Turned 40,000 unstructured leads into $1.4M in revenue for a 50M fitness franchise by rebuilding their sales qualification system from the ground up using AI, CRM automation, and lead funnel redesign. Currently working with SAP consultancies to cut project delivery time by 40% through auditable AI workflows. Faster demos, cleaner handoffs, less manual work per engagement. Also running an active revenue-sharing engagement with a private equity firm on AI-powered lead funnel optimization — structured around outcomes, not hours. The way I work: I find where revenue is leaking, build the system that fixes it, and measure the before and after. That means CRM pipelines, AI-powered lead scoring, automated outreach sequences, and sales funnel restructuring. Not decks. Actual builds. Clients have included YC-backed startups, Stanford and NVIDIA-backed teams, and scaling businesses across the US, Europe, and the Middle East. If you have a sales or ops problem where the gap between current and target revenue is clear, that is the kind of work I take on.

I worked at largest European tech companies and YC startups. I have ML education from a top uni. I have 8+ years of ML experience. Bargain! 😉 Here's what I can do for you: - Analyze business problem and build a suitable AI solution - Quickly implement a prototype and outline a plan for future improvements - Analyze related research and conduct experiments in search of quality gains - Build solid data pipelines for continuous training and deployment - Interview ML candidates and provide mentorship for junior team members Working in large companies, I've trained large language models myself, which helps me to understand what makes an LLM tick. I worked on a web-scale RAG system at a major search engine company before this term was popular. I am a generalist, proficient with Python, but also capable with Rust, C++, Javascript. I can serve as a fractional CTO, capable both as a leader and as a highly efficient individual contributor.

𝗪𝗶𝘁𝗵 𝟳+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲, 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗰𝗹𝗲𝗮𝗻, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, 𝗮𝗻𝗱 𝗵𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝘄𝗲𝗯 𝗮𝗻𝗱 𝗺𝗼𝗯𝗶𝗹𝗲 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝗵𝗲𝗹𝗽 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗴𝗿𝗼𝘄 ,𝗳𝗿𝗼𝗺 𝗲𝗮𝗿𝗹𝘆-𝘀𝘁𝗮𝗴𝗲 𝘀𝘁𝗮𝗿𝘁𝘂𝗽𝘀 𝘁𝗼 𝗲𝘀𝘁𝗮𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀. You've spent months building a SaaS ,but without AI, you're already behind the apps launched last week. I integrate LLMs, RAG, and GPT into your web or mobile product in 1-week , turning it into something your competitors can't copy fast enough. If it doesn't perform as scoped, I rebuild it free. No risk. Just results. WHO THIS IS FOR If you're a founder, CTO, or product owner who wants to: → Add AI features (chatbots, smart search, auto-responses, predictions) to an existing SaaS → Build a new AI-powered web or mobile app from scratch → Integrate GPT-4, Claude, LLaMA, or any LLM into your product → Replace manual workflows with autonomous AI agents → Launch an AI SaaS product that users pay for , and never cancel Then you're in the right place. THE PROBLEM WITH MOST AI DEVELOPERS Most developers treat AI as a plugin. They connect an API, wrap it in a button, and call it "AI-powered." Your users aren't fooled. And your retention numbers show it. Real AI integration means: → Understanding your users' workflows deeply → Building LLM pipelines that are fast, accurate, and cost-efficient → Designing RAG systems so your app answers with YOUR data — not hallucinations → Shipping features that make users think: "How did I ever use this without AI?" That's what I build. WHAT I DELIVER ▸ AI-Powered SaaS Products Custom SaaS platforms with LLM features baked in from day one , smart dashboards, AI copilots, automated workflows, and GPT-powered user experiences that drive retention and reduce churn. ▸ LLM Integration into Existing Apps Already have a web or mobile app? I add intelligence to it , GPT-4, Claude, Mistral, or open-source LLMs wired into your existing codebase without breaking what already works. ▸ RAG Pipelines & Knowledge Bases I build Retrieval-Augmented Generation systems so your app answers questions using YOUR documents, databases, and data , not generic AI guesswork. Fast, accurate, hallucination-resistant. ▸ AI Chatbots & Autonomous Agents Custom ChatGPT-style assistants and AI agents that don't just answer , they act. Book appointments, generate reports, search databases, trigger workflows , all automatically. ▸ Voice AI & Multimodal Apps Multilingual voice interfaces, speech-to-text pipelines, and multimodal AI apps (text + image + voice) for global products and enterprise customer support systems. ▸ Full-Stack AI Web & Mobile Development End-to-end: from UI/UX design to backend architecture to cloud deployment. React, Next.js, FastAPI, Node.js ,whatever your stack, I build the full product, not just the AI layer. PROVEN RESULTS (Not Promises) → Fraud detection system: reduced client losses by 62% in 90 days → Demand forecasting model: cut e-commerce inventory costs by 30% → Anomaly detection in IoT sensors: prevented $2M+ in industrial downtime → Real-time surveillance AI: 99.5% accuracy for Fortune 500 security → Medical imaging AI: 95%+ sensitivity for skin cancer detection → 50+ AI products shipped across fintech, healthcare, e-commerce, and enterprise → Zero refunds. Zero failed productions. MY TECH STACK LLMs & AI: GPT-4, Claude, LLaMA-2, Mistral, Falcon, Cohere Frameworks: LangChain, LlamaIndex, HuggingFace, OpenCV, PyTorch, TensorFlow RAG & Vector DBs: Pinecone, FAISS, Weaviate, ElasticSearch, ChromaDB Full-Stack: React, Next.js, FastAPI, Node.js, Django, Flutter Cloud & MLOps: AWS SageMaker, GCP Vertex AI, Docker, Kubernetes, MLflow Data: Apache Kafka, Snowflake, BigQuery, Apache Spark, PostgreSQL THE OFFER (Why Hiring Me Is a No-Brainer) Here's what you get — and what you don't risk: ✔ Working prototype delivered in Week 1 — so you're testing results, not waiting on promises ✔ End-to-end ownership — I handle architecture, development, testing, and deployment ✔ Production-ready code — not "works on my machine" demos ✔ Free rebuild guarantee — if it doesn't meet the agreed scope after handoff, I fix it at no cost ✔ 50+ hours/week availability — full-time, flexible across time zones ✔ Plain-English communication — no jargon, no confusion, just clarity Your competitors are already integrating AI. Every week you wait is a week they pull further ahead. HOW WE START Simple. No long discovery calls. No complicated onboarding. Message me with what your app does (or what you want to build) I'll tell you in 24 hours exactly which AI features will have the biggest impact We scope it, agree on milestones, and I start Week 1 One conversation. That's all it takes to see how close you already are. LET'S TALK Message me now. I respond within minutes !. Najeeb ullah | AI Engineer | LLM & SaaS Developer | Top Rated | 50+ Products Shipped

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!

AI Engineer specializing in Generative AI, Large Language Models (LLMs), multi-agent systems, machine learning, and computer vision. I help companies design and build 𝗟𝗟𝗠 applications, 𝗥𝗔𝗚 knowledge systems, 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀, 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 workflows, and production-grade 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 systems using Python and modern AI frameworks. With 24+ years of experience in 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 and deep-tech software engineering, I focus on building AI systems that are 𝘀𝗲𝗰𝘂𝗿𝗲, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, and 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆. I currently lead AI engineering department at Apriorit, a software R&D company with 400+ engineers, where we develop advanced AI systems for Cybersecurity, Healthcare, and FinTech. What I Build 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ↳ Predictive analytics and ML pipelines ↳ Fraud detection and anomaly detection ↳ Recommendation systems ↳ Data processing and feature engineering pipelines 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 / 𝗟𝗟𝗠 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ↳ 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (RAG) knowledge systems ↳ 𝗟𝗟𝗠-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 and enterprise AI 𝗰𝗵𝗮𝘁𝗯𝗼𝘁𝘀 ↳ 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 and 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 for complex workflows ↳ 𝗟𝗟𝗠 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 and evaluation ↳ Private / 𝗼𝗻-𝗽𝗿𝗲𝗺𝗶𝘀𝗲 𝗟𝗟𝗠 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 for sensitive environments 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 ↳ OCR and document understanding ↳ Object detection and tracking ↳ Image classification and segmentation ↳ Medical imaging and industrial automation 𝗦𝗲𝗰𝘂𝗿𝗲 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ↳ Privacy-preserving AI architectures ↳ Adversarial ML defense ↳ AI-driven cybersecurity analysis 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 ↳ Generative AI / LLM • OpenAI, GPT-4, Llama 3, Mistral • LangChain, LlamaIndex • Hugging Face Transformers ↳ Machine Learning • Python, PyTorch, TensorFlow • Scikit-learn, Pandas ↳ Vector Search & RAG • Pinecone, Milvus, FAISS • Embeddings and semantic search ↳ Infrastructure • Docker, Kubernetes • AWS, GCP, Azure ↳ Computer Vision • OpenCV • YOLO • Vision Transformers 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗔𝗜 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀 • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 Secure RAG system enabling employees to search and interact with thousands of internal documents without data leakage. • 𝗙𝗶𝗻𝗧𝗲𝗰𝗵 𝗙𝗿𝗮𝘂𝗱 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 Real-time machine learning platform detecting fraudulent transactions across high-volume payment streams. • 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 3D medical image processing system supporting diagnostic analysis with ~95% accuracy. • 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗔𝗜 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 AI agents coordinating information retrieval, analysis, and automated task execution within enterprise systems. 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 • Security-first architecture (GDPR / HIPAA-ready) • Enterprise-grade engineering experience • Deep expertise in AI infrastructure, optimization, and system performance I focus on building AI systems that are reliable, scalable, and ready for real-world use. 𝘐𝘯𝘷𝘪𝘵𝘦 𝘮𝘦 𝘵𝘰 𝘺𝘰𝘶𝘳 𝘫𝘰𝘣 𝘧𝘰𝘳 𝘢 𝘱𝘳𝘦𝘭𝘪𝘮𝘪𝘯𝘢𝘳𝘺 𝘤𝘰𝘯𝘴𝘶𝘭𝘵𝘢𝘵𝘪𝘰𝘯 𝘵𝘰 𝘥𝘪𝘴𝘤𝘶𝘴𝘴 𝘺𝘰𝘶𝘳 𝘳𝘰𝘢𝘥𝘮𝘢𝘱 𝘢𝘯𝘥 𝘧𝘦𝘢𝘴𝘪𝘣𝘪𝘭𝘪𝘵𝘺.

Unlock the Power of AI Computer Vision & Engineering Expertise! Hello, I'm thrilled to welcome you to my Upwork profile! As an experienced professional with a profound understanding of AI computer vision and a degree in Electrical Engineering, I offer a comprehensive range of services to elevate your projects to new heights. AI Computer Vision Services: Object Detection: Leverage advanced algorithms for precise and accurate object identification, paving the way for automation and optimization in various industries. Data Annotation: Ensure your AI models are trained on high-quality, well-labeled data, enhancing their performance and delivering valuable insights. Data Cleaning: Streamline your data pipeline with meticulous data cleaning, guaranteeing reliable and trustworthy results. Face Recognition: Enhance security and user experiences with state-of-the-art face recognition technology, tailored to meet your specific needs. Text Extraction & OCR: Transform unstructured text into structured data, enabling better decision-making and operational efficiency. Edge Devices: I have expertise in using edge devices like Raspberry pi, Jetson Nano, Arduino (Opta and Portenta machine control) Engineering Expertise: Signal Processing (MATLAB): Optimize data analysis and extraction using my expertise in electrical engineering and signal processing, uncovering crucial insights from complex signals. Circuit Design & Simulations (Proteus and PSPICE): Streamline hardware projects with flawless circuit designs and simulations, saving valuable time and resources. Mathematical Modeling: Address complex challenges confidently with strong mathematical modeling skills, providing a solid foundation for data-driven decisions. Why Choose Me: Proven Expertise: With extensive experience in machine learning, deep learning algorithms, and engineering, I deliver exceptional results that set your projects apart. Custom Solutions: I tailor my services to your unique requirements, ensuring the perfect fit for your specific goals. Fast & Reliable: My proficiency in Python and MATLAB enables me to deliver swift and accurate solutions, meeting your deadlines with confidence. Client Satisfaction: Your success is my priority, and I'm committed to providing top-tier service that builds lasting partnerships. Let's embark on a journey together to revolutionize your projects with the power of AI and engineering excellence. Contact me now for a consultation, and let's bring your visions to life!

I’m a Healthcare AI Engineer and Machine Learning Engineer helping Healthcare & MedTech teams build production-ready Medical AI and Clinical AI systems for medical imaging and biomedical signal processing (ECG, EEG, PPG). My focus is not just model accuracy, but clinical validation, deployment, and real-world reliability. If your healthcare AI works in notebooks but struggles in production, I help bridge that gap. What I Help With (Common Healthcare AI Projects) ✔ Medical Imaging AI (X-ray, MRI, CT): disease detection, segmentation, screening ✔ Biomedical Signal Processing (ECG, EEG, PPG): classification, prediction, monitoring ✔ Deep Learning for Healthcare: CNNs, Transformers, time-series ML ✔ Deployment-Ready Machine Learning: FastAPI, Docker, cloud-ready inference ✔ Model Validation & Error Analysis for clinical and research use Results & Proof ✔ Built ECG-based glucose prediction system using PPG data (5★ Upwork project) ✔ Developed non-invasive blood pressure estimation model using clinical signals ✔ Delivered medical imaging deep learning models achieving 92%+ accuracy ✔ Published peer-reviewed EEG research (IJSER, 2021) in biomedical signal AI How I Typically Start Healthcare AI Projects Step 1: Data & requirement review (feasibility, risks, validation scope) Step 2: Baseline model + clinical validation plan Step 3: Production-ready AI pipeline (API, deployment, monitoring) Message me with your dataset and goal I’ll suggest a clear, low-risk roadmap for your healthcare AI project.

Building AI that doesn’t just chat, but ACTS. I am a Senior AI/ML Engineer and Full-Stack Developer with 3+ years of experience in the AI field and a background in frontend engineering. I specialize in taking complex business processes and transforming them into production-ready, autonomous AI systems that drive real value. Whether you need a sophisticated Multi-Agent Orchestration framework, a high-performance RAG pipeline, or a Real-time Generative AI application, I build scalable solutions from architecture design to cloud deployment. Why Hire Me? Production-First Mindset: I don’t just build prototypes; I ship robust ML systems, monitor their performance, and scale them in cloud environments like AWS and GCP. Full-Stack Power: My past as a Frontend Developer means I understand the entire application lifecycle — from UI/UX constraints to complex API integrations and backend architecture. Agentic Workflows: Expert in building modular multi-agent systems using LangGraph, n8n, and MCP. 🔗 Low Latency & Real-Time: Experienced in optimizing AI models for real-time interactions, including video avatars with lip-sync and low-latency streaming. Core Expertise LLM Ecosystem: OpenAI (GPT-4o/5), LLaMa-3, Claude, LangChain, LangSmith. AI Agents & RAG: Multi-agent orchestration, Knowledge Graphs (Neo4j), Vector DBs (PostgreSQL/pgvector), and data enrichment. Backend & Automation: Python (FastAPI, Flask), n8n, Pydantic, Celery, and SQL/NoSQL databases. Frontend Tools: React.js, TypeScript, Next.js, Tailwind, and Redux. ML & Data: PyTorch, Scikit-learn, OpenCV, NumPy/Pandas, and Predictive Modeling. Featured Projects Modular AI Multi-Agent System: Designed a modular workflow engine using the MCP library and FastAPI, allowing agents to autonomously retrieve and process data from PostgreSQL and S3. Real-Time AI Video Avatar: Built a generative AI avatar with precise lip-sync and low-latency rendering for live, human-like conversations. AdTech Optimization Model: Developed a predictive ML model using XGBoost to optimize bid prices, maximizing ROI for digital ad campaigns. I am looking for long-term partnerships where I can act as a technical lead or a high-impact contributor. If you have a business process that needs automation or a fuzzy idea that needs a technical architect — let’s talk. I am comfortable taking projects from scratch or jumping into existing codebases to hit your production targets. Ready to build the future of your business? Click "Invite" to start our conversation! 𝗠𝘆 𝗦𝗸𝗶𝗹𝗹𝘀𝗲𝘁: AI/ML Engineer, Generative AI Specialist, LLM Integration (OpenAI, Llama 3, Claude), AI Agents & Multi-Agent Orchestration, RAG (Retrieval-Augmented Generation), LangChain, LangSmith, MCP (Model Context Protocol), Computer Vision (CV), Real-Time Video Avatars, Lip-Sync Technology (SyncTalk, InfiniTalk), OpenCV, FFMPEG, WebRTC, Speech Synthesis (TTS/ASR), Full Stack Developer, Python (FastAPI, Flask), Node.js, Nest.js, Microservices Architecture, Docker, AWS Cloud Services, PostgreSQL, Redis, MongoDB, React.js, Redux, TypeScript, Next.js, n8n Automation, Predictive Modeling.

Need an AI agent, chatbot, or automation system that actually saves time and reduces manual work? I help businesses build AI-powered solutions using OpenAI, LangChain, Python, and modern AI tools. From intelligent chatbots and AI assistants to document processing and workflow automation, I create systems that solve real business problems. Some of the solutions I can help you with: • AI Agents for business workflows • AI Chatbots for websites, WhatsApp, and customer support • RAG-based knowledge assistants • OCR and document data extraction • AI Automation using n8n and Make • Custom GPT-powered applications • Computer Vision applications using OpenCV and YOLO • API integrations and AI-powered SaaS products My stack includes Python, OpenAI, LangChain, FastAPI, PyTorch, TensorFlow, PostgreSQL, MongoDB, Pinecone, AWS, and Docker. I focus on building reliable, scalable solutions with clean code, clear communication, and on-time delivery. Feel free to reach out and discuss your project.

I build AI systems that actually run in production, not just demos. Most clients come to me after hitting the same issues: RAG not accurate, agents unreliable, or AI pipelines that don’t scale. That’s where I step in. I’m a Senior ML and LLM Engineer (10+ years), recently working at NexGen Cloud and Holi GmbH, where I built: ☑️Enterprise AI platforms serving 100+ clients with 99.9% uptime ☑️RAG systems (multimodal, hybrid search, real-time pipelines) ☑️AI agents connected to APIs, tools, and business workflows ☑️High-performance inference systems (sub-200ms latency, cost reduced ~40%) What I can help you with: ☑️RAG Systems (LLM + Data) PDFs, databases, internal tools → accurate retrieval (LangChain, LangGraph, pgvector, Pinecone) ☑️AI Agents & Automation Multi-step workflows, tool calling, OpenClaw-style systems ☑️LLM Systems (Production Ready) OpenAI, Claude, Gemini, structured outputs, evaluation, guardrails ☑️Backend + APIs FastAPI, Django, Node, async pipelines, Redis, scalable systems ☑️Search & Recommendations Hybrid search (BM25 + vector), ranking, personalization I’ve built systems handling 1000+ ML jobs/month and real traffic I focus on accuracy + reliability, not just “AI output” I design systems your team can actually maintain 𝐐𝐮𝐢𝐜𝐤 𝐰𝐢𝐧𝐬 𝐈’𝐯𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 Improved search latency and relevance by 40% Increased recommendation quality by 35% Reduced AI infrastructure cost by up to 70% If you’re building something serious with AI and want it done properly, 𝐥𝐞𝐭’𝐬 𝐭𝐚𝐥𝐤.