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✅ AWS Certified Machine Learning Specialist 🟢 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 🟢 𝗠𝗖𝗣, 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, 𝗥𝗔𝗚, 𝗩𝗼𝗶𝗰𝗲 𝗔𝗴𝗲𝗻𝘁𝘀 🟢 7+ 𝗬𝗲𝗮𝗿 🟢 Available now 🟢 Top Rated Plus 🔴 Top 1% Talent on Upwork 🟢 𝗠𝗖𝗣, 𝗔𝟮𝗔, 𝗢𝗽𝗲𝗻𝗖𝗹𝗮𝘄, 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲, 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵 ✅ Tech Stack & Expertise ❇️ AI & ML: Deep Learning, TensorFlow, PyTorch, Neural Networks, Generative AI, Data Science, NLP ❇️ LLM Engineering: OpenAI, ChatGPT API, LLaMA 3, Mistral, Mixtral, LoRA, QLoRA, DPO, RLHF, PEFT, Prompt Engineering, Vector DBs (Pinecone, Weaviate, FAISS), RAG Pipelines ❇️ AI Agents: AI Chatbots, Bots, Classifiers, Voice AI, TTS, STT, CrewAI, AutoGen ❇️ Agentic AI & Protocols: MCP (Model Context Protocol), A2A, OpenClaw, Claude Code, Cursor AI, Windsurf, AG-UI, Pydantic AI, Google ADK, OpenAI Agents SDK ❇️ Agent Frameworks: LangGraph, OpenAgents, Haystack, Microsoft Agent Framework, Anthropic Agent SDK ❇️ Latest Models: Claude 4.5/4.6 Opus, GPT-4o, o1/o3, Gemini 2.5 Pro, DeepSeek, LLaMA 3.3, Kimi K2.5 ❇️ AI Coding: Claude Code, Cursor IDE, Windsurf, Lovable, Replit AI, GitHub Copilot ❇️ Voice AI: Hume AI, Deepgram Nova-3, PlayHT, Bland AI, ElevenLabs Conversational AI ❇️ Python: Flask, FastAPI, Django, GPT APIs, Pytest, BeautifulSoup, Selenium ❇️ Fullstack: JavaScript, React.js, Node.js, Express.js, MongoDB ❇️ DevOps & Cloud: Docker, Kubernetes, Ansible, GitLab CI/CD, AWS, Azure, GCP, DigitalOcean ❇️ APIs: RESTful APIs, OpenAI Embeddings, Webhooks, Microservices, Stripe, Binance, Telegram, BetFair, OddsJam, Interactive Brokers 📌 Services I Offer ⚙️ Web Scraping, Data Extraction, Crawling & Mining ⚙️ ML Model Development & AI Implementation ⚙️ Deep Learning & AI Model Training ⚙️ AI Chatbots, Bots & Agent Development ⚙️ NLP, AI Classifier & Generative AI Applications ⚙️ Financial Dashboard, Market Analysis & Automation ⚙️ Interactive Brokers / Binance / Telegram Bot Development ⚙️ Data Cleaning, Processing, Analysis & Visualization ⚙️ Voice AI: Text to Speech, Speech to Text Integration ⚙️ Workflow Automation & Python-based Optimization ⚙️ MCP Server Development & Agentic AI Integration ⚙️ OpenClaw Setup, Custom Skills & Personal AI Agent Deployment ⚙️ A2A Protocol for Multi Agent Communication ⚙️ Agent Orchestration with LangGraph, CrewAI & OpenAgents ⚙️ AI Coding Agent Setup (Claude Code, Cursor, Windsurf) 🤖 LLM & AI Engineering ➜ Neural Networks, TensorFlow, PyTorch, Generative AI Apps ➜ LLM Fine-Tuning: Persona bots, Q&A, Legal/Medical NLP using LLaMA 3, Mistral ➜ Synthetic Data Generation & ML Model Training ➜ Prompt Engineering & Evaluation Pipelines ➜ OpenAI API, ChatGPT API, OpenAI Embeddings Integration ➜ Cloud AI Deployment: SkyPilot on AWS, GCP, RunPod ➜ Inference: vLLM, TGI with AWQ, GPTQ, GGUF, GGML ➜ MCP Server/Client Development, A2A Protocol, AG-UI ➜ OpenClaw Agent: Setup, AgentSkills, WhatsApp/Telegram/Slack ➜ Multi Agent Orchestration: LangGraph, CrewAI, OpenAgents ➜ Reasoning Models: OpenAI o1/o3, Claude Reasoning ➜ AI Coding Agents: Claude Code, Cursor, Windsurf 🔌 API Integration ✔️ ChatGPT API, OpenAI API & Vector Database Integration ✔️ RESTful Architecture, OAuth, Token Auth, Rate Limiting ✔️ Real-time Data, Webhooks, Cloud Functions ✔️ Scalable Microservices for AI Applications ✔️ MCP Server Development for Claude, ChatGPT & Custom AI Apps ✔️ A2A Protocol for Agent Interoperability ✔️ OpenClaw Custom Skills & Plugin Development 🧠 AI Agent & LLM Skillset Voice AI: CrewAI, AutoGen, Deepgram, Amazon Polly LLM Fine-Tuning: PEFT, LoRA, QLoRA, RLHF, DPO Tools: HuggingFace AutoTrain, Axolotl, Unsloth NLP: Prompt Engineering, RAG Pipelines, AI Classifiers GenAI: AI Chatbots, Bots, App Development, Automation Agentic Protocols: MCP, A2A, AG-UI Personal Agents: OpenClaw, Autonomous Workflow Automation Orchestration: LangGraph, OpenAgents, Pydantic AI, Google ADK AI Coding: Claude Code, Cursor, Windsurf, GitHub Copilot Models: Claude 4.5/4.6, GPT-4o, o1/o3, Gemini 2.5 Pro, DeepSeek, Kimi K2.5 💡 I build scalable AI applications, automate workflows, and develop advanced ML and Deep Learning models with seamless API integration. I deliver WEB SCRAPING, DATA MINING, and AUTOMATION solutions using Python, BeautifulSoup, Selenium, and Playwright with anti-detect browsers and proxies. For Data Science projects, I use Pandas, NumPy, Scikit-Learn, and TensorFlow. 🏆 30+ AI projects delivered. Clients see up to 60% less manual work and 3x faster processing after my AI and automation solutions. 📈 Looking for Python + AI/ML, Chatbots, AI Agents, or API Integration? Message me and let us get started. Thanks, Uttam

🚀 Data Scientist, AI Engineer & Visualization Maven! 📊✨ Unleash the full potential of your data with a seasoned professional! 💼 With 3+ years of expertise, I seamlessly blend Python, Tableau, Power BI, Machine Learning, LLM, Generative AI, Deep Learning, and Cloud ( AWS, Azure & GCP ). 💻 Tech Alchemist: Crafting intelligent solutions through Python wizardry, Machine Learning finesse, and the magic of Generative AI. 🎨 Visual Storyteller: Transforming raw data into captivating tales with the artistry of Tableau and Power BI. ☁️ Cloud Virtuoso: Navigating the skies of Azure & AWS, ensuring your data is not just stored but strategically leveraged. 📈 3 Years Proven Excellence: From predictive analytics to stunning visualizations, your data dreams are my specialty. Ready to elevate your data strategy? Let's create a narrative that speaks volumes! 🌐🚀 #DataScienceExpert #VisualizationGuru #CloudTechWhiz ✨📈 💼 Data Science Services that I offer: ✔️ Data Scraping | Data Cleaning | Data Preprocessing | Data Wrangling ✔️ Data Analysis | Data Visualization| Data Modeling | Dashboard | Business Intelligence ✔️ Machine Learning | Deep Learning | Python Scikit-Learn | TensorFlow ✔️ Artificial Neural Network | Artificial Intelligence | Hugging Face ✔️ Generative AI | Fine-tuning.| Text Classification | AI RAG Chat Bot | AI Agents | AI Automation ✔️ Chatbot | Chatbot Development | ChatGPT | LLM Prompt | Large Language Model ✔️ Feature Engineering | Customer Segmentation | Analytics 💻⚙️🤖 Tech Stack : 👨🏽‍💻 Programming Language - Python, Java 👨🏽‍💻 Business Intelligence Tool - Tableau, Microsoft Power BI, Looker Sudio 👨🏽‍💻 SQL Data Base - MySQL, PostgreSQL 👨🏽‍💻 NoSQL Data Base - MongoDB 👨🏽‍💻 Vector Database - Pinecone DB 👨🏽‍💻 Data Warehouse - AWS Redshift, Snowflake 👨🏽‍💻 Web Backend Framework - Django (Python), Flask (Python), Spring Boot (Java) 👨🏽‍💻 Cloud - Microsoft Azure ( 3 X Certified ), Amazon Web Services (AWS) 💼 Work-Pattern : ✅ Understing your requirements --- ✅ My Analysis/Work --- ✅ Review Project --- ✅Revisions / Approval --- ✅Order Delivery 💼 Data Preprocessing : ✔️ Dealing with missing data ✔️ Complete EDA ✔️ Outlier Detection and Correction ✔️ Feature Engineering ✔️ Normalization ✔️ Standardization 💼 Data Visualization using Python: ✔️ Python Matplotlib ✔️ Python Plotly ✔️ Python Seaborn 💼 Business Intelligence Dashboard : ✔️ Tableau (Tableau Prep / Tableau Server / Tableau Desktop) ✔️ Power BI (Dashboards / Reports / DAX Calculation) ✔️ Python using Plotly (Customised Dashboard with Python using Streamlit Framework) 💼 Machine Learning : ✔️ Linear Regression ✔️ Logistic Regression ✔️ K-nearest neighbour (KNN) ✔️ Decision Tree Classifier ✔️ Clustering Algorithms 💼 Generative AI: ✔️ Fine-tuning ✔️ RAG Chatbot ✔️ AI Agent ✔️ AI Automation ✔️ AI Integration ✔️ And many more 💼 What do you expect from us? ✔️ Available in All Time Zones ✔️ 100% Satisfactory Service ✔️ No Delay Delivery ✔️ Unlimited Delivery ✔️ Fast Response ✔️ Friendly & Professional Conversation #Data Analysis #VIzualization #Python #Tableau #Data Science #ML #Dashboard

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

🏆 Google Certified TensorFlow Developer 🏆 AWS Certified Machine Learning - Specialty Engineer 🏆 AWS Certified Data Analytics - Specialty Engineer 🏆 GCP Certified Professional Machine Learning Engineer 🏆 Google Cloud Certified Professional Cloud Architect 8+ years of comprehensive industry experience in computer vision, Natural Language Processing (NLP), Predictive Modelling and forecasting. ➤ Generative AI Workflow Automation 📍 Zapier, Airtable, HighLevel, Make.com, and CRM systems. ➤ Generative AI Frameworks 📍 RAG Framework - LangChain, LangGraph, Langfuse, LangSmith, LlamaIndex 📍 Large Language Models (LLMs) - OpenAI GPT, GCP Gemini, Gemma, Embeddings, Imagen, AWS Bedrock, Anthropic - Claude, LLaMA, Mistral 📍LLM serving Framework - vLLM, Ray, TorchServe, Hugging Face TGI, TensorRT-LLM 📍 Vector database - Pinecone, QdrantDB, ChromaDB, Milvus, Weaviate, Redis, Pgvector, Elasticsearch 📍 Prompt Optimization - DSPy, TextGrad 📍 Deepgram, Elevenlabs, vapi.ai, ➤ ML Frameworks 📍 TensorFlow 📍 PyTorch 📍 Huggingface 📍 Keras 📍 Scikit-learn 📍 Spark ML 📍 NVIDIA DeepStream SDK Development ➤ DevOps 📍CI/CD 📍Git, Git Action 📍AWS - CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CodeStar ➤ Cloud Skills 📍 AWS - SageMaker, Comprehend, Translate, Textract, Polly, Forecast, Personalize, Rekognition, Transcribe, IoT Core, IoT Greengrass, Bedrock 📍 GCP - Vertex AI, AutoML, Text-to-Speech, Speech-to-Text, Natural Language AI, Translation AI, Vision AI, Video AI, Document AI, Dialogflow, Contact Center AI, Timeseries Insights API, Recommendations AI, Dialogflow CX, GKE, Vertex AI Agent Builder, Cloud Run, Cloud Function 📍 Azure - Azure ML

Most GenAI projects look fine in a demo. They break in production. I fixed that part. I build AI and AWS systems that handle real traffic, real failures, and real AWS bills. The boring, reliable kind. The stuff you can run at 3 AM without paging the on-call. I usually get pulled in when teams hit one of these walls: - RAG works in dev, hallucinates or times out under real load - AWS bill grew 4x in six months and nobody can explain why - AI agent demo got approved, now production keeps breaking - Serverless setup is held together with duct tape and prayers - Team needs a senior pair for one hard architecture call What I actually ship: Production GenAI on AWS. Bedrock, Claude, OpenAI through proper grounding. Retrieval pipelines that handle messy enterprise docs. Hallucination control with structured outputs and validation. Cost per request is tracked from the start, not after the invoice arrives. AWS serverless and event-driven systems. Lambda, API Gateway, DynamoDB, Step Functions. EventBridge and SQS for failure isolation. Terraform or CDK for everything. Lambda Powertools so observability is something you can actually debug. Cost and reliability work. Spotting where AWS spend is bleeding. Multi-region thinking when it matters and not when it doesn't. DR strategies that fit the actual budget, not someone's slide. Recent contracts on Upwork: - 686 hours on a single contract building a Cognito + Lambda + SQS auth and MFA system. Shipped to production without a rollback. - AWS cost optimization audit for a SaaS platform. Real architecture analysis, not generic "buy reserved instances" advice. - AWS infrastructure rewritten in Terraform. Took a messy setup and made it repeatable and safe to roll out. - Currently mid-contract on AI development and production infrastructure work for a US client. Earlier work: - Audit logging system at a previous role, handling over a million requests per minute on ECS and EKS. - AI agent layer for a SaaS platform that cut internal dev cycles by 60%. - Serverless rebuild that hit 99.9% availability with 40% lower run cost. Stack: AWS Lambda, API Gateway, DynamoDB, S3, Step Functions, EventBridge, SQS, Bedrock, SageMaker, Cognito, EKS, ECS, Fargate. Terraform, CDK, OpenTofu. LangChain, OpenAI API, Claude API. Python, Node.js, Go. Lambda Powertools, CloudWatch, Datadog. GitHub Actions, ArgoCD, Jenkins. Background: 8 years in production cloud and platform work. AWS Certified Generative AI Developer. AWS Community Builder, Serverless track. Currently Senior DevOps Engineer at ASTM International alongside consulting. Where I tend to push back: - Fully autonomous agents in production. Most use cases are cleaner as deterministic flows with one model call. - Clever architecture over boring architecture. Boring AWS beats clever AWS, every time. - Microservices when a monolith would ship faster. What I will not pretend to do: pure ML research, training models from scratch, anything that needs a PhD in stats. I am a platform person who ships AI systems on AWS. Not a model person. If an idea is bad, I will say so, with the production reason. You are not paying me to nod. How to start: Send me a paragraph about your stack, what you are trying to ship, and what is currently failing. I will come back within 6 hours with a short architecture review. Three things I would change first. Cost impact at 10x scale. What fails first when one component breaks?

💼 Full-Stack AI/ML Consultant | Generative AI Architect | SaaS & Product Builder | Cloud & DevOps Expert | 15+ Yrs Experience I help startups and enterprises design, build, and scale AI-powered platforms and SaaS applications using modern tech stacks, cloud-native tools, and Generative AI. Whether you're building from scratch, optimising legacy systems, or launching your next AI product, I bring the cross-functional expertise to get it done fast and right. What I Do Best: 🔹 AI/ML & Generative AI ⦿ LLMs(Llama 2/3/4), GPT-3/4, ⦿ Langchain, LangGraph, LlamaIndex ⦿ RAG (ReAct, Simple, Self, Agentic, etc) ⦿ Custom NLP/NLU models, Transformers, Chatbots, Text Analytics ⦿ End-to-end ML pipelines (training, fine-tuning, deployment) ⦿ ML agents: research, sales, assistants, automation bots 🔹 Software & Full Stack Development ⦿ Backend: Python, FastAPI, Flask, Django, Node.js ⦿ Frontend: Gradio, Streamlit, React, Angular, Vue.js, Tailwind, Bootstrap ⦿ Databases: Redis, PineCone, Chroma, PostgreSQL, MySQL, MongoDB, Firebase 🔹 LLMOps | MLOps | DevOps & Deployment ⦿ AWS Sagemaker, Bedrock, vLLm, Ollama ⦿ Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins, CircleCI) ⦿ Terraform, Serverless, AWS Lambda ⦿ Monitoring: Graphana, Prometheus 🔹 Cloud & Data Engineering ⦿ AWS: SageMaker, Bedrock, Lambda, API Gateway, S3, Cloudwatch, EventBridge, CloudFormation. ⦿ Model Registry: MLFlow, AirFlow, Sagemaker Model Registry 🔹 No-Code / Low-Code Development ⦿ Fast MVPs using platforms like FlowIse, Bubble ⦿ Integrations via Zapier, Make, and REST APIs ⦿ No-Cure, No-Pay model for productized services (optional) Why Clients Choose Me ⦿ 15+ years across FinTech, Telecom, Healthcare, EdTech, BioTech, Media & SaaS ⦿ Built platforms with 1Mn+ users, real-time systems, agentic workflows ⦿ Delivered end-to-end GenAI, NLP, CV, IoT & full-stack solutions ⦿ Known for rapid prototyping, scalable systems, and business-aligned results ⦿ Freelance & startup founder mindset: product, speed, ROI first 🤝 Let’s Collaborate I offer a free consultation (worth $500+) to explore your vision, validate feasibility, and propose the right AI roadmap or system architecture. Whether you're an early-stage founder or scaling your enterprise AI stack — I can help bring your ideas to life.