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I am a research engineer focusing upon building and surpassing the latest and greatest in AI. My focus is on natural language processing (NLP) and multimodal (vision and text) AI, with a particular emphasis on large generative models. I have extensive experience working with a variety of different clients, from new startups backed by Y Combinator and AllenAI to large Fortune 500 companies. I have also provided consulting services, including to various venture capital firms and former Microsoft, AWS, and RTL Group executives hoping to build their own AI businesses. I am certified as a top 1% expert on Upwork and within the top 10% by Triplebyte. I also give talks across the industry - for example, I recently spoke on the Weaviate podcast about the current multimodal AI landscape. In terms of the models I am experienced with, I have worked with the vast majority of NLP and multimodal models as well as a significant amount of the speech and vision models available on Huggingface. I regularly build my custom model architectures to best fit client needs since while most models only really have one advancement they focus on, the clients I work with usually would benefit from the improvements from several different Huggingface models. However, I am also familiar with proprietary AI APIs, particularly that of OpenAI’s. I usually recommend those to clients who either will not see a lot of usage of their AI products for a while or those who have low maintenance costs being a top priority. Some of my favorite projects include: - Building a video summarizer taking as input a video or audio file and outputting a summary of its contents in either text or audio format. I used my own custom punctuation addition model, chunking and batching of speech inputs into 10 second increments to speed up transcription, TGlobal attention for the summarization system, and many other tricks. - Building a ChatGPT-style question answering chatbot built entirely with open-source models and tools - Creating a medical bill reimbursement system that took as input a picture of a medical bill, extracted the names of any relevant medical treatments, compared them using semantic search to reimbursable medical procedures in an insurer’s database, and automatically paid out money for all matches - Adding fine-tuning capabilities to MiniGPT-4 and other multimodal LLMs - Domain adapting CLIP on e-commerce data, reaching a 57% relative improvement in zero-shot classification after just 1 hour of training - Creating a custom training framework to train encoder-based language models using the replaced token detection (RTD) objective, including supporting weight sharing, custom generator sizes, training on multilingual datasets, adaptation of models not originally trained with RTD to be trainable using the task, etc. - Building a custom multimodal model architecture using linear attention - Reducing the size of the intent classification and NER models of an automotive company’s Alexa-style virtual assistant by 95-99% while improving accuracy - Creating the state-of-the-art ASL to English translation system back in 2021 (though I surmise this has since been dramatically improved upon since) Tech Stack: Model Development and Optimization - Huggingface, PyTorch, ONNX, Datasets, Pandas, Numpy, Scipy, SciKit-Learn, Sentence Transformers, PEFT, Accelerate, Loralib, TensorRT, Fairseq, LAVIS, TIMM, OpenNMT, TensorFlow, Jax, lots and lots of others Visualization - Matplotlib, tSNE, UMAP LLM Tools - OpenAI API (GPT-4, 3.5 turbo, Ada through davinci, etc.), Langchain, LLaMaIndex, Weaviate, Pinecone, Faiss, ScaNN Cloud - AWS (Sagemaker, EC2), GCP, Azure. I prefer to avoid cloud companies’ end to end AI services (e.g., Amazon Comprehend) since they tend to be inferior to open-source alternatives or things I can custom build, though I am open to using them if that is what you prefer!

🔸 Certified AI/ML Engineer | AI Chatbot | NLP | RAG | LLM | Generative AI 🔸 AI Developer | Python | React.js | Node.js | AI Agent & Automation 🔸 Full-Stack AI Development | AI SaaS | AI App Development 🔸 30 DAYS SUPPORT I build production ready AI systems that help businesses scale faster, automate workflows, and make smarter decisions using Artificial Intelligence, Machine Learning, and Generative AI. My work is focused on LLM applications, AI agents, RAG systems, AI chatbots, and full-stack AI development, all built with Python, FastAPI, Django, React, and Node.js. ✅ AI & ML Services I Provide: 🔹 AI Agents & Multi Agent Systems I design and develop AI Agents, Agentic AI, and multi-agent workflows to automate business processes, handle complex tasks, and improve productivity. I use LLMs, ChatGPT, GPT-4, LangChain, AutoGen, LangGraph, and OpenAI API. 🔹 Generative AI & LLM Development I build Generative AI applications, custom LLM solutions, and AI SaaS products. This includes prompt engineering, LLM fine-tuning, and NLP to deliver accurate and context-aware AI responses. 🔹 RAG (Retrieval Augmented Generation) Systems I build RAG pipelines with vector databases like Pinecone and Weaviate to deliver real-time, knowledge-driven AI applications. This ensures AI responses are factual and aligned with your proprietary data. 🔹 AI Chatbot Development & Conversational AI I create AI chatbots, virtual assistants, and conversational AI systems for customer support, lead generation, and automation using OpenAI, ChatGPT, and NLP. 🔹 Machine Learning & Deep Learning I develop ML models, deep learning models, classification, regression, time-series forecasting, and recommendation systems using scikit-learn, TensorFlow, and PyTorch. 🔹 Computer Vision & OCR I build computer vision solutions, image processing, object detection, image classification, and OCR automation using OpenCV, TensorFlow, and PyTorch. 🔹 Full-Stack AI Development & Deployment I deliver full stack AI applications with FastAPI/Django backend, React/Next.js frontend, and deploy using Docker, Kubernetes, AWS, Azure, or GCP. I also provide API integration, workflow automation, and system integration. 🔧 Tech Stack & Expertise: Languages & Frameworks: Python, FastAPI, Django, Flask, React, Next.js, Node.js AI Tools & Frameworks: OpenAI API, ChatGPT API, LangChain, LlamaIndex, Hugging Face, AutoGen, LangGraph, Pinecone, Weaviate, Crew AI AI & ML Capabilities: LLM, GPT-4, Generative AI, AI Agents, RAG, NLP, AI Chatbots, Prompt Engineering, LLM Fine-Tuning, ML Pipelines, Computer Vision, OCR Automation & Deployment: Workflow Automation, API Integration, Docker, Kubernetes, AWS, Azure, GCP Core Specialties: AI SaaS, AI App Development, Production-ready AI systems, scalable AI solutions, secure AI applications ⭐ Why Clients Choose Me ✅ Deliver production ready AI applications with clean architecture and high performance ✅ Experienced in AI SaaS development, LLM integration, RAG systems, and AI automation ✅ Strong expertise in ChatGPT, OpenAI API, LangChain, and AI Agents ✅ Proven track record in machine learning, deep learning, NLP, computer vision, and OCR ✅ Build secure, scalable, and enterprise-grade AI systems ✅ Provide 30 days of support after project completion 📩 Ready to build your AI powered solution? Send a message to discuss your project and get a tailored AI solution. I am ready to help you build AI chatbots, RAG systems, AI agents, ML models, and full-stack AI applications that drive real results. Keywords: #AIEngineer #MachineLearningEngineer #GenerativeAI #LLMEngineer #AIAgents #AgenticAI #AIAutomation #WorkflowAutomation #n8n #RAG #RetrievalAugmentedGeneration #ChatGPTDeveloper #OpenAIAPI #LangChain #LlamaIndex #VectorDatabase #Pinecone #FAISS #Weaviate #AIChatbotDevelopment #ConversationalAI #NLP #PromptEngineering #AISaaS #AIAppDevelopment #PythonDeveloper #FastAPI #BackendDeveloper #FullStackAIDeveloper #ReactJS #NodeJS #APIIntegration #AIDevelopment #CustomAISolutions #AIConsulting #AIProductDevelopment #AIStartup #IntelligentAutomation #NoCodeAutomation #LowCodeAutomation #AIWorkflow #AISystemDesign #CloudAI #ScalableAI #EnterpriseAI #AIDeployment #AIOptimization #AutomationExpert #AIIntegration #UpworkExpert

𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐋𝐋𝐌, 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 & 𝐎𝐩𝐞𝐧𝐀𝐈 𝐄𝐱𝐩𝐞𝐫𝐭 | 𝐑𝐀𝐆 & 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 | 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 | 𝐆𝐞𝐧𝐀𝐈 | 𝐏𝐲𝐭𝐡𝐨𝐧 | 𝟔+ 𝐘𝐞𝐚𝐫𝐬 𝐌𝐨𝐬𝐭 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 𝐚𝐫𝐞 𝐬𝐢𝐭𝐭𝐢𝐧𝐠 𝐨𝐧 𝐭𝐫𝐚𝐩𝐩𝐞𝐝 𝐝𝐚𝐭𝐚, 𝐬𝐥𝐨𝐰 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬, 𝐦𝐢𝐬𝐬𝐞𝐝 𝐟𝐨𝐥𝐥𝐨𝐰-𝐮𝐩𝐬, 𝐫𝐞𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐬𝐮𝐩𝐩𝐨𝐫𝐭, 𝐚𝐧𝐝 𝐦𝐚𝐧𝐮𝐚𝐥 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬. 𝐅𝐨𝐮𝐧𝐝𝐞𝐫𝐬 𝐰𝐡𝐨 𝐭𝐫𝐞𝐚𝐭 𝐀𝐈 𝐥𝐢𝐤𝐞 𝐚 𝐟𝐞𝐚𝐭𝐮𝐫𝐞 𝐰𝐢𝐥𝐥 𝐥𝐨𝐨𝐤 𝐦𝐨𝐝𝐞𝐫𝐧. 𝐅𝐨𝐮𝐧𝐝𝐞𝐫𝐬 𝐰𝐡𝐨 𝐭𝐮𝐫𝐧 𝐀𝐈 𝐢𝐧𝐭𝐨 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐬𝐩𝐞𝐞𝐝 𝐰𝐢𝐥𝐥 𝐰𝐢𝐧 𝐭𝐡𝐞 𝐦𝐚𝐫𝐤𝐞𝐭. I build the AI layer that sits between your data, tools, documents, customers, and team, then turns the messy work into clear next steps, automated actions, smarter replies, and faster decisions. That means leads get answered before they go cold, support stops repeating the same work, documents become searchable, reports stop eating hours, and your team can scale output without adding unnecessary headcount. Not another chatbot. Not another dashboard. An AI operating layer that moves the business faster. 𝟔+ 𝐲𝐞𝐚𝐫𝐬. 𝟓𝟎+ 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐢𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧. 𝐖𝐡𝐚𝐭𝐞𝐯𝐞𝐫 𝐲𝐨𝐮'𝐫𝐞 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐈'𝐯𝐞 𝐛𝐞𝐞𝐧 𝐢𝐧𝐬𝐢𝐝𝐞 𝐭𝐡𝐚𝐭 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 𝐛𝐞𝐟𝐨𝐫𝐞. 𝐌𝐲 𝐞𝐝𝐠𝐞 𝐢𝐬 𝐬𝐢𝐦𝐩𝐥𝐞: I do not build AI that only looks good in a demo. I build AI with retrieval control, structured outputs, guardrails, logging, fallback paths, and evaluation, so your system can survive real production use. 𝐈𝐟 𝐲𝐨𝐮 𝐚𝐫𝐞 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐚 𝐑𝐀𝐆 𝐬𝐲𝐬𝐭𝐞𝐦, 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭, 𝐜𝐡𝐚𝐭𝐛𝐨𝐭, 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐞𝐧𝐠𝐢𝐧𝐞, 𝐨𝐫 𝐋𝐋𝐌-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐒𝐚𝐚𝐒 𝐩𝐫𝐨𝐝𝐮𝐜𝐭, 𝐬𝐞𝐧𝐝 𝐦𝐞 𝐲𝐨𝐮𝐫 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰. I will show you where it can break and how to build it the right way. Most AI products fail after the demo because the architecture is weak: bad retrieval, hallucinations, agent loops, no fallback logic, no evaluation layer, and no cost control. That is the gap I fix. 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐛𝐮𝐢𝐥𝐝: • RAG systems with accurate, grounded answers • AI agents with controlled workflows and tool usage • AI chatbots that follow business logic, not just prompts • Document intelligence systems for legal, finance, SaaS, and operations • LLM automation pipelines connected to APIs, CRMs, databases, and internal tools • Python backends using FastAPI, Django, Flask, PostgreSQL, MongoDB, and cloud deployment 𝐀 𝐟𝐞𝐰 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐰𝐨𝐫𝐭𝐡 𝐤𝐧𝐨𝐰𝐢𝐧𝐠 𝐚𝐛𝐨𝐮𝐭: ✦ Legal RAG: 50,000+ docs, 96% accuracy, enterprise-grade security for US Law Firms. ✦ High-Scale Ops: AI pipelines processing 100K+ records/day with zero silent failures. ✦ SaaS Retention: Support AI that slashed human escalations by 65% in 4 weeks. ✦ MVP Speed: 18-day turnaround for a pitch-ready MVP that closed the deal. 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐜𝐨𝐦𝐞 𝐛𝐚𝐜𝐤 𝐚𝐧𝐝 𝐛𝐫𝐢𝐧𝐠 𝐭𝐡𝐞𝐢𝐫 𝐧𝐞𝐱𝐭 𝐩𝐫𝐨𝐣𝐞𝐜𝐭: ✔ I think about your business first, the tech second ✔ I scope honestly no inflated estimates, no surprise pivots mid-project ✔ I write code your team can actually read, maintain, and build on ✔ I communicate proactively you'll never have to chase me for an update ✔ I stay involved after launch because that's when real problems surface 𝐓𝐡𝐞 𝐑𝐞𝐚𝐥𝐢𝐭𝐲: I don’t build for your next demo; I build for your next 3 years of growth. Every line of code I ship is a liability if it isn't scalable. I provide rigorous documentation, transparent scoping, and a codebase your future CTO won't have to rewrite from scratch. I build systems that survive success, not just launch day. 🕒 Availability: 30+ hrs/week 🌎 Timezone: US Eastern (Miami-aligned) 📩 𝐋𝐞𝐭’𝐬 𝐓𝐚𝐥𝐤 Send me your project details and goals. I’ll respond within 8 hours with a clear plan, technical approach, and the right questions to move fast and avoid costly mistakes. 🔎 Core Skills & Keywords #AI #MachineLearning #GenerativeAI #ChatGPT #LLMs #RAG #LangChain #OpenAI #Claude #HuggingFace#AIChatbots #AIAutomation #FastAPI #Django #Flask #Python #MLPipelines #VectorDatabases #Pinecone #FAISS #Chroma #NLP #DeepLearning#TensorFlow #PyTorch #XGBoost #Pandas #NumPy#AWS #GCP #Azure #APIIntegration #AIEngineering #CustomAI

Hi, I`m Noor 👋 "I turn raw data into clear, actionable insights that empower better decisions and drive real results, every step of the way." I'm a Data Scientist and AI Engineer. Over the past 5+ years, I’ve worked on projects that combine data engineering, machine learning, and large language models to build intelligent, production-ready solutions. I specialize in designing end-to-end ML pipelines, developing LLM-powered applications (RAG, LangChain, Llama-2/3, OpenAI), and deploying scalable systems on Azure, Databricks, and Docker. My work often involves automating data workflows, improving prediction accuracy, and transforming complex data into clear insights. Some of my favorite projects include building an AI chatbot for e-commerce, a predictive system for event planning, and an IoT protocol translator using LLMs. I value clarity, efficiency, and collaboration and I always aim to deliver results that make a measurable impact. If you’re looking for someone who can turn your data or AI idea into a working solution, I’d be happy to help.

I m a Machine Learning Engineer and AI Automation Expert specializing in Generative AI, LLM pipelines, RAG architectures, and Computer Vision platforms deployed in production for fintech, compliance, sales automation, and developer tooling. ◆ I build LLM & RAG systems that automate complex workflows, cutting manual effort by up to 70% ◆ I deploy Computer Vision platforms that process real-time video at production scale ◆ I integrate ChatGPT, Claude & open-source LLMs into enterprise products within days, not months ◆ I design AI Agent pipelines that reduce operational costs and eliminate repetitive human tasks ◆ I deliver clean, documented, production-ready code on time, every time If your enterprise team needs to automate workflows, scale AI infrastructure, deploy real-time AI systems, or integrate LLMs into existing products, I build solutions that work in production, not just in demos. Core Expertise: ◆ Generative AI & LLMs: LangChain, LangGraph, OpenAI, ChatGPT Integration, Claude, LLaMA3, Mistral, Mixtral, Prompt Engineering ◆ RAG & NLP Engineering: Retrieval-Augmented Generation, vector search, semantic pipelines, NLP Engineer workflows ◆ Computer Vision: MediaPipe, OpenCV, BlazeFace, real-time video analysis, microexpression detection, Deep Learning ◆ AI Agents & Automation: AI Agent design, multi-agent systems, autonomous pipelines, AI Automation, AI Integration, AI Chatbot Development ◆ Vector Databases: Pinecone, Milvus, ChromaDB, FAISS, Qdrant ◆ Model Optimization: PyTorch, TensorFlow, Hugging Face, vLLM, LoRA, QLoRA, RLHF, GGUF, GPTQ, AWQ, reduce inference latency ◆ Cloud AI Infrastructure: AWS Bedrock, AWS SageMaker, GCP Vertex AI, Azure, scale AI infrastructure to production ◆ Voice & Speech AI: ElevenLabs, Deepgram, NVIDIA Riva, Amazon Polly ◆ Backend & MLOps: Python, FastAPI, Flask, PostgreSQL, MongoDB, Kafka, RabbitMQ, Docker, MLOps Selected Projects: ◆ LiarLiar.ai: Real-time AI lie detection embedded into Zoom, Google Meet & Microsoft Teams. Uses Deep Learning and computer vision to analyze microexpressions from live video feeds and flag deceptive behavior instantly, improving model accuracy to detect subtle facial movements in real time. Stack: MediaPipe · BlazeFace · OpenCV · Python · WebSocket · FastAPI ◆ FundEvolve: AI compliance engine for the fintech industry. Parses financial advice videos and cross-checks them against Canadian regulations using RAG and NLP pipelines. Helps legal review teams automate workflows and cut operational costs on manual compliance checks. Stack: RAG · Milvus · OpenAI API · Python · FastAPI · FFmpeg ◆ Castor: Enterprise sales automation AI Agent integrated with Salesforce. Pulls enriched lead data from LinkedIn, Google & ZoomInfo and generates hyper-personalized outreach emails using ChatGPT Integration, helping sales teams scale AI-driven outreach at enterprise level. Stack: LangChain · OpenAI API · Salesforce API · LinkedIn Scraper · Python · PostgreSQL ◆ Aviator: Generative AI developer productivity suite for large code repositories. Automates code review, PR summarization, and testing workflows using LLM pipelines to accelerate engineering velocity and deploy to production faster. Stack: LLMs · LangGraph · GitHub API · Python · FastAPI · Docker Industries I've worked in: Fintech · Legal AI & Compliance · Sales Automation · Developer Tools · Healthcare AI Why enterprise teams work with me: Enterprise projects need more than technical skill. They need clear communication, thorough documentation, compliance awareness, and reliable delivery. I integrate with your team and processes from day one, whether you're in fintech, legal AI, or scaling a SaaS platform. Available 40+ hrs/week. Let's scope your project.

Princeton, NJ, US-based, available for calls during US business hours. Most AI developers hand you a ChatGPT wrapper and call it a product. I build the system underneath the retrieval layer, the agent logic, and the eval pipeline. So, your AI actually works on your data, at scale, in production. I'm an AI Engineer focused on RAG systems, LLM agents, and AI-powered SaaS. I work with founders and teams who need their AI to do real work. 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱: ✅𝗥𝗔𝗚 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: Custom retrieval pipelines that ground LLMs in your private data, with proper chunking, hybrid search, and eval loops. Stack: LangChain, LlamaIndex, Pinecone, Weaviate, pgvector. ✅𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Multi-step agents that replace manual workflows, from research and outreach to internal ops. Stack: OpenAI, Claude, n8n, custom Python orchestration. Stack: Python, FastAPI, React, Postgres. ✅𝗔𝗜 𝗦𝗮𝗮𝗦 𝗠𝗩𝗣𝘀: Python, FastAPI, SaaS Development, AI App Development ✅𝗟𝗟𝗠 𝗰𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Large Language Model, GPT-4, Generative AI, Prompt Engineering 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸: I scope before I code. You get a clear architecture doc, weekly demos, and clean modular code your next engineer can pick up without a tour. Same-day response on weekdays, full overlap with US Eastern hours. If you have a half-formed AI idea, a stalled MVP, or a workflow you want autonomous, send me your scope and I'll tell you honestly whether I'm the right fit.