🔵 14+ years developing first-class web, mobile and AI apps that achieve business goals and hit the mark. As an AI developer and web developer, my expertise led my team to work with Fortune 500 companies such as Philip Morris, Coca-Cola, DANONE, McDonald’s (Ukraine), and Kimberly-Clark. I started as a programmer in 2006. Now, I'm CTO at Brights — a software company focused on web, mobile and AI products, with 120+ Mobile app developer s and Web developer s who specialize in AI Chatbot systems, advanced AI Integration solutions, AI Saas and Mobile app development. As a deal closer, I also work closely with clients during product strategy and delivery. At Brights, we support companies through every stage of development backed by experienced AI developer, AI Chatbot, AI API Integration, Mobile app developer, and web developer — from MVPs to scaling including AI developer | AI Chatbot | AI API Integration | Mobile app developer. Our experience includes API integration, complex API integrations, and enterprise-grade AI API Integration. Within the last 14 years, I have delivered 300+ projects across fintech, insurtech, healthcare, eCommerce, real estate, education, logistics, and more as an AI developer | AI Chatbot | AI API Integration | Mobile app developer. 👩‍💻 Technical stack I cover as an AI developer | AI Chatbot | AI API Integration | Mobile app developer: Front-end: • Vue.js, React, Angular, Next.js, Redux, react native Back-end: • ASP.NET, PHP, Node.js, GraphQL Mobile: • React Native, iOS, Android, with support from a dedicated Mobile app developer and Flutter developer as well as Mobile game developer Artificial Intelligence tech stack I cover as an AI developer | AI Chatbot | AI API Integration: • Python developer workflows, LangChain, GPT-4o, gpt-3, OpenCV, Hugging Face, RAG, LLM, AI machine learning, and scalable machine learning pipelines Data & Architecture: • PostgreSQL, MongoDB, Redis, Elasticsearch for both mobile app marketing and web • Supported by experienced data scientist and full stack developer teams Integrations: • Analytics, CMS, Swagger, botpress, chatbots, AI API, and automation systems with reliable API integration If you are looking for AI developer | AI Chatbot | AI API Integration or Mobile app developer with strong mobile app design experience (Figma mobile app) - drop me a line.

⚪️ Built AI systems used by startups handling thousands of daily operations ⚪️ AI Developer | Python Developer AI | Web Scraping Python ⚪️ OpenAI, Python, FastAPI, RAG, LLM, Web Scrapping ⚪️ AI agents, automation systems, and scalable backend architecture for real business workflows I build AI powered products, automation platforms, and intelligent backend systems for startups and SaaS companies. As an AI developer, python developer, web developer, and automation engineer, I work on production systems that automate workflows, process large amounts of data, and integrate AI into real business operations. My experience includes ai development, chatbot development, machine learning systems, GPT integrations, web scraping platforms, and scalable backend architecture. I combine backend engineering, machine learning, and product focused thinking to create systems that solve real operational problems. Python AI Agent Development ✔️ Autonomous AI agents with reasoning and tool calling ✔️ Chatbot developer for SaaS and internal workflows ✔️ Multi agent orchestration and task automation ✔️ GPT 3, OpenAI, and open ai api integrations ✔️ AI lead generation and workflow automation systems ✔️ AI assistants connected to real business tools AI Developer RAG & Knowledge Systems ✔️ RAG pipelines with embeddings and vector databases ✔️ Enterprise knowledge assistants and analytics tools ✔️ AI chat over documents and internal data ✔️ Structured retrieval and intelligent search systems ✔️ Data extraction and processing automation Machine Learning & AI Features ✔️ Machine learning pipelines and prediction systems ✔️ Machine learning developer for AI driven products ✔️ NLP, deep learning, and intelligent automation ✔️ Computer vision and image recognition workflows ✔️ AI video processing and content automation ✔️ Data scientist and data analyst pipelines Automation & Integrations ✔️ API development and backend integrations ✔️ CRM synchronization and automation systems ✔️ WhatsApp API and Discord bot developer solutions ✔️ Job application automation systems ✔️ Social AI Developer media marketing automation tools ✔️ Selenium automation and browser workflows ✔️ Lead generation web scraper systems ✔️ Python web scraping and data mining pipelines ✔️ Data entry and workflow automation bots Backend & Web Development ✔️ AI Developer Python developer backend with FastAPI and Django ✔️ Backend developer for scalable AI systems ✔️ Full stack developer for SaaS products and dashboards ✔️ React developer and modern frontend integrations ✔️ PostgreSQL, Redis, async APIs, and background workers ✔️ Web design focused product architecture ✔️ Figma to production implementation workflows ◾️ Focused on ai development, machine learning, chatbot development, web scraping, backend engineering, AI automation, and scalable SaaS infrastructure. As a AI Developer Python and machine learning developer, I focus on backend architecture, AI automation, and data-driven systems. I’ve worked as data scientist and data analyst on projects involving computer vision, fractional cto, natural language processing, ai rag pipelines I focus on ai python developer backend systems, chatbot development, AI automation, and data-driven platforms. I don’t take projects focused only on wordpress developer work, PHP stacks, or marketing tasks, Swift and Flutter integrations for mobile products, php laravel, pinterest marketing, journalist,product manager, etsy marketing, deal closer, Laravel, PHP Laravel Have an AI project, chatbot idea, or machine learning system to build? Send an invite with a short description, and I’ll suggest the best approach.

✅ $300K+ Earned | Top Rated Plus | 8,000+ Hours | 38 Jobs | 100% Job Success I build production-grade LLM, RAG, and AI Agent systems. Not prototypes. Not API wrappers. Real Python pipelines, deployed on AWS, handling real traffic. If your AI needs to actually work in production, let's talk. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 LLM AND GENERATIVE AI ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ End-to-end LLM applications using OpenAI (GPT-4o), Claude, Gemini, LLaMA, and Mistral. Full RAG pipelines over your documents, databases, and knowledge bases. AI Agents and multi-agent workflows built on LangChain, LangGraph, and LlamaIndex. LLM fine-tuning with LoRA, QLoRA, PEFT, RLHF, and DPO on open-source models. Prompt engineering, tool calling, memory patterns, guardrails, tracing, and LLM evaluation harnesses. If your team is moving an LLM prototype to production, this is exactly where I work. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ FASTAPI AND DJANGO BACKENDS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FastAPI and Django are my backend stack of choice for AI-powered services. → Async REST APIs: FastAPI + Pydantic + SQLAlchemy + PostgreSQL → Scalable Django backends: DRF, Celery, Redis, multi-tenant SaaS architecture → FastAPI as the serving layer for LangChain, RAG, and agent endpoints → Auth systems: JWT, OAuth2, RBAC → Microservices, Docker, Kubernetes, CI/CD via GitHub Actions and GitLab CI → Swagger / OpenAPI documentation, clean architecture, full test coverage ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎙️ VOICE, AUDIO, VIDEO AND TEXT AI ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ → Voice AI agents and real-time speech pipelines (Whisper, AssemblyAI, Deepgram, ElevenLabs, VAPI, Retell AI) → STT / TTS integration, NLP, NER, and multimodal LLM pipelines → Computer Vision: YOLO, OpenCV, CNNs, Vision Transformers → Diffusion pipelines and image / video generation workflows → Audio transcription, classification, and processing at scale ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 ML, MLOPS AND VECTOR SEARCH ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ML Stack: PyTorch, TensorFlow, HuggingFace, scikit-learn, XGBoost Vector DBs: Pinecone, Weaviate, Milvus, FAISS, pgvector, Elasticsearch Serving: vLLM, TGI-style inference, batching, caching, routing, streaming responses MLOps: MLflow, DVC, Prefect, Ray, eval harnesses, regression testing, tracing Cloud: AWS (SageMaker, EKS, EC2, Lambda, Bedrock, DynamoDB, CloudFront), Terraform, GPU providers ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏆 WHAT MAKES ME DIFFERENT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Most AI freelancers deliver a Jupyter notebook or a thin wrapper around an API. I architect and ship the full system. I have 14+ years of engineering experience and a background as a Fractional CTO and AI/ML Team Lead. I have led teams and personally written the code. I think in systems, delivery, and cost control, not just individual features. At Alethea AI, I was part of the team that built a cloud-native architecture on AWS capable of accommodating 30 million visitors, highlighted in an official AWS case study. The platform publicly closed a $16M token sale. That is the level of production reliability I bring to every engagement. ✔ Architecture designed for scale from day one ✔ Clean code, full documentation, and production observability ✔ I write the code myself, no offshoring your project ✔ Reliable delivery: timelines, milestones, and accountability ✔ Cost-controlled cloud and GPU workloads ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤝 WHO I WORK WITH ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Startups validating AI-first MVPs fast. Scaleups moving LLM prototypes to production. Product teams that need a senior AI/ML engineer who can own the full stack, from fine-tuned model to FastAPI endpoint to deployed AWS service. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📩 Message me with your current state, timeline, and constraints. If I can help, I will tell you exactly how, usually within a few hours.

Full stack developer who ships complete web products end to end: React and Next.js on the front, Node and Python on the back, with AI built in where it earns its place through LLM features, RAG, and AI agents. PhD in Artificial Intelligence, $100K+ earned, 100% Job Success, Top Rated Plus. I specialize in full stack development with React, Node, and Python, and in the AI layer that sits on top: LLM integration, RAG pipelines, AI agents, and applied machine learning and computer vision when a product needs them. Over 8 years of engineering experience, including R&D at SoftServe and 42 completed Upwork projects for startups and US founders, gives me the range to own a product from the database to the UI to the model behind it. Recent work, building the whole product and the AI inside it: Omni-channel AI platform for business automation, built end to end in React and Node. RAG pipeline with role-based access control for enterprise Q&A. React and Node fitness platform with AI integration, across web and mobile. AI-powered synthetic data generation system for machine learning. Caregiver AI copilot app for a HealthTech client, on a HIPAA-compliant architecture. Computer vision detection engine for a global retailer that raised accuracy by 36% and cut manual QA by 65%. Proficient in Python, TypeScript, and JavaScript, with React, Next.js, and Redux on the frontend and Node.js, NestJS, Express, FastAPI, GraphQL, and REST APIs on the backend. I work across PostgreSQL, MySQL, and MongoDB, deploy on AWS with Lambda, API Gateway, Docker, and CI/CD, and build the AI layer with OpenAI, Claude, Gemini, Llama, Hugging Face, and LangChain. If you need a full stack developer who can take an AI product from idea to shipped, not just prototype a model, I would be glad to help. Click Invite with a short note on what you are building and the outcome you want.

Top-Rated professional with 8+ years of experience in machine learning, deep learning, artificial intelligence, data science, and predictive analytics. I design, train, and deploy production-grade models in natural language processing (NLP), computer vision, reinforcement learning, and retrieval-augmented generation (RAG) using cutting-edge frameworks like PyTorch, TensorFlow, Keras, and Hugging Face Transformers. My strength is delivering end-to-end AI solutions—from data engineering and feature engineering to MLOps and cloud deployment—on AWS SageMaker, Google Cloud Vertex AI, Docker, and Kubernetes. CORE SERVICES • Large Language Model (LLM) Development • Custom GPT-4, GPT-3.5, Llama 3, Mixtral, and open-source transformer fine-tuning • Retrieval-augmented chatbots, question-answering systems, knowledge-base search • Prompt engineering, evaluation, and agentic workflows with LangChain, LangGraph, LlamaIndex, LangFlow • Computer Vision and Multimodal AI • Image classification, object detection, segmentation, OCR, and visual search • Vision-language models, CLIP, BLIP, and multimodal transformers for product recommendation and analytics • YOLO, Detectron2, OpenCV, and TensorRT optimization for edge and cloud • Advanced Machine Learning & Deep Learning • Supervised learning, unsupervised learning, reinforcement learning, semi-supervised learning • Neural networks, CNN, RNN, LSTM, Transformers, BERT, RoBERTa, FastText, XGBoost, LightGBM, CatBoost • Time-series forecasting, anomaly detection, recommender systems, speech recognition, audio processing • End-to-End MLOps and Data Engineering • Data pipelines, ETL, Apache Spark, feature stores, CI/CD, GitHub Actions • Scalable deployment on AWS, GCP, Docker, Kubernetes, serverless functions • Monitoring, drift detection, automated retraining, model registry, and A/B testing IMPACT HIGHLIGHTS • Boosted recommendation accuracy by 22 percentage points with deep collaborative filtering and matrix factorization • Cut inference latency 40 % using GPU optimization, TensorRT, and autoscaling clusters • Reduced cloud costs 30 % through optimized resource allocation and spot instances • Delivered more than 50 production AI projects across e-commerce, fintech, healthcare, and SaaS TECHNICAL STACK Python, SQL, Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Keras, Hugging Face Transformers, SpaCy, NLTK, FastText, BERT, RoBERTa, OpenCV, YOLO, Detectron2, CLIP, BLIP, TensorRT, Apache Spark, Docker, Kubernetes, AWS (EC2, S3, SageMaker, Lambda), Google Cloud (Vertex AI, BigQuery, Cloud Functions), Git, GitHub Actions, Tableau, Power BI, Matplotlib, Seaborn, R-Shiny EDUCATION AND CERTIFICATIONS • MSc in Data Science, University of Waterloo (full-merit scholarship). Thesis in multimodal NLP and computer vision • BSc in Computer Science, University of Bradford (Top 1 %, merit scholarship) • 20+ professional certificates: Stanford Deep Learning, Machine Learning and NLP specializations, Google TensorFlow Developer, Google Data Analytics, AWS Certified Machine Learning, Google Cloud Professional Data Engineer WHY HIRE ME • Proven ability to translate complex deep-learning research into scalable cloud solutions that raise accuracy, speed, and ROI • Expertise across the full data lifecycle: data collection, preprocessing, feature engineering, model training, hyperparameter tuning, deployment, monitoring, and maintenance • Clear, prompt communication in English, reliable delivery, and transparent project management using Agile and Scrum Invite me to discuss how we can apply cutting-edge machine learning, deep learning, and AI to solve your business challenges and accelerate growth.

Hi! I work with image and video data annotation for computer vision projects. I focus on clean, accurate labels and always follow project guidelines carefully. I have experience with bounding boxes, polygons, semantic segmentation, and image masking. I understand how annotation quality affects model performance, so I pay close attention to details and edge cases. Tools I use: CVAT | Roboflow | LabelMe | MakeSense.ai and any other I can quickly adapt to new annotation platforms if needed. If you need a reliable annotator who delivers consistent and well-structured datasets, I’m ready to help. Skills: -Image & Video Annotation -Bounding Boxes -Polygon Annotation -Semantic Segmentation -Image Masking As a competitive and quick learner, I ensure top-notch outputs. Your project deserves the best start, and I’m here to provide it through precise and reliable data annotation.

Expert-Vetted Top 1% on Upwork | Top 10 Machine Learning Agency on Upwork | 7+ Years in Production AI | Sports, Industrial, Satellite, Healthcare I'm a Computer Vision Engineer and Machine Learning Engineer with 7+ years delivering production-grade AI systems. Upwork has Expert-Vetted me as a Top 1% specialist in this niche, and our team is ranked among the Top 10 Machine Learning agencies on Upwork. I work with product teams and startups across sports analytics, industrial inspection, satellite and aerial imagery, access control, healthcare, and generative AI — any domain where visual data needs to become reliable, actionable output running in production. As a Computer Vision Engineer, my core work covers object detection, multi-object tracking, pose estimation, image segmentation, image processing, and real-time video analysis. I build end-to-end pipelines in Python using OpenCV, PyTorch, TensorFlow, and Keras, from dataset preparation and model training through TensorRT optimization and Docker deployment on cloud or NVIDIA Jetson edge hardware. I use C++ for performance-critical components where Python latency is a bottleneck. The domains where computer vision engineer experience creates the most value: sports analytics (player tracking, performance metrics, automated statistics from broadcast video), industrial inspection (defect detection and quality control on production lines), satellite and aerial imagery (object detection and segmentation for infrastructure analysis), access control and security (vehicle identification, multi-camera real-time monitoring), and healthcare and biomechanics (pose analysis, body measurement, and biomedical signal processing connected to AI coaching backends). As a Machine Learning Engineer and Data Scientist, I also build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When projects require generative AI or LLM components, I deliver RAG pipelines with LangChain and vector databases, synthetic dataset generation tools, and document processing systems using the Gemini API. Regardless of domain, the computer vision engineer approach stays the same: combine OpenCV-based preprocessing with deep learning inference into a scalable, testable pipeline that holds up under real-world conditions — variable lighting, occlusion, low resolution, multi-camera setups, and edge hardware constraints. I work with YOLO-family models, ByteTrack and DeepSORT for tracking, MediaPipe and MMPose for pose estimation, TensorRT and ONNX for inference optimization, and FastAPI with Docker for production deployment. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope complex systems, split parallel workstreams, and deliver a full Computer Vision Engineer engagement faster than a solo contributor could. Clients typically work with me when they need: - a Computer Vision Engineer to build detection, tracking, or segmentation systems from scratch - a Machine Learning Engineer to productionize a research model and meet latency requirements - a Data Scientist who can go from raw data to a deployable model end-to-end - an AI engineer to integrate LLM or generative components into an existing backend - real-time or edge inference optimized for NVIDIA Jetson or mobile deployment - a Python developer who understands both the AI pipeline and the surrounding system architecture If you need a Computer Vision Engineer with the full stack from dataset to deployed API, let's talk. Main stack: Python, OpenCV, PyTorch, TensorFlow, Keras, YOLO, ByteTrack, MediaPipe, MMPose, CoreML, TFLite, TensorRT, ONNX, scikit-learn, FastAPI, Docker, PostgreSQL, C++, NumPy, pandas, SciPy.

Edgar Margffoy is a highly skilled Senior Software Engineer with extensive experience driving innovation in the open-source scientific Python ecosystem, contributing to major projects such as SciPy, CuPy, NumPy, Spyder IDE, PyTorch, and Torchvision. With expertise spanning Python, CUDA, C/C++, Rust, and Elixir, he specializes in high-performance computing, GPU acceleration, and large-scale system architecture. His work includes leading efforts to remove the Global Interpreter Lock (GIL) from CPython in collaboration with Meta, achieving significant performance gains in scientific computing libraries. Edgar’s professional background covers end-to-end software development, ML systems design, and cross-language integrations for high-impact applications in academia, industry, and finance. Fluent in English, French, and Spanish, he combines deep technical acumen with a proven track record of delivering complex, performance-critical solutions for global audiences.

We analyze our clients' business demands, recommend suitable solutions based on our subject matter experience, and create tailored solutions to meet their goals. 📌Expertise: ● Generative AI, LLM models, chatGPT, openAI, Prompt engineering, Langchain ● AI Bots (using Google Dialog Flow, Watson Assistant, RASA, AWS Lex) ● Predictive Algorithm (e.g., Stock Market prediction) ● Natural Language Processing (e.g., sentiment analysis) ● Deep Learning (e.g., emotion detection) ● Machine Learning (e.g., customer churning) ● Computer Vision (e.g., Facial Recognition, Object Detection, and Recognition) ● VAPI, Retell, Voicebot (IVR) using Twilio, Voximplant, CVG, Avaya, etc, and integrated voice bots on GCP CCAI and AWS Connect, Fine-tuning the LLM models for Classification, Named Entity Recognition (NER), Summarisation, Q&A, Sentiment Analysis, Recommendation system, Forecasting/Prediction models. ● Classification Problems 📌Tools: ● Languages: Python ● Frameworks: TensorFlow, Keras ● Cloud: Microsoft Azure, AWS, Watson ● Machine Learning: Bayesian, Gaussian processes, PyTorch, Scikit, Tensorflow, regression models, SVC, SVM, classifier models, deep learning with neural networks (R-CNN, Mask-RCNN, SSD, YOLO), NumPy, Pandas ● Computer Vision: OpenCV ● NLP: NLTK, Spacy, Bayesian, NER, BERT, GPT3 (prompt engine DaVinci-instruct-beta and DaVinci), Context Analysis, Theme Analysis ● Web Scraping/Automation using: BeautifulSoup, Scrapy, Selenium, Playwright, and AIOhttp. ● Data Analysis and Visualization: Pandas, NumPy, Matplotlib, Seaborn, DocumentAI, Plotlib

𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝘄𝗶𝘁𝗵 5+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗶𝗻𝗴 𝘀𝗺𝗮𝗿𝘁, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, 𝗮𝗻𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀. 𝗜’𝘃𝗲 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗳𝗼𝗿 𝗯𝗶𝗴𝘁𝗲𝗰𝗵 𝗮𝗻𝗱 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗹𝗶𝗸𝗲 𝗛𝘂𝗮𝘄𝗲𝗶 𝗮𝗻𝗱 𝗦𝗶𝗻𝗴𝘂𝗹𝗮𝗿𝗶𝘁𝘆𝗡𝗲𝘁, 𝗯𝗿𝗶𝗻𝗴𝗶𝗻𝗴 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗹𝗲𝘃𝗲𝗹 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁. 𝗜 𝗵𝗲𝗹𝗽 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗯𝘂𝗶𝗹𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗔𝗜 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, 𝗱𝗲𝗽𝗹𝗼𝘆 𝗟𝗟𝗠𝘀, 𝗮𝗻𝗱 𝗰𝗿𝗲𝗮𝘁𝗲 𝗳𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 𝗠𝗟 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝘄𝗶𝘁𝗵 𝗺𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗶𝗺𝗽𝗮𝗰𝘁. 🧠 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 ✅ 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 & 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻: Designing intelligent, autonomous AI agents and building RAG pipelines ✅ 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 (NLP) & 𝗥𝗔𝗚: LLM integration, semantic search, knowledge retrieval systems ✅ 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: Image classification, object detection, and advanced CV pipelines ✅ 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Django, Flask, React.js – integrating AI/ML into web and mobile applications ✅ 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀: AWS, Azure, Huawei Cloud – scalable deployment, CI/CD, and infrastructure optimization 🌍 Worked With 📍SingularityNet – AI, AGI Research & Transformers, GPT 📍iCogLabs – ML Research, LLM, Transformers 📍Huawei – Cloud Engineering & Infrastructure Optimization 📍Dan Energy – ML for Agriculture Forecasting 💡 Why Choose Me? ✅ Proven results: 28%+ accuracy improvement in ML pipelines ✅Strong communication & agile mindset ✅Production experience with CI/CD, Docker, Git ✅Passionate about building AI that solves real problems Let's connect and bring you idea to life. #MachineLearning #DeepLearning #ArtificialIntelligence #AI #ML #LLM #LargeLanguageModels #GPT #AgenticAI #LangChain #RAG #NLP #NaturalLanguageProcessing #TextMining #SemanticSearch #Chatbots #QuestionAnswering #ComputerVision #ImageProcessing #ObjectDetection #ImageClassification #CV #OpenCV #FullStackDevelopment #WebDevelopment #Django #Flask #ReactJS #Frontend #Backend #APIDevelopment #CloudComputing #AWS #Azure #GCP #HuaweiCloud #DevOps #Docker #CI/CD #Infrastructure