I take on AI projects that others find too complex — end-to-end systems where the challenge isn't just the model, but making everything work together at scale. If the problem is hard, that's where I do my best work. Over the years I have architected and delivered full-cycle AI systems covering deep learning, LLMs, computer vision, NLP, MLOps infrastructure, and cloud-native deployments. I don't just build models — I build systems that work reliably at scale. I am the right fit if your project involves a complex AI system that needs to be built right, not just fast, multiple moving parts such as data pipelines, model training, APIs, and deployment that need to work together seamlessly, a challenging problem where off-the-shelf solutions fall short, or long-term thinking around performance, cost, and maintainability. My core expertise spans deep learning and LLMs including transformer models, BERT/GPT fine-tuning, and RAG pipelines using PyTorch, TensorFlow, and JAX. I work extensively in computer vision with YOLO, R-CNN, and Vision Transformers, as well as NLP, semantic search, and conversational AI powered by vector databases like Pinecone and Milvus. On the infrastructure side, I build end-to-end MLOps pipelines using Kubeflow, MLflow, and DVC, with CI/CD for models via GitHub Actions and GitLab, and monitoring through Prometheus and Grafana. I deploy across AWS SageMaker, Azure ML, and Google Vertex AI using Docker and Kubernetes, with a strong focus on cost-optimized GPU and TPU workloads. I also have deep experience in data engineering with ETL pipelines, feature stores, real-time streaming using Spark and Flink, and warehousing on Snowflake and BigQuery. For AI-powered APIs and SaaS products, I work with FastAPI, Node.js, Redis, PostgreSQL, and MongoDB. Additional expertise includes reinforcement learning, diffusion models, GANs, federated learning, model quantization, edge AI with TensorFlow Lite and CoreML, and AI explainability using SHAP and LIME. I bring strong communication, clean documentation, and a consistent track record of delivering complex AI projects on time. If you have a challenging end-to-end AI project, I would love to hear about it.

Results-driven Software Engineer currently pursuing a dual State Engineer and Master’s degree in AI & Data Science at ESTIN. With over 10 custom applications developed as a freelance developer, I have increased client operations by up to 30% through tailored solutions for diverse industries, such as clothing stores and barbershops. Proficient in technologies including Flutter, React, and Go, I have built complex full-stack applications like a Zoom clone and cinema system. Fluent in Arabic, English, and French, I bring a multicultural approach to problem-solving. Certified in Google Cloud and Docker, with a commitment to continuous learning and delivering impactful digital solutions.

🧭 **I design and build agentic systems that survive production — observable, evaluable, and maintainable by your team after I leave.** 🏅 **Expert-Vetted | 100 % Job Success | Physics PhD, $90K+ earned. Recent: VIVIA (real-estate multi-agent platform, WhatsApp + voice + CRM) and a Neo4j-backed RAG pipeline rated ★5.0 Agents fail where teams don't look: prompt fragility, silent regressions, untraced failures, no fallback paths. That's the first thing I plan for. 🏗️ **Architectural scope I cover** - Multi-agent orchestration with LangGraph — explicit state machines, checkpointing, human-in-the-loop - GraphRAG on Neo4j — entity resolution, hybrid retrieval, explainable reasoning paths - Agent evals & observability — LangSmith / custom tracing, regression suites, cost dashboards - Production deploys — vLLM / Docker / Kubernetes, load-balanced inference, fallbacks across providers - Integration layer — WhatsApp, Twilio voice, CRM APIs, MCP servers, webhook resilience 🔬 **Background** PhD in Physics + years as a quantitative researcher. I treat agent behavior as a measurable system — I run experiments, log everything, and challenge claims that don't come with numbers. ✅ **Recent work** - **VIVIA** — Multi-agent real-estate platform: channel-agnostic core, per-agency scoping, lead follow-up sync, voice calls, CRM integration. Led modular refactor from monolith to clean separation of concerns. - **LLM/VLM fine-tuning & deployment** — custom load-balanced GPU platform, $10K+, ★5.0. - **AI Compliance system** — LLM guardrails, evaluation harness, and audit trail for regulated-industry workflows (i.e., full traceability). - **Neo4j calendar-event ingester** — production graph pipeline, ★5.0. 🛠️ **Stack** LangGraph · LangChain · LlamaIndex · Neo4j · Qdrant/Pinecone · Supabase · vLLM · FastAPI · Python/Cython/C++ · Docker · Twilio · MCP · WhatsApp/Notion SDKs If you're scoping an agent or RAG system and want someone who'll push back on the architecture before writing code — **let's talk.** 📬

🏆 Top 3% Freelancer on Upwork | AI, Data, and Automation Specialist Hi I'm Marco 👋 I'm a Python developer with over 4 years of hands-on experience building AI systems, automation workflows, and data-driven applications for clients across multiple industries. 🌍 I speak: English, French, Spanish, and Portuguese. 🤖 I use: Cursor, Claude, Hermes Agent. ⭐ Highlights ↳ Developed 5+ MVPs that successfully secured funding. ↳ Completed 45+ Upwork contracts with a 100% Job Success Score. ↳ Built and currently maintain scalable data pipelines for 3+ companies. ↳ Built production-ready Retrieval-Augmented Generation (RAG) systems using modern LLM frameworks and vector databases. ↳ Trained 4+ founders and teams on implementing AI agents. ↳ Configured and deployed Hermes Agent workflows for multiple companies, following security and scalability best practices. ↳ Built custom automation systems powered by LLMs and generative AI for content creation, including avatar videos, images, and social media workflows. ↳ Built 30+ web scrapers on Apify. 🧠 Skills & Tools ↳ AI & RAG Systems: LangGraph, LangChain, OpenAI, ChromaDB, Pinecone. ↳ Hermes Agent: setup, debugging, create custom AI Workflows, Skill integration, Gbrain, MCPs, security best practices. ↳ Automation & Scraping: Playwright, BeautifulSoup, Apify (Actors), Camoufox. ↳ Data Science & ML: Pandas, NumPy, Scikit-Learn, PyCaret, TensorFlow, MMM (Marketing Mix Model), NLP, Optuna. ↳ Dashboards & Visualization: Plotly Dash and Data Studio. ↳ Web Development: FastAPI, Flask, CSS, HTML, Jinja2, Vibe-coding. 🚀 Side Projects ↳ Social Media Automation with Hermes Agent Built 3 custom AI workflows with 7+ integrated skills to automatically generate and publish avatar videos, infographics, and articles on X. ↳ AI Assistant (RAG) for Crypto & Blockchain News Developed a RAG system that continuously ingests, embeds, and retrieves content from multiple crypto and blockchain news sources. ↳ Web3 Analytics Dashboard (Hackathon Winner – €5k Prize) Won a hackathon challenge by building an interactive Plotly dashboard to visualize tokenized assets and blockchain analytics. ↳ AI-Generated Illustrated Books Pipeline Created an end-to-end content generation pipeline that automatically produces illustrated books using generative AI, from story generation to image creation and final assembly. ↳ Enterprise Data Pipelines & Reporting Built and maintained data pipelines connecting APIs, databases, and web scraping systems to analytics dashboards and automated reporting workflows. If you're looking for someone who can build AI applications, automate business processes, develop scalable data systems, or turn an idea into a working product, let's talk. 🤝

⭐𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤 | 𝟓𝟎+ 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 |💲𝟮𝟬𝐊 𝗢𝗻 𝗢𝘁𝗵𝗲𝗿 𝗙𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝐈 𝐡𝐞𝐥𝐩 𝐟𝐨𝐮𝐧𝐝𝐞𝐫𝐬, 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬, 𝐚𝐧𝐝 𝐚𝐠𝐞𝐧𝐜𝐢𝐞𝐬 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚-𝐝𝐫𝐢𝐯𝐞𝐧 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐟𝐫𝐨𝐦 𝐬𝐦𝐚𝐫𝐭 𝐜𝐡𝐚𝐭𝐛𝐨𝐭𝐬 𝐚𝐧𝐝 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐜𝐮𝐬𝐭𝐨𝐦 𝐦𝐚𝐜𝐡𝐢𝐧𝐞-𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬. 𝐌𝐲 𝐰𝐨𝐫𝐤 𝐟𝐨𝐜𝐮𝐬𝐞𝐬 𝐨𝐧 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐢𝐧𝐠 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐠𝐫𝐚𝐝𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐭𝐡𝐚𝐭 𝐩𝐞𝐫𝐟𝐨𝐫𝐦 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐲 𝐢𝐧 𝐫𝐞𝐚𝐥 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞𝐬. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐆𝐫𝐚𝐝𝐞 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 1. 𝐃𝐨𝐜𝐮𝐌𝐢𝐧𝐝 – 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐑𝐀𝐆 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 Developed a scalable retrieval-augmented generation (RAG) system using LangChain, Pinecone, and FastAPI (AWS) for real-time enterprise document retrieval and summarization. 2. 𝐀𝐈𝐎𝐩𝐬𝐄𝐧𝐠𝐢𝐧𝐞 – 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐨𝐫 Built an agent-based DevOps automation platform using LangGraph + n8n, automating alerting, log analysis, and incident resolution. 3. 𝐑𝐞𝐚𝐥𝐓𝐢𝐦𝐞 𝐂𝐚𝐥𝐥 𝐂𝐞𝐧𝐭𝐞𝐫 𝐀𝐠𝐞𝐧𝐭 (𝐕𝐨𝐢𝐜𝐞 + 𝐋𝐋𝐌) Created a voice-enabled AI assistant using Deepgram, Twilio, and OpenAI for 24/7 multilingual support with real-time intent routing and analytics. 4. 𝐀𝐮𝐭𝐨𝐃𝐞𝐯 𝐀𝐠𝐞𝐧𝐭 – 𝐋𝐋𝐌 𝐂𝐨𝐝𝐞 𝐑𝐞𝐯𝐢𝐞𝐰 & 𝐓𝐞𝐬𝐭 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐨𝐫 Engineered an LLM-powered CI/CD reviewer that analyzes commits, validates logic, and auto-generates tests within Docker pipelines. 5. 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐏𝐚𝐲 – 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦 Implemented AI-driven invoice and expense automation with OCR + LLMs, deployed via AWS Fargate, including fraud detection and live dashboards. 6. 𝐃𝐚𝐭𝐚𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐗 – 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐍𝐋𝐏 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 Designed a data-science platform that cleans, extracts, and transforms multi-source datasets using Pandas, Airflow, and Hugging Face Transformers, then trains NLP models for insight prediction and trend analysis. 🛠️𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 ✅ AI Agents & Multi-Agent Systems ✅ RAG & Knowledge-Base Assistants ✅ LangChain / LlamaIndex / CrewAI Applications ✅ Custom GPT Integrations (OpenAI, Anthropic, Gemini, Mistral) ✅ Workflow Automation (n8n, Make.com, Zapier) ✅ Machine-Learning & Deep-Learning Models (Scikit-learn, PyTorch, TensorFlow) ✅ NLP Solutions – Summarization, Q&A, Intent Detection, Sentiment Analysis ✅ Data Pipelines, Cleaning, Extraction & Transformation (Pandas, Airflow, ETL) ✅ Vector Search & Document Pipelines (Pinecone, Chroma, Weaviate, pgvector) ✅ Cloud Deployment & Scaling (AWS, Docker, FastAPI, Streamlit) 💠 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 💠 Languages: Python | JavaScript | SQL 💠 Frameworks & Tools: LangChain | LlamaIndex | CrewAI | LangGraph | FastAPI | Hugging Face | PyTorch | TensorFlow | Scikit-learn | Pandas | Airflow 💠 Databases: PostgreSQL | Supabase | Redis | Pinecone | FAISS | Chroma | Weaviate | pgvector 💠 Automation: n8n | Make.com | Zapier 💠 Cloud: AWS | Google Cloud | Docker | Kubernetes 💠 Visualization / Frontend: Streamlit | Gradio | Plotly | Chainlit 💼 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 Live portfolio available upon request includes deployed RAG platforms, automation pipelines, and data-science systems used in active businesses. 🗝Ignore these keywords AI Engineering | Artificial Intelligence | AI Developer | AI Engineer | AI Expert | Generative AI | Agentic AI | AI Automation | AI Agents | Multi-Agent Systems | LangChain | LlamaIndex | CrewAI | LangGraph | RAG | LLM | ChatGPT Developer | OpenAI Developer | Custom GPT | AI Chatbot Developer | Python | FastAPI | Hugging Face | Anthropic Claude | Gemini API | Mistral AI | NLP | Machine Learning | Deep Learning | Data Science | Predictive Modeling | ML Engineer | MLOps | Model Deployment | AI Workflow Automation | n8n | Make.com | Zapier | Business Automation | No-Code Automation | Low-Code Automation | AI Integration | API Integration | Vector Databases (Pinecone / Weaviate / Chroma / pgvector) | Semantic Search | Hybrid Search | Contextual RAG | AI SaaS | AI App Development | AI Platform Development | AI MVP | Cloud Deployment | Docker | AWS | Kubernetes | Model Fine-Tuning | LoRA | QLoRA | AI Consulting | AI System Design | AI Product Development | Custom GPT Development | Enterprise AI Solutions | Conversational AI | Prompt Engineering | Document AI | OCR | Intelligent Document Processing | Knowledge Base Assistant | AI-Powered Analytics | Computer Vision | Predictive Analytics | Data Analysis | Data Visualization | Applied Machine Learning | Autonomous AI Systems | Compound AI Systems | Cognitive Services | AI Automation Engineer | AI Infrastructure | AI Orchestration | n8n | web scraping | Data Extraction | automation workflows

Part of a startup dedicated to architecture, deployment, automation, and observability of backend environments, as well as machine learning and deep learning. Management of data analysis projects, through multiple tools and frameworks. Design, implementation, training and fine tuning of machine and deep learning models. Extensive experience in projects involving NLP, LLM, conversational AI Experience and certification in designing and managing backend environments through Kubernetes orchestrator. Management of projects that involve the use of deep learning models and algorithms based on computer vision. AS A WEIGHTY VALUE, THE COST PER HOUR ON THIS SITE INCLUDES THE COLLABORATION OF MY ENTIRE STARTUP TEAM, WHICH WE ARE 3 SPECIALISTS IN DIFFERENT AREAS, PROJECT ANALYSIS, STRUCTURED AND VECTORIZED DATABASES, MACHINE LEARNING / DEEP LEARNING AND DESIGN

Top 1% Expert-Vetted Power BI & Tableau Developer 🏆 Trusted by Google, Microsoft, and Unilever. 𝘼𝙧𝙚 𝙮𝙤𝙪 𝙨𝙩𝙧𝙪𝙜𝙜𝙡𝙞𝙣𝙜 𝙩𝙤 𝙛𝙞𝙣𝙙 𝙖 𝙋𝙤𝙬𝙚𝙧 𝘽𝙄 𝙤𝙧 𝙏𝙖𝙗𝙡𝙚𝙖𝙪 𝙙𝙖𝙨𝙝𝙗𝙤𝙖𝙧𝙙 𝙚𝙭𝙥𝙚𝙧𝙩 𝙬𝙝𝙤 𝙘𝙖𝙣 𝙙𝙚𝙡𝙞𝙫𝙚𝙧 𝙫𝙞𝙨𝙪𝙖𝙡𝙡𝙮 𝙘𝙤𝙢𝙥𝙚𝙡𝙡𝙞𝙣𝙜, 𝙖𝙘𝙩𝙞𝙤𝙣𝙖𝙗𝙡𝙚 𝙙𝙖𝙨𝙝𝙗𝙤𝙖𝙧𝙙𝙨 𝙬𝙞𝙩𝙝 𝙘𝙡𝙖𝙧𝙞𝙩𝙮 𝙖𝙣𝙙 𝙨𝙥𝙚𝙚𝙙? I can help you and your team enhance operational efficiency by solving complex data challenges through real-time Power BI or Tableau dashboards, advanced data integration, and ETL workflows. 𝑯𝒐𝒘 𝑰 𝒉𝒆𝒍𝒑𝒆𝒅 𝒐𝒕𝒉𝒆𝒓 𝒄𝒍𝒊𝒆𝒏𝒕𝒔? • Saved a mid-sized construction company 𝟭𝟯 𝗵𝗼𝘂𝗿𝘀/𝘄𝗲𝗲𝗸 by automating workflows and ensuring availability by 𝟴:𝟬𝟬 𝗔𝗠 𝗱𝗮𝗶𝗹𝘆 • Helped an enterprise tech company improve Power BI adoption by 𝟳𝟬% using the best practice dashboard design techniques • For a 92-school education company, reduced manual weekly data validation from 𝟳+ 𝗵𝗼𝘂𝗿𝘀 to less than 𝟯𝟬 𝗺𝗶𝗻𝘂𝘁𝗲𝘀 with automated ETL pipelines 𝑾𝒉𝒚 𝒘𝒐𝒓𝒌 𝒘𝒊𝒕𝒉 𝒎𝒆? 🏢 I provide scalable data solutions for medium-to-enterprise business growth 🤝 A transparent, hands-on approach ensures seamless execution and measurable ROI 📈 Trusted by global leaders like Google, Microsoft, Unilever, Pinterest, and more 🔒 If you’re not satisfied within two weeks, I will provide a full refund 𝑩𝒓𝒊𝒅𝒈𝒊𝒏𝒈 𝒕𝒉𝒆 𝒈𝒂𝒑 𝒃𝒆𝒕𝒘𝒆𝒆𝒏 𝒂𝒓𝒕 𝒂𝒏𝒅 𝒅𝒂𝒕𝒂 𝒔𝒕𝒐𝒓𝒚𝒕𝒆𝒍𝒍𝒊𝒏𝒈 I incorporate the 5 essential elements of dashboard design: data integrity, flow, color, typeface, and engagement. 𝑻𝒖𝒓𝒏𝒊𝒏𝒈 𝒚𝒐𝒖𝒓 𝒅𝒂𝒕𝒂 𝒊𝒏𝒕𝒐 𝒚𝒐𝒖𝒓 𝒃𝒊𝒈𝒈𝒆𝒔𝒕 𝒄𝒐𝒎𝒑𝒆𝒕𝒊𝒕𝒊𝒗𝒆 𝒆𝒅𝒈𝒆 𝒘𝒊𝒕𝒉: ✅ Real-time business insights dashboards crafted in Power BI or Tableau, delivering actionable insights across desktop, web, or mobile platforms. ✅ AI-powered business analytics to identify patterns, predict trends, automate decisions, and streamline operations. ✅ Data integration and governance solutions to centralize disparate data sources, ensuring compliance with GDPR, HIPAA, and other standards. ✅ Advanced ETL workflows to handle complex SQL pipelines, Excel macros, and Python scripts—saving time and boosting efficiency. 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗦𝗲𝗿𝘃𝗲𝗱 𝘀𝗶𝗻𝗰𝗲 𝟮𝟬𝟭𝟯: Technology, Healthcare, B2B/B2C, Retail & Ecom, Finance & Operations, Construction, Manufacturing, Streaming and more. 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗶𝗻 𝗧𝗼𝗼𝗹𝘀 𝘁𝗵𝗮𝘁 𝗱𝗿𝗶𝘃𝗲 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝘀𝘂𝗰𝗰𝗲𝘀𝘀: BI/Visualization Tools: Power BI, Tableau, Looker Studio, QlikView, Sigma, Metabase, Superset Data Warehouses: Snowflake, BigQuery, Redshift, Databricks, Amazon Athena ETL/Automation Tools: SSIS, Alteryx, Tableau Prep, Power Query, Fivetran, Airflow, DBT, Informatica Languages: SQL, Python, R, JavaScript, DAX, VBA AI Platforms: OpenAI, Power BI CoPilot, Tableau GPT, Google Vertex AI Cloud Platforms: AWS, Azure, Google BigQuery, Snowflake ⭐️⭐️⭐️⭐️⭐️ "Ogo is a dashboard savant. He takes a methodical and creative approach to business intelligence design and was a pleasure to work with at all stages of development” - Ned T., Head of Strategy, Google Hardware ⭐️⭐️⭐️⭐️⭐️ "On top of his deep knowledge of SQL and BI tools, he has an incredibly strong design sense. The dashboards he built us jump off the page and share common visual themes that are intuitive and easy for our users to navigate" - Google, Product Cost Manager ⭐️⭐️⭐️⭐️⭐️ "Ogo was a great strategic partner in building out very complex visualizations in Tableau for dashboards being viewed daily by our leadership team. He helped us organize business requirements thoughtfully and got up to speed quickly on different data sets!" 𝑯𝒐𝒘 𝒘𝒆 𝒘𝒊𝒍𝒍 𝒘𝒐𝒓𝒌 𝒕𝒐𝒈𝒆𝒕𝒉𝒆𝒓: 1️⃣ 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 - Schedule a 1-hour discovery video call via Zoom where I can understand your unique business goals, objectives, audience, and key considerations. 2️⃣ 𝗗𝗲𝘀𝗶𝗴𝗻- Review application/workflow diagrams, including low and high-fidelity dashboard wireframes and mockups that adhere to data visualization best practices. 3️⃣ 𝗗𝗲𝘃𝗲𝗹𝗼𝗽 - Deploy automated, secure, and scalable dashboards tailored to your KPIs.

I am a 𝗣𝗵.𝗗. 𝗶𝗻 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 and the founder of a cutting-edge startup specializing in AI and ML solutions. I offer a unique blend of academic expertise and entrepreneurial spirit. 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: ✔ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠𝘀): Deep experience with GPT-4, GPT-3.5, ChatGPT, Whisper, BERT, and more. ✔ 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 & 𝗠𝗟 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀: Proficient in LSTM, RNN, CNN, Random Forest, Learning to Rank, Regression, and other advanced algorithms. ✔ 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲: Comprehensive skills in data analysis, modeling, and implementation. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗦𝘁𝗮𝗰𝗸: ✅ 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Python (full scientific stack), R ✅ 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: TensorFlow, PyTorch, Keras ✅ 𝗧𝗼𝗼𝗹𝘀: NLTK, Docker 𝗪𝗵𝗮𝘁 𝗜 𝗢𝗳𝗳𝗲𝗿: ➞ Proven track record in building and scaling SaaS products. ➞ Expertise in translating complex AI and ML concepts into real-world, impactful solutions. ➞ A passion for pushing the boundaries of AI and ML to deliver innovative results. Let’s Collaborate: Transform your AI and ML challenges into groundbreaking solutions!

Ask me for any data modelling project-- I'll work through the Preprocessing, Feature Selection and Model Building phases to give you a predictor, classifier or a recommender. I can also advise you on the best model that would fit your data to approach questions or objectives you have in mind. And when it comes to Academics-- whether teaching courses to beginners, or advising scholars and scientists in any field on their cutting edge research involving AI/ML, or writing journal/conference papers and getting them through across reviewers' comments, you will perhaps find few freelancers with my expertise, experience and skill. With a PhD, one-year Postdoc... plus 12 years experience, I am teaching Numerical Methods, Operations Research and Machine Learning in a premiere technological Institute. I have a couple of PhD scholars in the field of evolutionary algorithms (GA/GP), swarm intelligence (ACO/PSO) and Rough-Fuzzy hybridization, whose research I supervise. Machine Learning, Artificial Intelligence, and Evolutionary Optimization are my major traits. I have a profound knowledge in Fortan 77/90, and moderate expertise in C, while I use Python or R for most of my machine learning projects. I also have a love for LaTeX and TikZ, on which I work in between brainstorming projects. Having successfully completed 75 projects on Upwork with excellent ratings in each, and a consistent Top Rated status, I'm committed to deliver the highest level of satisfaction to my prized clients. I work throughout the week, targeting complicated and challenging projects with focus on quality to exceed your expectations.

I'm an AI engineer with 7 years of production experience at Microsoft Copilot and IBM, plus a Master's in AI and Data Science. I specialize in building agentic AI systems—intelligent, autonomous workflows that reason, act, and deliver measurable business outcomes. What most teams miss: AI isn't about the LLM, it's about orchestration. I design and deploy multi-agent systems using LangGraph, AutoGen, and production frameworks where AI agents collaborate with deterministic logic and human oversight to solve complex, high-stakes problems. I build systems that work, not demos that impress. EXPERTISE AGENTIC AI AND MULTI-AGENT SYSTEMS - Multi-agent orchestration (LangGraph, AutoGen, Crew.ai) - Agent design: perception, reasoning, action loops - State machines and supervisory control - Human-in-the-loop AI workflows - Agent-to-agent communication and collaboration - Real-time monitoring and agent auditing LARGE LANGUAGE MODELS AND LLM ENGINEERING - Prompt engineering and few-shot learning - Structured outputs (JSON schemas, Pydantic validation) - Function calling and tool use - Long-context reasoning (200+ page document analysis) - Fine-tuning and adaptation - Cost optimization and latency reduction - Multimodal LLMs (text + vision) RETRIEVAL-AUGMENTED GENERATION (RAG) AT SCALE - Hybrid vector + keyword indexing (Weaviate, Qdrant, Pinecone) - Query routing and intelligent retrieval - Chunk optimization and reranking - Context compression - Citation and source tracking - Conflict detection across document sets - Production RAG pipelines (reducing hallucination) PRODUCTION AI ARCHITECTURE - API-first design (FastAPI, serverless) - Microservices and distributed agent systems - Async processing and queue management - Model deployment and inference optimization - Monitoring, observability, logging - Graceful degradation and fallback strategies - Security and governance in regulated environments MACHINE LEARNING AND DATA SCIENCE - Supervised and unsupervised learning (XGBoost, Random Forest, ensemble methods) - Deep learning (CNN, RNN, Transformers, TensorFlow, PyTorch) - NLP pipelines (tokenization, embeddings, semantic search) - Statistical analysis and hypothesis testing - Data visualization and reporting WHAT I BUILD INTELLIGENT AGENTS AND CHATBOTS Agentic chatbots that reason through multi-step problems, retrieve relevant context, and execute actions. Customer support, technical assistance, content generation, decision support. DOCUMENT INTELLIGENCE SYSTEMS Multi-agent workflows that ingest complex document sets, extract structured information, detect conflicts, generate RFIs, build takeoffs, and produce cost estimates. Built for real-world accuracy, not demos. AUTONOMOUS WORKFLOWS AI agents that coordinate across business processes: data pipeline orchestration, content generation at scale, financial analysis, project management, research and analysis. RAG-POWERED ANALYTICS Question-answering systems over your proprietary data (documents, databases, knowledge bases) with source attribution, confidence scoring, and multi-turn reasoning. CUSTOM AI SOLUTIONS Tailored agentic systems for your specific workflow—whether that's construction estimating, contract review, healthcare intake, anomaly detection, or predictive analysis. TECHNICAL STACK Frameworks and Orchestration: LangGraph, AutoGen, Crew.ai, LangChain, LlamaIndex LLM Providers: OpenAI (GPT-4, GPT-4o), Anthropic Claude, open-source (Llama, Mistral) Vector Databases: Weaviate, Qdrant, Pinecone, Chroma Backend and Deployment: Python, FastAPI, Docker, AWS (SageMaker, Lambda, S3), serverless ML Frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost Data and Databases: SQL, PostgreSQL, MongoDB, BigQuery Monitoring and Observability: LangSmith, custom logging, performance tracking INDUSTRIES AND IMPACT Enterprise SaaS | Financial Services | Healthcare and Biotech | Construction and AEC | Legal Tech | Government and Defense | Consulting | E-commerce | Nonprofits --- HOW I WORK Discovery First — 20-minute conversation to understand your problem, timeline, and success metrics. No fluff, just clarity. Phased Delivery — Start with an MVP that proves value. Expand from there. You control scope at each phase. Production-Grade from Day One — Every system is built to scale, monitor, and evolve. Not a prototype. Transparent and Collaborative — Regular updates, explainable decisions, alignment on progress. I work with your timezone. Honest Assessment — Sometimes the answer isn't "build an AI agent." I'll tell you if a simpler solution fits better. LET'S TALK Whether you're exploring agentic AI for the first time or optimizing an existing system, let's have a conversation. Message me or schedule a consultation. I'm here to turn your business challenge into an intelligent, auto