Hire the Best AI Model Training Experts

I am a 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 𝗨𝗽𝘄𝗼𝗿𝗸 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁, if you need to 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗺𝗮𝗻𝘂𝗮𝗹 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀, streamline data loads, migrate 𝗳𝗿𝗼𝗺 𝗼𝗻-𝗽𝗿𝗲𝗺𝗶𝘀𝗲𝘀 to 𝗔𝘇𝘂𝗿𝗲, 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰, 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 or 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀, generate 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗿𝗲𝗽𝗼𝗿𝘁𝘀, or perform 𝗰𝗼𝘀𝘁 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 or 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻? I have delivered 800+ metadata-driven ETL pipelines, built advanced Power BI dashboards, and migrated 3,000+ reports from Domo, MicroStrategy, and Tableau to Power BI. My experience also includes enterprise data modeling, data warehouse design, GenAI and Copilot integration, and building 500+ Power Platform applications and automations for mid-sized and enterprise organizations. 𝗣𝗼𝘄𝗲𝗿 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 | 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰 | 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 | 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 | 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 | 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 | 𝗗𝗢𝗠𝗢 | 𝗪𝗲𝗯𝗵𝗼𝗼𝗸𝘀 | 𝗔𝗣𝗜𝘀 | 𝗣𝘆𝘁𝗵𝗼𝗻 | 𝗧-𝗦𝗤𝗟 | 𝗖# | 𝗗𝗔𝗫 | 𝗔𝗗𝗙 | 𝗘𝗧𝗟 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 | 𝗠𝗲𝗱𝗮𝗹𝗹𝗶𝗼𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 | 𝗦𝘁𝗮𝗿 𝗦𝗰𝗵𝗲𝗺𝗮 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 | 𝗟𝗟𝗠 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 | 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 | 𝗠𝗟𝗢𝗽𝘀 I’m a co-founder of a Microsoft Partner firm, and I don’t just code, develop, or deploy solutions — I lead a 70+ experts, fully in-house team of top-tier, homegrown senior engineers. We deliver all projects fully in-house — no outsourcing. If we can’t deliver it with our own team, we don’t take the project. We don’t just help with tasks; we own and deliver end-to-end solutions. Our model allows us to move 10× faster, with better cost efficiency, compared to large, brand-name consulting firms burdened by overhead. If you prefer working directly with senior engineers, matter experts, value performance over logos, and want a team that takes full ownership and delivers real results — let’s talk. 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 & 𝗜𝗻𝘀𝘂𝗿𝗮𝗻𝗰𝗲: Built AI-driven analytics, automated workflows, and cost optimization systems for UnitedHealth Group and Molina Healthcare, improving efficiency and decision-making. Used OpenAI, GPT, Python, Fabric and Power BI 𝗙𝗶𝗻𝗮𝗻𝗰𝗲 & 𝗕𝗮𝗻𝗸𝗶𝗻𝗴: Designed and developed secure data warehouses, data pipelines, and real-time reporting platforms covering AR, AP, GL, invoices, vendors, ledgers, and budgeting. 𝗥𝗲𝗮𝗹 𝗘𝘀𝘁𝗮𝘁𝗲 & 𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁:Delivered predictive analytics, ETL, and workflow automation across platforms including Yardi, Sage Intacct, QuickBooks, MRI, RealPage, Entrata, and Salesforce. 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴: Implemented data mirroring and integration from JD Edwards (Oracle), SAP, and on-prem SQL Server into Microsoft Fabric, enabling real time analytics for inventory management, sales performance, and supply chain operations. or need 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 that communicate seamlessly (agent-to-agent protocol) and let 𝐮𝐬𝐞𝐫𝐬 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁 with your 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 in 𝗽𝗹𝗮𝗶𝗻 𝗘𝗻𝗴𝗹𝗶𝘀𝗵 — 𝗻𝗼 𝗰𝗼𝗱𝗶𝗻𝗴 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗱? We design and build end-to-end AI automation solutions that handle everything from natural language database interaction to workflow automation, data pipeline orchestration, and real-time analytics. Other Skills: Microsoft Fabric Expert, Microsoft Fabric, Microsoft Fabric specialist, Power BI Desktop models, Excel files, SQL data warehouse, Power BI Desktop, Microsoft Fabric semantic models, Excel, OneDrive, SharePoint integration, Microsoft Power BI, Microsoft Azure, Data Warehousing, ETL, SQL, Data Analysis, ETL Pipeline, Fabric, dbt, Microsoft Fabric Data Engineer, ETL Pipeline, PySpark, Data Modeling, lakehouse, Data Ingestion, spark-based notebooks, powerbi, SQL, Python, Power Query, ETL Pipeline, Data Modeling, Lakehouse, Data Ingestion, Power BI, Power Query, SQL, Microsoft Power BI Data Visualization, Fabric Dataflows, Fabric Pipelines, Fabric Integration, Data Engineering with Fabric, Microsoft Data Platform, Databricks Tutor, Databricks, Databricks Platform, Databricks MLflow, AI Agent Development, Databrick Engineer, Databricks Platform, Databricks Expert, databricks integration, Snowflake integration, Snowflake, Databricks test, Databricks notebook, ETL Specialist, ETL, Data Warehousing, AWS, GCP, Azure Databricks, Azure Data Engineer, ETL Pipeline, ETL Developer, Data Warehousing & ETL Software, ETL Software, Informatica, Informatica cloud, Informatica PowerCenter, ETL solutions, including ETL, pipelines, Senior Data Engineer, Data Architect, Data engineer experts, Experienced Data Engineer, Apache Spark, Apache Spark ecosystem, AWS Glue, AWS Big Data, ETL Data Transformation, Data Pipelines, Azure DataBricks, AI Agents, AI Automation & Agent, AI Senior Agent, AI Agent Development, n8n, NLP, Generative AI, Agent GPT, Large Language Model, NLP PIPELINES, PROMPT ENGINEERING, ChatGPT, GPT-4 API, Generative AI Developer, AI Agentic Chatbot, Agentic AI Developer

🚀Hi! I help startups go from demo → market-ready AI product - fast! I plug into your team and ship production ready features that customers love. 🏆 Top 1% (Expert-vetted) | 8+ years| 100% JSS | 35+ Delighted Clients | 18+ E2E Deployments 🎯 "𝘒𝘶𝘯𝘫𝘢𝘯 𝘪𝘴 𝘢𝘯 𝘢𝘣𝘴𝘰𝘭𝘶𝘵𝘦 𝘨𝘦𝘮! 𝘚𝘩𝘦 𝘸𝘦𝘯𝘵 𝘢𝘣𝘰𝘷𝘦 𝘢𝘯𝘥 𝘣𝘦𝘺𝘰𝘯𝘥. 𝘛𝘦𝘢𝘮𝘪𝘯𝘨 𝘶𝘱 𝘸𝘪𝘵𝘩 𝘩𝘦𝘳, 𝘸𝘦 𝘣𝘶𝘪𝘭𝘵 𝘳𝘰𝘣𝘶𝘴𝘵 𝘥𝘢𝘵𝘢 𝘱𝘪𝘱𝘦𝘭𝘪𝘯𝘦𝘴, 𝘰𝘱𝘵𝘪𝘮𝘪𝘻𝘦𝘥 𝘓𝘓𝘔𝘖𝘱𝘴, 𝘵𝘳𝘢𝘯𝘴𝘪𝘵𝘪𝘰𝘯𝘦𝘥 𝘧𝘳𝘰𝘮 𝘧𝘢𝘯𝘤𝘺 𝘥𝘦𝘮𝘰𝘴 𝘵𝘰 𝘢 𝘴𝘤𝘢𝘭𝘢𝘣𝘭𝘦 𝘈𝘐 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘵𝘩𝘢𝘵 1000𝘴 𝘰𝘧 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳𝘴 𝘭𝘰𝘷𝘦!" - CTO, Healthcare startup, SF (1 of many 5-star reviews) Over 7+ years on Upwork, I've helped startups and enterprises across sectors - Marketing, Healthcare, Law, Education, and Agribusiness - translate AI into measurable business ROI by building the right data and ML foundations. Whether collaborating with 1000+ employee companies or lean 2-person startups, I adapt to the team’s needs: reporting directly to CEOs or CTOs as an AI/Data Lead, or integrating as a hands-on contributor alongside in-house developers. I bring a “brain-for-hire” + hands-on mindset - tackling strategic and technical challenges with equal enthusiasm, always focused on delivering outcomes, not overhead. 👀 See 8+ Case Studies & Demos: totemxlabs dot com/#casestudies 🎯 Recent Success Stories (2024-2025) 1. Graph RAG for Marketing & Strategic decisions Implemented knowledge graph-powered RAG systems using Neo4j for marketing intelligence and SEO optimization - enabling sophisticated knowledge checks and relationship-based insights that traditional RAG cannot achieve. 2. Workplace Safety Vision System Deployed end-to-end computer vision solution for workplace health and safety compliance - real-time hazard detection, PPE verification, and automated incident reporting. 3. Healthcare Diagnostic Knowledge Graph Developed evidence-based diagnostic system using knowledge graphs for healthcare - producing auditable, traceable diagnostic reasoning paths that meet clinical documentation standards. 🧭 My Proven AI Product Process: Discovery: Identify high-ROI AI opportunities aligned with your goals. Data Assessment: Evaluate data availability, relevance, quality. Solution Design: Define user journeys, tech stacks, evaluation frameworks. Development: Optimized sprints for cost-effective, robust AI solutions (min. tech debt). Deployment: Scalable architectures, rigorous testing for production readiness. 💡 Technical Expertise: GenAI & LLMs: LLM Ops (Fine-tuning, Prompt Engineering, RAG, Agentic Workflow, Multi-agent systems, Memory Management), LangChain, LangGraph, LlamaIndex, LangServe; Vector Search (Pinecone, Weaviate, Chroma, FAISS). AI/ML & MLOps: Predictive Analytics, Recommender Systems, RLHF; Model Lifecycle, MLflow, Feature Stores; PyTorch, TensorFlow, Scikit-learn. Cloud & Infra (Multi-cloud): AWS (Lambda, ECS, ElastiCache, DynamoDB, API Gateway), Azure, GCP, Vertex AI, SageMaker; Docker, Kubernetes (EKS/GKE). Software & Data Eng: Python (expert), Fullstack; FastAPI, Flask, Django; REST, GraphQL, OpenAPI, AsyncIO; Batch/Stream (Airflow, Spark, Kafka), Pandas, Polars, dbt; ETL/ELT. DBs/Arch/DevOps: PostgreSQL, MySQL, DynamoDB, MongoDB, Vector DBs (Pinecone, Weaviate, ChromaDB), Neo4j; Microservices, GitHub Actions, Terraform, CI/CD pipelines. 🤝 Why Partner With Me? I help architect and develop E2E AI solutions merging tech excellence with business acumen. Let's transform the AI wave into your competitive edge. ✅DM me if you have an exciting problem to solve! —Updated January, 2026— Latest LLMs (2025-26): GPT-5.2 (OpenAI's flagship with 26% lower hallucination rate) Claude 4.5 Opus & Sonnet 4.5 (200K context, breakthrough coding performance) Gemini 3 Pro & Flash (Deep Think mode, multimodal excellence, 1M token context) DeepSeek V3.2 & R1 series (685B parameters, hybrid thinking/non-thinking modes) Qwen 3 series (open weight dense and mixture-of-experts (MoE) model for reasoning tasks) Agentic AI Frameworks: Langchain & LangGraph (stateful graph-based workflows, production-grade orchestration) OpenAI Agents SDK (lightweight with guardrails and handoffs) CrewAI (role-based multi-agent collaboration, human-in-the-loop) LlamaIndex Agents (RAG-first agent capabilities) AI workflow automation: n8n Knowledge Graphs & Graph RAG: Neo4j 2025 features: Community summaries, parallel retrievers, LLM Knowledge Graph Builder Neo4j Aura Graph Analytics Graph RAG architecture Cypher query optimization, graph embeddings for ML Agentic knowledge graph construction with provenance Computer Vision Applications: Workplace safety, Video generation Multimodal Vision Language Models (VLMs) Context engineering for high quality content generation

I build AI agents that save enterprises thousands of hours annually — not demos, not prototypes. Production systems that work. For the last 2+ years I’ve been building with OpenAI, AWS Bedrock, and custom agents, on top of ~10 years of backend / production support experience. That means I care about latency, cost, failure modes, logging, and security – not just cool demos. What I build AI Agents & Copilots * Bedrock / OpenAI agents that call tools (APIs, databases, RPA bots) * Jira/ServiceNow/Freshservice assistants, IT helpdesk copilots, operations copilots * RAG & Knowledge Systems * Document ingestion pipelines, embeddings, vector search (pgvector / FAISS) * Secure, role-aware Q&A over internal knowledge bases *Automation & Workflows * n8n / custom Python orchestrations * Voice & chat agents integrated with CRMs, ticketing tools, and legacy systems * Full-Stack GenAI Apps * FastAPI / Node backends, React/Tailwind frontends * Supabase / Postgres storage, authentication, Stripe-ready SaaS structures How I work Start small, ship fast: narrow, high-impact v1 that actually goes live. Tool-first thinking: I map every AI feature to real tools (APIs, databases, RPA), so the agent can do things, not just chat. Transparent constraints: if GenAI is the wrong answer or too expensive, I say so early. Production mindset: env configs, logging, monitoring hooks, retry logic, and clear deployment instructions (Docker/containers or as agreed). Good fit if you: Want an AI agent or copilot that talks to your tools and makes decisions, not a static chatbot. Need to automate an existing process (support, ops, reporting, proposals) with measurable ROI. Are ready to move from “idea” → architecture → MVP → “users are actually using this”. If you share a short Loom / doc with your current process and tools (CRMs, ticketing, databases, RPA, etc.), I can send back a concrete architecture + phased implementation plan before we start.

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.

I build AI-powered systems that go straight to production — LLM agents, RAG pipelines, computer vision, and full-stack AI backends for startups and SaaS companies worldwide. ✮ 100% Job Success Score ✮ 5-Star Reviews Across All Contracts ✮ $10K+ Earned on Upwork ✮ 0-4 Hour Response Time ✮ Active Clients in Japan, US, and India ✮ Available Now [ What I Build For You ] ✮ AI Engineer and LLM Agent Developer ✮ RAG Pipeline Engineer ✮ Computer Vision Engineer ✮ FastAPI and Python Backend Developer ✮ Full Stack AI Developer ✮ AWS Cloud and DevOps Engineer ✮ AI Automation and Workflow Developer ✮ SaaS AI Product Developer I specialise in turning AI ideas into production systems — not demos, not prototypes, but real software that scales and ships fast. [ AI Agents and LLM Systems ] ✮ LangChain and LangGraph agent development ✮ Claude API, OpenAI API, Gemini API integration ✮ RAG pipeline development from scratch ✮ Vector databases — Pinecone, FAISS, ChromaDB ✮ Prompt engineering and hallucination reduction ✮ Multi-agent orchestration and tool use ✮ Gmail API, Slack API, Notion API, Sheets API ✮ Human-in-the-loop approval workflows ✮ LLM cost optimisation and token tracking ✮ AI workflow automation for SaaS businesses [ Computer Vision Systems ] ✮ YOLOv8 and UNet model training and deployment ✮ Object detection and semantic segmentation ✮ Real-time video analysis and CCTV AI systems ✮ Medical image analysis and industrial vision ✮ OpenCV, dlib, TensorFlow, Keras, PyTorch ✮ Custom model fine-tuning on domain datasets ✮ Computer vision APIs and edge deployment [ Backend and API Development ] ✮ FastAPI and Python backend development ✮ REST API design, integration, and testing ✮ JWT authentication and OAuth2 implementation ✮ PostgreSQL, MongoDB, MySQL database design ✮ Async Python and scalable architecture ✮ Node.js, Ruby on Rails, React, TypeScript ✮ Full stack SaaS backend development [ Cloud and DevOps ] ✮ AWS — EC2, S3, Lambda, SQS ✮ Google Cloud Storage integration ✮ Docker containerisation ✮ CI/CD pipelines and GitHub Actions ✮ MLOps — model monitoring and retraining ✮ Cloud infrastructure for AI systems [ Production Results Delivered ] ✮ Real-time CCTV anomaly detection system — 10,000+ frames per day, 90%+ accuracy, 60% reduction in manual workload (YOLOv8 + OpenCV + FastAPI + AWS) ✮ AI avatar interview SaaS platform — 300+ enterprise clients across 32 languages (Ruby on Rails + React + LLM integration) ✮ Multi-agent LLM workflow systems — RAG pipelines shipped to production in days (LangChain + LangGraph + Claude API) ✮ Patient monitoring tracking system — Healthcare-grade CV pipeline on AWS (YOLOv8 + OpenCV + AWS Lambda) [ Why Clients Choose Me ] ✮ Production-first mindset — I build for scale, not demos ✮ End-to-end ownership from architecture to deployment ✮ Active international clients in Japan and India ✮ Fast communication — 0-4 hour response time ✮ 100% Job Success Score and 5-star reviews [ Keywords ] AI Engineer | Python Developer | LangChain Developer LLM Engineer | RAG Developer | AI Agent Developer Computer Vision Engineer | YOLOv8 Developer FastAPI Developer | Backend Python Developer AWS Engineer | Full Stack AI Developer OpenAI API Developer | Claude API Developer Gemini API Developer | LLM Integration Developer LangGraph Developer | Vector Database Developer Pinecone Developer | FAISS Integration Developer RAG Pipeline Developer | Prompt Engineer AI Automation Developer | AI SaaS Developer Machine Learning Engineer | Deep Learning Engineer Object Detection Developer | Image Segmentation REST API Developer | Node.js Developer React Developer | TypeScript Developer Ruby on Rails Developer | MongoDB Developer PostgreSQL Developer | Docker Developer CI/CD Engineer | MLOps Engineer AI Backend Developer | Real-time AI Systems Production AI Systems | Scalable AI Development SaaS AI Developer | Startup AI Engineer Remote AI Engineer | International AI Developer | Full Stack Developer | Full Stack | Mobile App Full Stack Developer | SaaS Application Development | Full Stack SaaS Developer | MERN Full Stack developer | MEAN Stack developer | Full Stack Developer React Node | React Full Stack Developer| Node Full Stack Developer | Next.js full stack developer | MongoDB full stack developer| REST API Full Stack Developer | JAVA Full Stack Developer| SPRINGBOOT Full Stack Developer| MICROSERVICES full stack Developer|Kafka full stack developer|Angular Full Stack Developer| React Developer | Node.js Full Stack Developer| React Node | Backend nodejs Full Stack Developer| node.js full stack developer | Full Stack MERN | MERN MEAN full stack developer| MERN developer | MERN stack | MEAN developer | .NET developer | .NET core | Full Stack .NET Developer | Azure Full Stack Developer | AWS Full Stack Developer| Google Cloud | REST API Full Stack Developer If you need an AI engineer who ships production systems fast — message me and let's build it.

I am not just an AI Engineer; I am a storyteller who connects the dots between complex data and business growth. With 5 years of hands-on experience and a robust academic foundation in Statistics and Engineering, I specialize in building AI systems that don't just work they innovate. Why work with me? I don’t just deliver code; I translate your high-level business needs into high-performing, production-ready AI systems that solve real-world bottlenecks. My Core Expertise: - AI Solutions: Text analysis & image recognition - AI Search: Smarter answers with RAG & advanced prompt design - Custom AI Models: Tailored GPT, Gemini, LLaMA, Claude & more - Vibe Coding: Cursor, Lovable, Antigravity, etc.. - AI Workflows: Multi-agent automation for complex tasks - Voice AI: Text-to-speech & speech-to-text (AWS, Google, Azure) - AI Visuals: From idea to image using DALL·E, Midjourney, Stable Diffusion - Automation: Zapier, Make, n8n & custom workflows - Smart Pipelines: Event-driven triggers, error handling & smooth operations AI Agents & Chatbots: I build sophisticated multi-agent and RAG frameworks. Examples include E-commerce virtual associates that drive sales and POS customer support agents that handle complex queries autonomously. Text-to-SQL & Analytics: I enable non-technical users to "talk to their data," providing instant, natural-language insights into sales, inventory, and KPIs. Intelligent Automation (n8n): I streamline operations by eliminating repetitive tasks. My AI-powered HR Agent workflow automatically parses, scores, and ranks candidates to find your "best fit" instantly. Computer Vision & OCR: Expert in YOLO and Qwen2.5-VL. I automate data entry from handwritten or digital invoices directly into structured JSON for accounting and inventory software. Full-Stack AI Deployment: I take models from notebooks to production. Expert in the full AI lifecycle, including MLOps, containerization (Docker), and scalable cloud deployment on GCP. The Toolbox: Frameworks: PyTorch, Keras, TensorFlow, Scikit-learn, OpenCV. LLM Ops & Orchestration: LangChain, LangFlow, DSPy, OpenAI API, Apple MLX. Deployment: Docker, GCP, MLOps pipelines. I am dedicated to delivering results that exceed expectations always on time and within budget. Let’s build your success story. Click the 'Invite' button to start a conversation!