I'm a Top Rated freelancer and Computer Science graduate who works at the intersection of three fields most people treat separately: Statistics & Machine Learning, Bioinformatics, and AI. That combination is exactly what messy, high-dimensional data needs — the statistical rigor to trust the result, the ML to find the pattern, and the biological context to know what it means. With 3+ years of experience and 24 successful projects (4.98/5 avg. rating), here's what I bring: 📊 Statistics & Machine Learning Rigorous statistical inference and predictive modeling — hypothesis testing, causal inference (Mendelian Randomization), feature engineering, and ensemble models (XGBoost, LightGBM, Random Forest). I don't just build models that score well; I build models you can defend. Example: a coronary artery disease prediction model reaching 0.956 AUC, with feature ablation to prove what actually drives it. 🧬 Bioinformatics & Omics End-to-end analysis of complex biological data — scRNA-seq, RNA-seq, WGS/WES — using reproducible pipelines (Nextflow, Snakemake). From raw reads to normalized matrices to differential expression and biomarker discovery. Example: cut analysis time by 40% on large genomic projects through custom automated pipelines. 🤖 AI & Deep Learning Deep learning frameworks for real diagnostic problems — computer vision, medical image analysis, NLP, and LLM-based tools. ✨ What ties it together Most freelancers do one of these. I connect them — applying AI and ML to biological and clinical data with statistical discipline, then communicating the findings in publication-ready visuals that both scientists and stakeholders can act on. 🛠️ Tech Stack Python (Pandas, Scikit-learn, TensorFlow, PyTorch) · R (Tidyverse, Bioconductor) · Bash · SQL · Linux · Git · Docker · Cloud 💡 Ready to turn your raw data into discoveries you can trust? Let's talk.

Profession Data science Engineer with over 7 years of experience in different institutes, research bodies and others. My process to work on data science projects is client-centered and based on consultation and suggestive discussions. I will handle any data science project at every stage from research, dataset selection, sampling, dataset evaluation, model building and training, model tuning, and result in visualizations to Flask based Restful API development. My process to complete projects: 1. Briefing / Discussions 2. Research 3. Concept Building 4. Prototyping 5. Model Building 6. Model Testing 7. Reporting Results 8. Revisions 9. Delivery I focus on the best client experience, all the while balancing the needs of clients to create the best intelligent machine learning or deep learning models as well as frameworks. I deal with all types of data science projects using both machine learning and deep learning.  Machine Learning (Python, MATLAB)  Deep Learning (Python, MATLAB)  Digital Image Analysis (Python, MATLAB)  Image Processing (Python, MATLAB)  Medical Image Analysis (Python, MATLAB)  Steganography and Steganalysis (Python, MATLAB)  Flask API Development (Python)  API Deployment (Python, Google Cloud Run, Amazon EC2, Heroku) I am a pro in MATLAB, Python, Tensorflow, KERAS, Scikit Learn, matplotlib etc. I have tremendous experience of successful data science projects for small agencies and enterprises. In my work, I do my best to meet my clients’ expectations and deadlines. I look forward to discussing your project together! Highlighted Skills Programming: Python, MATLAB, C, JAVA, C++ Frameworks: Google COLAB, Kaggle, Jupyter Notebook, Jupyter LAB, PyCharm, VS Code Process: Machine Learning and Deep Learning Models

Machine Learning Engineer with solid expertise in Python programming, Artificial Neural Networks, Convolutional Neural Networks, Natural Language Processing, and Computer Vision. I work extensively with Large Language Models (LLMs), prompt engineering, and AI agents, combining deep learning techniques with real-world applications across vision and language. Passionate about building scalable, intelligent systems that bridge the gap between perception and reasoning.

𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐂𝐮𝐬𝐭𝐨𝐦 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 & 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 | 𝐏𝐲𝐭𝐡𝐨𝐧 | 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 | Looking for someone who actually builds working AI tools and not just demos? I create real AI systems that are fast, reliable, and ready to launch. If you need an AI Agent, a Retrieval-Augmented Generation (RAG) workflow, or a full backend for your AI-powered app, I can help you go from concept to live product and complete with vector search, memory, and automation. 𝐓𝐞𝐜𝐡 𝐈 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡: ✔ LangChain, OpenAI, Claude, Mistral, Llama 3 ✔ FAISS, Pinecone, ChromaDB, Supabase ✔ FastAPI, Python, Node.js ✔ Multi-agent logic, prompt engineering, tool calling 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐈 𝐁𝐮𝐢𝐥𝐝: ✔ AI Assistants that can search and understand your internal data ✔ RAG pipelines with live web search, long-term memory & filters ✔ Python-based APIs that power chat, data retrieval, and workflows ✔ Full-stack AI tools with clean React/Next.js frontends 𝐑𝐞𝐜𝐞𝐧𝐭 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬: ✔ AI customer support assistant for a SaaS platform, with memory and chat analytics ✔ Company knowledge bot trained on 800+ documents and SOPs ✔ End-to-end AI search system for a medical data portal ✔ Chatbot with Google Search + PDF + Notion integration 𝐖𝐡𝐚𝐭 𝐈 𝐎𝐟𝐟𝐞𝐫: ✔ Custom Chatbots (internal tools, customer support, knowledgebase) ✔ RAG Pipelines (PDF QA, document search, web-enhanced responses) ✔ AI Backend Services (FastAPI / Node / Supabase) ✔ AI Agents + Workflow Automation ✔ Complete AI Product Development (from backend to deployment) 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤: ✔ Clear planning from Day 1 ✔ Fast delivery cycles with regular updates and demos ✔ Clean, tested and production ready code ✔ You launch a smart AI product that actually works 📩 Let’s chat if you’re ready to bring your AI idea to life with clean code, solid logic, and real-world results. #AIEngineering #PythonDev #ChatbotDeveloper #LangChainExpert #RAG #AIProduct #OpenAI #LLM #BackendEngineer #Automation

Machine Learning Engineer with 5+ years of experience building and deploying production-grade ML & Computer Vision systems, with a strong focus on mobile and real-world applications 📱. I specialize in end-to-end ML development — from data preparation and model training to cloud deployment and on-device optimization ⚙️☁️. 🧠 Tech Stack 🧩 Machine Learning & Deep Learning PyTorch • TensorFlow • TensorFlow Lite • ONNX • OpenVINO 👁️ Computer Vision OCR • Object Detection • Semantic Segmentation • Facial Landmarks • Head Pose Estimation OpenCV • Dlib 🚀 MLOps & Deployment GCP • Vertex AI • Docker • FastAPI • Kubernetes (Flyte) MLflow • Neptune.ai • Git • GitLab CI/CD 💻 Programming Python • C++ • Lua 🗣️ NLP & LLMs Hugging Face • LangChain • NLTK

🚀 Top Rated Plus 🔥 100% Job Success ✅ 48 Jobs · 2,791+ Hours 💼 $200K+ Earned I’m Marcelo, a Senior Systems Engineer from Argentina focused on building practical AI-powered software systems. I work with Python, FastAPI, Flask, Docker, AWS/Azure, MongoDB, SQL, vector databases, LLMs, RAG pipelines, agentic workflows, NLP, and machine learning. What I do best: 🧠 LLMs, RAG & Agents • Custom LLM applications using OpenAI, Claude, Gemini, Llama, and local models • RAG systems with vector databases and structured data • Agentic workflows with tools, memory, routing, and multi-step execution • Custom chatbots for documents, websites, knowledge bases, and internal tools ⚙️ AI Engineering & Full Stack • Python APIs with FastAPI / Flask • Full-stack AI applications, dashboards, and integrations • Dockerized, production-ready deployments • AWS / Azure environments • MongoDB, MySQL, SQLite, and vector databases 📚 NLP & Machine Learning • NER, classification, sentiment analysis, summarization, and text extraction • Large-scale document processing and semantic search • Classification, regression, time-series forecasting, and LSTM models 🧰 AI-Assisted Development I actively use Claude Code, GitHub Copilot, and similar tools to accelerate development, refactor safely, generate tests, and improve code quality — always with senior engineering control over architecture and implementation. How I work: • Clean and maintainable code • Clear communication • Realistic estimates • Production mindset • No hype, no fake claims If you need someone who understands both AI and real software engineering, I’d be happy to discuss your project. Marcelo

🚀𝗔𝗜 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥 | 𝗟𝗟𝗠 𝗦𝗬𝗦𝗧𝗘𝗠𝗦, 𝗥𝗔𝗚 𝗣𝗜𝗣𝗘𝗟𝗜𝗡𝗘𝗦, 𝗔𝗜 𝗔𝗚𝗘𝗡𝗧𝗦🚀 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝘄𝗼𝗿𝗸 𝗶𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻. 𝗡𝗼𝘁 𝗱𝗲𝗺𝗼𝘀. 𝗡𝗼𝘁 𝗽𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲𝘀 𝗵𝗮𝗻𝗱𝗲𝗱 𝗼𝗳𝗳 𝗮𝘁 𝘁𝗵𝗲 𝗳𝗶𝗻𝗶𝘀𝗵 𝗹𝗶𝗻𝗲. 𝗔𝗰𝘁𝘂𝗮𝗹 𝗱𝗲𝗽𝗹𝗼𝘆𝗲𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗵𝗮𝗻𝗱𝗹𝗶𝗻𝗴 𝗿𝗲𝗮𝗹 𝘁𝗿𝗮𝗳𝗳𝗶𝗰, 𝗿𝗲𝗮𝗹 𝗱𝗮𝘁𝗮, 𝗮𝗻𝗱 𝗿𝗲𝗮𝗹 𝗰𝗼𝗻𝘀𝗲𝗾𝘂𝗲𝗻𝗰𝗲𝘀. Most of my work sits at the intersection of language models and enterprise data: RAG pipelines that retrieve the right information fast, agents that execute workflows without constant hand-holding, and chatbots that resolve queries instead of bouncing them back to a human. Before taking on independent contracts, I built AI systems in production environments across FinTech, Healthcare, SaaS, and Legal Tech. The numbers I reference below come from those deployments: ✔ RAG system handling 1M+ monthly queries with sub-100ms retrieval latency ✔ Chatbot resolving 70-82% of support requests without human escalation ✔ Hybrid vector retrieval improving document search accuracy by 50%+ ✔ Fraud detection model reaching 87%+ precision in live financial transactions ✔ Vector search deployed across 47M+ records at production scale 𝗠𝘆 𝗨𝗽𝘄𝗼𝗿𝗸 𝗵𝗶𝘀𝘁𝗼𝗿𝘆 𝗶𝘀 𝗻𝗲𝘄𝗲𝗿, 𝗯𝘂𝘁 𝘁𝗵𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗱𝗶𝘀𝗰𝗶𝗽𝗹𝗶𝗻𝗲 𝗯𝗲𝗵𝗶𝗻𝗱 𝘁𝗵𝗼𝘀𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝗶𝘀 𝘄𝗵𝗮𝘁 𝗜 𝗯𝗿𝗶𝗻𝗴 𝘁𝗼 𝗲𝘃𝗲𝗿𝘆 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗵𝗲𝗿𝗲. What I Build 🧠 𝗟𝗟𝗠 𝗮𝗻𝗱 𝗥𝗔𝗚 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Retrieval-Augmented Generation pipelines Knowledge assistants and enterprise search Vector databases and hybrid retrieval (dense + sparse) Fine-tuned models for domain-specific tasks Context management and prompt architecture 🤖 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗮𝗻𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Autonomous agents and multi-agent orchestration Workflow automation with tool-using LLMs LangGraph and CrewAI multi-step pipelines AI copilots and productivity assistants Background job agents with monitoring and fallback 💬 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗜 Multi-turn chatbots with persistent memory Customer support automation with escalation logic HR screening and recruitment AI Knowledge base assistants and FAQ resolution 🖥 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗔𝗜 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 AI SaaS platforms and dashboards Backend APIs for AI systems (FastAPI, Django) Cloud deployment, scaling, and monitoring Analytics and observability for AI workloads 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 LLMs: GPT-4 / GPT-4o, Claude 3.5, LLaMA 3, Mistral / Mixtral, Gemini AI Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI Vector Databases: Pinecone, Weaviate, Qdrant, pgvector, ChromaDB Backend: Python, FastAPI, Django, Node.js, REST APIs, GraphQL Cloud: AWS, GCP, Azure, Docker, Kubernetes, Terraform Certifications: Recommenders and Reinforcement Learning (DeepLearning.AI / Stanford), Advanced Learning Algorithms (DeepLearning.AI / Stanford), Supervised Machine Learning (DeepLearning.AI / Stanford), Vector Search Certified Professional (Oracle), Generative AI Certified Professional (Oracle) Industries: Healthcare, FinTech, HR Tech, SaaS, Legal Tech, E-commerce 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 ✔ Production-grade systems, not experimental builds ✔ Architecture-first: scalability and reliability are decisions made at the start, not the end ✔ I ask the questions that prevent expensive redesigns three months in ✔ Clean code, documented deployments, and clear handoffs ✔ I've seen what breaks at scale. I build around it from day one. If you're building an AI product, LLM platform, or intelligent automation system and need someone who's shipped this stuff in production before, let's talk through your requirements.

* Expert Vetted talent in Upwork with 100% job success rate. * I am looking for long term work in solving problems with Machine Learning solution. * I have been working on Machine Learning for over 5 years. * My area of expertise in Machine Learning area are: Computer Vision and NLP. * My live projects include: 'Detect Products of Super-market shelves', 'Detect sharp objects from x-ray image', various Image classification models like to classify inside/outside House, Shoes(of different materiel), 'Text classification' of various articles. * I have also worked on stock forecasting LSTM model using stock data and sentiment data. * I have a certification from Udacity in "Self Driving Car Engineer" Nano Degree

Research, development and consulting in projects involving Artificial Intelligence, Neural networks, Statistics, Computer vision, Signal and Image processing, Operation research, and Algorithm design. Ph.D. in Computer Science and Applied Mathematics

𝐒𝐞𝐧𝐢𝐨𝐫 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐀𝐈 𝐒𝐚𝐚𝐒 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 | 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 | 𝐀𝐈 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐄𝐱𝐩𝐞𝐫𝐭 (𝐧𝟖𝐧, 𝐌𝐚𝐤𝐞 𝐜𝐨𝐦, 𝐙𝐚𝐩𝐢𝐞𝐫, 𝐆𝐇𝐋) I design and build production-grade AI systems, SaaS platforms, and automation solutions that help businesses scale, reduce manual work, and launch real AI-powered products not prototypes or demos. If you're building an AI SaaS product, LLM application, AI automation system, or AI voice agent, you don’t need another API integrator you need a system architect who can design for reliability, scale, and real-world usage. I am a Senior AI/ML Engineer and Full Stack Python Developer with 14+ years of experience building AI products, SaaS platforms, LLM systems, RAG pipelines, and automation infrastructures in production environments. 𝐌𝐲 𝐟𝐨𝐜𝐮𝐬 𝐢𝐬 𝐬𝐢𝐦𝐩𝐥𝐞: 𝐓𝐮𝐫𝐧 𝐢𝐝𝐞𝐚𝐬 𝐢𝐧𝐭𝐨 𝐟𝐮𝐥𝐥𝐲 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐬𝐜𝐚𝐥𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐫𝐞𝐚𝐥 𝐰𝐨𝐫𝐥𝐝. 🚀 What I Build:- a) AI SaaS & Full Stack Web Applications: I design and build complete AI-powered SaaS platforms and web applications from the ground up. This includes everything from intuitive user interfaces to scalable backend systems, APIs, databases, and deployment architecture. I work with modern technologies like React, Next.js, TypeScript, Node.js, Python, FastAPI, Django, and the MERN stack to deliver solutions that are secure, scalable, and ready for real users. Whether you're building an AI SaaS product, CRM platform, marketplace, internal business tool, or startup MVP, I help you turn your idea into a fully functional product that can scale with your business. b) AI Agents & RAG Systems: I build intelligent AI systems that don’t just respond to prompts—they can reason, plan, and execute tasks. These systems are designed to handle real workflows end-to-end, not just generate text responses. Using frameworks like LangChain, AutoGen, CrewAI, and LlamaIndex, I develop: autonomous AI agents multi-step reasoning systems retrieval-augmented generation (RAG) pipelines with memory tool-using AI systems MCP (Model Context Protocol) integrations c) LLM Integration & AI Engineering: I integrate advanced language models such as OpenAI GPT-4o, Claude, and Gemini into real-world applications and business systems. The goal is simple: AI systems that work consistently and reliably in production. My focus is on building AI features that are reliable, production-ready, and optimized for scale, including: real-time streaming responses for smooth user experience proper rate limit and error handling fallback and recovery mechanisms evaluation and testing pipelines scalable deployment architecture d) AI Automation (n8n / Make / Zapier / GHL): I build end-to-end automation systems that help businesses eliminate manual work and streamline operations. Using tools like n8n, Make com, Zapier, and GoHighLevel, I automate: sales and lead management workflows CRM and customer journey automation internal business processes marketing and outreach systems AI-powered decision workflows e) No-Code to Scalable Code Migration: If your product was built on platforms like Bubble, Webflow, FlutterFlow, Replit, or Base44 and has started hitting limitations, I help you migrate it into a scalable, production-grade system. I rebuild your application using modern frameworks like Next.js and robust backend architectures while preserving your existing functionality. At the same time, I upgrade your system for: better performance stronger security long-term scalability clean maintainable architecture Why clients pick me: Most developers integrate an API and call it done. I architect the full system proper error handling, rate limit management, monitoring so it still works when 500 real users hit it, not just in the demo. **Tech Stack** Frontend: React · Next.js · TypeScript · Tailwind CSS · Redux Backend: Node.js · Express · Python · FastAPI · Django · Laravel · GraphQL · REST APIs Database: MongoDB · PostgreSQL · MySQL · Redis · Prisma · Supabase · Firebase AI: OpenAI GPT-4o · Claude API · Gemini · LangChain · AutoGen · CrewAI · LlamaIndex · Pinecone · Weaviate · Hugging Face · Ollama · Claude Code · Vertex AI Automation: n8n · Make com · Zapier · MCP · Webhooks DevOps: AWS · Vercel · Docker · GitHub Actions · CI/CD · Linux VPS **Industries: Fintech · Health tech · B2B SaaS · Marketplace · E-commerce · On-demand · EdTech · Logistics · Legal tech · HR tech · Real estate tech · Travel tech · CRM platforms · Internal tools Got an existing app that needs fixing, scaling, or AI added? I handle that too. If you're looking for an AI Engineer, AI SaaS Architect, or Full Stack Python Developer, I can help you design and build a production-ready AI system that actually scales in the real world. 📩 Message me first tell me what you're building and what's blocking you.