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I am an AI/ML engineer with 3+ years building production machine-learning systems, backed by a research track record: two accepted peer-reviewed papers, a two-time Google Summer of Code contributor, and published GPU work. What I can build for you: • LLM & vision-language fine-tuning — QLoRA/PEFT, dataset creation, evaluation, deployment-ready inference. • Self-hosted & open-source LLM deployment — running models on your own GPU servers for privacy, control, and lower cost. • RAG systems & AI agents — retrieval grounded in your documents, data, and tools, with evaluation and monitoring so it stays reliable in production, not just in a demo. • GPU & scientific computing — CUDA/CuPy/JAX acceleration, profiling, and pipelines that process terabytes of data • Full-stack delivery — FastAPI backends, React/Electron front-ends, Docker/Kubernetes, so the model ships as a real product your team can run How I work: define the use case, build the smallest reliable version first, test the edge cases, document everything, and hand you code your team can maintain after the contract ends. Core stack: Python, PyTorch, Hugging Face, CUDA/CuPy, FastAPI, React, Docker, Kubernetes. I am Top Rated with 100% Job Success and I reply within a few hours. Tell me what you're trying to build and I will build it for you.

Struggling to launch high-quality mobile apps on time? I am, an Upwork 𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐩𝐩 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 with 𝟖+ 𝐲𝐞𝐚𝐫𝐬 in React Native, delivering over 𝟑𝟎 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐚𝐩𝐩𝐬 on the App Store and Play Store that drive user engagement and business growth. 📱 𝐇𝐎𝐖 𝐈 𝐂𝐀𝐍 𝐇𝐄𝐋𝐏 𝐘𝐎𝐔 𝐑𝐞𝐚𝐜𝐭 𝐍𝐚𝐭𝐢𝐯𝐞 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐩𝐩 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ✓ Build high-performance, cross-platform apps for iOS and Android with React Native expertise. 𝐀𝐩𝐩 𝐒𝐭𝐨𝐫𝐞 & 𝐏𝐥𝐚𝐲 𝐒𝐭𝐨𝐫𝐞 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐢𝐧𝐠 ✓ Seamless deployment and release management to get your app live on both major platforms. 𝐂𝐮𝐬𝐭𝐨𝐦 𝐀𝐏𝐈 & 𝐅𝐢𝐫𝐞𝐛𝐚𝐬𝐞 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 ✓ Connect your app with robust APIs and Firebase for real-time data and push notifications. 𝐔𝐈/𝐔𝐗 𝐃𝐞𝐬𝐢𝐠𝐧 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 ✓ Transform Figma designs into intuitive, responsive mobile interfaces. 𝐂𝐈/𝐂𝐃 & 𝐖𝐡𝐢𝐭𝐞-𝐥𝐚𝐛𝐞𝐥 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 ✓ Automate app builds and deliver reusable white-labeled React Native apps tailored to your brand. ============================ 🌟 𝗪𝗛𝗔𝗧 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗦𝗔𝗬 🌟 ❝Successfully completed a super complicated hiring assessment involving native OS functions with a good turnaround time and good quality!❞ – Bogdan Tenea, GT School ❝Satya is a great Developer with hands-on experience in React Native. We've enjoyed working with him.❞ – Sofia Marjanovic, Product Manager ❝Working with Satya was great. He helped us move forward with our Project.❞ – Julia Weigel, Bright Solutions 🏆 Expert-Vetted Mobile App Developer on Upwork 🎖 Upwork Skill Certification - Javascript Front-End Development ============================ ============================ 🤝 𝗟𝗘𝗧'𝗦 𝗕𝗨𝗜𝗟𝗗 𝗬𝗢𝗨𝗥 𝗡𝗘𝗫𝗧 𝗠𝗢𝗕𝗜𝗟𝗘 𝗔𝗣𝗣 Have a mobile app idea or need expert React Native development? 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗺𝗲 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 𝘁𝗼𝗱𝗮𝘆 for a free consultation and start turning your vision into reality. I typically respond within 6 hours and prioritize timely communication. ============================ 🛠️ 𝐓𝐎𝐎𝐋𝐒 & 𝐓𝐄𝐂𝐇𝐍𝐎𝐋𝐎𝐆𝐘 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐩𝐩 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 • React Native • Objective-C • Java • Expo • Yarn 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐩𝐩 𝐃𝐞𝐬𝐢𝐠𝐧 • Figma 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 • Firestore • Supabase • MySQL • MongoDB 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐀𝐏𝐈𝐬 • Node.js • GraphQL • API Integration • API Development 𝐎𝐭𝐡𝐞𝐫 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 • Firebase • Redux • Push Notifications 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 • CI/CD • App Store Publishing • Play Store Publishing • White-labelling React Native apps React Native, Mobile App Development, iOS Development, Android App Development, Firebase, API Integration, JavaScript, CI/CD, Expo, Mobile App Design

𝐓𝐎𝐏 𝐑𝐀𝐓𝐄𝐃 𝐒𝐄𝐍𝐈𝐎𝐑 𝐁𝐀𝐂𝐊𝐄𝐍𝐃 𝐄𝐍𝐆𝐈𝐍𝐄𝐄𝐑 𝐀𝐍𝐃 𝐀𝐆𝐄𝐍𝐓𝐈𝐂 𝐀𝐈 𝐃𝐄𝐕𝐄𝐋𝐎𝐏𝐄𝐑 𝐅𝐎𝐂𝐔𝐒𝐄𝐃 𝐎𝐍 𝐁𝐔𝐈𝐋𝐃𝐈𝐍𝐆 𝐏𝐑𝐎𝐃𝐔𝐂𝐓𝐈𝐎𝐍-𝐆𝐑𝐀𝐃𝐄 𝐒𝐘𝐒𝐓𝐄𝐌𝐒, 𝐀𝐏𝐈𝐒, 𝐀𝐍𝐃 𝐀𝐈-𝐃𝐑𝐈𝐕𝐄𝐍 𝐀𝐏𝐏𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍𝐒. I am responsible for delivering features end-to-end, defining execution plans, and maintaining systems under real production load. Work includes backend development, system design, and architecture decisions that hold up over time. 𝐂𝐨𝐫𝐞 𝐬𝐭𝐚𝐜𝐤: Python, Node.js, RAG, LLM, Automation, TypeScript, JavaScript. Focus on scalable systems, high-performance applications, and maintainable code. 𝐖𝐇𝐀𝐓 𝐈 𝐂𝐀𝐍 𝐇𝐄𝐋𝐏 𝐘𝐎𝐔 𝐖𝐈𝐓𝐇? ▸ 𝐁𝐀𝐂𝐊𝐄𝐍𝐃 / 𝐏𝐘𝐓𝐇𝐎𝐍 𝐃𝐄𝐕𝐄𝐋𝐎𝐏𝐌𝐄𝐍𝐓 ✓ Python Developer with experience in Django, Flask, and FastAPI. ✓ Building REST APIs, microservices, async systems, and data pipelines. ✓ Experience with Celery, background processing, ETL workflows, and data processing systems. ✓ Focus on performance, clean architecture, and long-term maintainability. ▸ 𝐁𝐀𝐂𝐊𝐄𝐍𝐃 𝐍𝐎𝐃𝐄.𝐉𝐒 / 𝐉𝐀𝐕𝐀𝐒𝐂𝐑𝐈𝐏𝐓 ✓ Node.js Developer using TypeScript and Express.js. ✓ Backend API development, server-side applications, and event-driven architecture. ✓ Designing services that handle real-world load, failures, and edge cases. ▸ 𝐀𝐈 𝐀𝐆𝐄𝐍𝐓 𝐃𝐄𝐕𝐄𝐋𝐎𝐏𝐌𝐄𝐍𝐓 ✓ AI Agent architecture — LangChain, LangGraph, CrewAI, AutoGen, custom orchestration ✓ RAG systems — Pinecone, Weaviate, MongoDB Atlas Vector, pgvector, hybrid search, reranking ✓ LLM layer — OpenAI (GPT-4o / o1), Anthropic Claude, Gemini, open-source via Ollama / vLLM ✓ MCP servers — custom Model Context Protocol integrations for Claude Desktop and custom clients ✓ Automation — n8n, Make, Zapier, custom Python workers ✓ Eval & guardrails — LangSmith, Ragas, Arize, prompt and output evaluation pipelines ▸ 𝐅𝐔𝐋𝐋 𝐒𝐓𝐀𝐂𝐊 𝐃𝐄𝐕𝐄𝐋𝐎𝐏𝐌𝐄𝐍𝐓 ✓ Full Stack Developer working with React and Next.js. ✓ Building web applications, dashboards, and frontend integrations connected to backend systems. ✓ SPA development and UI integration with APIs. ▸ 𝐃𝐀𝐓𝐀𝐁𝐀𝐒𝐄𝐒 / 𝐈𝐍𝐅𝐑𝐀𝐒𝐓𝐑𝐔𝐂𝐓𝐔𝐑𝐄 ✓ PostgreSQL, MongoDB, Redis, Elasticsearch ✓ Database design, query optimization, indexing, high-load systems ✓ S3, SQS, Lambda, Athena, DynamoDB, EKS, Kinesis, Bedrock, CloudFront ✓ Docker, Kubernetes (Helm + ArgoCD), Terraform for IaC ✓ Datadog APM, OpenTelemetry, Sentry ✓ Qdrant, AWS OpenSearch for semantic search and RAG retrieval ✓ CI/CD, Kubernetes, serverless, Azure, Google Cloud 🤝 𝐋𝐞𝐭’𝐬 𝐁𝐮𝐢𝐥𝐝 𝐘𝐨𝐮𝐫 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 𝐎𝐫 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐒𝐲𝐬𝐭𝐞𝐦 If you're looking for Backend or AI Agent Developer to ship your next Full Stack, AI Agent, RAG system, or AI SaaS product, send me your docs or a short brief. I'll reply within 1 hour with an architecture sketch and a realistic delivery timeline.

I help medical and IoT product teams design the right hardware architecture early, so they avoid costly PCB re-spins, noise issues, and late-stage failures. If you’re building a sensor-heavy, STM32-based, or medical-adjacent product, I act as your hardware systems architect—focusing on design decisions, trade-offs, and long-term reliability, not just execution. How I typically help: • System architecture & feasibility studies • Component and topology selection (MCU, sensors, AFE, power) • Schematic-level hardware design & review • Pre-fabrication PCB audits to reduce redesign risk My work is decision-driven and outcome-focused. I start by understanding what you are building and why, then provide clear, documented recommendations you can confidently execute or manufacture. I’ve worked on medical electronics, bio signal front ends (ECG/EMG), wearables, and IoT devices, where design mistakes are expensive and timelines matter. If you’re looking for clarity, strong architecture, and fewer hardware surprises, I’d be glad to help. ✅ Core Expertise 🔹 Hardware Product Development - Architecture Design, Schematic & Layout (up to 12-layer PCBs) - Rigid, Rigid-Flex & Flex PCB Design - Signal & Power Integrity, EMI/EMC mitigation - DFM/DFT, FMEA, Risk Analysis, Certification Prep - BOM optimization, part lifecycle, obsolescence management 🔹 Sensor-Integrated Wearables & IoT - Real-time biometric sensing (ECG, EMG, HR, SpO2, Temp, IMU) - Wireless: BLE, Wi-Fi, LoRa, 4G, CAN, RS485 - Medical-grade signal acquisition & conditioning - Battery management, power efficiency & charging circuits 🔹 Prototyping & Compliance - Pre-compliance testing: EMI/EMC, Thermal, Vibration - Regulatory: Medical safety (IEC standards), ISO/NABL - Detailed documentation: test plans, architecture diagrams, handover packages 🔹 Tools & Platforms - ECAD: Altium Designer, OrCAD, CAM350, KiCAD - Firmware Platforms: STM32, Nordic nRF52, ESP32/8266, Microchip, Raspberry Pi - Protocols: I2C, UART, SPI, RS232/RS485, LVDS, RF, NFC ✅ Deliverables - Design Concept Block Diagrams - Process Flow Block Diagrams - Schematic PDF - Design Files (Schematic & Layout) - Fabrication Files - Assembly Files - Bill of Materials - 3D Models - Components Library - Test Documents (If req.) 🏆 Notable Projects & Solutions Built - Smart Drug Delivery Device: Precision-controlled insulin injector - Bone Density Meter: Early-diagnosis medical scanner - Julia Robot: Cooking automation system with embedded sensors - EMG Wearable: Portable diagnostic device for muscle activity monitoring - SOWBIT: Veterinary health monitor (ECG, SpO2, Temp) for livestock - Smart Ring: Measures multiple vitals via fingertip contact - Elite Alerte: Maritime emergency alert & sensing system - CloudSwitch: IoT-enabled wireless AC meter for remote energy tracking - Fuel Level Sensor (Ultrasonic + GSM): Real-time monitoring for containers - PoE Switch & Weighing Scale: Industrial-grade, high-precision electronics 🌍 Why Clients Choose Me ✅ Medical-grade design focus with regulatory foresight ✅ Deep cross-industry experience from wearables to industrial controls ✅ Excellent communication, proactive updates, and engineering documentation ✅ Efficient collaboration with global clients and vendors ✅ Quality-first mindset with long-term reliability and support

I ship production code faster using Claude Code as my primary development tool. Every project I deliver, from backend APIs to full-stack web apps, is built through an AI-native workflow (Claude Code Max Plan, GitHub Copilot, Warp AI) that lets me move at the pace of a small team while maintaining 80%+ test coverage and CI/CD from day one. Currently building AI-powered services for two Fortune 500 companies: an actuarial data processing API (FastAPI, Azure DevOps) for a global reinsurance firm, and cloud infrastructure for a major insurer's 10,000-employee desktop migration (Azure VDI, Terraform). WHAT I DELIVER AI Agents & LLM Systems: Built a multi-scope contextual memory platform for autonomous AI sales agents using FastAPI, AWS Bedrock, OpenSearch Serverless, and LangChain. RAG pipelines, vector search, prompt engineering, embeddings, and deploying LLMs to production with proper error handling and monitoring. OpenAI, Claude API, Deepgram, and AWS Bedrock integration. I build agents that persist memory, learn user style, and operate autonomously. Full-Stack AI Development: MERN stack, Spring Boot (Java 21), Python (FastAPI, Django), Next.js, React Native. From database schema to deployed frontend, I own the entire stack so you coordinate with one person instead of three. Built and maintain FocusHive (focushive.app), a live multi-service platform with Spring Boot microservices and a Next.js frontend. 1,376+ tests across my Stripe integration toolkit alone. Claude Code & AI-Native Workflow: Claude Code Max Plan is my daily driver for architecture decisions, complex refactoring, TDD, and debugging. Combined with GitHub Copilot and Warp AI, I deliver at a velocity that typically requires a 2-3 person team. This isn't a gimmick; it's how I maintain quality at speed across 59 delivered contracts. DevOps & Cloud: Azure DevOps pipelines, Docker, GitHub Actions, Terraform. Designed hub-spoke Azure infrastructure with ExpressRoute, Firewall rules, and multi-region DR for an enterprise migration. Multi-environment deployments with monitoring and automated rollbacks. MLOps: Production NLP pipeline processing 1,000+ daily messages with OpenAI + VADER fallback, delivering 60% reduction in manual moderation and 70% cost savings. Experience with AWS Bedrock inference, embedding pipelines, vector database management (OpenSearch, Pinecone, Chroma), and model monitoring. BEST FIT FOR - Teams that want an AI-native developer who ships fast with Claude Code - Companies building AI agents, RAG systems, or LLM integrations - Enterprise API development with compliance requirements (GDPR, SOX, HIPAA) - SaaS product development from database to deployment Available 30-40 hours/week for dedicated engagements. Timezone: IST (UTC+5:30), flexible overlap with US/EU/Canadian hours.

Greetings! I am Shivam Barnwal, 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, Shivam Barnwal