I'm Mounaim, a data scientist and AI expert with over four years' experience, as well as a full stack developer. GitHub: bmounim I develop end-to-end data science and artificial intelligence tools using Python, and deploy them using Docker, FastAPI, React and Next.js . My strengths are clean coding, rapid learning and problem solving. I have honed these skills through my recent freelance experience, as well as my personal and professional experience. I am fluent in: - Python - Generative AI - Prompt engineering - Fine tuning - FastAPI - Next.js - Dockerisation As as well as other programming languages. I can implement machine learning and general programming in a systematic way. I can also build and deploy artificial intelligence tools on web, desktop or other types of applications. Fun fact: my best typing speed is 124 wpm. I speak English, French and Arabic, and I am always open to good communication. I look forward to building good relationships with my customers.

Senior Data Scientist With 6 years of proven expertise in Machine Learning, Deep Learning, and building end-to-end machine learning solutions. I have a strong track record in delivering impactful data-driven insights and scalable models. Driven by my passion for problem-solving and innovation, I aim to leverage my knowledge, skills, and experience to take on new challenges, continuously advancing my abilities and contributing to the success of the team.

Hi there 🏄🏻‍♀️ Passionate Machine Learning Engineer dedicated to turning data into innovative solutions. Deeply engaged in ML and Data Science and currently advancing skills in Artificial Intelligence Systems at Kharkiv National University of Radio Electronics. Always excited to explore fresh ideas, solve complex challenges, and connect with fellow tech enthusiasts! My Skills 👩🏻‍💻 Data Science: Python, Pandas, NumPy, Scikit-learn, XGBoost, PyTorch, Transformers, Computer Vision, Yolo, RAG, OpenAI API, prompt engineering. Data Visualisation: PowerBI, Tableau, Seaborn, Matplotlib. Databases: MySQL, Postgres, NotionDatabase(NoSQL), FAISS, Weviate. Version Control: Git, GitHub ACHIEVEMENTS 2nd place, Google AI Hackathon, Jun 2025 4th place, Vibecoding Hackhaton by UniverseGroup, Oct 2025 keywords: Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Neural Networks, Natural Language Processing (NLP),Computer Vision, Reinforcement Learning, Supervised Learning, Unsupervised Learning, Semi-Supervised Learning, Transfer Learning, Generative AI, Large Language Models (LLMs), Data Science, Feature Engineering, Model Training, Hyperparameter Tuning, Overfitting & Underfitting, Model Optimization, Explainable AI (XAI), AI Ethics, AI Bias, Fairness in AI, AI Governance, Responsible AI, Prompt Engineering, Zero-shot Prompting, Few-shot Prompting, Chain-of-Thought (CoT), Self-Consistency Prompting, Instruction Tuning, Retrieval-Augmented Generation (RAG), Prompt Optimization, Context Length, System Prompt, Temperature (AI Sampling), Top-k & Top-p Sampling, Token Limit, Embeddings, Fine-tuning, Hallucination (AI-generated misinformation), Prompt Injection, Role-based Prompting, Meta-Prompting, AI-assisted Writing, LLM APIs, OpenAI (GPT, ChatGPT), Google Gemini (formerly Bard), Meta LLaMA, Anthropic Claude, Hugging Face, TensorFlow, PyTorch, LangChain, Vector Databases (e.g., Pinecone, Weaviate, ChromaDB), OpenAI API, PromptFlow, LlamaIndex, Computer Vision, CV, YOLO, Object Detection, CNN

I'm a Data Scientist and Machine Learning Engineer with 5+ years of experience helping SMEs turn messy data, unstructured text, and manual workflows into intelligent, automated systems that drive real business outcomes. My core strength lies in building production-ready ML and NLP solutions, from custom LLM applications and RAG pipelines to fully autonomous AI agents, that don't just work in a notebook but actually perform at scale. I've worked across healthcare, fintech, e-commerce, SaaS, and customer support, and I bring both the technical depth and business thinking to every project. You're probably sitting on thousands of support tickets, internal documents, customer conversations, or operational data that your team processes manually. Leads slip through the cracks, customers wait too long for answers, insights stay buried in spreadsheets, and your competitors are already automating what your team still does by hand. The longer you wait, the more it costs you in time, in errors, and in missed opportunities. 𝐌𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐔𝐦𝐛𝐫𝐞𝐥𝐥𝐚: 1. LLMs & Generative AI: OpenAI API (GPT-4, GPT-3.5), Claude, Gemini API, LangChain, LlamaIndex, RAG Pipelines, Prompt Engineering, Zero-shot & Few-shot Reasoning, In-context Learning, Text-to-SQL 2. Agentic AI: Multi-agent systems, LangGraph, CrewAI, AutoGen, Tool-use & Function Calling, Autonomous Workflow Agents, Memory & Planning Architectures 3. NLP: Named Entity Recognition, Text Classification, Sentiment Analysis, Semantic Search, Vector Embeddings (OpenAI, Sentence-Transformers), Topic Modeling, Summarization, Wav2Vec2.0, Whisper, HuBERT 4. Machine Learning & Deep Learning: CNN, LSTM, Transformer-based Models, Diffusion Models, LoRA/QLoRA Fine-tuning, Ensemble Modeling, Scikit-learn, XGBoost, PyTorch, TensorFlow 5. Data Science & Analytics: Exploratory Data Analysis, Statistical Modeling, A/B Testing, Forecasting, Pandas, NumPy, SQL, Tableau, Power BI 6. MLOps & Deployment: FastAPI, Flask, Streamlit, AWS (Bedrock, EC2, Lambda), CI/CD Pipelines, Apache Airflow, n8n, PostgreSQL, Vector Databases (Pinecone, Weaviate, ChromaDB) I design and deploy AI systems that automate customer support with 90%+ resolution accuracy, build RAG-powered knowledge assistants that cut research time by 10x, deploy autonomous agents that handle multi-step workflows end to end, and turn raw business data into predictive models that drive smarter decisions. My clients don't hire me for the tech. They hire me for the results. That means fewer manual errors, 60 to 80% faster processing, reduced operational costs, and decision-making backed by real-time intelligence. Whether it's an AI agent saving $50K/year in support overhead or an NLP pipeline that replaces 3 full-time analysts, I build solutions where the ROI is obvious within weeks, not months. Every engagement starts with a 𝐅𝐑𝐄𝐄 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 where I assess your data challenge, identify quick wins, and map out a clear roadmap. I deliver production-grade systems with clean documentation, so your team isn't dependent on me forever. 𝗦𝗲𝗻𝗱 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗼𝗿 𝗶𝗻𝘃𝗶𝘁𝗲 𝗺𝗲 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗷𝗼𝗯, 𝗰𝗼𝘀𝘁𝘀 𝘆𝗼𝘂 𝗮𝗯𝘀𝗼𝗹𝘂𝘁𝗲𝗹𝘆 𝗻𝗼𝘁𝗵𝗶𝗻𝗴, 𝗮𝗻𝗱 𝘁𝗵𝗲 𝘄𝗼𝗿𝘀𝘁 𝘁𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝗶𝘀 𝘆𝗼𝘂 𝗱𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗴𝗲𝘁𝘀 𝘆𝗼𝘂𝗿 𝘃𝗶𝘀𝗶𝗼𝗻. Thanks Aneeba A.

I help businesses harness the power of AI to automate processes, enhance customer experiences, and build intelligent systems that deliver measurable results. With expertise in AI agent development, large language models (GPT-4, LangChain), Retrieval-Augmented Generation (RAGs), vector databases, and automation tools like n8n, I design and implement end-to-end AI solutions tailored to business needs. How I Can Help You: ✅ AI Agents & Chatbots: Custom AI agents, conversational bots, GPT-4/ChatGPT integrations ✅ Voice & Multimodal AI: Voice bots, AI-driven interaction systems ✅ Retrieval-Augmented Generation (RAGs): Advanced knowledge systems using vector databases (Pinecone, Weaviate, etc.) ✅ Automation & Orchestration: n8n workflows, AI-driven automations, system integrations ✅ AI Consulting & Prototyping: Strategy, architecture, and rapid development of AI solutions Tech Stack & Tools: AI & LLMs: GPT-4, ChatGPT, OpenAI, LangChain, Stable Diffusion Automation & Workflows: n8n, Make .com, Notion, Airtable, Workflow Optimization Vector Databases: Pinecone, Weaviate, ChromaDB, FAISS Programming & Frameworks: Python, FastAPI, Django, AI-powered applications Cloud & Hosting: AWS, Azure, Serverless AI deployments ✅ Focused on clear communication, business impact, and on-time delivery ✅ Open to both short-term and long-term AI projects

I’m a Machine Learning & Deep Learning Engineer specializing in Computer Vision and NLP, building production-ready systems for image, document, and text automation. I help businesses extract value from images, scanned documents, and unstructured text using reliable ML solutions. With a Computer Science degree, I apply strong software engineering fundamentals to deliver accurate, maintainable ML systems — not just experiments. 🔹What I Can Help You With • Computer Vision – image classification, object detection, visual inspection • OCR & Document Processing – invoices, forms, PDFs, scanned documents • Natural Language Processing (NLP) – text classification, information extraction, text analytics • Deep Learning Models – CNNs, sequence models, attention-based architectures • End-to-End ML Pipelines – data → model → evaluation → deployment 🔹 Relevant Work • Built OCR + NLP pipelines for extracting structured data from documents • Developed computer vision models for real-world image datasets • Implemented NLP models for classification and text extraction • Designed ML pipelines optimized for performance and scalability 🔹TOOLS & TECH Python, NumPy, Pandas Scikit-Learn TensorFlow, PyTorch OpenCV, YOLO CNN architectures NLP pipelines, text preprocessing Model deployment (API-ready)

If you’re looking for an AI engineer who can design LLM and NLP systems that actually work in production, I build intelligent assistants, Chatbots, RAG pipelines and document answering tools that deliver accurate, reliable, enterprise grade results. Clients hire me to turn unstructured text, PDFs and domain knowledge into powerful AI systems that answer questions through grounded context. I’ve built LLM applications for EdTech, healthcare, HR and analytics startups across France, Netherlands and Germany. One client described me as “the best AI engineer I’ve worked with on Upwork” after I rebuilt their deep learning pipeline, fixed data leakage and pushed test accuracy beyond 90 percent. How I can help you: • Custom LLM assistants for your domain • Retrieval Augmented Generation (RAG) systems using your internal documents • Document Q&A pipelines for PDFs, reports, multilingual text and structured outputs • Chatbots for customer support, HR, education or internal workflows • Prompt engineering and evaluation frameworks for consistent results • FastAPI based backends, secure API deployment, and lightweight local LLM setups • Multi agent workflows, vector databases and orchestration with LangChain and LangGraph Tech I work with: Python, LangChain, LangGraph, HuggingFace, OpenAI API, FastAPI, FAISS, Chroma, PyTorch, TensorFlow, Google Cloud, Vertex AI, DeepL, SQLAlchemy Some results I’ve delivered: • Built a RAG system for medical text extraction that improved retrieval accuracy by 40 percent • Developed a multilingual document Q&A bot with memory and structured outputs adopted by analysts • Created an HR assistant with prompt versioning and evaluation tools that reduced response time 60 percent • Delivered AI assistants for educators that automate content review and student response analysis Why clients work with me: • Clean, documented, production ready engineering • Clear communication with both technical and non technical teams • Realistic timelines and solutions grounded in practical deployment • Experience in healthcare, EdTech, HR and enterprise document Let’s get started: Share your problem and a sample of your data. I’ll map out a simple action plan, suggested architecture and timeline so you know exactly how we’ll approach it. Keywords: LLM, NLP, RAG, Chatbot, Document AI, AI Automation, LangChain, LangGraph, Vector Database, Custom AI Assistant, Python, FastAPI, OpenAI.

Certified Machine Learning Engineer | Specializing in Computer Vision and Gen AI Solutions | 6+ Years of Industry Experience | Ex Nokia What I Offer on Upwork: Gen AI Solutions ✅ Voice-Based AI Agent ✅ MCP Server integrations ✅ ChatBots and AI Agents ✅ MultiModal RAG Systems ✅ Fine-Tune LLMs using LORA ✅ Controlled Diffusion Models Computer vision and Deep Learning ✅ 2D/3D Object Detection, Tracking and Segmentation ✅ Real-time video analytics ✅ 3D Reconstruction ✅ Vision Based Surveillance systems ✅ Medical Imaging ✅ Optimized AI inference for edge devices Whether you need a tailored AI solution or guidance on deploying AI at scale, I bring a proven track record of innovation and delivery excellence.

I build production-ready AI systems that solve real business problems. With 6+ years of experience in AI/ML and Python backend engineering, I help startups and companies design, build, and deploy LLM applications, RAG pipelines, agentic workflows, NLP systems, computer vision solutions, and predictive models. My work covers Python, FastAPI, open-source LLMs, OpenAI integrations, vector search, model serving, evaluation, and cost/latency optimization. Core expertise: LLMs, RAG, Agentic AI, Python, FastAPI, NLP, Computer Vision, model deployment, API integrations, and cloud-based AI systems. If you need someone who can turn an AI idea into a reliable production system, let’s talk. Leul A

7+ years building production computer-vision, OCR, edge-AI, and AI backend systems where accuracy, latency, and reliability matter. Typical work includes defect detection, live video/object tracking, on-device model optimization, document/OCR pipelines, OpenAI/RAG integrations, and launch rescue for AI products that need evaluation, observability, and clean API architecture. My strongest fit is a project with real data, a broken or uncertain pipeline, and measurable acceptance targets: accuracy, false positives, latency, edge-device constraints, cost, security, or launch readiness. Core work: - Computer vision / OCR: detection, segmentation, tracking, image analysis, OCR extraction, validation, reviewer workflows - Edge AI: ONNX/TensorRT conversion, model optimization, quantization-aware deployment, mobile/on-device inference - AI backend: OpenAI API, RAG, VLMs, source traces, confidence checks, FastAPI, PostgreSQL - Production delivery: tests, logging, monitoring, cloud deployment, handoff docs I am a good fit when AI output must be accurate, fast enough for production, reviewable, logged, and reliable enough for real business use.