Hire the Best NVIDIA AI Platform Specialists

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!

I design, optimize, and integrate real-time object detection and tracking pipelines for NVIDIA Jetson, RK3588, and cloud environments — with measurable gains in FPS, latency, and deployment stability. From YOLO training to TensorRT optimization and production integration, I build Computer Vision systems that work reliably on real hardware. If you need more than just a trained model — if you need a working AI system integrated into hardware or software — I deliver complete, production-ready solutions. 🎯 WHAT I DELIVER • End-to-End Deep Learning Pipelines Model architecture → dataset optimization → training → evaluation → deployment • Real-Time Object Detection & Multi-Object Tracking Optimized YOLO pipelines with stable tracking (DeepSORT / ByteTrack / BOT-SORT) • ⚡ Edge AI Acceleration & Performance Optimization TensorRT conversion, CUDA acceleration, latency reduction, memory tuning, FPS improvements • 🔗 AI Integration into Production Systems Jetson deployment, inference APIs, embedded integration, debugging, monitoring & system optimization 🏆 PROVEN EXPERIENCE • 5★ Upwork reviews for NVIDIA Jetson Nano, AGX & Orin deployments • Deployed Frigate and real-time CV pipelines on Jetson Orin NX • Optimized inference performance using TensorRT for improved real-time execution • Installed and configured LLM environments with secure key management & usage tracking • Research & production AI deployment experience at HBrain 🛠 TECH STACK Deep Learning: PyTorch, CNN architectures, YOLO variants Computer Vision: OpenCV, real-time video processing, detection & tracking Optimization: TensorRT, CUDA Systems: Linux, Embedded Systems, NVIDIA Jetson Languages: Python, C++ If you share your hardware target, dataset sample, or performance goal, I can propose a clear technical architecture and realistic delivery plan.

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 have successfully delivered projects for leading global organizations and enterprises, including Ciena, Merck, Red Cross, ADT, SaskTel, Queensland Government, Toshiba, and McDonald's. ⭐ I specialize in challenges Innvoaite Solutions for Digital Human Interaction. High-Level System Architecture intelligent, scalable AI applications — from real-time LLM/NLP ingestion pipelines and low-latency streaming systems to retrieval-augmented generation (RAG), embeddings, and multimodal AI. My core stack includes Python, FastAPI, WebSockets, and distributed microservices for ultra-responsive AI agents, and I’ve recently expanded into Solana blockchain dApps, delivering production-ready token programs, LP integration, and on-chain transaction flows with enterprise-grade reliability. 🔹 Core AI & NLP Skills: • LLM integration: OpenAI, Claude, HuggingFace Transformers, Twilio, ElevenLabs Apis • Retrieval-Augmented Generation (RAG) with pgvector, Pinecone, and semantic chunking • Whisper transcription with speaker diarization and sentiment analysis • FastAPI backend services with real-time capabilities (SSE, WebSockets) * SQL Database: Postgres (Supabase) 🔹 Solana Development: • Built full-stack Solana NFT Mint + Purchase App with Phantom Wallet, SPL token transfer, and secure transaction feedback • Minting & Token Programs using @solana/web3.js, @solana/spl-token, and Raydium LP pairing • Integrated Phantom Wallet for Devnet/Mainnet, including environment-based .env support • Experience with Solana Devnet workflows, sugar CLI, token locking, and liquidity pairing 🔹 Full-Stack Development: • Frontend: React.js, Angular – responsive, production-grade UIs • Backend: Python (FastAPI, Flask, Django) • Database: PostgreSQL, Redis – optimized schema and queries • DevOps: Docker, CI/CD, AWS (EC2, S3, ECS), GCP * Lambda / Python: IVR, NLP, Data Layer, Infrastructure, Security & config, Observability, CI/CD 🔹 Commitment to Excellence: I deliver production-ready, secure, and scalable solutions tailored to client needs. I offer post-launch support and continuous improvements to ensure long-term success. Let’s connect to discuss how I can contribute to your project. Thank you, ~ Saif

7+ years building production computer-vision, OCR, edge-AI, and AI backend systems where accuracy, latency, and reliability matter. Typical work includes defect detection, live video/object tracking, on-device model optimization, document/OCR pipelines, OpenAI/RAG integrations, and launch rescue for AI products that need evaluation, observability, and clean API architecture. My strongest fit is a project with real data, a broken or uncertain pipeline, and measurable acceptance targets: accuracy, false positives, latency, edge-device constraints, cost, security, or launch readiness. Core work: - Computer vision / OCR: detection, segmentation, tracking, image analysis, OCR extraction, validation, reviewer workflows - Edge AI: ONNX/TensorRT conversion, model optimization, quantization-aware deployment, mobile/on-device inference - AI backend: OpenAI API, RAG, VLMs, source traces, confidence checks, FastAPI, PostgreSQL - Production delivery: tests, logging, monitoring, cloud deployment, handoff docs I am a good fit when AI output must be accurate, fast enough for production, reviewable, logged, and reliable enough for real business use.

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.