipelines, workflows, logic) ▸Deep DevOps work — CI/CD, observability, scalability, and cloud cost ▸Productionize PoC / Scaling MVP ▸Stabilizing critical systems ▸Consulting on system architecture, structure, and ownership ▸Developing and deploying systems in live environments ▸Reinforcing teams under delivery or tight timelines ▸Validating ideas and tech-stack Contact me to discuss your project and how I can contribute. TECH Stack: ▪ Backend — Python · FastAPI · Pydantic · Node.js · PHP · Microservices · Event-Driven Architectures · Proxies · Scrapers · Batch Scripts ▪ Cloud — AWS · Lambda · Lambda@Edge · API Gateway · SQS/SNS · ECS · EC2 · Auto Scaling · VPC · NAT · CloudFront · Elastic Beanstalk · DigitalOcean · Docker · CUDA Docker Containers ▪ DevOps — Custom CI/CD Pipelines · team-aligned · culture-driven · AWS CDK · IaC · Deployment Automation · Canary Deployments · proxy-based · Lambda@Edge · routing & load balancer policies · Release Workflows ▪ Observability — CloudWatch · X-Ray · Grafana · Elastic Stack · OpenSearch / Kibana ▪ Data — PostgreSQL · MySQL · DynamoDB · Redis · Neo4j · Milvus ▪ Analytics & BI — Athena · Superset · QuickSight · Elastic Stack ▪ Performance — NGINX · Apache · Linux HTTP Server Configuration · Reverse Proxies · Advanced Caching Layers · source-level · server-level · CDN-integrated · CloudFront · Cloudflare ▪ Applied AI/LLM — Integrations · Agents · RAG Pipelines · Deterministic AI · Workflows · Logic ▪ Frontend — React · Vue · Streamlit

Software engineer with 7+ years experience solving complex technical challenges in distributed systems and ML optimization. I transform complex systems into efficient solutions through: - Advanced distributed architecture with custom container orchestration - ML pipeline optimization and performance tuning - C++ optimization with SIMD for high-performance applications - Cloud infrastructure design with AWS My background combines deep technical skills with business impact - I don't just write code, I deliver measurable results. Software Engineer, Datatailr (2024-present) - Reverse-engineered 60k-line cloud-agnostic PaaS system, transforming undocumented code into operational distributed workflow platform - Implemented SLURM integration with autoscaling capabilities for heterogeneous environments - Developed distributed service architecture with custom nginx proxies and RAFT-based KV store - Technologies: C++, AWS, SLURM, Nginx, Docker, Python Data Scientist, Stealth Startup (2024) - Developed containerized ML pipelines that drastically reduced hypothesis testing time - Created advanced sensor fusion algorithms for time-series data enabling premium features - Technologies: Python, PyTorch Lightning, AWS, Docker, WandB Senior Software Engineer, Alma Technologies (2023) - Migrated complex signal processing algorithms from Python to C++ with SIMD optimization - Developed solution outperforming industry-standard hardware while reducing calibration time - Optimized ML inference for various hardware configurations - Technologies: C++, Python, PyTorch, TFLite, Signal processing Founder & CTO, AIS-S (2017-2022) - Led technical teams and oversaw project delivery for government and commercial clients - Engineered CatBoost-driven financial scoring tool for credit risk assessment - Developed centralized document management system for Federal Antimonopoly Agency - Technologies: Python, Django, Elasticsearch, CatBoost, PostgreSQL

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 😁