I develop scalable 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐒𝐚𝐚𝐒 platforms from zero to production. I specialize in designing and engineering complex systems that combine: • 𝐑𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 • 𝐋𝐋𝐌 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 • 𝐌𝐮𝐥𝐭𝐢-𝐭𝐞𝐧𝐚𝐧𝐭 𝐒𝐚𝐚𝐒 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 • 𝐒𝐞𝐜𝐮𝐫𝐞, 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐀𝐖𝐒 𝐛𝐚𝐜𝐤𝐞𝐧𝐝𝐬 Over the past 6+ years, I’ve helped startups and growing companies ship production-grade platforms in: ✔ 𝐀𝐈 & 𝐋𝐋𝐌 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 ✔ 𝐄𝐝𝐓𝐞𝐜𝐡 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 ✔ 𝐅𝐢𝐧𝐓𝐞𝐜𝐡 & 𝐏𝐚𝐲𝐦𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 ✔ 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 ✔ 𝐌𝐚𝐫𝐤𝐞𝐭𝐩𝐥𝐚𝐜𝐞 & 𝐒𝐚𝐚𝐒 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐬 I work directly with founders and product owners to: • Design scalable architecture • Balance speed with long-term maintainability • Make technical decisions that survive growth • Build platforms ready for 10x scale I have developed real-time AI products including: • AI mock interview platform (voice + OpenAI streaming + analytics) • AI-powered recruitment engine • LLM-based tutoring systems • RAG pipelines and vector search systems • Conversational AI with real-time streaming 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞: • Node.js / NestJS microservices • REST & GraphQL APIs • Multi-tenant SaaS design • Background job processing (queues, Redis) • Rate limiting & abuse protection • Secure authentication (JWT, OAuth, RBAC) 𝐂𝐥𝐨𝐮𝐝 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: • AWS (ECS, Lambda, RDS, S3, CloudFront, Cognito) • CI/CD pipelines • Cost-aware architecture • Zero-downtime deployments 𝐂𝐨𝐫𝐞 𝐒𝐭𝐚𝐜𝐤: - Frontend: React, Next.js, TypeScript, Tailwind - Backend: Node.js, NestJS, Express - Database: PostgreSQL, MongoDB, DynamoDB, Redis - AI: OpenAI, LLaMA-based models, RAG pipelines - Cloud: AWS, Docker, CI/CD Available for complex and long-term projects. Send me a message with your requirements and I’ll respond with a structured technical approach.

Are you looking for an AI-powered DevOps / SRE engineer who doesn't just maintain infrastructure - but makes it smarter, self-healing, and cost-optimized? You're in the right place. With 10+ years of hands-on experience in Site Reliability Engineering and DevOps, I have evolved my practice by integrating AI and automation at every layer of the stack. From building MCP (Model Context Protocol) servers that let AI agents manage AWS & Azure resources, to deploying intelligent log monitoring and cost analysis pipelines - I bring a modern, AI-first approach to infrastructure engineering. What Sets Me Apart: AI-Enhanced DevOps I don't just use traditional DevOps tools - I augment them with AI to deliver faster results and deeper insights: MCP Servers for Cloud Automation: I build and deploy Model Context Protocol (MCP) servers that allow AI agents to directly interact with AWS & Azure APIs - automating provisioning, auditing, incident response, and resource management through natural language workflows. Fine-Grained Cloud Auditing & Deep Cost Analysis: AI-driven scripts that continuously scan your cloud accounts, flag unused resources, detect anomalous spending patterns, and generate actionable cost-optimization reports - saving clients 20-40% on monthly cloud bills. AI-Powered Python Automation: Custom Python scripts powered by LLMs that replace tedious manual processes - from auto-generating Terraform modules to intelligent config drift detection and remediation. AI-Powered Log Monitoring & Anomaly Detection: Intelligent observability pipelines that go beyond static thresholds - using AI to detect patterns, predict outages, auto-classify errors, and surface root-cause insights from logs (Loki, ELK, CloudWatch). Helm & Kubernetes with AI Agents: AI-assisted cluster management using agents that monitor pod health, auto-scale workloads, optimize Helm chart configurations, and provide natural-language troubleshooting for K8s issues. Core Technical Skills: 1. Cloud Platforms: AWS (Primary), Azure, Google Cloud, Digital Ocean 2. Databases: RDS, DynamoDB, MongoDB, PostgreSQL 3. IaC & CI/CD: Terraform, Ansible, CloudFormation, GitHub Actions, GitLab CI, Azure DevOps, Jenkins 4. Containers: Docker, ECS Fargate, EKS, Kubernetes, Helm 5. Observability: Grafana, Prometheus, OpenTelemetry, CloudWatch, X-Ray, Loki, ELK, New Relic 6. AI Tooling: MCP Servers, AI-powered Python scripts, LLM-integrated workflows, AI agents for K8s 7. Web/Infra: Nginx, Apache, ALB/NLB, Proxmox, KVM Certifications: AWS Certified Solutions Architect – Associate AWS Certified SysOps Administrator – Associate When you work with me, you get: Fast responses - I value your time Clear communication - structured milestones AI-first mindset - faster, smarter, more cost-effective solutions If any of the above sounds like what you need, let's connect!

Hello, I’m Muhammad Adeel, a Senior Full-Stack Developer with extensive experience building web and mobile applications. I have been developing web solutions since 2014 and mobile applications since 2018, working with a wide range of modern front-end and back-end technologies. **Core Technical Skills** **Front-End:** ReactJs, NextJs, HTML5, CSS3 **Back-End:** PHP, Laravel, NodeJs, CodeIgniter, CakePHP, WordPress **E-Commerce Platforms:** Magento, Shopify, OpenCart, WooCommerce **Mobile Development:** Swift, Objective-C, Java, React Native **Databases:** MySQL, PostgreSQL, SQLite, MongoDB, Microsoft SQL Server, Amazon DynamoDB **Servers & Cloud:** AWS, Heroku, Cloudways **Other Expertise:** REST API Development, API Integration, Web Services, JSON I follow industry best practices, write clean and well-documented code, and build scalable, maintainable applications using agile methodologies. Whether you need a project built from scratch or support for an existing system, I’m committed to delivering reliable and high-quality solutions. I am open to new opportunities and look forward to building long-term partnerships with great clients. Thank you, Muhammad Adeel

Full Stack Developer with 8+ years building production-ready web applications, APIs, and mobile solutions. I help startups, SaaS companies, and scaling teams ship with React, Node.js, and AWS. Delivered on time, documented, and built to handle real traffic. Top Rated Plus on Upwork. 100% Job Success Score across 17 projects, 2,200+ hours billed, $30K+ delivered. My longest engagement ran 1,500+ hours over 8 months: a NestJS microservices platform that closed with a 5.0 rating and zero escalations. I work as a full stack developer across the entire product: React frontends, Node.js/NestJS backends, PostgreSQL and MongoDB data layers, and AWS cloud infrastructure. TypeScript throughout. Not optional when you're building systems that survive production. If you've been burned by developers who disappear or over-promise, that's what the 100% JSS and 1,500+ hour single-client engagement is about. A full stack developer who stays, delivers, and treats your codebase like their own. My technical stack: - Frontend: React, Next.js, TypeScript, Redux, Tailwind CSS, Material UI - Backend: Node.js, NestJS (1,500+ production hours), Express.js, GraphQL, REST APIs, WebSockets - Cloud: AWS Lambda, EC2, S3, RDS, DynamoDB, SQS, EventBridge, Kinesis, CloudFront, Cognito - Mobile: React Native (4+ years, 4 apps published on App Store and Google Play) - Databases: PostgreSQL, MongoDB, DynamoDB, Redis, Elasticsearch - DevOps: Docker, CI/CD via GitHub Actions, microservices on ECS/Fargate What I've shipped: - Built 7+ NestJS microservice domains (Payment, Auth, Course, Calendar, Chat, Profile, Social) for a multi-tenant creator/e-learning platform, with a real-time ETL pipeline via MongoDB CDC → Pub/Sub → BigQuery, millions of events at sub-second latency - Architected serverless e-commerce on AWS Lambda handling 50,000+ daily transactions: 99.9% uptime, 40% cost reduction vs EC2, zero manual scaling - Delivered 60% faster API response times for a React Native FinTech app serving 50K+ active users - Built React frontend for Travala: 2.2M+ accommodations, 600+ airlines, 80 countries, crypto + fiat payments - IoT analytics pipeline processing 500,000+ events/hour on Kinesis + Lambda with CloudWatch dashboards - RAG chatbot on Amazon Bedrock (Claude 3) + OpenSearch vector store, CloudFormation-deployed What I take on as a full stack developer: - SaaS platforms and multi-tenant web applications - React and Next.js frontend development - Node.js and NestJS backend API development - AWS serverless architecture (Lambda, DynamoDB, API Gateway) - React Native mobile development for iOS and Android - Real-time systems: WebSockets, event-driven architectures - Database design, optimization, and migration - Third-party API integrations: Stripe, Firebase, Shopify, WhatsApp Business - Performance tuning and scaling for high-traffic apps - Code reviews, architecture planning, and team onboarding for engineering leads who need a senior developer they can trust - AI feature integration: RAG pipelines, Amazon Bedrock, vector search, LLM-powered workflows Across 17 projects, clients tag me: Collaborative (7x), Committed to Quality (5x), Reliable (5x), Solution Oriented (5x). Daily updates. No ghosting. If a blocker appears, I flag it and bring a fix. Available full-time this week. Message me with what you're building and I'll give you an honest read on fit, timeline, and stack.

🔥 Senior Full Stack Developer For SaaS, Ecommerce, AI Features And Complex Web Platforms. 🔥 I have worked in enterprise cloud solutions with 𝟱𝟬𝟬𝟬+ 𝘁𝗮𝗯𝗹𝗲𝘀, 𝟱𝟬𝟬𝗚𝗕+ 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲, 𝟭 𝗠𝗜𝗟𝗟𝗜𝗢𝗡 𝗮𝗰𝘁𝗶𝘃𝗲 𝘂𝘀𝗲𝗿𝘀. My work has supported funded startups and high scale platforms including ✅ Elevatus with 10.5M dollars in funding ✅ Tallyfy with 1.4M dollars in funding ✅ MetaBeta with 500K euros in funding ✅ Skolaro with 1.5M plus users ✅ 40 plus complex web and software projects delivered across SaaS, ecommerce, HR tech, education, healthcare, real estate, finance, CRM, ERP, and automation I use modern workflows and AI coding tools to move up to 5x faster while still reviewing architecture, security, data flow, and code quality manually. Speed matters, but reliability matters more. I use modern development workflows and AI coding tools to move faster on scaffolding, refactoring, tests, documentation, and repetitive tasks. Architecture, security, data flow, database design, code quality, and production readiness are always reviewed manually. Clients hire me when they need a senior developer who can take ownership, understand the full system, fix frontend and backend complexity, improve performance, and ship reliable production work. 𝐅𝐔𝐋𝐋 𝐒𝐓𝐀𝐂𝐊 𝐃𝐄𝐕𝐄𝐋𝐎𝐏𝐌𝐄𝐍𝐓 𝐖𝐈𝐍𝐒 ✅ High-conversion Landing Page and Frontend Development systems using React, Redux, JavaScript, TypeScript, Next.js, Vue.js, and Nuxt.js ✅ Enterprise dashboards with Data Visualization, RxJS, and real-time API Integration ✅ Performance-critical applications with Website Performance Optimization, webpack, and scalable Frontend Development Framework architecture ✅ Motion-driven User Experience using GSAP and UI micro-interactions ✅ Production-grade Backend Development using Laravel, Symfony, CodeIgniter, Node.js, Nest.js, Express.js, Django, Flask, and Fast API ✅ Secure API, API Development, and API Integration for SaaS platforms ✅ Data-driven systems optimized with MySQL, MySQL Programming, PostgreSQL, and MongoDB 𝐅𝐑𝐎𝐍𝐓𝐄𝐍𝐃 + 𝐁𝐀𝐂𝐊𝐄𝐍𝐃 + 𝐖𝐄𝐁 𝐃𝐄𝐕𝐄𝐋𝐎𝐏𝐌𝐄𝐍𝐓 Frontend Development and Backend Development are not separate silos. On the frontend, I build scalable interfaces using HTML, HTML5, CSS, CSS3, SCSS, Sass, Bootstrap, TailwindCSS, Material UI, Vuetify, and modern CSS Framework standards with strict Responsive Design and accessibility. On the backend, I engineer reliable systems using PHP, Core PHP, Custom PHP, PHP Unit, CakePHP, Python, Ruby, Ruby on Rails, JavaScript, and TypeScript, ensuring clean Authentication, Authorization, and Versioning across all APIs. 𝐅𝐔𝐋𝐋 𝐒𝐓𝐀𝐂𝐊 𝐄𝐍𝐆𝐈𝐍𝐄𝐄𝐑𝐈𝐍𝐆 I design Web Development systems that support real users, real traffic, and real growth. I refactor unstable applications, improve Backend Development Framework structure, optimize API Development, and ensure frontend performance aligns with backend scalability. 𝐑𝐄𝐒𝐔𝐋𝐓𝐒 𝐀𝐍𝐃 𝐃𝐄𝐋𝐈𝐕𝐄𝐑𝐘 𝐄𝐗𝐏𝐄𝐑𝐈𝐄𝐍𝐂𝐄 ✅ 12 plus years of full stack development experience ✅ 40 plus complex software and web projects delivered ✅ 1M plus active users supported on high scale platforms ✅ 1.5M plus users supported in education technology platforms ✅ 10,000 plus job board integrations supported in HR tech systems ✅ 5,000 plus database tables handled in enterprise cloud environments ✅ 500GB plus database systems worked on and optimized ✅ Up to 80 percent application load time improvement through frontend, backend, caching, database, and query optimization ✅ 47 node AI automation workflows built for recruitment, screening, scoring, scheduling, and follow up ✅ 800 plus hours of automation work across CRM, operations, notifications, internal workflows, and business processes 𝗦𝘂𝗺𝗺𝗮𝗿𝘆: I've worked across every layer of the stack. On the frontend, I've built production applications with React, Redux, Next.js, Vue.js, Nuxt.js, Angular, AngularJS, Angular 9, Angular 10, and Angular Material. I write clean, semantic HTML and HTML5 with CSS, CSS3, SCSS, Sass, Bootstrap, TailwindCSS, Material UI, Vuetify, and modern CSS Framework standards, always with Responsive Design, Mobile-First Design, and Cross-Browser Compatibility as non-negotiables. On the backend, I've shipped production systems with Laravel, Symfony, CodeIgniter, Node.js, Nest.js, Express.js, Django, Flask, and Fast API — writing in PHP, Core PHP, Custom PHP, Python, JavaScript, TypeScript, Ruby, and Ruby on Rails with comprehensive PHP Unit testing. I design and integrate REST APIs, handle API Integration and API Development for SaaS platforms, and work with MySQL, advanced MySQL. Let’s build it right.

3,200+ hours on a single AI production system. 100% Job Success. 63 contracts completed. Full overview If you're building an AI agent, LLM-powered app, or intelligent SaaS product — I've likely already shipped something similar. 12,500+ hours on Upwork. 100% Job Success Score. 63 contracts completed. I don't experiment on your project. I bring production-proven patterns for AI systems and scalable cloud architecture. — What I build for clients — AI Agents & LLM Applications RAG pipelines, multi-agent systems, chatbots, and AI workflows using LangChain, LlamaIndex, OpenAI (GPT-4o), Anthropic (Claude), Gemini, and AWS Bedrock. I've spent 3,200+ hours on a single long-term LLM project — I understand what it takes to ship AI that actually works in production, not just in demos. Full-Stack Web Applications React.js / Next.js frontends paired with Node.js (NestJS, ExpressJS) or Python (FastAPI, Django) backends. From architecture design to deployment on AWS ECS, Lambda, and EC2. Cloud Architecture on AWS Bedrock, Cognito, Appsync, Lambda, API Gateway, S3, ECS, RDS, CloudWatch, SES/SNS, Route53. I design systems that scale and don't break at 3am. — My stack in brief — Backend: Node.js (NestJS, ExpressJS, Fastify), Python (FastAPI, Django), TypeScript AI/ML: LangChain, OpenAI, Anthropic Claude, Gemini, AWS Bedrock, Grok Frontend: React.js, Next.js, TypeScript, Redux, Tailwind, Material-UI Databases: PostgreSQL, MongoDB, DynamoDB, MySQL, Firebase, Redis Cloud: AWS (10+ services), Docker, Nginx, Google Cloud Mobile: React Native — Why clients keep coming back — I treat your project like a product, not a task list. I flag risks early, communicate proactively, and write code I'd be comfortable maintaining myself. My 0-4 hour average response time means you're never waiting on a blocker. Ready to start? Send me a message or invite me to your job — I respond within hours.

AI Engineer. I ship production LLM apps (RAG, agents, OpenAI integrations) for SaaS founders. $400K+ earned on Upwork · 100% Job Success · 14,000+ billable hours · Top Rated Plus (Top 3%) Available in US Eastern business hours so your 9 AM meetings work perfectly. ✅ Production AI I've shipped: 1. RAG pipelines with vector retrieval, re-ranking, and eval harnesses 2. Multi-step AI agents using LangChain, LangGraph, and custom orchestration 3. OpenAI, Claude, and Gemini integrations with model-agnostic fallbacks 4. Voice AI with ElevenLabs, MCP servers, Google Agentspace, A2A 5. Token cost controls, prompt-injection guardrails, hallucination monitoring ✅ Best fit if you're thinking: 1. "My OpenAI bill is spiraling and I need it controlled without losing quality." 2. "My RAG retrieval returns irrelevant chunks. The answers are wrong." 3. "My AI agent loops, times out, or breaks on edge cases." 4. "I need to move from prototype to production but don't know how to scale LLM calls." 5. "I want to swap models (OpenAI, Claude, Gemini) without rewriting my stack." 6. "I need evals and monitoring, not vibes-based testing." ✅ Stack: GenAI: LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic, ElevenLabs, MCP, A2A, Google Agentspace Backend: Python (FastAPI, Flask, Django), Node.js, .NET Core Frontend: React, Next.js, Angular Cloud: AWS (Lambda, API Gateway, ECS, Step Functions, RDS), Docker Data: PostgreSQL, MongoDB, DynamoDB, Pinecone, Weaviate, PGVector ✅ SaaS products I've built or contributed to (10k+ active users): C60 AI (LLM-driven product features), Pabau (full-stack plus AI features), Lingvano, OpenTherapy, NurseIO ✅ What working with me looks like: 1. Token cost and latency projections before we build 2. Evaluation harness for retrieval accuracy and response quality 3. Model-agnostic architecture so you can swap providers 4. Guardrails against prompt injection, hallucination, and runaway costs 5. Production monitoring (cost, latency, quality) from day one 📞 Book a 30-min consultation to scope your project. Lahore-based. Fluent English. 9 years lead engineer experience before Upwork.

🚀 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀, 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗼𝗿 𝗲𝘅𝘁𝗿𝗮𝗰𝘁 𝘃𝗮𝗹𝘂𝗮𝗯𝗹𝗲 𝗱𝗮𝘁𝗮 𝗮𝘁 𝘀𝗰𝗮𝗹𝗲? Whether you're building an MVP, launching an AI product, automating operations, or integrating LLM-powered solutions, I can help turn your vision into a scalable and production-ready system. 📩 Send me a message with your project requirements, and I'll provide recommendations, architecture insights, and the best path forward to bring your idea to life. 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗱𝘂𝗿𝗶𝗻𝗴 𝗨𝗦, 𝗖𝗮𝗻𝗮𝗱𝗮, 𝗨𝗞, 𝗮𝗻𝗱 𝗼𝘃𝗲𝗿𝗹𝗮𝗽𝗽𝗶𝗻𝗴 𝘁𝗶𝗺𝗲 𝘇𝗼𝗻𝗲𝘀 𝗳𝗼𝗿 𝘀𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻. With 5+ years of experience building AI-powered products, intelligent automation systems, RAG applications, AI Agents, and scalable backend platforms, I help startups and businesses transform ideas into production-ready solutions. 𝗜 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲 𝗶𝗻: • AI Agents & Multi-Agent Systems • RAG (Retrieval-Augmented Generation) Applications • AI Chatbots & Virtual Assistants • LLM-Powered Applications • Workflow & Business Process Automation • Web Scraping & Data Extraction Solutions • Scalable Web Applications • ERP/CRM Platforms 🏆 𝗞𝗲𝘆 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀 1️⃣ Helped businesses leverage LLMs, LangChain, RAG, and AI Agents to improve productivity by up to 80% and streamline operations. 2️⃣ Built GPT-powered AI assistants that automated repetitive support tasks, reducing manual workloads by 35% while improving user experience. 3️⃣ Developed healthcare AI solutions that accelerated charting by 4x, reduced administrative costs, and improved workflow efficiency. 4️⃣ Designed web scraping and automation systems that collected, processed, and delivered large-scale business data through APIs, databases, and reporting pipelines. 5️⃣ Developed scalable AI-powered SaaS platforms, backend APIs, and automation solutions using Python, FastAPI, Django, and cloud infrastructure. For larger projects, I work with a team of experienced developers to build scalable AI applications, automation platforms, and enterprise solutions from concept to deployment. ✅ 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: • Python, Django, Flask, FastAPI • Django REST Framework (DRF) • Node.js, Express.js • GraphQL APIs • Microservices Architecture • AWS (Lambda, EC2, S3) • PostgreSQL, MySQL, MongoDB • Redis, RabbitMQ • RESTful APIs & Third-Party Integrations ✅ 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬, 𝐋𝐋𝐌 & 𝐑𝐀𝐆 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: • AI Agents & Multi-Agent Systems • Agentic Workflow Automation • Retrieval-Augmented Generation (RAG) • LangChain, LangGraph • GPT-4o, Claude, Gemini, Llama • Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS) • Semantic Search & Document Intelligence • Prompt Engineering • Function Calling & Tool Integration • AI Assistants & Copilots ✅ 𝐀𝐈 / 𝐌𝐋 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: • Machine Learning • Deep Learning • Natural Language Processing (NLP) • Sentiment Analysis • Text Classification & Summarization • PyTorch, TensorFlow ✅ 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐖𝐞𝐛 𝐒𝐜𝐫𝐚𝐩𝐢𝐧𝐠 & 𝐃𝐚𝐭𝐚 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧: • Scrapy, BeautifulSoup • Selenium, Playwright • Dynamic Website Scraping • Proxy & CAPTCHA Handling • Data Processing & Transformation • API-Based Data Integration • CSV, Excel & Google Sheets Export ✅𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: • PostgreSQL, MySQL • MongoDB, DynamoDB • Elasticsearch • Database Optimization ✅ 𝐓𝐡𝐢𝐫𝐝-𝐏𝐚𝐫𝐭𝐲 𝐀𝐏𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: • OpenAI, Claude & Gemini APIs • Stripe, PayPal, Authorize.Net, Braintree • HubSpot CRM, Zoho CRM • Meta API, LinkedIn API, X (Twitter) API • Mailchimp, SendGrid • Amazon S3, Google Cloud Storage, Dropbox • Custom REST & GraphQL APIs 🤝 𝗜’𝗺 𝗢𝗽𝗲𝗻 𝗧𝗼: • AI Agent Development • RAG & LLM Applications • Workflow Automation Solutions • AI Chatbots & Virtual Assistants • Web Scraping & Data Extraction • Python Backend & API Development • SaaS MVP Development • Enterprise AI Solutions • Legacy System Modernization ⭐ Client Feedback "Bhavya was an excellent partner as I built out the first phase of a SaaS data architecture platform." 🚀 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝘆𝗼𝘂𝗿 𝗔𝗜 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻? Whether you're building an AI Agent, RAG platform, workflow automation system, SaaS MVP, or custom AI application, I'd be happy to discuss your goals and recommend the best technical approach. 📩 Send me a message or schedule a consultation to discuss your project. I'll help you validate requirements, identify potential challenges, define the architecture. ✅𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬: AI Python Development, Python Development, Backend Python Development, Django Developer, FastAPI Developer, Backend Developer, Full Stack Developer Data Extraction and Automation, LangChain Integration, OpenAI API Integration, AI Chatbot Development, BeautifulSoup Web Scraping, Hugging Face Transformers, Selenium Automation.

Results-driven Senior ML/AI Engineer with 10+ years of experience in backend development (Golang) and machine learning systems. Proven track record in designing, developing, and deploying scalable AI/ML solutions using AWS, Kubernetes, and cloud-native microservices. Combines deep expertise in distributed systems with specialized knowledge in NLP, LLMs, and MLOps to deliver end-to-end AI products. Key Strengths AI/ML Engineering — Productionizing NLP/LLM models, RAG architectures, and high-performance ML inference Cloud-Native AI — AWS-certified architect with expertise in SageMaker, EKS, Lambda, and serverless ML Hybrid Tech Stack — Seamlessly bridges Golang microservices with Python ML core (PyTorch/TensorFlow) Full-Cycle Ownership — From research prototyping to scalable deployment and monitoring Performance Optimization — Low-latency ML systems (<100ms P99) and cost-efficient inference Technical Expertise AI/ML: NLP, LLMs (Llama 2, GPT-4), Hugging Face, PyTorch, TensorRT, LangChain Languages: Golang (Gin, gRPC), Python, SQL Cloud (AWS): SageMaker, EKS, Lambda, DynamoDB, RDS, Bedrock, Kendra MLOps: Kubeflow, MLflow, Evidently, Weights & Biases Infrastructure: Kubernetes, Docker, Terraform, Istio, Prometheus, Grafana

Sr. Full-Stack + AI Engineer | 2X AWS Certified | HealthCare expert ⭐ Worked With: Canon Medical Systems, George Washington University, NEAR Protocol - a blockchain platform for AI-native applications and Multiple SaaS Startups. 🥇 Top Rated Plus and Certified Full Stack Developer with 100% client satisfaction. 🥇 7+ years experience in 𝗝𝗮𝘃𝗮𝘀𝗰𝗿𝗶𝗽𝘁/𝗧𝘆𝗽𝗲𝘀𝗰𝗿𝗶𝗽𝘁 stack 🥇 Active on Github since 2019 (zubairaltaf10) 🔹Worked as a Full-Stack Developer on a large-scale event travel management platform where i contributed across both frontend and backend systems, helping build booking workflows, dashboards, and internal tools that handle high traffic, complex data flows, and real-world operational constraints. 🔹I worked on developing and scaling multiple LLM-powered, multi-agent AI systems for industrial and manufacturing environments. Projects included shopfloorGPT, specification and spare-parts agents, and visual quality/OCR inspection agents. 🔹Contributed as a Full-Stack Developer on a fintech comparison platform serving real users at scale. I worked on backend APIs, frontend data presentation, performance optimization, and reliability improvements. 🔹Worked on integrating advertising and analytics workflows, including Google Ads-related data flows and performance tracking. My role involved backend logic, API integrations, and frontend reporting components to help users understand and act on campaign performance data. - Frontend: React, Next.js, Tailwind - Backend: Node.js, NestJS, Python (microservices, APIs) - Data: PostgreSQL, MongoDB, Redis, Elasticsearch - AI: OpenAI, Anthropic, Gemini, RAG pipelines - Cloud: AWS (production deployments, scaling) How I work: - I focus on production-ready solutions, not throwaway prototypes - I communicate clearly and flag risks early - I write maintainable code and explain trade-offs - I’m comfortable owning features end-to-end or collaborating with teams I keep up with modern technologies and do my best to provide my clients with a valuable increment in a timely manner.