I am a Data Scientist and AI Automation Engineer with 4+ years of freelancing experience building end-to-end data and AI solutions. I specialize in web data extraction, ETL pipelines, AI-powered automation, and interactive analytics dashboards that help businesses transform raw data into actionable insights. I have developed scalable scraping systems using Python (BeautifulSoup, Selenium, Scrapy), built ETL pipelines integrating MySQL and AWS data infrastructure, and created interactive dashboards using Dash and Tableau for real-time analytics. My recent work also includes building LLM-powered applications such as Retrieval-Augmented Generation (RAG) systems, AI chatbots, and document analysis pipelines using LangChain and modern LLM APIs. Previously, I worked for 9.5 years as an Automation Engineer with global companies such as Baker Hughes and Honeywell, where I developed strong skills in engineering systems, problem-solving, and delivering reliable solutions for industrial clients.

I am the Founder and AI Architect of an applied AI consultancy (Vantablan) where we design and deploy production grade machine learning systems that actually run in real environments. I personally lead the technical architecture and delivery, and we have over 4 years of hands on experience building computer vision and generative AI systems across sports analytics, healthcare, e commerce, and SaaS products. Our work is end to end. We take ownership from problem definition to deployment and long term stability. On the computer vision side, we build full pipelines around object detection, instance segmentation, pose estimation, and identity recognition. These systems run on live video streams and real world inputs, not research demos. I design the core model architecture and inference logic, while we optimize pipelines using PyTorch based models, YOLO style detectors, OpenCV, and modular deployment stacks focused on speed and reliability. In generative AI, we work on LLM fine tuning, controlled generation systems, and diffusion based pipelines used for automation, internal tooling, and content workflows. I stay closely involved in prompt design, evaluation logic, and model selection to ensure outputs are predictable and usable in production. We do not build demo chatbots. We build systems that plug directly into products. Beyond modeling, we own the AI infrastructure. I handle system design while we implement training pipelines, CI CD workflows, containerized deployments, and monitoring across AWS, GCP, and Azure so models ship cleanly and remain stable after launch. I also bring a strong research background with published work in deep learning and reinforcement learning, which informs our design decisions when rigor is required. Still, our priority is simple. Build systems that work, scale, and deliver measurable outcomes. Clients work with us when they need a team that can own the AI side of their product, make architectural calls, and deliver without hand holding.

I'm Jack, and I transform your AI ideas into functioning deployed AI tools with real ROI. I'm a former professor of AI with over 12 years of experience deploying AI solutions in industry, and 5 years of experience in AI consulting. I specialize in computer vision, custom LLM agents, and healthcare AI, although I'm comfortable working in any AI sub-domain. With over a dozen AI tools created and deployed, I know how to successfully develop AI projects in a variety of circumstances - from ideation and PoC to deployment and continuous monitoring. I’ve worked as both a lead developer and project manager, ensuring clear communication and efficient execution at every stage. I am highly adaptable and comfortable working with data across any industry. I have experience deploying on cloud platforms such as AWS, GCP, and Snowflake, as well as on local/edge compute resources. Key Highlights: ✔ 12+ years of experience in AI & ML ✔ Python ML specialist with deep expertise in model development & deployment ✔ End-to-end AI solutions – from idea to PoC to production & monitoring ✔ LLM / GenAI – RAG, fine tuning, prompt engineering, embedding, custom agents ✔ Computer vision expertise – 2D imaging, 3D imaging, video analysis ✔ Strong background in healthcare & alternative imaging modalities (X-ray, ultrasound, infrared, etc.)

Hello 👋 I’m Marlon — a senior-level AI developer, machine learning architect, and founder of Starbourne Labs. I specialize in building and scaling real-world, production-grade AI systems — from advanced LLM-powered agents to GPU-optimized infrastructure and real-time ML pipelines. 🚀 RESULTS • Delivered 20+ AI/ML products, helping founders raise over $30 million in VC funding • Scaled Merciv.ai to $3M+ ARR using multi-tenant LLM microservices with sub-300ms latency • Built a GPT-4o support agent at Form Labs handling over 2 million messages per month • Deployed LLM chatbots serving 50,000+ users across 12 industries • Reduced inference costs by 70% using quantization (QLoRA, INT8, AWQ) and serverless GPU orchestration • Boosted agent accuracy by 40% with better tool-use, memory routing, and embedding optimization 🤖 LLM Chatbots & Agentic Systems • GPT-4o, Claude 3 Opus, Gemini 1.5, Llama 3, Mistral • LangGraph, LangChain, AutoGen, CrewAI, OpenAI Tools • Tool use, function calling, memory, persona control, ReAct workflows • RAG pipelines with pgvector, Qdrant, Pinecone, Weaviate • API-integrated agents with autonomous task chaining and multi-step reasoning ⚙️ Full-Stack AI Platforms • Python, Go, TypeScript, React, Next.js, FastAPI, Flask • REST, gRPC, GraphQL microservices • PostgreSQL, MongoDB, Neo4j, Redis • Edge deployment via Docker, Kubernetes, RunPod, Modal, Beam.cloud 🧠 Machine Learning & MLOps • MLflow, DVC, Ray, Kubeflow, Airflow, ArgoCD • End-to-end CI/CD for model training, tuning, testing, and deployment • Serverless GPU pipelines with Triton, ONNX Runtime, DeepSpeed • Multi-model orchestration with autoscaling and cost-aware inference 🔍 Model Engineering & Optimization • Time-series: LSTM, TFT, DeepAR for forecasting and anomaly detection • NLP with GPT-4o, Claude, Gemini, Llama 3 + instruction tuning • Fine-tuning: LoRA, QLoRA, DPO, PEFT, Functionary • Evaluation using Promptfoo, Trulens, Helm for agent scoring and regression • Embedding-based search, classification, clustering, and content tagging 💼 Real-World Use Cases Delivered • Autonomous AI agents for research, documentation, and scheduling • Multimodal copilots (text + vision/audio) using OpenAI Vision, Whisper, LLaVA • Fintech AI for real-time fraud detection, credit scoring, and forecasting • Healthcare agents for intake triage, clinical summarization, and document routing • AI copilots for product QA, internal tools, legal review, and CX automation ✅ WHY HIRE ME 1. Deep technical expertise in today’s most powerful LLMs and ML tools 2. AI-native product mindset — optimized for impact, cost, and user experience 3. MVPs delivered in 6–8 weeks with my proven Starbourne Accelerator 4. Infrastructure built to scale — fast, modular, GPU-ready 5. Clear communication, async-first workflows, and sprint-based delivery 📞 NEXT STEP Click “Invite to Job” or book a quick 15-minute discovery call. Let’s build and launch your AI solution — fast, scalable, and production-ready.

I design and deploy production-grade AI systems: from data pipelines to scalable LLM applications. With 7+ years in ML/AI, I specialize in LLM systems, RAG architectures, and MLOps, helping teams move from prototype to reliable, scalable AI in production. My focus is not just building models but ensuring they perform under real-world constraints: latency, cost, hallucination control, and continuous improvement. What I build -End-to-end ML pipelines: ingestion, training, deployment, monitoring -RAG systems with proper evaluation harnesses (retrieval quality, regression catching) -LLM observability: prompt versioning, tracing, feedback loops -Scalable inference (real-time and batch) with GPU optimization -CI/CD for ML with MLflow, Airflow, automated retraining -AI agents with guardrails and reliable tool use Selected results -Fraud detection pipeline (real-time inference) → ~$890K in losses prevented -Forecasting system using ensemble models → 31% accuracy lift over baseline -Multiple LLM products running in production under client SLAs -$3M+ in measurable business impact across deployments (happy to walk through specifics on a call) Stack -Languages/frameworks: Python, FastAPI -LLMs: OpenAI, Anthropic, HuggingFace, LangChain, LlamaIndex -Vector DBs: Pinecone, Weaviate, ChromaDB, FAISS -Infra: AWS, Docker, Supabase, MLflow, Airflow How I work -Replies in 0–4 hours on business days -Production-grade code with tests and docs, not throwaway notebooks -Clear scope, direct communication, focused on business outcomes -Revenue, automation, speed-to-market — that's the scoreboard Let's turn your AI idea into a working product. Send an invite with your project details and I'll get back to you with a clear plan.

I've successfully built and launched over 30 SaaS apps and over 15 AI based products in the last 4 years. I personally have a lot of hands-on experience with: - Development of AI and Generative AI Apps & SaaS products - Mobile Apps Development, many of the apps I built are on App Store and Play store - Web Apps and Website development, having worked with many startups, SMEs and enterprises 🏢 - Certified AWS Cloud Specialist 👨🏻‍💻 - Chrome extensions development for productivity tools - working with Startups to build their MVPs that can help them raise funding - working with Enterprises and corporations to help improve their existing processes with the help of automation, cloud infrastructure deployment and internal tools development Having worked independently and successfully as a freelancer for many years, I planned to build a team of my own back in 2021, and as of this writing, 4 years later, we have grown to a team of 50+ highly talented, highly skilled, proficient, and hardworking team members. The company is called RipeSeed, and you can find it in my profile as well. Over the course of 4 years: - Many of our team members have received Top Rated Plus badge 🥇 - I received Expert Vetter badge 🎖️ - RipeSeed, my agency, received Expert Vetter badge 🎖️ 🌏 Our client base so far has primarily been from US, UK, Australia, UAE, Saudi Arabia, Germany and a few other European countries, but we are open to work with anyone from anywhere in the world who needs our help. 💯 I have been involved in either working directly or managing over 200 projects and I am always open to trying out new and exciting technologies. 🎙 I love talking tech. So I am always available for free consultancy sessions if you wanna see if you idea is worth investing in, how much of time and cost effort will be required from your side Our team has skills in the following technologies and we'd love to help anyone who might need any of the following services: 🤖 Generative AI: GPT-3.5, GPT-4, GPT-4o, Langchain, Pinecone, Llama 3, Llama 3.1, Embeddings, Fine Tuning, Chunking, Sementic Chunking, Spacey 👨🏻‍💻 Web: React, NextJS, JavaScript, NodeJS, NestJS, ExpressJS, Full Stack Development, Frontend Development, Backend Development, Python, Django, Flask 📱 Mobile Apps: React Native, Android, iOS, Flutter, Cross Platform, App Store, Play Store, Publishing applications 🎛 Chrome extensions: Chrome Manifest 3, Chrome Manifest 2, JavaScript, React, Popup plugin, embedding elements into web pages 🌩 AWS & GCP: Cloud Native, EC2, Elastic Beanstalk, CloudFormation, AWS Amplify, Serverless Framework, AWS Cognito, AWS IAM, Rekognition, S3, Config, Elastic Load Balancer Drop me a message and I'd love to chat.

Building LLM-powered products or generative AI systems? I specialize in LLMs, RAG, and image generation (GANs, Diffusion, NeRFs). What I deliver: - Built AI products for YCombinator startups and Fortune 500 companies - Delivered production ML systems in San Francisco, London, and Madrid - 10+ years in AI/ML, from cutting-edge research to production Specialties: LLMs & Language: RAG systems, fine-tuning, prompt engineering, chatbots Generative Vision: GANs, Stable Diffusion, image-to-image translation, NeRFs Production: End-to-end ML pipelines, from data to deployed API Stack: PyTorch, TensorFlow, Hugging Face, Langchain, Diffusers, Docker, AWS/GCP Credentials: Ph.D. in AI | MBA | Expert-Vetted (Top 1% on Upwork) Let's discuss your project - message me to start.

🚀 Senior AI/ML Engineer | LLMs, Agentic AI, RAG Systems | Python + React + Node (Claude, GPT, Llama, Deep Seek) I build production-grade AI systems — the kind that don't just demo well, but actually run in production with real users, real data, and real stakes. From LMS platforms with AI-generated curriculum, to CRMs where every module is AI-first, to a mobile app that simulates a person's face and voice from childhood to old age — I've shipped the full spectrum of what's possible with today's models. If you have an idea that sounds "a bit ambitious," that's usually where I do my best work. What sets me apart: ✅ 9+ years across AI/ML, backend, and full-stack engineering ✅ Hands-on with every major model ecosystem — OpenAI, Anthropic Claude, Google Vertex, AWS Bedrock, LLaMA, Stable Diffusion ✅ Agentic AI specialist — multi-agent systems, tool-use, RAG, context-aware chatbots ✅ Startup-tested — I've architected from zero for early-stage founders and scaled systems for high-growth teams ✅ No hand-waving — I ship clean, documented, production code and hit deadlines ✅ Comfortable owning the whole stack: research → architecture → code → deployment → iteration 🧠 AI / ML Stack 🔹 LLMs & Generative AI — GPT-4o, Claude 3.7, LLaMA 4, Gemini, Claude Code, Cursor/Windsurf workflows 🔹 Agentic AI — conversational agents, dialogue systems, multimodal agents, voice-enabled bots 🔹 RAG & Vector Systems — embeddings, vectorization, VectorDBs, semantic retrieval pipelines 🔹 Image/Video/Audio Generation — DALL-E, Midjourney, Stable Diffusion, ElevenLabs, HeyGen 🔹 Automation & Orchestration — n8n, Make, custom agentic workflows 🔹 ML Frameworks — TensorFlow, PyTorch, Scikit-learn, Azure AI SDKs 🔹 ML Techniques — Classification, Regression, Clustering, Recommendation Systems, Time Series, Predictive Modeling, Gradient Boosted Trees, Random Forests, NLP, A/B Testing 💻 Engineering Stack 🔹 Languages — Python, JavaScript/TypeScript, Node.js, React.js, Next.js 🔹 Backend — Flask, Django, Flask-RESTful, REST APIs, GraphQL, SQLAlchemy 🔹 Databases — MongoDB, MySQL, AWS RDS, Elasticsearch, S3, HDFS 🔹 Cloud & DevOps — AWS (Lambda, EBS, EMR, S3, RDS), Docker, Linux (RHEL/CentOS/Ubuntu) 🔹 Distributed Systems — Parallel Computing, MapReduce, Open MPI, OpenMP 🔹 Tools — Git, SVN, WandB, Plotly, BeautifulSoup, Eclipse 🛠 Recent Projects 🔸 AI-Powered LMS Platform — course curation, AI-generated content, automated curriculum paths 🔸 AI-Native CRM — every module powered by LLMs: lead scoring, auto-drafting, pipeline intelligence, conversational search 🔸 Life Simulation Mobile App — generates photorealistic imagery and video of a user aging from childhood to old age using multimodal AI 🔸 Custom RAG + Agentic Chatbots — for domains ranging from customer support to internal knowledge retrieval How I work: I don't cut corners. I ask the questions most developers skip — what happens when this scales? what does this cost per user? where will it break? — and I build accordingly. Code quality, documentation, and clean architecture aren't nice-to-haves for me; they're the default. If you're building something AI-first and want a partner who can translate a vague idea into a shipped product — and push back when something isn't going to work — send me a message. Share your brief, a rough concept, or even a problem you're stuck on. I'll reply with a clear, opinionated next step. Keywords: Artificial Intelligence, Machine Learning, LLM, Large Language Models, GPT, Claude , Anthropic Claude, LLaMA, OpenAI API, AWS Bedrock, Google Vertex AI, Agentic AI, AI Agents, Multi-Agent Systems, RAG, Retrieval-Augmented Generation, Vector Database, Vectorization, Embeddings, Conversational AI, Chatbot Development, Context-Aware Chatbots, Multimodal AI, Voice AI, NLP, Natural Language Processing, Python, Flask, Django, Node.js, React.js, Next.js, TensorFlow, PyTorch, Scikit-learn, MongoDB, MySQL, AWS, AWS Lambda, Docker, Elasticsearch, GraphQL, Stable Diffusion, DALL-E, Midjourney, ElevenLabs, HeyGen, n8n, Make, Automated workflow, LLM prompt engineering, Cursor AI, Claude Code, AI Automation, AI Integration, Solution Architecture, Predictive Analytics, Recommendation Systems, Time Series Analysis, Startup MVP, AI Product Development

𝐈 𝐭𝐮𝐫𝐧 𝐫𝐨𝐮𝐠𝐡 𝐀𝐈 / 𝐒𝐚𝐚𝐒 𝐢𝐝𝐞𝐚𝐬 𝐢𝐧𝐭𝐨 𝐫𝐞𝐚𝐥, 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬. I’m 𝐉𝐚𝐭𝐢𝐧 - an AI/SaaS architect and full-stack developer. Most clients come to me when they have an idea, messy workflow, existing product, or AI feature and need someone who can turn it into a clean, scalable system. 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐛𝐞𝐬𝐭 :- ================================================= • AI agents, RAG chatbots, GPT/OpenAI/Claude integrations • SaaS MVPs from idea to launch-ready product • n8n, Make .com, API, CRM, and workflow automation • React, Node JS, Python, FastAPI, Flutter apps • IoT dashboards, admin panels, and data platforms • AI features inside existing web or mobile products • Technical architecture when the idea is still unclear 𝐑𝐞𝐜𝐞𝐧𝐭 𝐰𝐨𝐫𝐤 𝐈’𝐯𝐞 𝐡𝐚𝐧𝐝𝐥𝐞𝐝 :- =============================== • Predictive maintenance AI system • Smart energy optimization model • Cloud-based IoT building dashboard • AI personalization / intro engine • SaaS planning and product architecture • Legacy Access system converted into web/mobile UX I’m not the person you hire just to blindly follow tickets. I’m the person you bring in when you need someone who can understand the product, think through the architecture, suggest better options, and still build hands-on. 𝐇𝐨𝐰 𝐈 𝐮𝐬𝐮𝐚𝐥𝐥𝐲 𝐰𝐨𝐫𝐤 :- ============================== ~ First, I understand the real goal. ~ Then I break the product into the smallest useful version. ~ After that, I build clean foundations so you don’t need to rebuild everything later. I keep communication simple, decisions practical, and development focused on what actually helps the business. 𝐈𝐟 𝐲𝐨𝐮’𝐫𝐞 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 :- ================================ AI tool, SaaS MVP, automation system, RAG chatbot, dashboard, mobile app, or internal business platform - invite me to your job and I’ll suggest the most practical first step. 𝐉𝐚𝐭𝐢𝐧 𝐊𝐚𝐩𝐨𝐨𝐫 Senior Developer | AI/ML | SaaS | Full-Stack Ex-Microsoft | Ex-Deloitte | 12+ Years Experience

In today's competitive landscape, your business is generating more data—both visual and text—than ever before. The critical question is: Is this data an untapped goldmine for growth, or a costly, untapped resource? Many businesses are leaving significant money and insights on the table by relying on slow, error-prone manual processes. Artificial Intelligence is no longer a buzzword for tech giants; it is the fundamental tool that separates market leaders from the rest, whether through understanding images or text. As a Top-Rated Upwork Talent with 7+ years of experience, I don't just deliver code; I deliver business solutions. My goal is to become your strategic partner, understanding your unique challenges and deploying the right technology to solve them. My specialty is building intelligent systems that turn your operational challenges into competitive advantages. I help businesses like yours leverage AI to: • Slash Operational Costs with Computer Vision: Are your employees spending hours on repetitive tasks like quality checks or data entry from images? I build automation systems using Python, OpenCV, and YOLO that execute these tasks 24/7, freeing up your team and drastically reducing operational costs. • Unlock Insights from Text with Generative AI: Are you struggling to answer customer queries efficiently or make sense of vast internal documents? I build advanced RAG (Retrieval-Augmented Generation) systems and AI agents using LangChain, CrewAI, and APIs from OpenAI & Gemini. These solutions can power intelligent chatbots or internal knowledge bases that provide instant, accurate answers from your own data. • Drive Unprecedented Efficiency: Imagine processing thousands of documents or images with near-perfect accuracy in minutes. As the solo founder of an AI platform that served over 10,000 answers in its first week, I have proven experience building and scaling production-grade AI applications that deliver real-world performance. Your next big competitive advantage is waiting to be unlocked from your data. I'm passionate about helping businesses discover it. Send me a message about your goals, and let's brainstorm a few practical AI strategies that could fuel your growth. I'm excited to explore the possibilities with you.