Hire the Best Amazon SageMaker Developers

I've architected and shipped production AI systems running across multiple countries, not demos. Among them: PropAI, a multi-tenant, Claude-powered WhatsApp AI agent platform on Meta's Cloud API serving real-estate agencies across Africa; CropSight, a GAN-based computer-vision system for precision agriculture; and an agentic financial-intelligence platform built on LangGraph + FastAPI. PhD in Machine Learning, 15 years in AI, former CTO. I help startups and enterprises turn LLM capabilities into reliable, deployable architecture (retrieval, memory, tool use, orchestration, voice, evaluation, and scalable cloud infrastructure), not prompt-engineering experiments that fall over in production. SYSTEMS I'VE SHIPPED - PropAI: multi-tenant WhatsApp AI agent platform for real-estate agencies and agents (Meta Cloud API, Embedded Signup, Coexistence). Claude-driven LLM orchestration via n8n, with RAG + agentic responses on agents' live numbers. Deployed across African markets on region-isolated, data-residency-compliant AWS; property-market feasibility studies delivered for UK clients. - Agentic financial-intelligence platform: LangGraph orchestration over structured financial data, generating personalized audio content end-to-end (LLM + TTS). - CropSight: computer-vision platform for precision agriculture and corporate-farm compliance. Fuses satellite, drone, and mobile imagery with GAN-based super-resolution mapping low-resolution sources to high-resolution field detail. Deployed across African markets. -Elena AILL (research collaboration): advising on architecture approach, technical direction, and MVP build for a from-scratch, non-transformer persistent-memory AI research project. - Enterprise AI & telematics integration for PepsiCo, plus AI architecture and code audits for international clients. WHAT I BUILD - End-to-end RAG pipelines (hybrid retrieval, reranking, vector DBs) - Agentic & multi-agent systems with tool use, memory, and orchestration - Voice AI: TTS, voice-to-voice / voice conversion, and production voice-agent pipelines - Fine-tuning and LoRA/QLoRA pipelines - Persistent-memory and continual-learning systems - Workflow automation at production scale (n8n, self-hosted) - Scalable inference infrastructure and cloud-native ML systems on AWS - CI/CD and MLOps workflows for AI products - LLM evaluation and performance-benchmarking frameworks STACK ML/DL: PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, OpenCV · LLMs: Claude, GPT, Llama, Mistral, open-source models · Orchestration: LangGraph, LangChain, LlamaIndex, n8n (production, self-hosted), custom · Voice/Speech: TTS, voice-to-voice (RVC), Whisper STT · Vector/DB: Qdrant, pgvector/Supabase, Pinecone, FAISS, BGE reranker · Backend: FastAPI · Cloud: AWS (EC2, EKS, S3, IAM, monitoring) · Deployment: Docker, Kubernetes · WhatsApp Business / Meta Cloud API Most developers build AI demos. I architect systems with clear technical decisions, cost-awareness, evaluation built in, and production-readiness from day one, and I work at the research edge of memory and continual-learning architecture, not just integration. If you're building an AI-native product and need architectural clarity, scalability strategy, and senior technical leadership, I can structure and execute it. I also do fixed-scope AI architecture and code audits, a fast, low-risk way to start.

I help startups, enterprises, and innovators unlock the true potential of AI and AWS Cloud by designing, building, and scaling intelligent solutions. With over 16 years of experience in software engineering, cloud consulting, and AI-driven development, I specialize in Agentic AI, AI Agents, Generative AI, and AWS architectures that solve real business challenges. My Expertise: Agentic AI & AI Agents: I design and deploy autonomous AI systems that can reason, plan, and execute tasks with minimal human intervention. From customer support agents to knowledge assistants and process automation, I help companies bring agent-driven intelligence into their workflows. Generative AI Applications: I build chatbots, RAG pipelines, text-to-speech systems, and document intelligence solutions using Amazon Bedrock, LangChain, and LLMs (GPT, Claude, etc.). My focus is on practical AI that drives productivity and growth. AWS Cloud Architecture: As an AWS Solutions Architect, I design and implement cloud-native solutions using EC2, S3, Lambda, SageMaker, EKS, Glue, Athena, and more. I ensure your systems are secure, cost-optimized, and scalable. AI/ML on AWS: From training custom models on SageMaker to deploying scalable inference endpoints, I help businesses leverage AWS’s AI ecosystem to stay ahead of the curve. End-to-End Delivery: I follow a structured approach—requirements discovery, architecture design, development, DevOps pipelines, and long-term maintenance. My goal is to deliver production-ready solutions that clients can rely on. Why Work With Me: Proven experience delivering AI and AWS projects across industries like real estate, finance, compliance, IoT, and healthcare. Strong background in both technical execution and business impact, making me equally comfortable working with CTOs and business leaders. Deep knowledge of AI agents, multi-agent orchestration, and AWS AI/ML services that sets me apart from generalist developers. A commitment to building long-term client relationships through clear communication, milestone-based delivery, and measurable results. If you are looking for a partner who can combine cutting-edge AI innovation with robust AWS cloud practices, let’s collaborate to turn your vision into a scalable, intelligent solution. AI Development, Agentic AI, AI Agents, Autonomous AI, Generative AI, Conversational AI, AI Chatbot Development, AI Automation, RAG (Retrieval Augmented Generation), LangChain, Amazon Bedrock, AWS Solutions Architect, AWS AI/ML, AWS SageMaker, AWS Lambda, AWS EC2, AWS S3, AWS Glue, AWS EKS, AWS CloudFormation, Cloud Engineering, Cloud Migration, DevOps on AWS, Machine Learning, Deep Learning, Natural Language Processing (NLP), LLM (Large Language Models), Voice AI, AI Integration, AI Workflow Automation

Generalist developers build websites; enterprise engineers build high-availability systems. With over 10 years of experience and a dual Master's Degree in IT, I build secure, high-scale web platforms engineered specifically for the complex data demands of the Energy and Tourism sectors. I specialize in replacing legacy bottlenecks with modern, blazing-fast Laravel, Vue.js, and React architectures. 🎯 RECENT WORK & DOMAIN SPECIALTIES: • AI Feature Integration: Embedding LLMs (OpenAI, Anthropic) and custom ML models directly into Vue.js/React frontends and PHP/Laravel backends. • Energy Infrastructure: Designing data-heavy dashboards, tracking metrics, and processing complex cloud-based calculations. • Tourism & Logistics SaaS: Building multi-tenant booking engines, payment gateway integrations, and real-time inventory management. • Legacy Migrations: Rewriting outdated PHP codebases into highly testable, secure Laravel and AWS-native web applications. 🛠️ PROVEN TECH STACK: • Backend Ecosystem: PHP, Laravel, Python, Nest.js, MySQL, PostgreSQL, MongoDB • Modern Frontend: React, Next.js, Vue.js, Vuex/Redux, TailwindCSS • Cloud Infrastructure: AWS Certified (Cloud Practitioner, Amazon SageMaker) 🎓 EDUCATION & TRUST: • Dual Master’s Degree in Information Technology: ITAM (Mexico) + Institut National des Télécommunications (Paris). • Engineering Principles: Clean Code (SOLID), secure API endpoints, and comprehensive automated testing. Let's turn your complex workflows into a seamless, high-performance web application. Click "Invite" to discuss your project requirements.

About Me: I’m an AWS-certified Machine Learning Engineer with 4+ years of hands-on experience building and deploying production-grade AI and ML systems. I specialize in Large Language Model (LLM) development, Retrieval-Augmented Generation (RAG) pipelines, and Natural Language Processing (NLP) applications such as classification, summarization, and sentiment analysis. With deep expertise in AWS SageMaker and Bedrock, I help organizations move generative AI projects from proof-of-concept to production, ensuring scalability, compliance, and performance. My focus is on building reliable, maintainable AI solutions that integrate seamlessly into existing business workflows. Currently pursuing my MSc in Computer Science (AI/ML) at Georgia Tech, I combine strong theoretical foundations with proven practical skills to deliver solutions that truly drive business outcomes. Services I Offer: 1. Fine-tuning Large Language Models (LLMs) for domain-specific applications 2. Building end-to-end RAG (Retrieval-Augmented Generation) systems with vector databases (Pinecone, Bedrock KB, Opensearch ) 3. Developing AI Agents for intelligent automation and knowledge retrieval 4. Designing and deploying NLP solutions – classification, summarization, sentiment analysis, entity extraction 5. Prompt engineering and model optimization for improved performance and accuracy 6. Production ML Systems – CI/CD pipeline automation, model versioning, and continuous monitoring using AWS SageMaker and related services Skills: Programming: Python, PySpark, JavaScript, FastAPI AI/ML: LLM Development (Hugging Face, LangChain, Bedrock), NLP (spaCy, Transformers) Frameworks/Libraries: Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch Cloud: AWS (SageMaker, Bedrock, Lambda, Glue, API Gateway, CloudWatch, S3) Model Lifecycle: MLflow, CI/CD for ML, Model Monitoring Databases: SQL, Pinecone (Vector DB), DynamoDB AI Optimization: Prompt Engineering, Model Fine-Tuning, Quantization Visualization: Tableau, AWS QuickSight Education: 🎓 MSc in Computer Science (AI/ML) – Georgia Institute of Technology, Atlanta, United States. 🎓 MSc in Cloud Computing (Software Engineering) – Munster Technology University, Cork, Ireland 🎓 BEng in Computer Engineering – Federal University of Technology, Owerri, Nigeria. Certifications: ✅ AWS Certified Solutions Architect – Associate ✅ AWS Certified Machine Learning – Specialty ✅ AWS Certified GenAI Developer – Professional (In progress) Industry Experience: AWS Data/ML Engineer @ HiveTekCorp (Dec 2025 - till present) MLOps Engineer @ Veterans United (Sept 2022 - Sept 2023) Data Scientist @ Veterans United (Dec 2020 - Sept 2022)

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. ✅ $300K+ Total earnings ✅8+ Years experience as Fullstack Developer ✅ 80+ Projects Completed. ✅Top Rated Plus. ✅ 100% Job Success Rate. ✅ AWS certified ✅ Python certified ✅50hrs/week available ✅ 4+ AI/ML Integrations 🔴 I am in the 𝗧𝗼𝗽 𝟭% overall on Upwork. 🔴 I am in the 𝗧𝗼𝗽 𝟰% overall on Stack Overflow. 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 / 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬: 𝐂𝐫𝐞𝐰𝐀𝐈 / 𝐀𝐮𝐭𝐨𝐆𝐞𝐧 / 𝐀𝐦𝐚𝐳𝐨𝐧 𝐏𝐨𝐥𝐥𝐲 / 𝐃𝐞𝐞𝐩𝐠𝐫𝐚𝐦 / 𝐑𝐚𝐬𝐚 𝐀𝐈 / 𝐑𝐢𝐯𝐞𝐫𝐬𝐢𝐝𝐞 𝐒𝐃𝐊 / 𝐀𝐳𝐮𝐫𝐞 𝐀𝐈 𝐒𝐩𝐞𝐞𝐜𝐡/𝐋𝐋𝐌 𝐅𝐢𝐧𝐞𝐭𝐮𝐧𝐢𝐧𝐠: 𝐔𝐬𝐢𝐧𝐠 𝐏𝐄𝐅𝐓 / 𝐋𝐨𝐑𝐀 / 𝐐𝐋𝐨𝐑𝐀 / 𝐑𝐋𝐇𝐅 / 𝐃𝐏𝐎 / 𝐒𝐅𝐓 𝐰𝐢𝐭𝐡 𝐔𝐧𝐬𝐥𝐨𝐭𝐡 / 𝐀𝐱𝐨𝐥𝐨𝐭𝐥 / 𝐇𝐮𝐠𝐠𝐢𝐧𝐠𝐅𝐚𝐜𝐞 𝐀𝐮𝐭𝐨𝐓𝐫𝐚𝐢𝐧 / 𝐒𝐚𝐠𝐞𝐌𝐚𝐤𝐞𝐫 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠/𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: 𝐋𝐋𝐀𝐌𝐀 𝟑 / 𝐌𝐢𝐬𝐭𝐫𝐚𝐥 𝟕𝐁 / 𝐌𝐢𝐱𝐭𝐫𝐚𝐥 𝟖𝐱𝟕𝐁 / 𝐅𝐚𝐥𝐜𝐨𝐧 / 𝐆𝐞𝐦𝐦𝐚 / 𝐁𝐥𝐨𝐨𝐦 / 𝐎𝐫𝐜𝐚 𝐌𝐢𝐧𝐢 / 𝐆𝐮𝐚𝐧𝐚𝐜𝐨/𝐅𝐚𝐬𝐭 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞: 𝐯𝐋𝐋𝐌 / 𝐓𝐆𝐈 / 𝐓𝐞𝐧𝐬𝐨𝐫𝐑𝐓-𝐋𝐋𝐌 / 𝐒𝐊𝐏𝐢𝐥𝐨𝐭/𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: 𝐌𝐮𝐥𝐭𝐢-𝐭𝐮𝐫𝐧 / 𝐅𝐞𝐰-𝐬𝐡𝐨𝐭 / 𝐙𝐞𝐫𝐨-𝐬𝐡𝐨𝐭 / 𝐑𝐀𝐆-𝐁𝐚𝐬𝐞𝐝 / 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐚𝐛𝐥𝐞 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬/𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: 𝐀𝐖𝐐 / 𝐆𝐏𝐓𝐐 / 𝐆𝐆𝐔𝐅 / 𝐆𝐆𝐌𝐋 / 𝐐𝐋𝐎𝐑𝐀 / 𝐏𝐓𝐐 / 𝐃𝐐/𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 / 𝐋𝐥𝐚𝐦𝐚𝐈𝐧𝐝𝐞𝐱 / 𝐂𝐡𝐫𝐨𝐦𝐚 / 𝐅𝐀𝐈𝐒𝐒 / 𝐏𝐢𝐧𝐞𝐜𝐨𝐧𝐞 / 𝐐𝐝𝐫𝐚𝐧𝐭 / 𝐖𝐞𝐚𝐯𝐢𝐚𝐭𝐞 / 𝐌𝐢𝐥𝐯𝐮𝐬 Greetings! I am Atul Kumar, a seasoned developer with over 8+ years of experience in web application and software development. 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 🔹 AI Agents / Voice Agents: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, HuggingFace AutoTrain 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts 🔹 Quantization: AWQ, GPTQ, GGUF, GGML 🔹 RAG Systems: LangChain, LlamaIndex, ChromaDB, FAISS, Pinecone, Qdrant 🔹 Data Pipeline: Synthetic dataset generation, LLM evaluation frameworks 🔹 LLM Deployment: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK 🖥️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API. 🔹 Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore. 🔹 Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design. 🔹 Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure. 🔹 Experienced with Nest.js for enterprise-grade server-side applications. 🔹 LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations. 🔹 Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines. 🔹 Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping. 🔹 Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium. 🌐 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends. 🔹 Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA). 🔹 Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs. 🛠️ 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: 🔹 Skilled in Python ML libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn. 🔹 Familiar with OpenAI APIs, Whisper, GPT models, ChatGPT integration, and AI chatbot deployment. 🔹 Experienced with AWS (Lambda, S3, EC2, Sagemaker), Git/GitHub, and Linux environments (Ubuntu, CentOS). 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma. 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. 🔹 Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, H My expertise spans both frontend and backend technologies, as well as a variety of tools and additional skills that enable me to deliver comprehensive solutions. I am dedicated to providing high-quality, efficient solutions that cater to the unique needs of each project. My diverse skill set allows me to approach challenges from multiple angles, ensuring robust and innovative solutions. Warm regards, Atul Kumar

Expert-Vetted (Top 1% of Upwork talent)🏆🏆🏆 🎓 NLP, ML, LLM and AI expert 💬 custom Chatbots using OpenAI/ AWS bedrock, langchain, vector databases. LLMs like chatgpt, GPT4, Claude3.5, Llama and Falcon 🚀 AI Agents development using frameworks like LangGraph, Autogen or CrewAI 📊 Sentiment Analysis, Text Classification, text generation, text summarization, Topic modelling, and Data Clustering 🚀 Certified AWS Architect skilled in designing and developing AI pipelines using AWS Bedrock and SageMaker, lambda, RDS specializing in NLP, ML, LLM, and AI technologies. 💬 Finetuning open-source LLMs on custom data 🤖 Low code/No code AI automations using tools like Make.com and Zapier 🖼️ Custom image generation using stable diffusion models 🎥 Object Detection, Motion Tracking, Scene Recognition, and Anomaly Detection. 🎯 Recommendation Engines Expert: Specialized in designing and implementing recommendation systems using AWS Personalize, Google Cloud Recommendations AI, and custom solutions built from scratch. Unlike many pseudo-AI experts who simply know how to call OpenAI or Anthropic APIs, I bring 𝟗 𝐲𝐞𝐚𝐫𝐬 of deep, hands-on experience in the AI field, mastering everything from traditional ML to advanced Generative AI. I understand the ins and outs of building real AI solutions that go far beyond basic API integrations. 🤖 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐋𝐋𝐌) 𝐚𝐧𝐝 𝐀𝐈: ➜ Fine Tuning: Specialized in finetuning LLMs like llama, openai models, qwen2.5, mistral for domain adaptation, style adaptation, persona writing, QnA, medical, legal, and more. ➜ LLM Synthetic Dataset Generation for finetuning ➜ LLM Evaluation Framework ➜ LLM Deployment: On Cloud platforms like AWS DLC, Lambda, and more. ➜ AI Agents / Voice Bots: Proficient with CrewAI/AutoGen, Amazon Polly, Deepgram, OpenAI swarm. ➜ AI Automation using make and zapier ➜ custom LLM Deployment: On AWS/GCP/RunPod using SkyPilot, vLLM/TGI frameworks 🛠️ 𝐓𝐨𝐨𝐥𝐬/𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: ➜ Langchain, LangServe, LangSmith, llamandex, Heystack, HuggingFace, Transformers ➜ VectorDB: Chromadb, FAISS, PineCone, Qdrant, opensearch, Azure Cosmosdb, Milvus ➜ Flowise AI, LangFlow, StackAI ➜ GCP Vertex AI, Google Colab, AWS Sagemaker, Azure ML studio, Runpod, Vast AI 🐍 Python Frameworks: ➜ Low-Code UI Tools: Streamlit, Gradio, Panel API Frameworks: FastAPI, Flask, Django, Pydantic Machine Learning / Deep Learning Frameworks:PyTorch, TensorFlow, Keras, HuggingFace Transformers ➜Data Wrangling / Processing:Pandas, NumPy, Dask, Polars, Scikit-learn ➜Model Serving and Deployment: Triton Inference Server, TorchServe, ONNX Runtime, MLflow, BentoML 🗄️ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: ➜ SQL: MySQL, PostgreSQL, SQLite, Azure SQL ➜ NoSQL: MongoDB, DynamoDB, Firebase, Redis ➜ GraphDB: Neo4j, Amazon Neptune 💻 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐓𝐞𝐜𝐡: ➜ React, Angular, Next.js, Vue.js, Tailwind CSS, Bootstrap I am lead AI/ML engineer with more than 9 years of experience traditional ML, deep learning, advanced NLP, generative AI LLMs like chatgpt, GPT4, Llama, Falcon and Mistral, Mixtral, Qwen. Strong experience in executing custom AI and NLP solutions and integrating them in business workflows, along with advanced skills in object detection, motion tracking, scene recognition, and anomaly detection. If you're working with any sort of data for your project, I'm here to help! Whether you have raw and unprocessed data that needs cleaning, or you need help scraping and annotating new data, I've got you covered. As an AI professional with a specialization in AI, NLP, LLMs, I've worked with various models, including GPT3, Chatgpt/GPT4, llama3, Qwen, and GPT-J, and have experience in applying state-of-the-art NLP techniques to projects. If you need help training a deep learning model, I can help you experiment with cutting-edge models such as T5, Bert, M2M, FLAN-T5 and RoBerta to achieve the best possible performance. I can train/Fine tune open source LLMs like Llama, mpt7b, Falcon using efficient techniques like QLora. I'm well-versed in working with transformer-based models and can help you fine-tune and transfer learning to get the most out of your data. If you have text data I can help with text classification, natural language understanding, and natural language generation. If you're looking for a chatbot or conversational AI solution, I can help you develop a solution using Chatgpt, langchain and vector databases like pinecone. In addition to NLP, I'm experienced in working with sequential data, time series forecasting, and PyTorch code debugging. I have successfully completed over 60 jobs on Upwork, logging more than 4000 hours of work while consistently achieving client satisfaction. If you're looking for an AI professional who can help with anything remotely related to LLMs or AI Agents, any other NLP/ML task don't hesitate to reach out to me. I'll be more than happy to assist you in achieving success with your project.