I’m an AI/ML Engineer with deep expertise in Python, NLP, LLM integration, and intelligent AI solutions. I design and deploy AI-powered systems such as custom chatbots, multi-agent frameworks, RAG knowledge platforms, and automated workflows that help businesses transform data into actionable insights, automate complex tasks, and improve operational efficiency. I’m experienced in AI agent orchestration, conversational AI, NLP analytics, predictive modeling, recommendation engines, and end-to-end machine learning pipelines. I also specialize in workflow automation using n8n, Make, Zapier, GoHighLevel, and Python scripts for data processing, API integrations, and AI model deployment. Services I Offer: - LLM Integration with advanced models like OpenAI, Claude, Gemini, and Deepseek - RAG Systems & Knowledge Graphs for actionable insights - AI Agents & Multi-Agent Systems for automation and decision-making - Custom Chatbots & Conversational AI for websites, apps, and support - NLP & Text Analytics: summarization, sentiment analysis, entity recognition Workflow & Automation - Workflow Automation Platforms: n8n, Make, Zapier, GoHighLevel - Python Automation: scripts, pipelines, API integrations, scheduling - Data Expertise: preprocessing, feature engineering, model deployment - Python Libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, LangChain Why Clients Choose Me: ✅ Scalable, production-ready AI solutions ✅ Cross-domain expertise: AI + Data + Automation ✅ Fast delivery with maintainable, high-quality code ✅ Clear, proactive communication and strategic guidance 💬 Let’s build AI systems that solve real problems, automate your workflows, and deliver measurable results.

Most AI initiatives are not unsuccessful because of substandard models. They are not working after all no one assembles all the pieces together. 𝐓𝐡𝐚𝐭'𝐬 𝐦𝐲 𝐣𝐨𝐛. ᯓ★ I build production-ready AI systems that solve real business problems. 🌍 Serving clients globally with 𝐟𝐥𝐞𝐱𝐢𝐛𝐥𝐞 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 across all time zones 🏆 3+ years of hands-on experience across full-stack 𝐀𝐈 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 😊 Trusted by 𝟐𝟎+ 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 across healthcare, legal, finance, and education 🔝 Specialized in 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 from concept to deployment Most AI projects do not fail because the model is weak. They fail because the full system is not designed properly: retrieval is poor, APIs are fragile, the frontend is disconnected, or deployment is ignored. My work focuses on connecting all of those pieces into one reliable product. I work across the full stack of AI development: machine learning/deep learning models, computer vision/NLP techniques, GenAI/Agentic AI & LLM applications, RAG pipelines, backend APIs, frontend interfaces, databases, and cloud deployment. I have built AI solutions across healthcare, legal tech, education, analytics, and cybersecurity, including systems for clinical triage, legal document analysis, real-time sentiment analysis, and enterprise knowledge assistants. ➥ Core Expertise Machine Learning: Classification, regression, clustering, dimensionality reduction, feature engineering, ensemble learning, anomaly detection, time-series, model evaluation (ROC-AUC, F1, RMSE), pipeline optimization. Deep Learning: CNNs, RNNs, LSTMs, Transformers, attention mechanisms, transfer learning, fine-tuning, backpropagation, gradient descent, model quantization. Computer Vision: Image classification, object detection, segmentation, OCR, pose estimation, preprocessing, augmentation, visual embeddings, video analysis, Grad-CAM. NLP: Text classification, sentiment analysis, NER, topic modeling, summarization, question answering, machine translation, semantic search, embedding-based retrieval. GenAI / Agentic AI: RAG pipelines, multi-agent systems, tool/function calling, prompt engineering, embeddings & vector search, reranking, hallucination reduction, LLM evaluation, fine-tuning (LoRA/QLoRA). Deployment: Containerization, orchestration, CI/CD pipelines, autoscaling, monitoring & logging, GPU deployment, serverless architecture. Full-Stack AI Development: AI chatbots, copilots, document Q&A systems, RAG-based systems, multi-agent workflows, memory systems, local LLM deployment. ➥ Tools and Frameworks Machine Learning: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, NumPy, pandas, MLflow, Optuna. Deep Learning: PyTorch, TensorFlow, Keras, Hugging Face Transformers Computer Vision: OpenCV, PyTorch Vision, Detectron2, YOLO, Albumentations, MediaPipe, Segment Anything (SAM), FiftyOne. NLP: BERT, RoBERTa, T5, GPT, SentenceTransformers, spaCy, NLTK, Hugging Face Transformers. GenAI / Agentic AI: OpenAI API, Gemini, LLaMA, Mistral, Claude, LangChain, LangGraph, CrewAI, LlamaIndex, FAISS, ChromaDB, Pinecone, Milvus, Ollama, vLLM. Backend APIs: FastAPI, Flask, Django, Node.js, GraphQL, REST APIs, Redis, Nginx, PostgreSQL/Supabase, Firebase. Deployment: Docker, Kubernetes, AWS, GCP, Azure, Vercel, GitHub Actions. ➥ Why Clients Work With Me - I build complete AI products, not just isolated models - I focus on real-world usability, performance, and maintainability - I communicate clearly and give realistic technical direction - I write clean, documented code that teams can extend - I can take a project from idea to deployment If you need an AI engineer who can handle the full pipeline from LLMs and ML models to backend, frontend, and deployment, I would be glad to help. Let’s have a quick chat/meeting and discuss the solution to your problem. ➥ EXPERTISE Machine Learning | Deep Learning | Generative AI | Agentic AI | NLP | AI System | AI Development | AI Full-stack Development | AI MVPs | Python Scripting | Computer Vision | Sentiment Analysis | RAG Chatbots | Automations | Backend Development | Frontend Development | AI Chatbots | LLM Applications | AI Web App Development | AI Engineer | Cloud Deployment | Classifications | Recommendation systems | EDA | Feature Engineering | Time-series | Predictive Modelling | MLOps | PDF Extraction | Data Extraction | Object Detection | Model Fine-tunning | AI Model Integration | AI PDF Extraction | Statistical analysis | Legal | Finance | Healthcare | Education | AI Model Development | Full-stack Development

🏆Top Rated for more than 10 years on Upwork | 🏆 70+ projects | 🏆 100% Job Success Score | 🏆 16 years experience | 🏆Working with 3x enterprise companies and so many start-ups/individual clients Production-grade computer vision systems for real-world environments — edge deployment, system integration, and measurable business outcomes. I graduated as an Electrical Engineer M.Sc. (Embedded Software Developer faculty). I am an expert in AI/Machine learning (object detection) and IoT/Edge Computing (Raspberry Pi and Jetson Orin NX/Nano, Deepstream 6.x, 7.x, Triton/TAO toolkit). I prefer long-term projects, but you can hire me for shorter ones also as a consultant. Strength: - Computer Vision/Machine learning Project architect/design - technical stack, cost of long-term usage, refine user requirement etc. - Python Machine learning projects (Tensorflow, Keras, PyTorch) - especially with computer vision, object detection (YOLO), image segmentation and pose tracking (OpenPose), shape recognition (dlib) and action recognition (X3D, mmaction etc.) - Develop/maintain/upgrade your existing Deepstream/Triton based application - Embedded image processing solutions (Edge computing): computer vision on Jetson Orin (NX/Nano) with Deepstream7.0 (earlier version too 6.x/7.x, Triton, TAO toolkit) or on Raspberry Pi, using Intel Movidius Neural Compute Stick (NCS) + OpenVINO. Train a model for specific purpose, provident dataset collection/preparation/preprocessing task management, I specialized for object detection (up to YOLOv12) - AWS, GCP (Google Cloud Platform) VM inference and training setup and execution/deployment - NVIDIA GPU experience: Tesla T4, L4, A100, H100 GPU for training and inference/server production. - Home automation/Smart home - lighting, building engineering, heating/cooling, Home assistant: integrate Amazon Alexa, Phillips Hue, Sonos, Apple TV, Google Nest, custom solutions - Raspberry Pi (Linux - Raspbian) - programming and teaching in Python (RS232, RS485, TCP communication), Wi-Fi settings, Home assistant Services: - Short (30-60 minutes) consultation - AI Architect tasks: responsible for the architecture of AI solutions, which includes planning, implementing, and managing AI technologies within an organization or project - I can speak English and Hungarian (magyar) and a little bit Spanish (castellano, espanol) AI Computer Vision | MLOPS | Edge Computing | AI Automation | AI strategy | AI consultant

Many AI projects fail not because of the algorithms, but because the underlying scientific or engineering problem is misunderstood. My background allows me to bridge that gap. I hold a PhD in chemistry and technology and have many years of experience working on research, industrial processes, data analysis, and software development. My background includes patents, peer-reviewed publications, and practical industrial experience, allowing me to approach projects from both scientific and engineering perspectives. Over time, my work naturally expanded into machine learning and AI, where I now build solutions for both scientific and commercial applications. I work with clients who need more than someone who can train another neural network. Often the real challenge is understanding noisy experimental data, choosing the right model, designing a reliable workflow, or translating domain knowledge into software. Typical projects include: • Machine learning and deep learning • Large language model applications and AI agents • Scientific data analysis and visualization • Chemometrics and multivariate statistics • Computational chemistry • Spectroscopy, chromatography and mass spectrometry data • Process optimization and modeling • Python software for research and engineering • Custom algorithms and automation I choose technologies based on the problem rather than the other way around. My primary tools include Python (NumPy, SciPy, scikit-learn, PyTorch, TensorFlow, Keras), R, MATLAB, and modern cloud technologies whenever they make sense for the project. I enjoy difficult problems, especially when they sit at the intersection of science and software. Some clients come to me with a well-defined specification; others only know that "the data doesn't make sense yet." Both are perfectly fine. Whether you represent a startup exploring a new idea, an established company improving an existing process, or a research group working with complex experimental data, I'll be happy to discuss your project and see whether I'm the right person to help.

I build AI systems that work in production - not just in demos. With 10+ years in AI/ML and enterprise software, 3000+ hours on Upwork, 700+ solutions delivered, and 400+ clients across the globe, I've earned a simple reputation: if you need intelligent automation, a custom LLM application, or a scalable ML pipeline, I'll build it, ship it, and make sure it holds up. I work across the full AI stack: from raw data ingestion and model training to fine-tuning LLMs, deploying RAG architectures, and integrating everything into production-grade systems. Whether the project lives on AWS (Bedrock, SageMaker, Textract, Comprehend), Google Cloud (Vertex AI), or runs locally (Ollama, LLaMA, DeepSeek), I build for the environment that fits your business, not the one that's easiest for me. ➛ 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗠𝗟𝗢𝗽𝘀 & 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗠𝗟 End-to-end ML pipelines with MLflow, SageMaker, and Azure ML. Model training, fine-tuning, versioning, and monitoring. TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost. Deep learning, neural networks, and Diffusion Models. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗟𝗟𝗠 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 Custom GPTs, AI agents, and RAG pipelines using OpenAI, Claude, LLaMA, Mistral, and DeepSeek. LLM fine-tuning with LoRA/QLoRA. Prompt engineering (zero-shot, few-shot, chain-of-thought). Multi-agent systems with LangChain and LangGraph. Deployed on AWS Bedrock, Vertex AI, or self-hosted via Ollama/Supabase. 𝗗𝗮𝘁𝗮 & 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 Data mining, web scraping, and pipeline engineering with Pandas, NumPy, and Python. Business intelligence and analytics with Amazon QuickSight. NLP with Amazon Comprehend, BERT, SpaCy, Transformers - text classification, sentiment analysis, entity recognition, content generation. 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 OCR and document processing with Amazon Textract, Azure Computer Vision, OpenCV, and Tesseract. Image recognition, face detection, and vision-based automation. Stable Diffusion and generative image workflows. 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗜 & 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 AI assistants and knowledge-base chatbots. Context-aware conversation systems integrated via API. GoHighLevel automation and CRM-connected AI workflows. Amazon Translate for multilingual deployments. 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗰𝗼𝗺𝗲 𝗯𝗮𝗰𝗸 Most AI projects fail at the handoff from prototype to production. I've spent a decade closing that gap, writing systems that are maintainable, monitored, and built to scale beyond the first deployment. - Production-first architecture from day one - Strong documentation and clean, handoff-ready code - Experience across AWS, Azure, GCP, and open-source stacks - Clear communication throughout, no black boxes - On-time delivery with post-launch accountability 𝗘𝘃𝗲𝗿𝘆 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝘀: - 1 month post-delivery support - 1 month warranty on all deliverables - Dedicated technical consultation If you're building an AI product, automating a complex workflow, or turning your data into something that actually makes decisions, let's talk. I'll tell you in the first conversation whether it's feasible, how long it takes, and what it'll cost.

Top Rated Plus & Amongst Top 1% Talent on Upwork Hi, I'm Asim, a seasoned Full-Stack and Mobile App Developer with over 8 years of experience in delivering 100+ mobile apps and 50+ websites across industries like healthcare, e-commerce, education, and fintech. My expertise lies in creating scalable, user-friendly applications tailored to your business needs. Whether you're looking for a powerful web application, a high-performing cross-platform mobile app, or an MVP to test your idea, I bring the technical skills and dedication to make your vision a reality. Why Work With Me? ✅ Top Rated Plus Freelancer - Recognized among the top 1% on Upwork. ✅ Proven track record with 100+ live mobile apps and 50+ websites. ✅ Client-first approach with a focus on innovation, scalability, and security. Core Skills & Expertise ✅ Mobile & Web Development 🟢 React Native, Flutter, Expo, .NET (WPF/WinForms, Xarmin, XML, MAUI), and Python (PyQt/Kivy) for responsive apps across platforms. 🟢 Advanced features: QR scanners, geolocation, push notifications, in-app purchases, and subscriptions. 🟢 Real-time chat/video using WebRTC, VoIP, Twilio, and Agora. ✅ Backend & Cloud Integration 🟢 Node.js, Express.js, Firebase, MongoDB, REST APIs, AWS, and scalable cloud setups. 🟢 Strong in React.js, Next.js, Redux, and TypeScript for modern UIs. ✅ AI & Automation 🟢 Built intelligent apps with TensorFlow, PyTorch, OpenCV, and automation via Python scripting. ✅ Payments 🟢 Integrated Stripe, PayPal, Square, Razorpay, and RevenueCat for seamless transactions. ✅Industry-Specific Expertise 🟢Healthcare: HIPAA-compliant apps with secure data handling. 🟢E-commerce: User-friendly platforms to convert window shoppers into buyers. 🟢Fintech: Secure financial tools focusing on user privacy and innovative features. 🟢Transportation & Logistics: Scalable ride-sharing and delivery management systems. 🟢Social Media: Engaging platforms to foster connections and community growth. My Tech Toolbox 🟢Frontend: React Native, React.js, TypeScript, Expo, Redux. 🟢Backend: Node.js, Express.js, Firebase, MongoDB, AWS. 🟢Tools: GitHub, Bitbucket, GitLab, and CI/CD pipelines. 🟢APIs: Google Maps, Apple Map Kit, MapBox, social integrations, and more. ✅Notable Achievements 🟢Delivered apps like Moneyveo, featuring secure user authentication and real-time data synchronization. 🟢Built HIPAA-ready healthcare solutions and feature-rich e-commerce platforms. 🟢Developed intuitive classified and service marketplace apps for seamless user experiences. 💼 Fintech Projects I Excel In: 🧩 Marketplaces: Developed secure, scalable marketplaces with seamless transaction flows using Python, Node.js, and React.js, meeting the unique requirements of fintech applications. 🧩 SaaS Platforms: Leveraged my backend expertise in Python and Node.js to build modular SaaS applications with Stripe integration for subscription-based payment models. 🧩 Financial Dashboards: Created real-time dashboards that provide dynamic financial data using Superset and advanced data visualization techniques for insight-driven decision-making. 🧩 Authentication & Security: Focused on implementing secure authentication systems (OAuth2, JWT) that ensure data protection and access control, crucial for fintech applications. 🌐 Technologies & Tools: #Fintech Development #Marketplace Integrations #Real Estate Platforms #Payment Gateways (Stripe, PayPal) #Financial Applications #Investment Platforms #Property Management Software #Digital Wallet Integration #Real-Time Transactions Technical Skills & Technologies #React.js & Next.js #Node.js & Express #Ruby on Rails #Python, & Django & Flask #Microservices Architecture #API Integration & Development #RESTful API, GraphQL #Docker & Kubernetes #Cloud Services (AWS, Google Cloud) #Kafka & Real-Time Data Processing #Database Management (PostgreSQL, MySQL, MongoDB) #Scalable Application Design #Data-Driven User Experience #User Authentication & Authorization #Account Reconciliation #Data Privacy & Compliance (GDPR, CCPA) #Transactional Security #Multi-Language Support (English, Arabic) #Marketplace Payment Solutions #Subscription Management #Investment Crowdfunding #Property Listings & CRM #B2B and B2C Integrations #User Interaction & Engagement Analytics Let’s Collaborate! From startups to enterprises, I’m dedicated to turning your ideas into robust, innovative applications. Whether you need a mobile app, web solution, or full-stack development, I’ll ensure your project stands out. Ready to bring your vision to life? Contact me today, and let’s get started on building something extraordinary!

𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗮𝗹 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗚𝗲𝗻𝗔𝗜, 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜, 𝗟𝗟𝗠, 𝗥𝗔𝗚 | 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 & 𝗙𝗶𝗻𝗧𝗲𝗰𝗵 | 𝗔𝗪𝗦, 𝗔𝘇𝘂𝗿𝗲, 𝗚𝗖𝗣 I am a Principal AI/ML Engineer with 18+ years of experience building production-grade artificial intelligence systems for healthcare, FinTech, and regulated enterprise environments. I specialize in designing secure, scalable, and compliant AI systems that move beyond prototypes into production platforms delivering measurable business value. My work covers end-to-end AI architecture, from data pipelines and model development to cloud deployment and enterprise integration. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: 𝗚𝗲𝗻𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 A. GPT-4/5, Claude, LLaMA-based applications B. RAG architectures with vector databases C. Fine-tuning, prompt engineering, and multi-agent systems (LangChain, LlamaIndex, AutoGen) 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗔𝗜 & 𝗠𝗟𝗢𝗽𝘀 A. End-to-end ML pipelines from training to deployment B. CI/CD for ML systems, monitoring, and lifecycle management C. Scalable inference systems on cloud infrastructure 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 & 𝗙𝗶𝗻𝗧𝗲𝗰𝗵 𝗔𝗜 A. Clinical workflow automation and medical document systems B. Fraud detection, risk modeling, and financial intelligence C. Compliance-driven AI systems for regulated environments 𝗔𝗜 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 & 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 A. Enterprise AI system design and roadmaps B. Proof-of-concepts and production scaling C. Technical leadership and architecture consulting 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝘁𝗮𝗰𝗸 Python, PyTorch, TensorFlow, Scikit-learn, FastAPI GPT-4/5, Claude, LLaMA, RAG, embeddings, vector databases PostgreSQL, MongoDB, Redis, Elasticsearch, Neo4j AWS, Azure, GCP, Docker, Kubernetes, CI/CD pipelines 𝗜𝗺𝗽𝗮𝗰𝘁 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 A. Built AI system processing 100K+ clinical trials for pharma enterprise B. Developed GenAI systems generating compliant medical documentation at scale C. Led 60+ engineers delivering enterprise healthcare AI products D. Generated $1M+ revenue through AI-driven solutions E. Contributed to $3.5M+ funding through AI product innovation F. Achieved 94% accuracy in crisis detection systems G. Delivered 73% engagement improvement in AI-driven platforms H. Scaled systems achieving 10X growth and $100K+ monthly revenue 𝗪𝗵𝗮𝘁 𝗦𝗲𝘁𝘀 𝗠𝗲 𝗔𝗽𝗮𝗿𝘁 A. I design full AI ecosystems, not just models B. Security-first, compliance-driven engineering approach C. Strong focus on business ROI and production readiness D. Experience leading engineering teams and enterprise stakeholders E. Deep domain expertise in healthcare, FinTech, and regulated AI systemsServices 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 A. LLM fine-tuning and RAG systems B. Multi-agent AI system development C. Healthcare and FinTech AI solutions D. End-to-end ML pipelines and deployment E. AI architecture, consulting, and optimization F. Technical audits and team mentoring If you need a senior AI/ML expert to design and deliver secure, scalable, and production-ready AI systems, I can help you build solutions that are reliable, compliant, and aligned with real business outcomes.

Hello! I am an accomplished Full Stack Developer with over 7 years of expertise in crafting cutting-edge web and mobile applications. My journey began as a back-end developer, and I have since mastered the art of developing robust web and mobile apps that deliver seamless user experiences. I have a strong command on following technologies and tools: ☑React Native, Flutter for mobile app excellence ☑Kotlin, Swift for dynamic mobile experiences ☑REST API & Redux ecosystem for efficient data flow ☑Firebase for scalable and real-time applications ☑Jest for rigorous testing ☑NODE JS, NEST JS for powerful backend development ☑Python, Django for versatile scripting ☑MySQL, MongoDB, Redis, Elasticsearch for robust data management ☑Docker, Vagrant for seamless deployment ☑Nginx, Haproxy for optimized performance ☑Various AWS services for scalable cloud solutions ☑Git, GitHub, Bitbucket for streamlined version control ☑Strong HTML & CSS skills for pixel-perfect designs ☑PHP, Laravel, Symfony ☑ WordPress, Shopify As a Python AI/ML developer specializing in data science and deep learning, I am dedicated to delivering high-quality solutions that leverage the power of artificial intelligence and machine learning for businesses. With a strong computer science background and hands-on experience in developing state-of-the-art AI models, my services encompass a wide range of tasks including data analysis, predictive modeling, natural language processing, and computer vision. I am passionate about providing intelligent solutions that generate actionable insights and drive improved business outcomes. Areas of expertise in Python AI/ML developer: 🚀 Image analysis, classification, and detection: I utilize vector databases and image analysis models to create hashes and perform image matching, enabling precise and efficient image analysis. 🚀 AI bots trained on custom language models: By leveraging GPT3 models and training them on specific datasets, I create AI bots capable of engaging in deeper and more tailored conversations. 🚀 ML - computer vision: I excel in tasks such as segmentation, classification, and object detection, leveraging advanced techniques and tools like PyTorch, Keras, ResNet50, OpenCV, and TensorFlow. Programming languages and tools I am proficient in: ✔️ Python ✔️ R ✔️ PyTorch ✔️ Keras ✔️ ResNet50 ✔️ OpenCV ✔️ TensorFlow ✔️ SQL ✔️ OpenAI I am committed to delivering innovative AI solutions that drive business growth and efficiency. Let's collaborate to unlock the full potential of artificial intelligence in your organization.

I build AI systems that automate real business operations from legal document generation to food distribution logistics using LLMs, RAG pipelines, and multi-agent frameworks shipped to production. If you need an AI solution that actually works outside a Jupyter notebook, you're in the right place. ━━━ WHAT I'VE BUILT (REAL PROJECTS) ━━━ ✦ Legal Demand Letter Generator (SettleWing) RAG pipeline + LandingAI PDF extraction + GPT-4 → reduces legal drafting from hours to minutes. Stack: Django · React · OpenAI · LandingAI · PostgreSQL · Docker · AWS ✦ AI Plant Disease Detection App (Dtreaty) Real-time crop disease diagnosis via computer vision. GPS-tagged outbreak logging for agricultural authorities. Stack: TensorFlow · Flutter · OpenCV · CNNs · GPS API ✦ Multi-Agent LinkedIn & Instagram Content Engines Autonomous content pipelines: trend research → AI copywriting → visual generation → API publishing. Stack: CrewAI · LangGraph · LLaMA 3 / GPT-4 · LinkedIn API · Instagram Graph API ✦ VidWise – YouTube Video Intelligence Agent Transcribes, summarizes, and lets users have RAG-based Q&A conversations with any YouTube video. Stack: LangChain · Whisper · FFmpeg · OpenAI / Claude · RAG ✦ SiteSage – Website Q&A Agent Chat with any website. Ingests web content → semantic embeddings → vector DB → context-bound answers. Stack: Flask · LangChain · ChromaDB / Pinecone · RAG ✦ HRA-FoDAS – AI Food Donation Platform Full-stack mobile platform connecting donors, NGOs, and volunteers with real-time tracking + AI meal planner. Stack: Flutter · Appwrite · Firebase · Riverpod · OpenRouter (LLaMA, Mistral, Gemma) ✦ Subsplash Workflow Automation Automated printer detection + bulk row selection for a document-heavy client workflow. Eliminated manual ops entirely. Stack: Python · Selenium · ChromeDriver ✦ Audio ID + Payments + Notifications Pipeline End-to-end event-driven automation: audio input → Stripe payment → Airtable storage → SMS notification. Stack: Python · Stripe API · Airtable · Webhooks · REST APIs ✦ Smart Agricultural App AI crop health monitoring with real-time disease detection, yield prediction, and eco-farming guidance. Stack: TensorFlow · PyTorch · YOLO · OpenCV · Flutter ✦ AI Auto-Grading System OCR + sentence transformers for automated subjective answer evaluation. Semantic similarity scoring at scale. Stack: Python · Google Vision API · SBERT · Cosine Similarity · Scikit-learn ━━━ WHAT I SPECIALIZE IN ━━━ → LLM Applications — GPT-4, Claude, LLaMA, Mistral via OpenAI / Anthropic / Groq APIs → RAG Pipelines — LangChain, LangGraph, ChromaDB, Pinecone, semantic search → Multi-Agent Systems — CrewAI, LangGraph, stateful orchestration → AI Automation — n8n, Selenium, webhooks, event-driven workflows → Computer Vision — TensorFlow, PyTorch, YOLO, OpenCV, OCR → Mobile AI Apps — Flutter + AI backend integration → Full-Stack Deployment — FastAPI, Django, Docker, AWS, GCP, Firebase ━━━ TECH STACK ━━━ LangChain · LangGraph · CrewAI · OpenAI · Claude API · Groq · LLaMA · Mistral n8n · FastAPI · Django · Flask · React · Flutter · Riverpod · Appwrite Pinecone · ChromaDB · Weaviate · PostgreSQL · Airtable · Firebase Docker · AWS · GCP · Selenium · TensorFlow · PyTorch · OpenCV ━━━ WHO I WORK BEST WITH ━━━ ✔ Startups who need AI built fast and right the first time ✔ Businesses replacing manual processes with intelligent automation ✔ Teams who want a technical partner, not just a coder-for-hire Let's talk about what you're trying to automate or build.

Senior Data Engineer and AI Engineer with 15+ years in data engineering, AI engineering, and cloud data platforms. I build production data pipelines, ETL workflows, LLM and RAG systems, and machine learning infrastructure on AWS, GCP, Azure, Snowflake, Databricks, and Apache Spark. Most of my data engineering work is end to end. I take a messy data problem, or an AI feature that "almost works," and turn it into something reliable that runs in production without someone babysitting it. After 15+ years as a data engineer, you learn the hard part is rarely the model or the framework. It's the data, the edge cases, the pipelines, and keeping the system maintainable once you've handed it over. As an AI engineer I treat LLM and RAG work the same way: take a prototype that almost holds together and make it a production AI system that survives real traffic, real users, and real data. Recent data engineering and AI engineering projects: - An AI inbound phone system built on Twilio with OpenAI Whisper and GPT-4, handling real-time voice intake and call routing. - Enterprise Power BI data models for healthcare and financial reporting, around 30 tables and 40+ DAX measures, including IFRS 9 staging, RAROC, and NIM trends. - HL7 FHIR R4 integrations with Epic, Cerner, and Athenahealth for a clinical AI platform. - Cut LLM inference cost on a high-volume voice product by 25% by reworking how it used the OpenAI Realtime API and its per-turn token replay. Data engineering: Apache Spark, PySpark, dbt, Apache Airflow, ETL and ELT pipelines, data warehousing, data modeling, Snowflake, BigQuery, Redshift, Databricks, Delta Lake, Kafka, Kinesis, Fivetran. AI engineering and machine learning: OpenAI GPT-4o, Claude, Gemini, LangChain, LlamaIndex, RAG pipelines, AI agents, prompt engineering, vector search (Pinecone, Weaviate, pgvector), PyTorch, TensorFlow, scikit-learn, MLflow, model deployment. Cloud and DevOps: AWS (Glue, EMR, Lambda, Redshift, SageMaker, Athena), GCP (BigQuery, Dataflow, Vertex AI), Azure (Synapse, Data Factory, Azure ML), Terraform, Docker, Kubernetes, GitHub Actions. Automation and integration: n8n, Make, Power Automate, REST and GraphQL APIs. Governance and compliance: GDPR, HIPAA, SOC 2, RBAC, PII masking, encryption, data lineage. Languages: Python, SQL, Scala, PySpark, FastAPI, Flask. How I work: I'd rather ask the right questions up front than build the wrong thing quickly. I'll tell you when something is a bad idea, give you timelines I can keep, and leave you with code and documentation your own team can maintain. I've delivered data engineering and AI engineering projects for startups and enterprises across the US, Europe, and Asia. If you're looking to hire a data engineer or AI engineer who can own the work end to end, from raw data pipeline to production AI system, I'm available now. Tell me what you're building and I'll give you a straight answer on how I'd approach it.