AI Engineer | AI Agents, Automations & Production AI Systems Azure AI Developer I build production-ready AI systems, SaaS platforms, and automation solutions at a fraction of traditional development costs, without compromising on quality, security, or scalability. My approach combines AI-native development, modern engineering practices, and years of experience building real-world products across healthcare, legal, sports analytics, customer service, computer vision, and business automation. Whether you're launching a new product, building an AI-powered platform, automating operations, or transforming an existing prototype into a production-ready application, I help businesses move from idea to deployment faster and more cost-effectively. Here's what and how I can build for you: 𝗔𝗜 𝗡𝗮𝘁𝗶𝘃𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Full product development powered by Claude/Cursor and an AI-native workflow. Every build is faster, tighter, and more cost-efficient than traditional development, without any tradeoff on quality or scalability. 𝗦𝗽𝗲𝗰 𝗗𝗿𝗶𝘃𝗲𝗻 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Scope defined, documented, and agreed before development starts. No moving goal posts, no runaway timelines. You know exactly what you're getting and when. 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀, 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Custom AI agents, multi-agent systems, RAG platforms, enterprise knowledge bases, AI copilots, voice assistants, and workflow automation solutions powered by modern LLMs. Enterprise search, document intelligence, compliance-focused retrieval systems, citation-based knowledge assistants, and vector database architectures. 𝗣𝗢𝗖 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 𝘂𝗽 𝘁𝗼 𝟴𝟬% 𝗰𝗼𝘀𝘁 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 Need to validate an idea before committing to a full build? I scope and ship lean, functional proofs of concept that give you real signal without burning your runway. 𝗠𝗩𝗣 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 𝘂𝗽 𝘁𝗼 𝟳𝟬% 𝗰𝗼𝘀𝘁 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 Go from idea to a fully functional, market-ready product. Built to scale from day one, not patched together and hoping for the best. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗦𝗮𝗮𝗦 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 End-to-end web and mobile applications using React, Next.js, FastAPI, Python, PostgreSQL, cloud infrastructure, and modern deployment pipelines. 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Conversational AI systems, inbound and outbound calling agents, customer support automation, CRM integrations, and intelligent workflow orchestration. 𝗖𝗼𝗱𝗲 𝗖𝗹𝗲𝗮𝗻𝘂𝗽 𝗮𝗻𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗥𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀 Built your prototype in Lovable, Replit, AI Studio, or another AI tool and hit a wall? I take what you have, audit the codebase, clean it up, add proper authentication, security, and any missing features, and get it production-ready. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗥𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀 & 𝗖𝗼𝗱𝗲 𝗔𝘂𝗱𝗶𝘁𝘀 Already have a development team or an existing product? I can step in and do architecture reviews, performance optimization, security assessments, scalability planning, technical due diligence, and modernization of existing applications. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 Custom ML model integration into your product stack, recommendation systems, classification, predictive features, computer vision pipelines. Built to production standard, not a notebook demo What I build: • AI Agents and Multi-Agent Systems • Voice AI Applications (Retell, Vapi, Bland, LiveKit) • Business Process Automation (n8n, Make, Custom Workflows) • RAG and Knowledge-Based AI Systems • AI-Powered SaaS Features and Products • Document Processing, OCR and Data Extraction • Custom LLM Applications and AI Integrations • Backend APIs and AI Infrastructure • Real-Time AI Systems and Workflow Orchestration Tech Stack: Python, FastAPI, Node.js, TypeScript, React, OpenAI, Claude, Gemini, LangGraph, LangChain, Pinecone, Weaviate, PostgreSQL, MongoDB, AWS, Azure, Docker, n8n, Make, Twilio, Retell, Vapi, LiveKit Recent projects include: • Multi-agent coaching platform with orchestration, memory, and RAG • Voice AI systems for sales, scheduling, and customer support • AI-powered document processing and workflow automation platforms • Knowledge management systems using retrieval and vector search • Automated operational workflows integrating CRMs, communication tools, and business systems I enjoy building products and systems far more than consulting, coaching, or teaching. Most clients hire me when they need someone who can take ownership of implementation and deliver a working solution. If you're looking for an engineer who can design, build, and deploy AI systems that people actually use, let's connect.

🚀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

Give me your wildest AI idea, I’ll turn it into a product that ships. Hi there! I’m a Senior Machine Learning Engineer with 8+ years of experience architecting end to end AI solutions from NVIDIA Jetson edge deployments to LLM powered chatbots and autonomous agents. Core Expertise & Tech Stack: - Computer Vision & Image Processing: CNNs, Vision Transformers, real‑time object detection - Deep Learning Architectures: Custom CNN/RNN/Transformer pipelines in PyTorch & TensorFlow - NLP & LLMs: GPT‑series fine‑tuning, RAG pipelines, custom tokenizers - Chatbot & AI Agent Development: Multi‑turn dialog systems, vector‑indexed memory, API integrations - Edge AI Deployments: Jetson Nano, Xavier & Orin containerised inference with TensorRT & Docker - Web Scraping & Python Automation: BeautifulSoup, Selenium, API orchestration, ETL pipelines How We Can Work Together: Whether you need to prototype a custom vision model, build a high performance LLM agent, deploy AI on edge devices, or automate large scale data harvesting, I’m ready to jump in. I’m available for both short sprints and ongoing collaborations, and I typically respond to messages within two hours. Let’s connect, send me a note outlining your project goals, and I’ll share a quick plan to get you from concept to production. Looking forward to turning your AI vision into a market‑ready product.

🔹 Top Rated Machine Learning Engineer | Expert in Detection, Tracking, Classification & OCR I specialize in building high-accuracy computer vision models — from object detection and classification to keypoint detection and OCR. With deep experience in YOLO (v8–v11), TensorFlow, and PyTorch, I’ve delivered results across industries including healthcare, logistics, and agriculture. 🚀 Highlighted Projects: 🔍 License Plate Recognition & Number Swapping — for Korean and Kazakh vehicles 🏥 COVID-19 & Viral Pneumonia Detection — 95%+ accuracy using X-ray images 🍎 Fruit Detection (Apple, Peach, Potato) — precision object detection with YOLO 📄 OCR & Keypoint Detection — paper/card ID localization and tracking 🏎️ Speed Estimation & Vehicle Tracking — model fusion using YOLO + Deep SORT ⚙️ Core Skills & Tools: YOLOv5/v8 | TensorFlow | PyTorch | OpenCV | ONNX Object Detection, Classification, OCR, Keypoint Detection High-speed model training on RTX 4080 Super As a Top Rated freelancer, I deliver clean, efficient, and production-ready models on time and with clear communication. Let’s bring your vision to life. 📩 Message me — I respond quickly and build fast.

-- Top 3% of AI Developers on Upwork (rated: Top Rated Plus) -- 5+ Years of Professional Experience in Machine Learning -- Specialized in Generative AI, Image Generation, and Speech Generation As a specialist in AI, I bring a strong theoretical foundation alongside practical expertise in machine learning, deep learning, and generative AI models. With over 5 years of experience, I excel in applying advanced AI techniques to solve complex problems in image generation, speech synthesis, and more. Key Areas of Expertise: - Deep expertise in generative AI models for image, video, and speech generation (GANs, VAEs, diffusion models). - Skilled in designing and fine-tuning LLMs and multimodal models, integrating image, text, and speech for advanced AI solutions. - Proficient in the full ML/DL pipeline: architecture design, model training, deployment, and continuous optimization. - Extensive experience in applying cutting-edge neural networks for computer vision, NLP, and audio processing. - Developed custom generative models for use cases including text-to-image, image-to-image, speech-to-text, text-to-speech, and voice cloning. - Implemented solutions for automated content generation, image captioning, visual understanding, speech synthesis, and multimodal fusion. - Focused on optimizing models for deployment on mobile, cloud, and edge devices using tools like PyTorch, TensorFlow, and NVIDIA frameworks. Research Experience: - Published work in reinforcement learning at ICML ("Inverse Constrained Reinforcement Learning") with applications in human feedback for improving generative models. - Expertise in Reinforcement Learning from Human Feedback (RLHF), a key technique used in training high-performance LLMs and generative models. Technical Skills: - Core Areas: Generative AI, Image Generation, Speech Generation, Multimodal AI, Computer Vision, NLP, OCR, Large Language Models, Big Data Analytics. - Libraries/Frameworks: TensorFlow, Keras, PyTorch, Hugging Face, OpenAI, CoreML, FastAPI, Flask. - Toolkits: PyTorch, Numpy, Pandas, CUDA, TensorFlow, OpenCV, Tflite. - Operational Tools: GCP, AWS, Kubernetes, Docker, Github, Gitlab.

I design and deploy production-grade AI systems: from data pipelines to scalable LLM applications. With 7+ years in ML/AI, I specialize in LLM systems, RAG architectures, and MLOps, helping teams move from prototype to reliable, scalable AI in production. My focus is not just building models but ensuring they perform under real-world constraints: latency, cost, hallucination control, and continuous improvement. What I build -End-to-end ML pipelines: ingestion, training, deployment, monitoring -RAG systems with proper evaluation harnesses (retrieval quality, regression catching) -LLM observability: prompt versioning, tracing, feedback loops -Scalable inference (real-time and batch) with GPU optimization -CI/CD for ML with MLflow, Airflow, automated retraining -AI agents with guardrails and reliable tool use Selected results -Fraud detection pipeline (real-time inference) → ~$890K in losses prevented -Forecasting system using ensemble models → 31% accuracy lift over baseline -Multiple LLM products running in production under client SLAs -$3M+ in measurable business impact across deployments (happy to walk through specifics on a call) Stack -Languages/frameworks: Python, FastAPI -LLMs: OpenAI, Anthropic, HuggingFace, LangChain, LlamaIndex -Vector DBs: Pinecone, Weaviate, ChromaDB, FAISS -Infra: AWS, Docker, Supabase, MLflow, Airflow How I work -Replies in 0–4 hours on business days -Production-grade code with tests and docs, not throwaway notebooks -Clear scope, direct communication, focused on business outcomes -Revenue, automation, speed-to-market — that's the scoreboard Let's turn your AI idea into a working product. Send an invite with your project details and I'll get back to you with a clear plan.

I hold a Master's in Computer Applications (MCA) and bring over 16 years of experience designing, developing, and scaling software products across web, mobile, cloud, and AI technologies. I am the Founder of Shine Dezign, a software development agency delivering digital solutions for businesses worldwide, and the Founder of FuelLab Fit, an AI-powered health and wellness platform. These experiences have given me a unique perspective that combines technical expertise, product strategy, business understanding, and execution. Unlike many developers who focus solely on coding, I help businesses transform ideas into scalable products that generate real value. From product planning and architecture to development, deployment, and growth, I take ownership of the entire lifecycle. My expertise includes: • AI-Powered SaaS Platforms • Full-Stack Web & Mobile Development • Cloud Architecture & DevOps • API Development & Third-Party Integrations Technology Stack: • LLMs: GPT, Claude, Gemini, Llama, Mistral • AI Frameworks: LangChain, LlamaIndex, CrewAI, AutoGen • Vector Databases: Pinecone, Qdrant, Weaviate, Milvus • Frontend: React, Next.js, TypeScript • Backend: Node.js, FastAPI, Python, Django • Databases: PostgreSQL, MySQL, MongoDB • Cloud: AWS, Azure, Google Cloud • DevOps: Docker, Kubernetes, Terraform, CI/CD Over the years, I have delivered solutions across healthcare, wellness, e-commerce, enterprise software, fintech, automation, and data-driven applications. My experience allows me to think beyond implementation and focus on scalability, performance, security, user experience, and long-term maintainability. What clients value most about working with me: ✓ Founder of Shine Dezign, an established software development agency ✓ Founder of FuelLab Fit, an AI-powered health and wellness platform ✓ 16+ years of hands-on software engineering experience ✓ Master's in Computer Applications (MCA) ✓ Strong product, business, and technical leadership ✓ End-to-end ownership from concept to production ✓ Scalable and cost-effective architecture decisions ✓ Clear communication and dependable delivery If you're looking for a senior engineer, founder, and technology partner who understands both business goals and technical execution, let's discuss your project.

33+ Successful Projects • 100% Job Success Top Rated 🎯 Computer Vision — YOLOv8/11, Faster R-CNN, U-Net, DeepLabV3+ 📍 Multi-Object Tracking — SORT, DeepSORT, ByteTrack 💬 LLM Applications — RAG, LangChain, Hugging Face, LoRA/QLoRA ⚡ Real-Time AI Deployment — OpenCV, PyTorch, TensorFlow 📈 Scalable Search — FAISS, vector DBs for face & document retrieval 🤖 LLM-Powered Telegram Bots — intelligent assistants & automation Why Work With Me 🟢 25+ successful projects with 100% Job Success (Top Rated) 🟢 Up to 90% automation through AI & workflow optimization 🟢 Scalable, production-grade systems (millions of records, real-time pipelines) 🟢 True end-to-end delivery — strategy → data → model → deployment 🟢 On-time delivery with measurable business impact 🟢 Clear, reliable communication throughout the project 📩 Message me for a free consultation — I’ll help you outline the best technical approach for your project.

Most AI automation projects fail when they need to work inside real business workflows. I design and build LLM-powered systems that automate business operations using RAG, AI agents, and custom backends. The goal is simple: reduce manual work, fit into how your team already operates, and build something people actually use day to day. What I build: AI automation systems for business workflows AI agents for support, operations, and internal tools RAG-based knowledge systems connected to docs, PDFs, or databases Chatbots that can take real actions, not just answer questions Backend systems for LLM-powered applications, including APIs and integrations When clients usually reach out: When repetitive manual processes are slowing things down When internal knowledge is scattered or hard to access When support or operations need automation When they want to add real AI functionality into an existing product When previous AI solutions did not work in real-world usage How I approach projects: I focus on building systems that work in practice, not just demos. That means designing around your actual workflows, keeping the backend clean and maintainable, and making sure everything integrates properly with your tools and data. I also prioritize clear communication and iterative delivery. Most AI projects fail because of execution, not because the technology is lacking. My focus is making sure what we build actually works reliably once it is deployed. Tech stack: LLMs and AI tools include OpenAI, Claude, Gemini, and Llama Frameworks include LangChain and LangGraph Vector databases include Pinecone, FAISS, and Chroma Backend development with Python, FastAPI, Flask, and Django Infrastructure and integrations using Docker, APIs, and AWS Recent work AI agents built for workflow automation RAG systems connected to company knowledge bases NLP-based clustering and data processing systems Fixing and deploying dialogue systems Personalization systems and machine learning pipelines If you are building something with AI, or trying to figure out the right way to approach it, feel free to message me with your use case. I can help you scope it properly and turn it into something that actually works. Keywords AI Engineer, LLM Engineer, Generative AI, AI Automation, AI Agents, Chatbot Development, RAG, Retrieval Augmented Generation, OpenAI API, Claude API, Gemini API, Llama, LangChain, LangGraph, Python, FastAPI, Backend Development, API Integration, Workflow Automation, NLP, Semantic Search, Vector Database, Pinecone, FAISS, ChromaDB, Knowledge Base Chatbot, PDF Chatbot, Embeddings, ML Pipeline, AI SaaS Development

Senior AI Engineer specializing in production AI/ML systems, multi-agent architectures, and LLM applications that drive measurable ROI. Delivered AI solutions for 35 clients, collectively saving 90+ hours weekly by automating knowledge work and freeing up time for high-value growth activities. CORE EXPERTISE: • Production ML Systems: Architecting supervised, unsupervised, and reinforcement learning models for real-world applications. • Generative AI & LLM Solutions: Building reliable agentic systems with advanced prompting, fine-tuning, and guardrails • Knowledge Grounding: Implementing RAG pipelines with vector databases and graph architectures for enhanced accuracy • Data Infrastructure: Designing scalable database solutions (relational & vector) optimized for AI workloads PAST PROJECTS: ✅ AI Project Manager Agent - Built multi-agent system capable of automated project planning and coordination, reducing onboarding time for hospital facilitation from 8 to 1 hour ✅ End-to-End Analytics Platform - Engineered petabyte-scale data pipeline managing 5TB+ (800B+ rows) of options trading data on BigQuery for daily quantitative research ✅ n8n AI Video Ad Generator - Developed automation pipeline integrating Google Veo3, enabling overnight bulk creation of video ads, completely eliminating manual production TECHNICAL STACK: • Python (5+ years production experience) • LangChain ecosystem (LangGraph, LangSmith, LangFuse) • Multi-agent architectures • MCP servers, Guardrails, RAG, and LLM memory systems • AI-assisted development (Cursor, Claude Code) • n8n workflow automation Let's connect and explore how AI can transform your operations.