𝗦𝗲𝗻𝗶𝗼𝗿 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 helping founders and product teams turn ideas into production-ready AI SaaS, web, and mobile products. 𝟳+ 𝘆𝗲𝗮𝗿𝘀 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 | 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸. 𝗪𝗛𝗔𝗧 𝗜 𝗛𝗔𝗩𝗘 𝗗𝗘𝗟𝗜𝗩𝗘𝗥𝗘𝗗 (measurable results): • AI SaaS platform with a built-in LLM copilot that boosted user retention by 𝟰𝟬% • RAG knowledge assistant that cut customer support response time by 𝟳𝟬% • Multilingual Voice AI agent that automated 𝟴𝟬% of inbound appointment booking calls • n8n automation workflows that saved a client 𝟮𝟬+ 𝗵𝗼𝘂𝗿𝘀 of manual work per week • Fraud detection system that reduced client losses by 𝟲𝟮% 𝗶𝗻 𝟵𝟬 𝗱𝗮𝘆𝘀 • Demand forecasting model that cut e-commerce inventory costs by 𝟯𝟬% • IoT anomaly detection that prevented $𝟮𝗠+ 𝗶𝗻 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗱𝗼𝘄𝗻𝘁𝗶𝗺𝗲 • Real-time surveillance AI at 𝟵𝟵.𝟱% 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆 for a Fortune 500 client • Medical imaging AI with 𝟵𝟱%+ 𝘀𝗲𝗻𝘀𝗶𝘁𝗶𝘃𝗶𝘁𝘆 for skin cancer detection • 𝟱𝟬+ 𝗔𝗜 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝘀𝗵𝗶𝗽𝗽𝗲𝗱 across fintech, healthcare, e-commerce, and enterprise • 𝗭𝗲𝗿𝗼 𝗿𝗲𝗳𝘂𝗻𝗱𝘀, 𝘇𝗲𝗿𝗼 𝗳𝗮𝗶𝗹𝗲𝗱 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗶𝗲𝘀 𝗠𝗬 𝗦𝗘𝗥𝗩𝗜𝗖𝗘𝗦 (what you can hire me for): 1. 𝗔𝗜 𝗦𝗮𝗮𝗦 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Full AI-powered SaaS platforms with LLM features built in from day one: smart dashboards, AI copilots, and automated workflows that drive retention and reduce churn. 2. 𝗟𝗟𝗠 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 GPT-4, Claude, LLaMA, Mistral, or open-source models wired into your existing web or mobile product without breaking what already works. 3. 𝗥𝗔𝗚 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 (𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻) Custom RAG pipelines and knowledge bases so your app answers using YOUR documents and data. Fast, accurate, and hallucination-resistant, powered by vector databases like Pinecone, FAISS, and Weaviate. 4. 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 ChatGPT-style assistants trained on your business data for customer support, sales, and internal tools. 5. 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 Multilingual voice agents and speech-to-text pipelines that book appointments, answer calls, qualify leads, and handle support conversations automatically. 6. 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 Agents that do not just answer, they act: generating reports, searching databases, and triggering multi-step workflows on their own. 7. 𝗻𝟴𝗻 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 End-to-end automation with n8n, Make, and Zapier. I connect your apps, APIs, and AI models so manual tasks run themselves. 8. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗪𝗲𝗯 & 𝗠𝗼𝗯𝗶𝗹𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Complete products from UI/UX to backend to cloud deployment, using React, Next.js, FastAPI, Node.js, Django, and Flutter. 9. 𝗠𝗩𝗣 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Launch-ready MVPs built fast so you can validate your idea and get to market before your competitors. 𝗠𝗬 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞: • LLMs & AI: GPT-4, Claude, LLaMA-2, Mistral, Falcon, Cohere • Frameworks: LangChain, LlamaIndex, HuggingFace, PyTorch, TensorFlow • RAG & Vector DBs: Pinecone, FAISS, Weaviate, ElasticSearch, ChromaDB • Automation: n8n, Make, Zapier • Full-Stack: React, Next.js, FastAPI, Node.js, Django, Flutter • Cloud & MLOps: AWS SageMaker, GCP Vertex AI, Docker, Kubernetes, MLflow • Data: Apache Kafka, Snowflake, BigQuery, Apache Spark, PostgreSQL 𝗪𝗛𝗬 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗛𝗜𝗥𝗘 𝗠𝗘: • 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗽𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲 𝗶𝗻 𝗪𝗲𝗲𝗸 𝟭, so you test results instead of waiting on promises • End-to-end ownership of architecture, development, testing, and deployment • Production-ready code, not "works on my machine" demos • 𝗙𝗿𝗲𝗲 𝗿𝗲𝗯𝘂𝗶𝗹𝗱 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲: if it does not meet the agreed scope after handoff, I fix it at no cost • Full-time availability, flexible across time zones • Clear, plain-English communication 𝗛𝗢𝗪 𝗪𝗘 𝗦𝗧𝗔𝗥𝗧: 1. Message me with what your app does or what you want to build 2. Within 24 hours I will tell you exactly which AI features will have the biggest impact 3. We scope the work, agree on milestones, and I start in Week 1 𝗟𝗘𝗧 𝗨𝗦 𝗧𝗔𝗟𝗞: Message me now and I will respond within minutes. Najeeb Ullah | AI Engineer | LLM & SaaS Developer | Top Rated | 50+ Products Shipped

I would really love to work on big, exciting projects. I have done many projects in the following fields. You can invite me to any project related to them. You will get your project done properly because I love working on those fields so much. Machine learning algorithms.......................-Artificial Intelligence. Deep learning....................................................-Natural language processing (NLP) Python programming......................................-Data analysis using python. Data Visualization using python.................-pandas, seaborn, matplotlib, TensorFlow, ski-learn Tutoring ML/AI/MATH/Python...................- CNN, RNN, GAN, ANN, ML, AI, DL.

Generative AI Stack -- GPT-4o, GPT-4.1, GPT-4 Turbo, LLMs 🧠, Generative AI, Multimodal AI, Chatbots 💬, RAG, Advanced RAG (Hybrid RAG, Graph RAG), Agents 🤖, Autonomous Agents, LangChain, LangGraph, LlamaIndex, Finetuning, Parameter-Efficient Fine-Tuning (PEFT, LoRA, QLoRA), NLP with 3 years of Industry Experience. I design and deploy production-ready OpenClaw clawbot AI agents with custom skills, multi-channel integrations, and secure self-hosted setups to automate real business workflows end-to-end. ML Stack -- Machine Learning, NLP, Image Processing, Statistical Reports, NLTK, Gensim, SpaCy, FastText, word2vec, MUSE, Whisper, Whisper v3, Transformers, Diffusion Models, Graph Neural Networks, Hugging Face, Hugging Face Hub, Sentence Transformers, AutoML. Computer Vision Stack: OpenCV, TensorFlow, Keras, DeepFace, YOLO, YOLOv8, YOLO-NAS, Vision Transformers (ViT), SAM (Segment Anything Model), Stable Diffusion. Database Stack -- Vector Databases (Pinecone, Weaviate, PgVector, ChromaDB, Milvus, Qdrant, Weaviate, Azure Search, Azure AI Search, Azure DB, Chroma, FAISS ), Semantic Search, Hybrid Search, Embeddings, Multimodal Embeddings. LLM's -- GPT-4o, GPT-4.1, GPT-4 Turbo, GPT3.5/4, Llama 2, Llama 3, Llama 3.1, Mistral, Mixtral, Claude 3, Gemini. Cloud Code RAGs, Agents (Langchain, LangGraph, LlamaIndex, OpenAI Assistants API, Tool Calling, Function Calling) Key Skills: ✔️ GPT Apps development using Python, Langchain, LangGraph, LLM (ChatGPT / GPT 4 / GPT-4o / HuggingFace models), VectorStores (Pinecone, Weaviate, FAISS, Qdrant, ChromaDB, …) ✔️ Automation and integration using ChatGPT API, OpenAI Assistants API, Tool Calling. ✔️ Python solutions using ChatGPT API, Whisper API, GPT 4 model, GPT-4o, and other OpenAI API services. ✔️ Integrating OpenAI's ChatGPT, GPT 4, GPT-4o API to take user prompts. ✔️ Prompt Engineer with great experience in designing various problems for various AI Use cases, System Prompts, Agent Prompts, and Chain-of-Thought optimization. Recent Project stack 📝 Text Simplification with tokenized BART for accessibility 🌐 Knowledge Graph-Based Question Answering with Graph RAG 🗣️ Voice Recognition in German using Flask, BERT, Whisper 🤖 Enhanced Chatbot with question-answering techniques, RAG, and Agent-based workflows 📊 Multimodal AI Apps (Text + Image + Audio) 🔍 Semantic & Hybrid Search Applications Expertise in NLP and AI Development: 🌟 LLM Agents (Web, APIs, Databases, Tools, Browsers) 🤖 GPT Apps development using Python, Langchain, LangGraph, and HuggingFace models 🌐 Automation and integration using ChatGPT API, OpenAI Assistants, Tool Calling 🔧 Troubleshooting and optimization of existing chatbot and RAG solutions ✔️ Expert in LLMs (GPT 4, GPT-4o, OpenAI Assistants, ChatGPT) 🛠️ Creative Python API Integration, AI Pipelines, and AI Product Development clawbot, open claw integration

Senior Python engineer specializing in production RAG systems and Azure OpenAI integrations. Most AI developers can wire up a demo. The hard part is a retrieval system that stays accurate, secure and fast once real users and real documents hit it. That is what I do daily: my current Upwork contract is 1,792+ hours and $80,000+ building RAG and Azure OpenAI integration for one client, and it is still running. Across 17 contracts, 3,000+ hours and $100,000+ earned on Upwork, with a near-perfect 5-star record, I have shipped: Production RAG on Azure OpenAI: retrieval pipelines, chunking and embedding strategy, grounded answers with citations, plus hardening a live RAG system against prompt injection and data leakage. AI agents and chatbots in Python using LangChain, LlamaIndex and CrewAI, wired to OpenAI and Anthropic Claude APIs with vector-database retrieval. Applied machine learning: ICU patient risk scoring, recommendation engines for streaming and web platforms, image recognition models that hold up across lighting and orientation changes, and predictive analytics on sales data. AI automation: financial risk analysis, lead and customer workflows, and assistants built for e commerce and real estate. I have also delivered as a full-stack Python, SQL and cloud engineer on a contract for an Upwork Enterprise client. How I work: I scope before I build, test edge cases before delivery, and hand over documented systems your team can actually maintain. That is why nearly every contract has closed with a 5 star review and several clients have re-hired me on new contracts. If you have a RAG system returning wrong answers, an Azure OpenAI integration to build, or an AI agent that needs to survive production, message me with the details and I will come back with a clear plan.

AI Specialist focused on machine learning, automation, and intelligent system design. Experienced in creating AI agents and workflow automations using modern LLMs and real-time processing tools. Skilled in data analysis, AI model evaluation, and building RAG-based applications with LangGraph and vector databases. Previously contributed to large-scale model training with Scale AI. I deliver practical, high-impact AI solutions that improve efficiency and decision-making.

Interested in patterns and systemic, critical thinking. Machine Learning, Neural networks, Biotech, Prediction, Forecasts since 2015. Chatbots, Multiagent systems with langchain, MCP, multi agent orchestration. Recursive AI. Worked at: Heads AS STOCKHOLM - Bulbitech Kaduu switzerland NyC oncologylab AI USA-Africa Drug design AI cooperative clinics lab ltd Pivotal AI Lexpopuli AI +lot more Biotech AI, Drug design AI AI agents AI research Automation with and without n8n worked for: Custom RAG agents Tech stacks integration Business exec assistant and workforce agents etc Machine Learning, AI, Custom agents, Chemo/Biophysics MCP, Langchain Chatbots for web and mobile QA machines Drug discovery AI NLP/CV Custom AI agents/ Langchain/ Autogen System administration/networking Bioinformatics, chemoinformatics, AI Biotech and medical software development, Machine Learning /// Cybersecurity, Deep Learning: Project management - Biotech Team leading - Scientific computing, Medical research OSINT/ VA work Information security Crypto/Blockchain Deep Learning, Scientific computation ////

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. Working with LLMs for the past 8+ years and have good expertise in AI Agents development using langchain, LlamaIndex, and LLMs like Claude, GPT4o, Amazon Bedrock, Ollama Core Expertise & Technical Strengths 🦾 Early adopter of Prompt-Driven Development (PDD), designing AI systems where prompts become the primary specification and code acts as an implementation layer. 🦾 Deep experience working with leading LLM ecosystems including OpenAI GPT models, Claude Sonnet/Opus, Gemini, Mistral, Llama, Hugging Face, Together AI, Ollama, LM Studio, Groq, Cursor, Windsurf, Codex, and Claude Code. 🦾 Proven ability to bring AI solutions from concept to production using frameworks and tools such as DSPy, TextGrad, LangChain, LlamaIndex, LangSmith, LangServe, MemGPT, Kor, Zapier, and modern AI coding environments. 🦾 Strong optimization background with fine-tuning and model acceleration techniques using QLoRA, DeepSpeed, Unsloth, quantization methods, Transformer architectures, and distributed GPU infrastructure to improve performance while reducing costs. 🦾 Extensive experience building agentic systems with technologies including MCP, OpenAI Agents SDK, CrewAI, AutoGen, LangGraph, Google ADK, Open Interpreter, MultiOn, and computer-use frameworks. 🦾 Skilled in computer vision and generative media development using OpenCV, Stable Diffusion, Midjourney, Runway, Pika, and other image/video generation platforms. 🦾 Developed real-time voice applications with speech recognition and synthesis using Whisper, ElevenLabs, Twilio, Bland AI, and related conversational AI technologies. 🦾 Strong machine learning foundation with TensorFlow, PyTorch, Keras, scikit-learn, and development expertise in Python, JavaScript, C++, and Mojo. 🦾 Specialized knowledge in quantitative finance, algorithmic trading, cryptocurrencies, DeFi ecosystems, NFTs, Solidity, and forecasting technologies such as Prophet, TimeGPT, PatchTST, and AutoTS. 🦾 Full-stack engineering experience across React, Angular, Vue.js, Django, Flask, FastAPI, Node.js, and modern AI-assisted development platforms. 🦾 Cloud and infrastructure expertise spanning AWS, Google Cloud, Azure, and DigitalOcean. 🦾 Hands-on experience with MLOps workflows using MLflow, Weights & Biases, Neptune, BentoML, Docker, and scalable data systems including Pinecone, Weaviate, FAISS, Neo4j, MongoDB, PostgreSQL, MySQL, BigQuery, and SQL Server. 🦾 Experience supporting fundraising activities, investor outreach, pitch preparation, due diligence processes, and deal execution. 🦾 Product leadership capabilities covering the entire lifecycle—from ideation and strategy to launch, iteration, and retirement—while leveraging AI to streamline complex business operations. 🦾 Leadership experience in recruiting, team building, agile delivery, performance management, and coordinating large-scale teams across multiple functions. 🔹 Why Businesses Partner With Me → End-to-end ownership of projects, from system design and development through deployment and ongoing support. → Focus on production-ready solutions that are scalable, maintainable, and built for long-term growth rather than short-lived prototypes. → Transparent communication with regular progress updates, proper documentation, and predictable delivery. → Experience building enterprise-grade applications that meet strict performance, security, and compliance requirements. → Ability to scale execution through team leadership and collaboration, ensuring larger projects can be delivered efficiently. 🔹 Areas Where I Add Value → Designing and developing AI agents and advanced multi-agent ecosystems. → Building, fine-tuning, and deploying machine learning models for real-world applications. → Integrating OpenAI and other LLM APIs into existing or new products. → Creating and connecting RESTful APIs for seamless system communication. → Automating repetitive business processes and workflows using 🤝 Working With Me: I pride myself on clear communication, translating complex AI concepts into actionable business strategies. Whether you need a production-ready AI system, strategic guidance, or technical leadership, I deliver solutions that exceed expectations. I'm available for both short-term projects and long-term engagements. Ready to transform your business with AI? Let's discuss how I can help you leverage the latest in GenAI, LLMs, and machine learning to achieve your goals. Thanks, Ashima Keywords: Artificial Intelligence, Machine Learning, Deep Learning, GenAI, Generative AI, ChatGPT, GPT-4, GPT-5, Large Language Models, LLM, Fine-tuning, RAG, Retrieval Augmented Generation, RLHF, Vector Database, Embeddings, Transformers, NLP, Computer Vision, PyTorch, TensorFlow, Python, AWS, GCP, Azure, Healthcare AI, FinTech AI, MLOps, AI Architecture, Prompt Engineering, LangChain, Hugging Face

I'm from the founding team of midash.ai, an AI trading and investment platform that runs personalized AI agents, backed by Google for Startups and the Dubai International Financial Centre (DIFC). Due to increased demand in this space, we're launching customized B2B solutions and services for professionals. We'd be delighted to set up a call with me and our CEO to discuss your use case and how we can help you develop it. We deliver end to end: design, build, and deployment. You don't need your own infrastructure or DevOps team. We offer our own managed hosting, so your system goes live on infrastructure we operate and maintain, the same way we run our own platform in production. From the first architecture call to a running system, everything stays with one team. What we've already built and can build for you: - Strategy design and backtesting: we design trading strategies and test them against historical data with realistic execution modeling before any capital is at risk. - AI trading agents and analysis: LLM-driven agents that analyze market trends using fundamental and non-fundamental data (volume, short interest, news sentiment), with multi-API data pipelines feeding them. We've also built autonomous agents that take a strategy and execute it end to end, monitoring the market and acting on their own. - Broker connectivity: production-grade integrations with trading APIs (Interactive Brokers and others), with a proven blueprint for connecting to virtually any broker: order execution, historical data retrieval, real-time streaming, and account management. - Market scanners and alerts: real-time screening across large universes of instruments, with custom criteria and instant notifications. - Custom platforms: each of these exists as a battle-tested module in our platform. You're not paying us to figure it out from scratch, you're getting working blueprints and faster delivery because we've already solved these problems in production. - This is premium work: a team that operates a live fintech product, senior engineers on your project, and consulting-level judgment on architecture and approach, not a developer learning your domain on your budget. Beyond fintech, I bring 2+ years in AI/ML engineering: production web apps, AI-integrated systems, and 50+ tool integrations across platforms. If your project needs to scale, automate, or ship reliably, that's where we work best. Let's talk about what you're building.

TOP RATED PLUS | 100% JOB SUCCESS Turning messy data and documents into reliable AI systems — not just models, but production-ready tools that support real workflows. Focus on LLM applications, forecasting, and decision-support analytics used in fintech, platforms, and research environments. End-to-end solutions include data pipelines → modeling → evaluation → deployment → monitoring. Strong mathematical background (First-Class Honours in Mathematics, MSc in Data Analytics) combined with practical engineering experience delivering scalable and maintainable ML systems. ▶What Can Be Built • AI assistants over company documents (RAG, vector databases, private knowledge bases) • Forecasting & anomaly detection systems for business or sensor data • Automated analytics & decision-support dashboards • NLP pipelines for classification, extraction, and summarization • Production ML APIs and batch pipelines ▶Selected Work •LLM Knowledge Assistant Domain-specific assistant using embeddings and retrieval pipelines to answer questions over internal documentation, reducing manual lookup effort. •Financial Anomaly Detection Hybrid deep learning and statistical models detecting irregular transaction patterns in large-scale time-series data. •Forecasting & Root-Cause Analysis Deep temporal models forecasting operational metrics and identifying drivers behind performance changes. •Intelligent Chatbot Transformer-based conversational system with improved intent detection and contextual responses. ▶Tech Stack Python • PyTorch • TensorFlow • Scikit-Learn • Transformers RAG Pipelines • Vector Databases • Time-Series Models • Statistical Modeling SQL • Data Pipelines • Model Deployment

Greetings, I am a Senior AI Engineer and Data Architect specializing in Machine Learning, Deep Learning, Federated Learning, AI Agent Development, LLMs, AI Automation, Automated Workflows (n8n), and Data Architecture. I focus on building scalable, secure, and production-ready AI and data solutions that solve real business problems. My core strength lies in designing end-to-end AI and data systems, from data ingestion, data modeling, and data processing to model development, deployment, automation, and business intelligence. I have strong experience in LLM-based RAG systems, computer vision, privacy-preserving AI using Federated Learning, and modern data platforms. I also work on enhancing AI security through Blockchain integration where applicable. - Key Expertise: * Data Architecture & Engineering * Data Lake, Data Warehouse, and Lakehouse Architecture * Data Modeling: Star Schema, Snowflake Schema * ETL/ELT Pipelines and Data Integration * Data Governance, Data Quality, and Metadata Management * Batch and Real-Time Data Processing * Big Data Platforms: Spark, Hadoop, Cloudera CDP * DataOps, CI/CD, and MLOps - Generative AI and Automation * LLMs, RAG systems, AI chatbots * AI Agent Development * Agentic AI (LangGraph, CrewAI, MCP) * Automated Workflow Development * n8n Workflow Automation * AI workflow automation and integrations * API integration and orchestration - Advanced AI * Federated Learning * Secure AI systems with Blockchain integration - Machine Learning * Regression models, Decision Trees, SVM * Ensemble methods: Random Forest, Gradient Boosting, XGBoost * Probabilistic and distance-based models: Naive Bayes, KNN - Deep Learning * ANN, CNN, RNN, LSTM, GAN * Model optimization and deployment - Computer Vision * Image classification, object detection, segmentation I am passionate about collaborating with clients to deliver robust, efficient, and future-ready AI and data solutions. If you are looking for a Senior AI Engineer and Data Architect who combines research-level expertise with real-world implementation, I would be happy to discuss your project.