I am a Senior Machine Learning Engineer with 7+ years of experience in research, model development, and cloud deployment. My work includes academic research and real-world AI systems, from designing deep learning models to deploying scalable ML pipelines on GCP, AWS, and Azure. Expertise • Research: Deep learning, computer vision, NLP, and generative AI • Development: Training and fine-tuning ML models using TensorFlow and PyTorch • Deployment: Building and scaling ML systems on GCP, AWS, and Azure with Docker, Kubernetes, and Terraform Certifications Google Cloud (2024) • Professional Machine Learning Engineer • Professional Data Engineer • Professional Cloud Architect Microsoft Azure (2021) • Azure Data Scientist Associate • Azure Fundamentals HashiCorp (2025) • Terraform Associate (003) Selected Projects • AI-Driven Document Extraction: Designed and deployed OCR pipelines using Gemini, Google Document AI, and DeepSeek (Vertex AI) to extract structured data from real estate conveyancing documents. • Reputation System API for Mindplex: Developed and deployed a reputation scoring API based on research in reputation systems, powering user trust and ranking on magazine.mindplex.ai. • Big Data Health Pipeline (GCP): Architected and orchestrated data ingestion and transformation pipelines using Dataflow, BigQuery, Cloud Run, and DBT. Integrated data from Microsoft SQL Server, CSV, Excel, and Azure Blob Storage into BigQuery. • Deep Learning Research and Deployment: Implemented and productionized deep learning models from research papers for diagnostic imaging and AI-assisted medical interpretation. Publications and Patents • Detection of Mitral and Tricuspid Regurgitation from B-mode DICOMs Using Artificial Intelligence (2024) • Reproduction of Full Echocardiographic Report Using Machine Learning from Large-scale Echocardiogram Database (2023) • Methods, Systems, Apparatuses, and Devices for Facilitating a Diagnosis of Pathologies Using a Machine Learning Model (2024), Patent • AI-Based Diagnosis of Aortic Stenosis in B-Mode Imagery: P3-16 (2024) I specialize in designing, building, and deploying production-grade AI systems with a strong foundation in both research and engineering. If you are looking for someone who can take an AI project from concept to deployment, I would be glad to collaborate.

Hello, I'm Kareem! I'm an AI Engineer specializing in Machine Learning, Deep Learning, NLP, and Computer Vision, dedicated to building scalable, data-driven solutions that drive real innovation. Whether it’s intelligent chatbots, automation, or advanced AI models, I craft solutions tailored to business needs—optimizing workflows, extracting deep insights, and enhancing efficiency with cutting-edge AI. - My Promise to you 🚀 Expert Problem Solver: From simple tasks to complex challenges, I deliver solutions that are not just functional but highly efficient and robust. 📚 Comprehensive Documentation: Receive thorough documentation covering AI models, algorithms, and architectures, ensuring you fully understand the process and outcomes. 💡 Clear Code, Clear Results: My code is clean, well-commented, and designed for maintainability, making it easy to follow and adapt. 💬 Responsive Support: Need assistance? I guarantee a same-day response, providing you with consistent support throughout the project. 🔍 Stable and Thoroughly Tested Solutions: I ensure that your solution is stable, well-tested, and handles edge cases with ease, minimizing any risk of issues. 🔄 Flexible and Agile Development: Requirement changes? No problem. I adapt swiftly, ensuring full cooperation and seamless adjustments as your project evolves. 💡 My Expertise 🔹 Core Skills ✔ Machine Learning & Deep Learning ✔ Natural Language Processing (NLP) ✔ Computer Vision & Image Processing ✔ Data Analysis & Visualization ✔ Web Scraping & Automation 🔹 Programming Languages ✔ Python | C++ 🔹 AI & ML Frameworks ✔ TensorFlow | PyTorch | Keras | Scikit-learn 🔹 Machine Learning & Deep Learning ✔ ML Models: Logistic Regression, Decision Trees, SVM, KNN, Ensemble Methods, PCA, Naive Bayes ✔ Deep Learning: CNNs, RNNs, Autoencoders, GANs, Transformers, Large Language Models (LLMs) 🔹 NLP & Chatbots ✔ Text Classification, Sentiment Analysis, Language Translation ✔ Chatbot Development (Llama 3, OpenAI) ✔ Summarization, Named Entity Recognition (NER) 🔹 Computer Vision ✔ Object Detection & Tracking | Image Classification | Image Segmentation ✔ Feature Extraction | Facial Recognition | Optical Character Recognition (OCR) 🔹 Web Scraping & Data Extraction ✔ Scrapy | BeautifulSoup | Selenium 🔹 Data Analysis & Databases ✔ Matplotlib | Seaborn | SQL Looking for an AI expert who brings expertise, professionalism, and a commitment to delivering scalable, high-impact solutions? Look no further! Contact me today to learn more about how I can help take your project to the next level.

11 years building ML systems. PhD in Deep Learning for Document Analysis. Worked with Huawei, Repsol, Kantar Media. I deliver: LLM/VLM integrations (OpenAI, Claude, Gemini APIs) Computer vision pipelines (detection, classification, OCR) Full-stack AI apps (Django, FastAPI, React) RAG systems and document processing Workflow automation and API integrations I've published in top pattern recognition conferences and shipped production systems at scale. I write clean code, communicate clearly, and hit deadlines. Recent freelance work: NLP pipelines, fake review detection, document AI. Find me in linkedin at mcarbonellnunez

Built AI trading infrastructure and automation for quant desks and trading platforms, from production data pipelines to multi-agent LLM systems. Built and now maintain a live pipeline processing 5TB+ (800B+ rows) of options trading data on BigQuery for a quant research client, delivered AI solutions for clients collectively saving 90+ hours weekly by automating knowledge work. CORE EXPERTISE: • Quantitative Data Infrastructure: petabyte-scale pipelines on BigQuery/Postgres for options • and market data, built for daily research use, not one-off scripts • Agentic AI Systems: multi-agent architectures (LangGraph), LLM-powered automation with guardrails • Production ML: supervised, unsupervised, and reinforcement learning models for real-world applications • Knowledge Grounding: RAG pipelines with vector databases and graph architectures for enhanced accuracy PAST PROJECTS: ✅ End-to-End Analytics Platform - Engineered a petabyte-scale data pipeline managing 5TB+ (800B+ rows) of options trading data on BigQuery for daily quantitative research ✅ AI Project Manager Agent - Built a multi-agent system for automated planning and coordination, reducing onboarding time for hospital facilitation from 8 to 1 hour ✅ Built a RAG retrieval pipeline (OpenAI embeddings + Pinecone + LangChain) that took a legal team's document search from hours to seconds TECHNICAL STACK: • Python (5+ years production experience) • LangChain ecosystem (LangGraph, LangSmith, LangFuse) • BigQuery, PostgreSQL, Pinecone • FastAPI, Docker, AWS/GCP • MCP servers, Guardrails, RAG, and LLM memory systems • AI-assisted development (Cursor, Claude Code) Certified: HackerRank SQL (Advanced), Mode SQL (Advanced), Google Data Analytics Professional Let's connect and explore how AI infrastructure can transform your trading operations.

🏆 🔝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 specialize in custom model training and LoRA fine-tuning for computer vision and generative imaging — and in deploying those models so they run cheaply at high volume, not just in a notebook. Flagship work — automotive imaging pipeline: A vehicle segmentation and generative background replacement system producing studio-grade output in production: 95% background fidelity with correct perspective and proximity matching Original foreground object preserved pixel-for-pixel at full source resolution Custom "glassify" handling that retains true glass properties — reflections, transparency, and tint — instead of flattening windows into opaque shapes Under one cent per image, sustained at scale through cost-reduced architecture and intelligent autoscaling Core capabilities: Custom training — LoRA fine-tuning on Flux and diffusion models, correction LoRAs with DiffSynth, masked-diffusion loss tuning Advanced segmentation — training and deploying BiRefNet, SAM, and DINO-based models for high-precision edge and material separation Deployment & scale — AWS and RunPod infrastructure built to absorb high request volumes, with queue-based batching, autoscaling, and GPU utilization tuning that keeps per-image cost flat as throughput grows LLM & agentic systems — multi-agent architectures, agentic RAG, and custom MCP servers Also delivered: a live virtual try-on feature for a clothing e-commerce site, and an AI product-listing system for eBay and Etsy. BS in Computer Science from LUMS, 5 years of production experience, team leadership background. I scope honestly and tell you when an approach won't work before you pay for it. Send me your use case and I'll tell you exactly how I'd approach it. AI/ML Engineer | Custom Model & LoRA Training, Image and Video Segmentation Expert | LoRA Training & Generative Image Pipelines | Photoreal Background Replacement | AWS Deployment

Did you know businesses lose 30–40% of productive hours to tasks that AI Agents can handle automatically 24/7, without error, without overtime? I build production-grade AI Agent systems that eliminate manual work, automate complex workflows, and integrate directly into your existing tools and operations. From LangGraph multi-agent pipelines to n8n automation and real-time voice agents — everything I deliver goes into production, not just a demo. 100% Job Success Score · Top Rated on Upwork · 10+ production deployments across real estate, healthcare, SaaS, and service businesses. ✅ What You'll Gain by Working With Me: 💰 Cut Operational Costs Replace expensive manual workflows with AI agents that scale. My systems reduce support overhead, automate lead handling, and eliminate data entry — while improving speed and accuracy across your operations. ⏱ Save Your Team Hundreds of Hours Free your team from repetitive tasks. My agents handle customer queries, document search, lead qualification, appointment booking, and CRM updates — instantly and accurately, around the clock. 📈 Scale Without Hiring AI agents operate 24/7 without fatigue. Scale your support, sales, and operations withoutincreasing headcount or overhead. 🎯 Smarter Customer Experiences Deploy always-available AI agents that give your customers real-time answers, handle inquiries, and guide them through your process — with zero wait time. 🔄 Deep Integrations, Not Just Chatbots I connect your AI agents directly to your CRM, APIs, databases, and internal tools — so everything runs seamlessly in the background without manual handoffs. 🧠 What I Build: AI Agent Systems (LangGraph) Multi-step agentic workflows with tool routing, memory, and real API integrations — far beyond simple chatbots RAG Knowledge Agents Agents trained on your documents, FAQs, and databases that retrieve accurate answers instantly Workflow Automation (n8n · Make) End-to-end pipelines connecting your tools, CRM, webhooks, and APIs with zero manual intervention Voice AI Agents (Retell AI · Vapi · Twilio) AI phone agents that answer calls, qualify leads, book appointments, and trigger follow-up actions automatically WhatsApp & Messaging Agents AI agents connected to WhatsApp Business API, Telegram, and Slack — handling inquiries, orders, and support CRM Automation (GoHighLevel · HubSpot) Smart lead routing, pipeline management, follow-up sequences, and contact syncing running automatically 🛠 Tech Stack: Agents & AI: LangGraph · LangChain · OpenAI API · RAG pipelines · Prompt Engineering Automation: n8n · Make · Zapier · Webhooks Voice: Retell AI · Vapi · Twilio · LiveKit · ElevenLabs · WebRTC Messaging: WhatsApp Business API · Telegram · Slack Backend: Python · FastAPI · Supabase · PostgreSQL CRM: GoHighLevel · HubSpot · Salesforce 📊 Results From Real Deployments: ✅ LangGraph AI Agent: Automated 7-intent WhatsApp ordering system for a restaurant client zero manual order handling ✅ Voice AI Pipeline: Built self-hosted voice agent at $0.02/min vs $0.08–$0.10/min with third-party providers — 75% cost reduction for the client ✅ RAG Knowledge Agent: Deployed on cloud platform reduced internal query resolution time by 60% ✅ Outbound Voice Agent: Built AI staffing pipeline that autonomously contacts candidates qualifies them, and updates CRM — replacing 40+ hours/week of manual outreach ✅ Computer Vision Pipeline: Real-time YOLO-based detection system deployed on edge hardware for industrial monitoring 💼 Who I Work Best With: Startups building AI-first products or MVPs SaaS companies adding LLM features to existing platforms Service businesses automating sales and support ops Agencies needing white-label AI agent builds Founders who want production systems, not prototypes 📦 What You Get: Custom AI Agent built specifically for your use case Clean, documented, production-ready code Full integration with your tools, APIs, and workflows Testing with your real data before handoff Deployment-ready — hosted or self-hosted Optional ongoing support and optimisation 🚀 Let's Build Your AI Agent System Whether you need a LangGraph agentic workflow, an n8n automation pipeline, a RAG knowledge base, or a voice AI agent — I'll design and deploy a system that delivers real, measurable business impact. 📩 Send me a message or click "Invite to Job" let's talk about what we can automate for you. AI voice agent development, AI voice agents, custom AI voice agents, AI phone agents, conversational AI, voice AI development, AI call automation, AI IVR systems, Twilio voice, Twilio IVR, Twilio automation, Retell AI, Retell AI development, Vapi AI, Vapi voice agents, LiveKit voice AI, WebRTC voice agents, real-time voice AI, AI receptionist systems, Claude Code, Claude Code automation, Claude Code AI agents, Claude Code workflows, Claude Code prompt engineering, Claude Code integrations, Claude Code API integration whatsapp bot

Hello! I'm Kazi Sohan, an analytical and skilled software engineer with over five years of professional experience. I hold a Master's degree in Information Technology from Jahangirnagar University. My career is marked by positions that have leveraged my C++, Python, and Java expertise to develop advanced AI, machine learning, and automated trading systems. My ability to innovate and deliver effective solutions has been proven through my contributions to complex projects, enhancing system performance and end-user experience. Skills: ⚫ Programming Languages: Proficient in C++, Python, Java ⚫ Expert in Algorithms and Data Structures ⚫ Specializations: Desktop Applications, Microservices, AI, Machine Learning, Computer Vision, Image Processing ⚫ Tools and Platforms: MT5, MT4, Redis, Kafka, WebSocket, REST APIs, Keras, Tensorflow, Pytorch, Numpy, Pandas ⚫ Problem Solving: Strong analytical skills with a proven track record in competitive programming ⚫ and algorithm optimization ⚫ Project Management: Experienced in leading development phases, ensuring timely delivery Professional Experience: Anyconnect: Spearheaded the development and enhancement of computer vision features, integrating AI capabilities into consumer-grade camera products, improving product performance and customer satisfaction. Next Ventures: Led the backend development for integration solutions between financial trading platforms and TradingView software, significantly enhancing data throughput and system responsiveness. Achievements: We are consistently ranked in the top tiers of national and international programming contests. Recognized for advanced problem-solving skills across various coding platforms, including Codeforces, CodeChef, and HackerRank. Publications: ⚫ Innovative methods in 3D reconstruction from 2D images using machine learning. ⚫ Improved product review classification through advanced algorithms. ⚫ Efficient real-time image classification with neural networks.

🏆 AWS Certified Generative AI Developer - Professional 🏆 AWS Certified Machine Learning – Specialty 🏆 AWS Certified Data Analytics – Specialty 🏆 Google Cloud Professional Machine Learning Engineer 🏆 Google Cloud Professional Cloud Architect I help businesses design, build, and deploy production-ready Generative AI applications powered by LLMs, AI Agents, RAG pipelines, Voice AI, and workflow automation. With 8+ years of experience in Machine Learning, NLP, Computer Vision, and Cloud AI, I specialize in transforming AI prototypes into scalable, enterprise-grade solutions running on AWS, GCP, and Kubernetes. What I Build ✅ AI Agents & Agentic Workflows * Single-Agent & Multi-Agent Systems * LangGraph Agent Development * MCP (Model Context Protocol) Integrations * Tool Calling & Function Calling Agents * Autonomous Research & Task Execution Agents * AI Workflow Automation ✅ RAG & Enterprise Search * Retrieval-Augmented Generation (RAG) * Enterprise Knowledge Assistants * Internal Documentation Chatbots * PDF, SharePoint, Confluence & Website Search * Hybrid Search (Vector + Keyword) * Agentic RAG Architectures ✅ Conversational AI & Voice AI * AI Chatbots * Customer Support Assistants * AI Voice Agents * Call Center Automation * Real-Time Speech-to-Speech Applications * Voice Ordering & Appointment Booking Systems GenAI Technologies 📍 LLMs OpenAI GPT-4o, GPT-5, Claude, Gemini, Llama, Mistral, Gemma, AWS Bedrock 📍 Agent Frameworks LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, LangSmith, LangFuse 📍 Vector Databases Pinecone, Qdrant, Weaviate, Milvus, ChromaDB, pgvector, Elasticsearch, Redis 📍 Voice AI Vapi, ElevenLabs, Deepgram, AssemblyAI, Whisper 📍 Prompt Engineering & Optimization DSPy, TextGrad, Structured Outputs, Guardrails 📍 LLM Deployment vLLM, Hugging Face TGI, TensorRT-LLM, Ray Serve, TorchServe Machine Learning & MLOps 📍 TensorFlow 📍 PyTorch 📍 Hugging Face 📍 Scikit-Learn 📍 Spark ML 📍 Forecasting & Predictive Analytics 📍 Computer Vision Solutions Cloud & Infrastructure AWS: Bedrock, SageMaker, Lambda, ECS, EKS, Textract, Comprehend, Rekognition, Transcribe, Polly, Forecast, Personalize Google Cloud: Vertex AI, Agent Builder, Gemini, Document AI, Dialogflow CX, GKE, Cloud Run, Cloud Functions Azure: Azure OpenAI, Azure ML Infrastructure: Kubernetes, Docker, CI/CD, GitHub Actions, Terraform Industries Served ✔ Retail & eCommerce ✔ Manufacturing ✔ Supply Chain & Logistics ✔ Automotive ✔ Healthcare ✔ Financial Services ✔ Customer Support Operations Whether you need an AI Agent, RAG chatbot, Voice AI solution, LLM-powered application, or a complete GenAI platform deployed on AWS/GCP, I can help take your idea from concept to production.

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. 𝐆𝐫𝐞𝐞𝐭𝐢𝐧𝐠𝐬! 𝐈 𝐚𝐦 𝐌𝐨𝐡𝐢𝐭, 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 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. 🔹 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. 🛠️ 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.