Hire the Best Machine Learning Engineers
in Colombia

=========About Me========= AI and Data Engineer with experience designing and deploying end-to-end data and machine learning pipelines on AWS. Skilled in integrating LLMs, building RAG systems, and optimizing AI workflows for real-world analytics. Passionate about scalable architectures, automation, and data-driven decision-making. Focused on delivering reliable, production-ready AI solutions that enhance business intelligence and operational efficiency. =========Services========= I offer specialized support in data science and machine learning tasks, tailored to individual and business needs. My focus is on delivering actionable insights and robust predictive solutions: Data Analysis & Visualization: Exploratory data analysis (EDA), data cleaning, and visual storytelling using Python. I help you understand your data and make informed decisions through clear, compelling visualizations. Machine Learning Modeling: Development and evaluation of supervised and unsupervised learning models, including classification, regression, and clustering. I assist in model selection, training, validation, and performance analysis. Data Preprocessing: Handling missing data, feature engineering, scaling, and encoding to prepare raw data for modeling. I ensure that datasets are clean and optimized for accurate predictions. Sentiment & Text Analysis: Natural Language Processing (NLP) for extracting insights from text data, including sentiment analysis, keyword extraction, and topic modeling using tools like NLTK and Hugging Face Transformers. Data Pipeline Support: Design and implementation of basic ETL pipelines and automation scripts for data collection and transformation, enhancing the efficiency of data workflows. Model Interpretation & Reporting: Use of metrics like accuracy, F1-score, confusion matrix, and SHAP values to explain model outputs. I provide clear, concise reports to communicate findings to both technical and non-technical audiences.

Hello! This is Stuart. I am an experienced AI and LLM engineer passionate about creating intelligent and conversational AI systems that help businesses engage better with their users. I specialize in building chatbots and virtual asistants powered by the latest LLM models, Vector Embeddings, RAG and advanced NLP techniques. My goal is to design AI solutions that are not only technically robust but also preactical, sclable, and tailored to meet the unique needs of each business. My main skills are: - Custom chatbot and QA system, document analysis automation system development using Langchain, OpenAI, Pinecone, FAISS, Milvus, etc. - Custom object detection, recognition, tracking using YOLO, ByteTrack, etc - Speech processing such as voice clone, TTS, STT. - Image generation using Stable Diffusion Let's work together to brig advanced AI capabilites into your product and create impactful user experiences. Thanks. Best Regards

Hi! I’m Diego, a Computer Engineer with a passion for building intelligent, data-driven solutions. I specialize in machine learning, deep learning, data analysis, and scientific simulations, with hands-on experience using Python and its ecosystem of powerful tools. ✅ What I Can Help You With: Machine Learning & Deep Learning Model training with PyTorch, image classification, multi-task learning, and predictive modeling Data Analysis & Insights Exploratory data analysis, trend detection, and statistical modeling using NumPy, Pandas, and SciPy Scientific Simulations Python-based simulations for physical or experimental processes (e.g., spinodal decomposition, heat transfer), optimized for speed and reliability Results Visualization & Reporting Data storytelling using Matplotlib, and writing technical reports to communicate insights clearly

AI Engineer / Context Engineer and Machine Learning Engineer, with over 6 years of AI experience, specializing in OpenAI, Anthropic, Langgraph, Langsmith, Langchain, Search Engines, Chatbot development, and Python backend services. Expertise in developing LLMs (OpenAI, Claude, Gemini) and generative AI solutions (RAG, AI Agents, Colpali, Routers, Vector Databases, Tool and Function Calling) or integrating them with your web app. AI Engineering: Skilled in designing and developing machine learning and AI solutions, integrated into existing software or developing entire projects from the ground up. Langchain, Llamaindex & Chatbot Development: Experienced in integrating state-of-the-art LLMs like OpenAI's GPT and Anthropic's Claude into chatbots and other customer-facing platforms, along with advanced solutions that require chatting with documents, RAG, AI Agents, and Routers via Langchain, LlamaIndex, or standalone API requests . Python Backend Software Development Services: Proven track record in developing robust, scalable backend services using Python, FastAPI, SQL, and Django. Consulting Services: AI Strategy: Guide on implementing AI solutions within your organization, from concept to deployment. Optimization Consulting: Leverage years of expertise in Operations Research to improve logistics and vehicle route planning efficiency. Data Analysis & Insights: Offer data-driven insights and custom analytics services to enable informed business decisions. Custom Development: Develop algorithms and software solutions tailored to your unique business challenges.

STOP. Do not hire a "Digital Marketer" to fix your data infrastructure. If you are reading this, you likely have "Dirty Data." Your ROAS doesn't match your bank account, your GTM is a mess of broken triggers, and you suspect you are bleeding budget on "Zombie Campaigns." I am a Technical Marketing Science Partner specializing in Forensic Data Audits. I don't "guess" at your tracking problems. I use proprietary Python automation and Google Ads Scripts to audit your account with a level of depth that manual analysis cannot match. Who I Help: I partner specifically with Boutique Performance Agencies and High-Volume Advertisers who need to trust their numbers again. My "Revenue-Tracking Recovery" Scope: I offer a specialized, fixed-price forensic sprint to clean your data ecosystem: Forensic Auditing: I extract data via API to find discrepancies between Ad Spend and backend Revenue (identifying wasted spend). Server-Side Tracking (GTM/GA4): Implementing robust tracking (CAPI) that survives iOS14+ and ad blockers. Automated Anomaly Detection: Scripts that alert you when tracking breaks (so you don't find out 30 days later). The "Truth" Dashboard: Building Looker Studio reports that reflect actual profit, stripped of vanity metrics. Why Me? The Trifecta: Financial Rigor: Former Citibank. I treat your data like a bank balance. Zero-error tolerance. Engineering: I code in Python to automate complex data tasks. Strategy: Former Publicis. I understand the Media Buying pressure you are under. Technical Stack: Platforms: Google Ads, GA4, Google Tag Manager (Web & Server), Facebook CAPI. Engineering: Python (Pandas/NumPy), Google Apps Script, BigQuery, Looker Studio. Engagement Model: I work on a Fixed-Price Basis (The Recovery Sprint). I am not looking for hourly "maintenance" work. I come in, I fix the engine, I verify the data, and I hand you the keys. If you want a "Yes Man" to install a plugin, hire a junior. If you want a Forensic Auditor to protect your P&L, invite me to the job.

🚀 About Me I’m Daniel Lizarazo, AI & Backend Engineer with hands-on experience building, deploying, and maintaining production-grade intelligent systems. My work focuses on transforming machine learning models into reliable, scalable, and efficient solutions that operate in real-world environments. I specialize in end-to-end AI system development, combining applied machine learning, backend engineering, and cloud infrastructure to support complex, AI-driven workflows. 💡 What I Do • Design and develop scalable APIs and backend services for data- and AI-intensive systems • Integrate machine learning and LLM-based components into production pipelines • Build modular execution engines with hierarchical dependencies and parallel execution • Develop and deploy MVPs, including preprocessing, feature extraction, and ML-based analysis • Optimize system performance across CPU, memory, latency, and AI token usage • Deploy, maintain, and operate cloud-based environments, including GCP • Ensure long-term maintainability, reliability, and performance of production codebases 🧠 Domain Experience • Applied machine learning in production environments • AI systems supporting complex decision-making pipelines • EEG and biomedical signal analysis for neuroscience-related applications • Backend architectures designed for scalability and continuous iteration 🌍 Languages Spanish — Native English — B2 (Intermediate–Advanced) 📞 How I Can Help • End-to-end AI system development • Backend architecture and optimization for ML-driven products • Cloud deployment and infrastructure maintenance • EEG signal analysis and neuroscience-focused AI solutions