𝗕𝗿𝗶𝗱𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝗴𝗮𝗽 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗰𝘂𝘁𝘁𝗶𝗻𝗴-𝗲𝗱𝗴𝗲 𝗔𝗜 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻. If you are looking to integrate Artificial Intelligence into your business, you do not just need code, you need a strategy. You need an architecture that scales, models that perform in the wild, and a pipeline that is cost-effective. I am 𝗔𝗱𝗶𝗹 𝗔𝗳𝘇𝗮𝗹, an AI Solutions Architect and Founder of XeroAI. 𝗠𝘆 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹: 𝗧𝗵𝗲 𝗕𝗲𝘀𝘁 𝗼𝗳 𝗕𝗼𝘁𝗵 𝗪𝗼𝗿𝗹𝗱𝘀 I operate primarily as an expert freelancer and 𝗟𝗲𝗮𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁. This means when we discuss your project, you are speaking directly to the engineer designing your system, not a salesperson. I personally oversee the core AI architecture, model selection, and strategy. However, for projects that require full-stack development (Web/Mobile integration, Data Labeling, UI/UX), I bring the full support of my team at 𝗫𝗲𝗿𝗼𝗔𝗜. This allows me to offer you: 𝟭. 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗔𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 I am your Single Point of Contact (SPOC). 𝟮. 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: We can handle everything from a simple Python script to a full-scale SaaS platform. 🚀 𝗖𝗼𝗿𝗲 𝗖𝗼𝗺𝗽𝗲𝘁𝗲𝗻𝗰𝗶𝗲𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 👁️ 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 (𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝘁𝗼 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻) • 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 & 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴: YOLOv8/v10, DeepSort, and MediaPipe for real-time analytics. • 𝗘𝗱𝗴𝗲 𝗔𝗜: Deploying heavy models on lightweight devices (NVIDIA Jetson, Raspberry Pi, Mobile) using TensorRT and TF Lite. • 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 & 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴: Segmentation, Defect Detection, and OCR. 🤖 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠𝘀) • 𝗥𝗔𝗚 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Building custom chatbots that "talk" to your PDFs, SQL databases, or Notion using LangChain and Vector DBs (Pinecone, Milvus). • 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴: Customizing Llama 3, Mistral, or GPT-4 for niche industrial tasks. • 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀: Developing autonomous agents that can execute workflows and browse the web. 🗣️ 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 (𝗡𝗟𝗣) • Sentiment Analysis, Named Entity Recognition (NER), and Text Summarization. • Audio Intelligence (Whisper, TTS). 🏭 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗜𝗺𝗽𝗮𝗰𝘁 We have successfully transformed workflows in: • 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗔𝗴𝗿𝗶𝗰𝘂𝗹𝘁𝘂𝗿𝗲: Crop monitoring and disease detection. • 𝗦𝗽𝗼𝗿𝘁𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Player tracking and pose estimation. • 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲: Medical imaging diagnostics. • 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗦𝘂𝗿𝘃𝗲𝗶𝗹𝗹𝗮𝗻𝗰𝗲: Smart surveillance and anomaly detection. 🛠️ 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 • 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Python, C++, Dart (Flutter). • 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: PyTorch, TensorFlow, Keras, OpenCV, Scikit-learn. • 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Docker, AWS (SageMaker, Lambda), GCP, Streamlit, FastAPI. 𝗟𝗲𝘁’𝘀 𝗕𝘂𝗶𝗹𝗱 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲, how AI can transform your business. Visit 𝘅𝗲𝗿𝗼𝗮𝗶.𝗰𝗼𝗺 to see our work, and let’s build something extraordinary together. Click "𝗜𝗻𝘃𝗶𝘁𝗲 𝘁𝗼 𝗝𝗼𝗯" to schedule a brief consultation about your project goals.

AI agent systems that work in production, not just in demos. That's what I build, and that's what I've delivered across platforms serving 40,000+ users, 120+ businesses, and $1B+ in transactions. As an AI agent and automation systems engineer, I design and build Python-based, LLM-powered systems that automate workflows, support decision-making, and integrate into existing products and operations. My focus is on building production-ready systems that are reliable, maintainable, and ready for real-world use from day one. What I built: 1. AI agent and multi-agent systems using LangGraph, LangChain, and Claude/OpenAI APIs. 2. RAG pipelines with vector databases (Pinecone, Qdrant, ChromaDB) for document intelligence and knowledge retrieval. 3. Workflow automation and API integration connecting CRMs, SaaS tools, and internal systems into end-to-end automated pipelines. 4. AI chatbot and conversational AI platforms with real-time retrieval and structured outputs. 5. Full-stack AI platforms from database to deployment (Python, FastAPI, React, Next.js, Node.js). 6. Document processing and NLP pipelines for extraction, classification, and compliance. How I work: I start by understanding the problem and defining the system before writing code. From there, I build a working proof of concept and evolve it into a production-ready solution. I pay close attention to system design, stability, and extensibility so that what I deliver can be confidently used and owned by your team. My approach is practical and outcome-focused. I choose tools based on what best serves the system: whether that's a LangGraph state machine for agentic AI orchestration, a FastAPI microservice for backend logic, an n8n workflow for automation, or a React frontend for the user experience. I pick what fits the problem rather than following trends. Skills: AI Agent Development, AI Automation, Python, LLM Integration (OpenAI, Claude/Anthropic), RAG Systems, LangGraph, LangChain, Prompt Engineering, Vector Databases (Pinecone, Qdrant, ChromaDB), Chatbot Development, NLP, Machine Learning, API Integration, FastAPI, React, Next.js, Node.js, Supabase, AWS, Google Cloud, n8n, React Native, Generative AI, Document Processing, Data Pipelines Clients reach out when they need more than a trained model or a chatbot wrapper. They need an AI agent system that works in practice, fits into their product or workflow, and delivers measurable outcomes. If you are planning to build an AI agent, a RAG system, a workflow automation, or a production-ready AI solution, send me a message with your use case. I am happy to review your requirements and suggest the right approach before you commit.

🚀 I design and deploy AI-powered solutions and secure cloud architectures across AWS, GCP, and Azure. From LLMs and vector embeddings to full MLOps pipelines, I bring AI into production using scalable, cloud-native infrastructure. 💡 Expertise in LLM fine-tuning, generative AI, and MLOps 🔐 Skilled in DevOps, cloud security, and infrastructure as code 🧠 Experience with OpenAI, LangChain, Hugging Face, and cloud AI tools 📞 Clear communication and end-to-end project execution 💬 Let’s build intelligent, cloud-ready systems—fast and securely.

I build Machine Learning and AI-powered applications that solve real business problems. My work includes AI Agents, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Computer Vision, Natural Language Processing (NLP), OCR, predictive analytics, recommendation systems, and enterprise AI applications that are designed for production use. I've worked on projects involving AI assistants, multi-agent systems, enterprise search, document intelligence, Computer Vision, OCR, intelligent automation, recommendation engines, predictive models, and AI-powered business applications across healthcare, finance, logistics, retail, education, legal, and enterprise operations. Whether you need to build an AI product from scratch or integrate AI into an existing platform, I focus on delivering scalable, reliable solutions that create measurable business value. What I build * Machine Learning models for prediction, classification, forecasting, and recommendations * AI Agents and multi-agent systems for workflow automation * LLM-powered applications using OpenAI, Claude, Gemini, and open-source models * Retrieval-Augmented Generation (RAG) systems with enterprise knowledge bases * Computer Vision solutions including object detection, image analysis, OCR, and document intelligence * NLP applications for text analysis, information extraction, and conversational AI * AI chatbots, virtual assistants, and business automation solutions * Custom Python-based AI applications with API integrations Technologies I work with Machine Learning: Scikit-learn, TensorFlow, PyTorch, XGBoost LLMs & AI Frameworks: OpenAI, Claude, Gemini, LangChain, LangGraph, LlamaIndex, CrewAI Computer Vision: OpenCV, YOLO, OCR, Image Segmentation, Object Detection Vector Databases: Pinecone, FAISS, ChromaDB, Weaviate Backend: Python, FastAPI, Django, Flask Databases: PostgreSQL, MySQL, MongoDB, Redis Cloud & Deployment: Docker, Kubernetes, AWS, Azure, Google Cloud I believe the best AI solutions start with understanding the business objective rather than applying technology for its own sake. Every solution I build is designed to integrate with existing systems, scale with business growth, and deliver measurable results in production. Whether you're building an AI Agent, implementing a Machine Learning model, developing a Computer Vision application, or deploying an enterprise RAG solution, I'm happy to discuss your requirements and recommend the most practical approach for your project.

Presently pursuing my M.Sc. degree in Biomedical Engineering at Bangladesh University of Engineering and Technology, Bangladesh. I am currently working on biomedical signal processing and deep learning-based health informatics projects as an active member of the m-health lab. My other research interests include biomedical simulations, biomedical Instrumentation, and edge device optimization. I am pretty much proficient in python and Matlab programming.

$700K+ delivered on Upwork across 145 projects with a 100% Job Success Score. I architect and ship production AI systems, Voice AI agents handling live calls under 2-second latency, computer vision platforms processing 8M+ daily events, and full-stack products running in production for years. What I build: 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 & 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗴𝗲𝗻𝘁𝘀 Real-time voice pipelines combining speech-to-text, LLM reasoning, and natural voice synthesis. I built SloanConnect, an AI telephony platform that automates insurance verification calls end-to-end, navigates IVR systems, holds dynamic conversations with representatives, and scales to hundreds of concurrent calls. Sub-2-second response time, encrypted compliance handling, production-stable. 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗮𝘁 𝗦𝗰𝗮𝗹𝗲 Lead AI Engineer on two production CV platforms: Adlytic - privacy-safe in-store retail analytics with GDPR-compliant pipelines, heatmaps, and POS integration, and SportsEye - real-time soccer analytics from broadcast feeds with 96% accuracy across player tracking, field mapping, and tactical metrics with zero on-field hardware. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Hybrid recommendation engines on PySpark processing 8M+ daily impressions. NLP and sentiment systems wired into live dashboards. Healthcare process automation with HIPAA-aligned data handling. Models built to live in real environments, not notebooks. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗟𝗟𝗠 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 (𝗖𝗹𝗮𝘂𝗱𝗲, 𝗢𝗽𝗲𝗻𝗔𝗜, 𝗺𝘂𝗹𝘁𝗶-𝗺𝗼𝗱𝗲𝗹) End-to-end AI agents shipped to production: a Shopify + Amazon SP-API customer service agent with order lookup, refunds, returnless-refund policies, Slack/Email approval gates, and Klaviyo sync. Multi-step LLM pipelines with tool use, RAG, function calling, and human-in-the-loop checkpoints. I design these as systems, not single prompts, and I'm comfortable across Claude, OpenAI, and open-weight models depending on what fits the workload. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 Every AI product needs scaffolding that holds. I've shipped Django/Node/React/Next.js platforms that ran 3+ years in production, Alchemist Real Estate, audIT.app, and a long-running B2B SaaS that grew from MVP to hundreds of users across $195K+ in contracted development. Distributed backends, REST/GraphQL APIs, AWS-native deployment, data pipelines, and the DevOps to keep them stable. 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸 As Lead Engineering Architect, I stay hands-on through the whole lifecycle, discovery, architecture, core implementation, deployment, and the long tail. I don't hand off and disappear. Most of my Upwork work is repeat business or long contracts measured in years, not weeks. If you're building a Voice AI agent, a computer vision platform, an LLM-driven workflow, or a full-stack AI product that needs to survive real load - let's talk.

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’m a Lead AI Full-Stack Developer with hands-on experience in AI development, LLM integrations, web and mobile engineering, system architecture, and production-ready SaaS platforms for startups and enterprise teams. 𝐅𝐞𝐞𝐥 𝐟𝐫𝐞𝐞 𝐭𝐨 𝐜𝐥𝐢𝐜𝐤 “𝐌𝐞𝐬𝐬𝐚𝐠𝐞” — 𝐈’𝐥𝐥 𝐫𝐞𝐬𝐩𝐨𝐧𝐝 𝐪𝐮𝐢𝐜𝐤𝐥𝐲. 𝐎𝐫 𝐡𝐢𝐭 "𝐭𝐡𝐫𝐞𝐞 𝐝𝐨𝐭𝐬" 𝐚𝐧𝐝 𝐢𝐧𝐯𝐢𝐭𝐞 𝐦𝐞 𝐭𝐨 𝐲𝐨𝐮𝐫 𝐣𝐨𝐛 𝐬𝐨 𝐈 𝐜𝐚𝐧 𝐩𝐫𝐨𝐯𝐢𝐝𝐞 𝐚𝐧 𝐞𝐬𝐭𝐢𝐦𝐚𝐭𝐞 𝐚𝐧𝐝 𝐚 𝐜𝐥𝐞𝐚𝐫 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐩𝐥𝐚𝐧. I collaborate closely with businesses to turn ideas into intelligent, scalable, and reliable software, staying involved throughout the entire product lifecycle rather than contributing only at the implementation stage. Building scalable web applications, SaaS platforms, MVPs, admin panels, dashboards, marketplaces, CRM systems, and business automation tools for startups and growing companies. Core expertise: AI development, LLM integrations, AI agents, full-stack development, SaaS development, web app development, MVP development, REST API integration, database design, and cloud-based application architecture. My primary focus is architecting and delivering custom AI- and ML-powered solutions that optimize operations, improve decision-making, and help companies stay competitive in an increasingly AI-driven market. From integrating LLMs such as ChatGPT or Claude into existing platforms to building fully custom AI workflows from scratch, I support projects end to end — from architecture and planning to delivery and production rollout. Share your idea, and I’ll help shape a clear technical and AI roadmap to move it confidently from concept to production. Most importantly: I’m a professional developer focused on real business outcomes, not a part-time freelancer juggling Upwork alongside a full-time job or treating client work as side projects. What differentiates me in a crowded AI space? Mindset. Frameworks, libraries and programming languages can be learned — that’s expected. Real value comes from critical thinking, a systems-level perspective, and a deep understanding of how technology fits into real business and industry contexts. That level of insight isn’t built by reading documentation alone. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: 🧠 AI & Machine Learning: OpenAI (GPT-4, GPT-4o), Claude, Gemini, LangChain 🖥️ Backend Development: Python, Node.js, FastAPI, Express.js 💻 Frontend Development: React, Next.js, Vue.js, Angular 📱 Mobile Development: React Native, Flutter, Kotlin, Swift ☁️ Cloud & DevOps: AWS, GCP, Azure, Serverless Architectures 📊 Databases: PostgreSQL, MongoDB, Firebase, Vector Databases 🧰 Tools & Integrations: Docker, GitHub Actions, CI/CD, Vercel, Stripe, Contentful, Supabase 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: 💻 AI Web & Mobile Development: SaaS platforms, agent-powered dashboards, mobile AI assistants 🧠 LLM Integrations: ChatGPT, Claude, Gemini for CRMs, platforms, and internal tools 🧩 Custom AI Development: NLP, RAG, document parsing, vector search 🎨 AI UX/UI Design: Prompt workflows, assistant chat interfaces, decision-support tools ⚙️ DevOps: GPU deployments, secure cloud infrastructure, inference pipelines 📈 MVP & POC: Fast, lean experiments to validate ideas and reduce risk 📊 Tech Consulting: AI feasibility, architecture planning, stack selection, and growth strategy 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀: 🧘 Health & Wellness ⚖️ LegalTech 💳 FinTech & Finance 🏭 Industrial Sector 🚚 Transportation & Logistics 🧠 Decision Intelligence 📱 Social & Media Platforms 🛍️ Consumer & Retail Tech 🎓 EdTech & Training 🏡 Real Estate & PropTech 𝗪𝗵𝗮𝘁 𝗗𝗼 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝘆? "Pavlo is a key contributor to our extended development team. We’re very satisfied with the quality and efficiency of his work." "Pavlo has been consistently responsive and dependable throughout." 𝗛𝗮𝘃𝗲 𝗮𝗻 𝗔𝗜 𝗶𝗱𝗲𝗮 𝗶𝗻 𝗺𝗶𝗻𝗱? Feel free to reach out or book a consultation to discuss it. Keywords: AI Developer, AI Engineer, AI Full-Stack Developer, LLM Integration, AI Agents, RAG, LangChain, OpenAI, Claude, Python, Node.js, React, SaaS Development, Web App Development, API Integration.

I help businesses turn ideas into intelligent, scalable AI systems that work in the real world not just in demos. As a full‑stack AI Engineer and automation specialist, I build production‑ready solutions that combine LLMs, AI agents, RAG, no‑code workflows, and edge IoT hardware (Raspberry Pi, NVIDIA Jetson) to automate operations, enhance customer experiences, and unlock new revenue. 💡 What I Deliver to Your Project 1. End-to-end AI applications ✪ From web/SaaS frontends (React, Next.js) to AI backends (FastAPI, Supabase), plus deployment on edge devices for real‑time inferencing. ✪ Precision prompt engineering ✪ Reliable, high‑quality LLM outputs tailored to your business domain, with clear guardrails and error handling. 2. Custom AI agents & multi‑agent orchestration ✪ LangChain, Langflow, CrewAI, Agent Swarm, AutoGen, OpenClaw designing agent teams that collaborate to solve complex workflows. 3. RAG systems with your data ✪ Knowledge‑powered chatbots and assistants that pull accurate, context‑aware answers from your documents, databases, and APIs. 4. No‑code / low‑code automation ✪ Make dot com, n8n, Zapier workflows that automate CRM, support, marketing, and internal ops, then enhanced with AI decision‑making. 5. Real‑world IoT + AI deployment ✪ Embed AI agents into Raspberry Pi (GPIO, relays, NFC) and NVIDIA Jetson hardware for on‑device inference smart access control, predictive maintenance, and local‑only processing with no cloud dependency. 🚀 How I Work ✪ Solve real business problems with hybrid cloud‑edge AI that scales globally while keeping latency and costs low. ✪ Optimize for performance, security, and usability so your team and customers actually adopt the solution. ✪ Deliver measurable ROI faster workflows, reduced downtime, fewer manual tasks, and data‑driven decisions. 🧠 Core Expertise Snapshot 1. LLMs & AI platforms ✪ OpenAI, Anthropic, open‑source models (Llama, etc.), plus TensorRT and edge inference on NVIDIA hardware. 2. Agent frameworks ✪ LangChain, Langflow, CrewAI, Agent Swarm, AutoGen, OpenClaw building agentic teams that reason, plan, and act. 3. RAG & knowledge systems ✪ Pipelines that connect your docs, databases, and APIs to create context‑aware AI assistants. 4. IoT & hardware ✪ Raspberry Pi‑based controllers, NFC and relay systems, NVIDIA Jetson for real‑time AI at the edge. 5. Automation stacks ✪ Make dot com, n8n, Zapier, plus custom services for end‑to‑end workflow intelligence. 🤝 Why Clients Work With Me 6. Clear communication + fast iteration ✪ I make sure you understand what’s being built, and I adapt quickly to feedback and changing requirements. 7. Full‑stack + hardware fluency ✪ I speak both “AI” and “embedded systems,” so you don’t need to hire two separate experts. ✪ Focus on real outcomes, not code ✪ Every project is guided by KPIs: reduced cost, increased throughput, or better customer experience.

I am an Electrical Engineer. I completed my undergraduate with a 100 percent merit scholarship. With commendable academic performance, I have hands-on experience working on projects in automation, deep learning, and image processing domains. Finally, I have experience managing events and opportunities for women empowerment through the Women in Tech (WiT) Karachi chapter of Microsoft Student Partner (MSP) and Women in Science and Engineering (WiSE) club at Habib University.