I help businesses harness the power of AI to automate processes, enhance customer experiences, and build intelligent systems that deliver measurable results. With expertise in AI agent development, large language models (GPT-4, LangChain), Retrieval-Augmented Generation (RAGs), vector databases, and automation tools like n8n, I design and implement end-to-end AI solutions tailored to business needs. How I Can Help You: ✅ AI Agents & Chatbots: Custom AI agents, conversational bots, GPT-4/ChatGPT integrations ✅ Voice & Multimodal AI: Voice bots, AI-driven interaction systems ✅ Retrieval-Augmented Generation (RAGs): Advanced knowledge systems using vector databases (Pinecone, Weaviate, etc.) ✅ Automation & Orchestration: n8n workflows, AI-driven automations, system integrations ✅ AI Consulting & Prototyping: Strategy, architecture, and rapid development of AI solutions Tech Stack & Tools: AI & LLMs: GPT-4, ChatGPT, OpenAI, LangChain, Stable Diffusion Automation & Workflows: n8n, Make .com, Notion, Airtable, Workflow Optimization Vector Databases: Pinecone, Weaviate, ChromaDB, FAISS Programming & Frameworks: Python, FastAPI, Django, AI-powered applications Cloud & Hosting: AWS, Azure, Serverless AI deployments ✅ Focused on clear communication, business impact, and on-time delivery ✅ Open to both short-term and long-term AI projects

I'm a Senior AI Engineer with 5+ years of full-time experience building production AI systems — most recently a multi-agent chatbot for a global money-transfer platform operating across 160+ countries, handling live transaction tracking, exchange-rate queries, and customer support end-to-end. I build RAG chatbots, AI agents, and computer vision systems that go beyond demos into real, deployed products: fast, accurate, and built to scale. Core stack: OpenAI / GPT-4.1, LangChain, LangGraph, FastAPI, WebSocket, Redis, FAISS, PostgreSQL, PyTorch, OpenCV, YOLOv8. What I can help with: RAG chatbots over PDFs, websites, policies, and internal documents AI agents and tool-calling / workflow automation OpenAI / GPT API integration Computer vision systems: object detection, tracking, anomaly detection (YOLOv8, OpenCV) FastAPI backend development and API-connected automation My work is also published in peer-reviewed venues (IEEE conferences, IT Professional journal) on applied computer vision systems. If you tell me your use case, I'll tell you honestly whether AI is the right tool for it — and if it is, how I'd build it.

I'm a Data Scientist and Machine Learning Engineer with 5+ years of experience helping SMEs turn messy data, unstructured text, and manual workflows into intelligent, automated systems that drive real business outcomes. My core strength lies in building production-ready ML and NLP solutions, from custom LLM applications and RAG pipelines to fully autonomous AI agents, that don't just work in a notebook but actually perform at scale. I've worked across healthcare, fintech, e-commerce, SaaS, and customer support, and I bring both the technical depth and business thinking to every project. You're probably sitting on thousands of support tickets, internal documents, customer conversations, or operational data that your team processes manually. Leads slip through the cracks, customers wait too long for answers, insights stay buried in spreadsheets, and your competitors are already automating what your team still does by hand. The longer you wait, the more it costs you in time, in errors, and in missed opportunities. 𝐌𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐔𝐦𝐛𝐫𝐞𝐥𝐥𝐚: 1. LLMs & Generative AI: OpenAI API (GPT-4, GPT-3.5), Claude, Gemini API, LangChain, LlamaIndex, RAG Pipelines, Prompt Engineering, Zero-shot & Few-shot Reasoning, In-context Learning, Text-to-SQL 2. Agentic AI: Multi-agent systems, LangGraph, CrewAI, AutoGen, Tool-use & Function Calling, Autonomous Workflow Agents, Memory & Planning Architectures 3. NLP: Named Entity Recognition, Text Classification, Sentiment Analysis, Semantic Search, Vector Embeddings (OpenAI, Sentence-Transformers), Topic Modeling, Summarization, Wav2Vec2.0, Whisper, HuBERT 4. Machine Learning & Deep Learning: CNN, LSTM, Transformer-based Models, Diffusion Models, LoRA/QLoRA Fine-tuning, Ensemble Modeling, Scikit-learn, XGBoost, PyTorch, TensorFlow 5. Data Science & Analytics: Exploratory Data Analysis, Statistical Modeling, A/B Testing, Forecasting, Pandas, NumPy, SQL, Tableau, Power BI 6. MLOps & Deployment: FastAPI, Flask, Streamlit, AWS (Bedrock, EC2, Lambda), CI/CD Pipelines, Apache Airflow, n8n, PostgreSQL, Vector Databases (Pinecone, Weaviate, ChromaDB) I design and deploy AI systems that automate customer support with 90%+ resolution accuracy, build RAG-powered knowledge assistants that cut research time by 10x, deploy autonomous agents that handle multi-step workflows end to end, and turn raw business data into predictive models that drive smarter decisions. My clients don't hire me for the tech. They hire me for the results. That means fewer manual errors, 60 to 80% faster processing, reduced operational costs, and decision-making backed by real-time intelligence. Whether it's an AI agent saving $50K/year in support overhead or an NLP pipeline that replaces 3 full-time analysts, I build solutions where the ROI is obvious within weeks, not months. Every engagement starts with a 𝐅𝐑𝐄𝐄 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 where I assess your data challenge, identify quick wins, and map out a clear roadmap. I deliver production-grade systems with clean documentation, so your team isn't dependent on me forever. 𝗦𝗲𝗻𝗱 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗼𝗿 𝗶𝗻𝘃𝗶𝘁𝗲 𝗺𝗲 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗷𝗼𝗯, 𝗰𝗼𝘀𝘁𝘀 𝘆𝗼𝘂 𝗮𝗯𝘀𝗼𝗹𝘂𝘁𝗲𝗹𝘆 𝗻𝗼𝘁𝗵𝗶𝗻𝗴, 𝗮𝗻𝗱 𝘁𝗵𝗲 𝘄𝗼𝗿𝘀𝘁 𝘁𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝗶𝘀 𝘆𝗼𝘂 𝗱𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗴𝗲𝘁𝘀 𝘆𝗼𝘂𝗿 𝘃𝗶𝘀𝗶𝗼𝗻. Thanks Aneeba A.

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.)

Hi! I'm a software developer focusing on computer vision, image processing, and back-end development. I have hands-on experience taking ML projects from a proof-of-concept to the production stage. I worked on image generation workflows where I helped reduce inference time by 44% using TensorRT. I also built a full-stack computer vision platform that hosts over 20 ML models for tasks like object detection, segmentation, and captioning via REST API. On the back-end side, I'm comfortable setting up REST APIs with FastAPI and C#, configuring Ubuntu servers and Nginx, and handling databases. I've also done short-term consulting for image generation models like Stable Diffusion and FLUX, and I have experience contributing to UAV development and 3D printing in my free time. Tech Skills: Python, C#, JavaScript, React. PostgreSQL, MongoDB, SQL Server. FastAPI, ASP.NET, Nginx. PyTorch, Tensorflow, Scikit-learn, Pandas, Numpy. Image processing, Data augmentations, ML Model Tracking/Logging. Diffusion models, Unet, SAM, Yolo, ResNet, LLM, Stable Diffusion, FLUX. VPS, AWS, EC2, S3, CI/CD. Linux, Ubuntu Server, Bash, Docker, SMTP.

I’m a Machine Learning & Deep Learning Engineer specializing in Computer Vision and NLP, building production-ready systems for image, document, and text automation. I help businesses extract value from images, scanned documents, and unstructured text using reliable ML solutions. With a Computer Science degree, I apply strong software engineering fundamentals to deliver accurate, maintainable ML systems — not just experiments. 🔹What I Can Help You With • Computer Vision – image classification, object detection, visual inspection • OCR & Document Processing – invoices, forms, PDFs, scanned documents • Natural Language Processing (NLP) – text classification, information extraction, text analytics • Deep Learning Models – CNNs, sequence models, attention-based architectures • End-to-End ML Pipelines – data → model → evaluation → deployment 🔹 Relevant Work • Built OCR + NLP pipelines for extracting structured data from documents • Developed computer vision models for real-world image datasets • Implemented NLP models for classification and text extraction • Designed ML pipelines optimized for performance and scalability 🔹TOOLS & TECH Python, NumPy, Pandas Scikit-Learn TensorFlow, PyTorch OpenCV, YOLO CNN architectures NLP pipelines, text preprocessing Model deployment (API-ready)

Hi! My name is Viacheslav Ivannikov, and I excel at leading AI products from an idea to a company. In my experience I found 2 startups, both still functioning, vitreon.app and artroom.ai In terms of AI Engineering I've started out on the dawn of LLMs and AI in general building MVPs and projects. In my last position I've worked on building an AI assistant for a czech retail company making it one of the most developed and fast AI agents of it's kind.

Top Rated Plus developer with a 100% Job Success Score specializing in high-performance Android (Kotlin/Jetpack Compose) and iOS (Swift/SwiftUI) applications. I provide a competitive edge by integrating on-device AI - from custom fine-tuned YOLO models for real-time detection to local LLM integration for intelligent UX. Simultaneously, I offer expert-level React Native development for clients seeking high-intensity, scalable cross-platform solutions. I bridge the gap between complex AI logic and polished mobile UX. A recent production success includes a YOLO-based scanning app achieving a 100% detection rate and 99% OCR accuracy via TensorFlow Lite. Technical Expertise: - On-Device AI & Vision: Expert in custom YOLO, OpenCV, and Google ML Kit for real-time scanning and on-device LLM features. - Native Excellence: Senior-level SwiftUI and Jetpack Compose development focusing on clean MVVM/MVI architecture. - High-Intensity React Native: Building robust cross-platform apps with seamless native-module integrations and high-performance UI. - Backend & Cloud: Scalable infrastructure using AWS Lambda, Firebase, Supabase, GraphQL, and REST APIs. - Growth & Revenue: Integration of MMPs (AppsFlyer, Adjust) and analytics (Mixpanel, Customerio) to track revenue and user behavior. - Modernization: Expert at migrating legacy codebases to modern frameworks and optimizing app performance. I lead projects from the first line of code to App Store/Google Play deployment, ensuring every app I ship is production-ready, performant, and data-informed.

If you’re looking for an AI engineer who can design LLM and NLP systems that actually work in production, I build intelligent assistants, Chatbots, RAG pipelines and document answering tools that deliver accurate, reliable, enterprise grade results. Clients hire me to turn unstructured text, PDFs and domain knowledge into powerful AI systems that answer questions through grounded context. I’ve built LLM applications for EdTech, healthcare, HR and analytics startups across France, Netherlands and Germany. One client described me as “the best AI engineer I’ve worked with on Upwork” after I rebuilt their deep learning pipeline, fixed data leakage and pushed test accuracy beyond 90 percent. How I can help you: • Custom LLM assistants for your domain • Retrieval Augmented Generation (RAG) systems using your internal documents • Document Q&A pipelines for PDFs, reports, multilingual text and structured outputs • Chatbots for customer support, HR, education or internal workflows • Prompt engineering and evaluation frameworks for consistent results • FastAPI based backends, secure API deployment, and lightweight local LLM setups • Multi agent workflows, vector databases and orchestration with LangChain and LangGraph Tech I work with: Python, LangChain, LangGraph, HuggingFace, OpenAI API, FastAPI, FAISS, Chroma, PyTorch, TensorFlow, Google Cloud, Vertex AI, DeepL, SQLAlchemy Some results I’ve delivered: • Built a RAG system for medical text extraction that improved retrieval accuracy by 40 percent • Developed a multilingual document Q&A bot with memory and structured outputs adopted by analysts • Created an HR assistant with prompt versioning and evaluation tools that reduced response time 60 percent • Delivered AI assistants for educators that automate content review and student response analysis Why clients work with me: • Clean, documented, production ready engineering • Clear communication with both technical and non technical teams • Realistic timelines and solutions grounded in practical deployment • Experience in healthcare, EdTech, HR and enterprise document Let’s get started: Share your problem and a sample of your data. I’ll map out a simple action plan, suggested architecture and timeline so you know exactly how we’ll approach it. Keywords: LLM, NLP, RAG, Chatbot, Document AI, AI Automation, LangChain, LangGraph, Vector Database, Custom AI Assistant, Python, FastAPI, OpenAI.

I am Younas Khan, a researcher with a Ph.D. in Machine Learning and over 10 years of experience in Machine Learning, Artificial Intelligence, Deep Learning, and Data Science. I have authored papers in Q1 journals and serve as a reviewer for Core A* and A-level conferences in Artificial Intelligence and Machine Learning. I specialize in: * Machine Learning model development, training, validation, and optimization * Research paper writing, editing, structuring, and formatting for journal submission * Systematic Literature Reviews * Thesis and dissertation support * Technical academic writing My Approach: I ensure methodological accuracy, reproducible experiments, and clear scientific communication. Every project is handled with attention to structure, originality, and publication standards. I provide well-documented work and adhere to strict timelines. Services Offered: * ML model design, experimentation, and performance evaluation * End-to-end preparation of publication-ready manuscripts * Development of methodologies, experimental workflows, and result interpretation * Creation of high-quality figures, tables, and visual analytics * Literature synthesis and academic support Research Interests: * Machine Learning * Artificial Intelligence * Deep Learning * Computer Vision * Natural Language Processing * Data Privacy and Security If you need expert support in ML research or publication-ready academic work, I am available to collaborate.