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Proud partner with NVIDIA Inception + MIcrosoft Startups ⭐⭐⭐⭐⭐ "Amazing work with Nitish, very professional and glad..." ⭐⭐⭐⭐⭐ "Professional and with great expertise. A pleasure to work with!" ⭐⭐⭐⭐⭐ "Great attention to detail and v responsive..." ⭐⭐⭐⭐⭐ "Very good developer, Really he saved my time and solved my problem in very short time. Best developer ... on Upwork" ════════════════════════ 🏆 UPWORK ACCREDITATIONS & ACHIEVEMENTS ✅ Top Reinforcement Learning Freelancer in India ✅ Top 5 Computer Vision Engineer in India ✅ Top 10 Machine Learning Engineer in India ✅ Top 10 Deep Learning Experts in India ✅ Best Robot Operating System (ROS) Developers in India ✅ Top PyTorch Freelancer in India ✅ Top 20 Robotics Agency (Robolabs AI) ✅ 100% Job Success Rate with perfect client satisfaction ✅ Top Rated Status with 5-star client reviews ════════════════════════ ⚡ EXPERTISE & SERVICES Specializing in high-performance AI/ML solutions using Python, C++, and MATLAB 🔹 Machine Learning & Reinforcement Learning Chatbots • Recommendation Engines • Autonomous Decision-Making Systems 🔹 Robotics & Autonomous Systems Real-time Localization • Robotic Control • Motion Planning 🔹 Computer Vision Applications Autonomous Vehicles • Surveillance • Quality Control Systems 🔹 Cloud AI Deployment Scalable Solutions on AWS, GCP, Azure • Docker • Kubernetes 🔹 Quality Assurance Rigorous Testing • Top-Performing Models • Enterprise Reliability ════════════════════════ ⚡ TECHNICAL SKILLS 🤖 Robotics: ROS, ROS2, Isaac Sim, SLAM, RL, Gazebo, MoveIT, RoboDK, RPA, End-to-end Learning, Sim2Real, Digital Twin, Robotics Sensors (LiDAR, Stereo Camera, IMU, Odom) 🧠 LLM Development: Supervised Fine-tuning, DRPO with state-of-art models (DeepSeek, o1, o3-mini, Claude Sonnet, Grok, Google Gemini, Mistral) 📊 Machine Learning & Deep Learning: TensorFlow, PyTorch, Keras, Scikit-learn, StableBaselines, XGBoost, LightGBM 💬 NLP: spaCy, NLTK, Hugging Face Transformers, OpenAI API 👁️ Computer Vision: VLMs, OpenCV, YOLO, SAM, SAM2, Point Cloud Library (PCL), Dlib 🎯 Reinforcement Learning: OpenAI Gym, RLlib, Unity ML-Agents 📈 Data Science & Big Data: Pandas, NumPy, Dask, Apache Spark, Hadoop, Presto 🗄️ Data Storage: SQL, MongoDB, Cassandra, Neo4j, Dgraph ☁️ Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, Terraform, CI/CD (Jenkins, GitLab CI) 🚀 AI Deployment: ONNX, TensorFlow Serving, NVIDIA Triton, MLflow, FastAPI, Flask 💻 Programming Languages: Python, C++, C, MATLAB 🌐 Web Frameworks: React, Node.js, Flask, Django 🔧 Automation & CRM: Zapier, Make, Salesforce, HubSpot, Airtable, Notion ⚙️ Other Tools: Apache Kafka, Redis, RabbitMQ, Elasticsearch, Prometheus, Grafana ════════════════════════ ⭐ WHY CHOOSE ROBOLABS AI? 🏆 Award-Winning Excellence Backed by Microsoft • Trusted Global Leader • Recognized for Consistent Quality 🌍 Global Presence, Local Commitment Team Members Worldwide • Seamless Support • Round-the-Clock Availability 📊 Proven Track Record 100+ Successfully Delivered Projects • AI-Driven Automation • Intelligent Systems ════════════════════════ ✨ WHAT SETS US APART 🏢 Enterprise-Grade Solutions: From MVP to production systems handling millions of users 🔄 Complete AI Implementation: End-to-end development, deployment, and maintenance 🎯 Industry Expertise: 100+ successful projects across Fortune 500 companies and fast-scaling startups 🚀 Cutting-Edge Technology: Using 2025’s breakthrough AI models and frameworks ════════════════════════ At Robolabs AI, we blend technical expertise with industry insights to create AI solutions that transform your business.

🏆 🔝𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 on UPWORK😊 👋 Hi, I'm Aman. I help businesses automate repetitive work, reduce manual effort, and build scalable AI-powered systems using Python, AI Agents, OpenAI, Claude, n8n, OCR, and workflow automation. With 5,700+ hours of professional experience, I have built AI assistants, automation workflows, document processing systems, data extraction pipelines, API integrations, and custom business automation solutions for startups, agencies, and enterprise clients. 🏆 Top Rated Freelancer ✅ 100% Job Success ✅ Production-Ready Solutions ✅ Fast Communication ✅ Long-Term Support 💡 What I Can Help You With 🤖 AI Agents & Autonomous Workflows ⚡ n8n Automation 🧠 OpenAI, Claude & Gemini Integrations 📄 OCR & Document Processing Systems 🔍 Web Scraping & Data Extraction 📊 Lead Generation Automation 📚 RAG (Retrieval Augmented Generation) 💬 AI Chatbots & Virtual Assistants 🔗 API Development & Integrations 🐍 Python Automation Scripts 📈 Data Processing Pipelines ☁️ Cloud-Based AI Solutions 🛠 Technologies I Work With Python n8n OpenAI Claude Gemini LangChain CrewAI AutoGen Pinecone ChromaDB FAISS PostgreSQL Supabase Docker FastAPI Flask Selenium Playwright BeautifulSoup OCR Tesseract AWS 💼 Recent Project Experience ✔ AI Agents with memory and tool calling ✔ OCR systems for invoices, receipts, and documents ✔ Large-scale data extraction and scraping pipelines ✔ OpenAI and Claude-powered business assistants ✔ Workflow automation using n8n and custom APIs ✔ RAG applications connected to private business knowledge bases ✔ AI-powered document analysis systems My focus is simple: Build reliable AI systems that save time, automate operations, and deliver measurable business results. 📩 Let's build something valuable together.

I've built a system that reads ID cards from a live video call without any human involved. I've built a platform where logistics clients record themselves on camera and admins track every document they submit. I've shipped real work to real clients — a 3D product animation for a skincare brand and a portfolio site someone actually uses today. That's the kind of work I do. - Computer vision & OCR pipelines - AI apps using OpenAI and Gemini - Full-stack with Python + React - 3D modeling and product animation in Blender Stack I work with: Python, FastAPI, OpenCV, YOLO, Tesseract OCR, React.js, Node.js, MongoDB, Supabase, OpenAI API, Gemini API, Hugging Face, Docker, Git, Blender I'm straightforward to work with, I ask the right questions upfront, and I deliver what I said I would.

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. 🔴 I am in the 𝗧𝗼𝗽 𝟭% overall on Upwork 🔴 I am in the 𝗧𝗼𝗽 𝟰% overall on Stack Overflow ✅ 𝟏𝟎𝟎𝐊+ 𝐓𝐨𝐭𝐚𝐥 𝐞𝐚𝐫𝐧𝐢𝐧𝐠𝐬 ✅ 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐑𝐚𝐭𝐞 ✅ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 ✅ 𝟏𝟎+ 𝐘𝐞𝐚𝐫𝐬 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 ✅ 𝟗𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞𝐝 ✅ 𝐀𝐖𝐒 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 ✅ 𝟓𝟎𝐡𝐫𝐬/𝐰𝐞𝐞𝐤 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 ✅ 𝟒+ 𝐲𝐞𝐚𝐫𝐬 𝐀𝐈/𝐌𝐋 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 ✅ 𝐏𝐲𝐭𝐡𝐨𝐧 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐆𝐫𝐞𝐞𝐭𝐢𝐧𝐠𝐬! 𝐈 𝐚𝐦 𝐀𝐚𝐲𝐮𝐬𝐡, 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, LangGraph, Semantic Kernel, OpenAI Swarm, OpenAI Assistants API, MCP, Vapi, Retell AI, Bland AI, Synthflow, LiveKit, Pipecat, Amazon Polly, Deepgram, ElevenLabs, Whisper, Rasa AI 🔹 𝐋𝐋𝐌 𝐅𝐢𝐧𝐞-𝐭𝐮𝐧𝐢𝐧𝐠: PEFT, LoRA, QLoRA, RLHF, DPO, ORPO, SFT, TRL with Unsloth, Axolotl, HuggingFace AutoTrain, SageMaker 🔹 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: LLaMA 3, Mistral 7B, Mixtral 8×7B, Qwen, DeepSeek, Phi-3, Falcon, Gemma 🔹 𝐂𝐥𝐨𝐬𝐞𝐝 𝐋𝐋𝐌𝐬: GPT-4o, o1, o3, Claude, Gemini, Amazon Bedrock, Cohere 🔹 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: vLLM, TGI, TensorRT-LLM, Ollama, llama.cpp, Groq 🔹 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Multi-turn, Few-shot, Zero-shot, Chain-of-Thought, ReAct, RAG-based prompts 🔹 𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: AWQ, GPTQ, GGUF, GGML, bitsandbytes 🔹 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: LangChain, LlamaIndex, Haystack, GraphRAG, ChromaDB, FAISS, Pinecone, Qdrant, Weaviate, Milvus, pgvector 🔹 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: n8n, Make, Zapier AI, Flowise, LangFlow, StackAI 🔹 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Stable Diffusion, DALL·E, Flux, Midjourney, ControlNet, GPT-4 Vision 🔹 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞: Synthetic dataset generation, LLM evaluation frameworks, Ragas, DeepEval 🔹 𝐋𝐋𝐌𝐎𝐩𝐬 & 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠: LangSmith, Langfuse, TruLens, Weights & Biases 🔹 𝐌𝐋 & 𝐍𝐋𝐏: PyTorch, TensorFlow, HuggingFace Transformers, scikit-learn, sentence-transformers 🔹 𝐋𝐋𝐌 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK, BentoML, Modal, Replicate 🖥️ 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. Warm regards, Aayush Saini

I turn camera feeds into production AI systems, real-time object detection, video analytics, edge deployment. 45+ shipped with my Brainy Neurals team. Most AI camera projects die in the gap between training and shipping. Training a model is the easy 10%. The hard part is compiling for edge hardware, hitting latency budgets, and keeping it running under field conditions, dim lighting, dropped frames, flaky networks. That's the layer I architect personally, with my team handling delivery. Across 45+ production deployments in construction, manufacturing, sports, surveillance, and healthcare, the systems run on NVIDIA Jetson, Qualcomm, and custom low-power silicon. Edge-optimized with TensorRT, orchestrated with DeepStream, monitored in production. Backed by NVIDIA Inception Partner, AWS Activate, and Microsoft for Startups, the three partnerships that tend to matter when enterprise procurement is reviewing the architecture. When a project needs more than cameras, document intelligence, RAG, LLM applications woven into a vision workflow, the Brainy Neurals team ships those too. Typically as extensions of the primary system, not as standalone contracts. How I engage: discovery call to pressure-test feasibility, scoped architecture document before any code is written, then delivery with my team executing and me owning every architecture decision. Projects move fastest when I can see the cameras, the environment, and one sample of the data in the first call. The single thing that separates me from most CV profiles you'll see on Upwork: I've shipped 45 production systems that are still running, which means I know what actually breaks in the field versus what only breaks in a notebook. That's the experience I bring to every architecture call. If you're building a camera-AI system that has to work in a real environment, and you want an architect who stays on the project through delivery, send me a message. Describe your use case, the environment it runs in, and your rough timeline. I respond within 24 hours with an honest read on whether I can help, how I'd approach it, and what a realistic delivery timeline looks like.

Computer Vision & AI Data Annotation Specialist with expertise in segmentation, bounding boxes, polygon annotation, QA review, and dataset validation. Experienced in handling large-scale datasets including building defect inspection, crack/spalling detection, utility pole annotation, medical imaging, and industrial AI datasets. Successfully completed 1M image annotations with high accuracy and consistent quality delivery. Tools: • CVAT • Labelme • Roboflow • Amazon SageMaker • Supervisely Specialized in: • Segmentation • QA Review • Bounding Box Annotation • Dataset Validation • Building Defect Annotation • Computer Vision QA I focus on accurate, scalable, and production-ready annotation workflows for AI model training.