Hi 👋 I'm Vlad, AI developer with 10+ years of experience in engineering. Top Rated on Upwork, $100K+ earned, 2,900+ hours logged. Sound familiar? - Your team spends hours on tasks that could run automatically - You tried an off-the-shelf AI tool - it doesn't fit your workflow - You have a great product idea with AI at the core, but don't know where to start - Your current chatbot answers FAQs but can't actually do anything - You need AI that works with your existing data, tools, and processes - not around them If any of these sound like your situation, here's what I've built for clients in exactly that spot: 💡 AI financial assistant for WealthFluent (Fintech) - Built on Amazon Bedrock + Claude Sonnet. The assistant handles 100% of new user onboarding through conversation, explains portfolio data in plain English, and stays fully compliant with financial regulations. Zero hallucinations on numbers thanks to a hybrid AI + deterministic logic layer. 💡 AI language learning platform for Skrivanek Group (EdTech) - World's largest ISO-certified language school needed an AI-powered SaaS. We built it in 7 months: OpenAI-driven learning assistant, adaptive exercises across 30+ languages, Stripe subscriptions, full user management. Stack: Next.js, LangGraph, LangSmith, PostgreSQL. 💡 AI goal management coach (Productivity SaaS) - Personal coach PWA built in 3 months. AI breaks goals into milestones, sets reminders, tracks progress. Result: 50% faster task execution for users. 💡 AI platform for insurance brokers (InsurTech) - Modernized the UX of an AI-powered broker tool. Saved 1,500+ hours of broker time annually. Redesigned 10+ core workflows, integrated Stripe credit management and document previews. What I build: - AI chatbots that understand context (not just keywords) - AI agents that execute multi-step workflows autonomously - RAG systems that let AI answer from your company's knowledge base - Generative AI features embedded into SaaS products - AI-powered onboarding, support, and automation flows Tech stack: OpenAI, Anthropic Claude, LangChain, LangGraph, Amazon Bedrock, AWS, Next.js, React, Node.js, Python, PostgreSQL, Stripe Industries: FinTech, EdTech, InsurTech, Healthcare, Manufacturing, Logistics Every project starts with: what problem costs you time or money right now? Then we build exactly what's needed - prototype first, production-ready fast. 🏆 "They value clients and their own time. Excellent time management, understood our needs, set realistic expectations." — Arturs Peha, CSO at Skrivanek Let's talk about your project.

With nearly 10 years of hands‑on experience in deep learning and machine learning, I’m your go‑to AI expert for everything from model research to full‑stack deployment. Whether you’ve got a breakthrough idea for an AI‑driven product or need to modernize your existing systems, I’ll work with you to design, train, and productionize custom models that deliver real impact. I’ve helped startups and enterprises across healthcare, finance and manufacturing: 🚀Custom AI & ML Solutions – From medical‑image analysis and 3D point‑cloud reconstruction (NeRF, segmentation) to NLP pipelines and speech systems (ASR, TTS, multi‑role emotional voice), I translate requirements into scalable, maintainable code. 🚀Competition & Research Edge – Silver and bronze medals on Kaggle; two‑time world runner‑up in ICMI’s attention‑detection; multiple patents in medical AI and image generation; peer‑reviewed publications. 🚀Large‑Scale LLM & Agent Systems – Architected domain‑specific RAG and AI‑agent frameworks for knowledge work automation and conversational platforms. What I Offer 💡Strategic AI consulting: Roadmaps, feasibility studies, and proof‑of‑concepts 💡Custom model development: DL, ML, LLM fine‑tuning, RAG, agent design 💡3D systems: 3D reconstruction, point‑cloud segmentation, NeRF integration 💡Medical AI: Early disease detection, CBCT motion‑artifact correction, MRI/CT workflows 💡Speech & NLP: ASR, TTS, multi‑persona emotional synthesis, conversational bots 💡Technical Toolbox Python · PyTorch · TensorFlow · Keras · Transformers · MLFlow · LLMs · Embeddings · Ranking · RAG, Multi-Agent · Deep-Research · LangChain · LangGraph · LangSmith · Jupyter · Scikit-learn · LightGBM · XGBoost · CatBoost · Optuna · OpenCV · OpenPose · OpenFace · NeRF · 3D Point Cloud · 3D/4D Gaussian Splatting · MONAI · CT Analysis · ASR · TTS · Elasticsearch · Docker · Antigravity · Cursor · Claude Code ✅Augmented Development with Vibe‑Coding By mastering vibe‑coding techniques, I leverage Claude Code and Cursor to accelerate development—while they don’t replace an experienced AI engineer, their assistance helps me produce cleaner, more efficient code. Let’s turn your AI ambitions into reality. Send me a message and let’s discuss how I can help you leverage cutting‑edge AI to accelerate your business.

I build production-ready AI automation systems, Python backends, computer vision solutions, RAG knowledge assistants, and AI agents that reduce manual work, improve decision-making, and help businesses operate more efficiently. I work with startups, SaaS teams, healthcare companies, eCommerce businesses, logistics teams, and operations-heavy businesses that need reliable AI systems, not quick demos. What I build: • AI Agents & Agentic Workflows for sales, support, operations, and internal teams • RAG Knowledge Assistants for document search, internal knowledge, and business Q&A • Voice AI Agents using Vapi, Retell AI, Twilio, and ElevenLabs • AI Chatbots for customer support, lead qualification, and workflow automation • Computer Vision solutions using Python, OpenCV, OCR, image processing, and data extraction • Python Backend Systems using FastAPI, Django, Flask, APIs, databases, and cloud deployment • AI-Powered SaaS Platforms with scalable backend architecture and clean user workflows • Workflow Automation using n8n, Zapier, APIs, webhooks, CRMs, and internal tools Relevant experience: • 7+ years building AI, automation, Python, and SaaS systems • Delivered AI solutions across healthcare, eCommerce, customer support, logistics, and operations • Built AI agents, chatbots, voice agents, RAG systems, OCR/data extraction tools, and automation platforms • Strong backend experience with Python, FastAPI, Django, Flask, PostgreSQL, MongoDB, Redis, Docker, AWS, and APIs • Clear communication, strong ownership, and end-to-end delivery from planning to deployment Tools I work with: Python, FastAPI, Django, Flask, OpenAI, LangChain, LangGraph, CrewAI, React, Next.js, PostgreSQL, MongoDB, Redis, Docker, AWS, Pinecone, Firebase, Twilio, Vapi, Retell AI, ElevenLabs, OpenCV, n8n, Zapier, and Computer Vision. I focus on business outcomes, not AI demos. The systems I build are designed for real-world usage with clean workflows, reliable APIs, error handling, human handoff, logging, documentation, and scalable architecture. If you need an AI agent, computer vision system, RAG assistant, voice AI workflow, Python backend, or automation platform built properly from idea to deployment, message me and I’ll help you define the most practical path forward.

Welcome to my Upwork profile. AI Engineer building production-grade AI systems that automate real business operations. Expert in Machine Learning, Generative AI, and Large Language Model (LLM) systems, I design and deploy solutions that reduce manual work, improve response time, and scale business workflows. 🔹 CORE EXPERTISE Experienced in designing scalable, production-grade AI architectures using OpenAI APIs, LLM frameworks, and modern vector search systems. • LLM Applications (GPT-4, GPT-5, Claude, Gemini) • Agentic AI Systems (LangChain, LangGraph) • Retrieval-Augmented Generation (RAG) • Vector Databases (FAISS, Pinecone, ChromaDB) • AI Voice Agents (Twilio, Retell AI, real-time call automation) • NLP Pipelines (classification, extraction, summarization) • AI Chatbots & Conversational Systems • AI Automation Systems (n8n, Make, API workflows) • API-based AI integrations & backend systems • Hallucination mitigation & response validation • Prompt Engineering 🧠 NOTABLE AI SYSTEMS 📞 AI Lead Qualification & CRM Automation System Designed an AI-driven system to automate inbound lead handling, qualification, and CRM updates. 🔹 Solution • GPT-based lead qualification and scoring • Conversation analysis and structured data extraction • CRM integration for real-time updates • Automated routing and prioritization 🔹 Result ✔ Faster lead response time ✔ Reduced manual screening effort ✔ Improved sales workflow efficiency ━━━━━━━━━━━━━━━━━━━ ⚙️ AI Workflow Automation System (n8n + GPT) Built end-to-end automation pipelines connecting AI models with business tools and APIs. 🔹 Solution • Multi-step workflows using n8n • GPT-based decision-making and automation • Integration with email, CRM, and databases • Error handling and scalable execution logic 🔹 Result ✔ Reduced repetitive manual tasks ✔ Improved operational efficiency ✔ Enabled scalable automation ━━━━━━━━━━━━━━━━━━━ 📄 AI Data Extraction & Document Processing System Developed AI pipelines to extract, structure, and analyze data from unstructured documents. 🔹 Solution • NLP + GPT-based extraction pipelines • Classification and structuring workflows • Processing PDFs, reports, and raw text • Clean structured outputs for downstream systems 🔹 Result ✔ Converted unstructured data into usable formats ✔ Improved analytics and reporting workflows ✔ Reduced manual data processing time ━━━━━━━━━━━━━━━━━━━ 🤖 GPT Chatbots & AI Assistants Built domain-specific AI assistants for customer support and internal operations. • GPT-powered chatbot development • RAG-based knowledge grounding • Vector search + retrieval pipelines • API integrations with business systems ━━━━━━━━━━━━━━━━━━━ 🏢 Internal RAG Knowledge Systems Developed AI assistants trained on company documents and internal data. • LangChain-based RAG architecture • Vector indexing (FAISS / Pinecone / ChromaDB) • Secure document ingestion pipelines • Context-aware response systems If you're looking to build ML models, develop LLM/GPT applications, create RAG-based assistants, or automate business workflows using AI, I can help you design and deploy a scalable, production-grade solution.

I architect AI systems that actually work in production from LLM apps to real-time decision engines. If you need more than a prototype, I can help you design and scale it. As a TopTal certified AI architect (top 3% global talent) with 8+ years of experience, I specialize in designing 𝐋𝐋𝐌-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬, 𝐑𝐀𝐆 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, and 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐚𝐠𝐞𝐧𝐭𝐬 used in fintech, cybersecurity, and enterprise AI decision systems. 𝐌𝐨𝐬𝐭 𝐀𝐈 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐟𝐚𝐢𝐥 𝐛𝐞𝐜𝐚𝐮𝐬𝐞 𝐭𝐡𝐞𝐲 𝐬𝐭𝐨𝐩 𝐚𝐭 𝐝𝐞𝐦𝐨𝐬. 𝐈 𝐟𝐨𝐜𝐮𝐬 𝐨𝐧: - Turning models into scalable, reliable systems - Improving accuracy, latency, and real-world performance - Designing end-to-end AI pipelines, not isolated experiments 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐁𝐮𝐢𝐥𝐝 𝐅𝐨𝐫 𝐘𝐨𝐮: - LLM Applications (GPT, OpenAI, Claude, etc.) - RAG Pipelines (LangChain, vector DBs, semantic search) - AI Agents (multi-step reasoning, automation workflows) - Conversational AI (RASA, Dialogflow, custom NLP systems) - Predictive Models (time series, anomaly detection, trading systems) - AI for Cybersecurity (threat detection, phishing detection) 𝐑𝐞𝐚𝐥 𝐈𝐦𝐩𝐚𝐜𝐭 𝐈’𝐯𝐞 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝: - Built AI systems for cyber threat analysis and response automation - Developed algorithmic trading models using time series forecasting - Designed context-aware conversational AI systems - Improved model performance through feature engineering & optimization - Reduced false positives in ML systems with behavior-based scoring 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: - Python • PyTorch • TensorFlow • NLP (BERT, SpaCy) • Node - LangChain • RAG • FastAPI • Kafka • Redis - AWS • GCP • Kubernetes • Microservices 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞: - I understand both AI + production systems - I focus on business outcomes, not just models - I can take your idea from prototype → scalable system If you're building something where accuracy, reliability, and real-world impact matter, 𝐥𝐞𝐭'𝐬 𝐭𝐚𝐥𝐤.

I'm an independent AI engineer, consultant, and automation expert who builds and advises on production AI systems not prototypes or weekend demos. Over 5+ years I've shipped enterprise AI platforms, led a 15-18 person cross-functional AI/engineering org, and architected an operating system orchestrating 20+ autonomous agents that underpins $5M+ in enterprise deal value. I also built content-detection AI scaled to 20M+ users, ranking #2 globally on precision-recall benchmarks. Along the way: legal AI assistants, multilingual RAG, computer vision pipelines, and business automation across healthcare, legal, finance, and media clients. I take on a limited number of serious engagements at a time, working in three modes: hands-on builder when you need a system shipped, consultant/advisor when you need architecture, vendor, or AI-strategy decisions made right before money is spent, and automation expert when the ask is "get this manual process off our plate for good." As an independent contractor, you get direct access to senior judgment no account managers, no dev-shop queue. WHY CLIENTS HIRE ME ✔ Production track record systems live at scale today (20M+ users, enterprise deployments) ✔ End-to-end ownership architecture, backend, ML/LLM layer, deployment, documentation ✔ Business-outcome focused $5M+ in enterprise opportunities, 5x revenue growth, 98%+ model accuracy ✔ Direct communication, senior judgment, no middle layers ✔ Cross-domain: agentic AI, RAG, computer vision, classical ML WHAT I BUILD Agentic AI: multi-agent orchestration (20+ agents), planning/reasoning agents, tool-calling, memory, human-in-the-loop workflows. LangGraph, LangChain, DSPy. RAG: advanced/agentic RAG, multilingual RAG (100+ Arabic PDFs, OCR + hybrid search), document intelligence. Pinecone, Weaviate, Qdrant, FAISS. LLM Apps: chatbots (Web, WhatsApp, Instagram, Telegram, X), voice agents, GPT-4/5, Claude, Gemini, LLaMA integrations. ML & Computer Vision: medical imaging, deepfake detection (image/video/audio), trajectory prediction, facial recognition, forecasting. Automation: n8n, Make, Zapier, Salesforce/Google/Microsoft/WhatsApp/Slack integration, FastAPI microservices. CONSULTING & ADVISORY AI/automation strategy and roadmaps, build-vs-buy and feasibility calls, technical due diligence, LLM/vendor selection, AI readiness audits, fractional AI advisor for non-technical founders, team upskilling on RAG/agentic systems/LLMOps. AUTOMATION EXPERTISE End-to-end business process automation (ops, sales, marketing, HR, support), replacing manual workflows with AI agents, CRM/calendar/document automation, internal tools that cut hours of manual work weekly. I'll map your workflow and tell you what's worth automating and the expected ROI before writing code. MARQUEE PROJECTS - PN-OS: enterprise multi-agent OS (20+ agents), generates 120+ page reports in under 20 minutes, supported $5M+ in enterprise opportunities. - AI Content Authenticity Suite: text/image/video/audio detection + humanizer, 20M+ users, #2 globally, 5x revenue growth. - AI Legal Assistant & IP Systems: patent similarity, prior-art search, contract analysis, case-law RAG. - Arabic Advanced RAG: 100+ PDFs, OCR, hybrid semantic search. - AI Form-Filling Agent: multithreaded Selenium + Groq/LLaMA automation. - Cross-Platform Automation: LLM chatbots wired into Salesforce, WhatsApp, Google Workspace, LinkedIn outreach pipelines. TECHNICAL SKILLS Python, SQL, JavaScript/TypeScript | LangChain, LangGraph, DSPy, Hugging Face, OpenAI SDK | PyTorch, TensorFlow, Scikit-learn, XGBoost, OpenCV | Pinecone, Weaviate, Qdrant, FAISS | FastAPI, Flask, Django, Microservices | PostgreSQL, MongoDB, Redis | AWS, Azure OpenAI, GCP, Docker, CI/CD Industries: Healthcare, Legal, Finance, Media, Retail, Marketing/AdTech, Manufacturing HOW I WORK Build engagements (full-ownership systems), consulting/advisory (hourly or retainer), automation projects (scoped, fixed-price), and independent contracting direct, no agency layer. Message me with what you're working on and I'll tell you honestly if I'm the right fit. #AI Consultant #Automation Expert #Fractional AI Advisor #Agentic AI #Multi-Agent Systems #LLM Engineer #RAG #LangGraph #LangChain #DSPy #Machine Learning Engineer #Data Scientist #NLP #Computer Vision #FastAPI #Python #Business Process Automation #n8n #Make #Zapier #Enterprise AI #Azure Open AI #AWS #Vector Database #Prompt Engineering #AI Architect

I’m a software engineer focused on building reliable backend systems, automation workflows, and AI-powered solutions that actually work in production not just demos. Core Specializations: 1. Backend & AI Development -- API design/integration (FastAPI, Flask, Node.js) -- LLM integrations (OpenAI GPT, Gemini, Grok), RAG, chatbots, voice bots -- Data extraction, NLP, web scraping (Scrapy, BeautifulSoup, Apify) 2. Automation Workflows -- Business process automation (Celery, Zapier, Python scripts) -- SMS/voice automation (Twilio, Dialogflow) -- Real-time data processing and scalable services 4. Technical Stack: -- Languages/Frameworks: Python, Node.js, FastAPI, LangChain, Hugging Face -- AI Platforms: OpenAI, Gemini, Mistral, Pinecone vector DBs -- Databases: PostgreSQL, MongoDB, MySQL, DynamoDB -- Data Tools: Scrapy, Apify, Pandas, scikit-learn Let’s build production-ready AI solutions together starting with your free consult 🎯

AI Engineer building production-ready Voice AI agents, RAG chatbots, LLM apps, ML models, Computer Vision systems & AI automation systems. Low-latency, scalable, deployed end-to-end. Zero to live production - not demos. Plenty of developers can hook up an API and ship something that looks impressive in a screen recording. I build AI systems that survive real production traffic - stable integrations, clean architecture, monitoring, and reliability that holds past the first 100 users. I work with startups and founders to take AI ideas from concept to live deployment - voice AI agents, RAG chatbots, custom ML models, computer vision pipelines, AI SaaS platforms, and agentic automation workflows. My Toolkit Real-Time Voice AI LiveKit • Twilio (Voice + SIP) • Retell • Vapi • Deepgram • Whisper • ElevenLabs • WebRTC • FastAPI → AI receptionists, appointment bookers, outbound sales callers, inbound support, multilingual voice agents. Sub-second latency, interruption handling, CRM integration. RAG Systems & LLM Applications LangChain • LangGraph • LlamaIndex • Pinecone • FAISS • ChromaDB • Qdrant • Weaviate • pgvector OpenAI GPT-4 / Realtime API • Anthropic Claude • AWS Bedrock • LLaMA • Mistral • Groq • Gemini → Document chatbots, knowledge assistants, enterprise search, hybrid retrieval, hallucination mitigation. Machine Learning & Deep Learning PyTorch • TensorFlow • Scikit-learn • Hugging Face • Transformers • CNNs • RNNs • LSTMs → NLP, classification, prediction, sentiment analysis, fine-tuning (LoRA, QLoRA, PEFT). Computer Vision OpenCV • YOLO • Vision Transformers • CNN pipelines → Object detection, image classification, defect detection, OCR, real-time CV. AI Agents & Automation n8n • LangChain • LangGraph • CrewAI • AutoGen • OpenClawAI → Multi-agent systems, tool-calling agents, autonomous workflows, browser-use agents, CRM + email automation, business process orchestration. Browser Automation & Scraping Playwright • Selenium • BeautifulSoup • Scrapy Data Automation Google Sheets API • Pandas • openpyxl • gspread Backend & APIs Python (FastAPI, Flask) • Node.js • REST APIs • WebSockets • PostgreSQL • MongoDB • Redis Cloud & Deployment AWS (EC2, S3, Lambda, Bedrock) • Docker • RunPod • vLLM • CI/CD • GPU inference Why Clients Hire Me Over Cheaper Options ⚡ Working prototypes in days, production systems on realistic timelines - no shortcuts on monitoring or error handling. 🎯 Production-grade, not Jupyter-grade - every project ends with a deployed system. 💬 Response within the hour during working hours. No ghosting. 🛡️ Honest scoping - if your idea won’t work, or a cheaper approach gets you 90% there, I’ll say so before you sign. 📚 Clean handoffs - documented code, Loom walkthroughs, architecture notes. 🚀 Latency obsession - for voice AI, milliseconds decide whether users stay or leave. What Clients Say ⭐ “Bahodir was fast and responsive. Highly recommended.” - AI Agent for Language Learning project Clients consistently highlight: - Fast communication & responsiveness - Reliable execution and clean delivery - Ability to quickly turn ideas into working products - Production-ready systems instead of unfinished prototypes Industries I've Built For • Legal / Customs Built a customs clearance chatbot for the Uzbekistan government - answering complex regulatory queries that previously required in-person office visits. • Real Estate Built a Voice AI agent integrated with a custom knowledge base - handling property inquiries 24/7 and replacing manual call handling. • Education / EdTech Built an automatic crossword generation system for an education center - turning hours of manual content creation into seconds. Whether or not your industry is listed, the patterns repeat - describe the problem, I’ll map it to a system I’ve built. 💡 I Can Help You Build - Real-time voice AI agents (receptionists, bookers, sales, support) - Multi-agent AI systems with CrewAI / OpenClawAI - RAG chatbots over your documents or knowledge base - AI SaaS MVPs - full stack + deployment - Custom ML & deep learning models - Computer vision systems - Browser automation & web scraping pipelines - AI workflow automation (n8n + LLMs + your CRM) - Production LLM deployment - GPU inference, scaling, monitoring 📩 Message me with what you want to build. I’ll reply fast and tell you honestly whether I’m the right fit.

𝗦𝗲𝗻𝗶𝗼𝗿 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 — 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 | 𝟭𝟬𝟬% 𝗝𝗦𝗦 | $𝟮𝟬𝗞+ 𝗲𝗮𝗿𝗻𝗲𝗱 I build production-grade AI agents and n8n automations that cut manual back-office work by 70–90% — production systems, not demos. Top Rated on Upwork with 22 successful builds spanning agentic workflows, RAG over private data, and Claude / GPT-4 integrations. If you're looking to: • Automate multi-step business workflows with AI agents (not basic chatbots) • Build RAG systems over your internal docs, PDFs, and databases • Wire LLMs into HubSpot, Airtable , Social Networking Apps or custom CRMs via n8n • Integrate Claude / GPT-4 / open-source LLMs into your SaaS or internal tools — I'll help you scope, design, and ship a system that runs in production from day one. 🚀 What I build: • Agentic workflows with LangGraph, CrewAI, and Claude / OpenAI tool-use — multi-step decisions, not Q&A • End-to-end automations in n8n / Make / Zapier wired into HubSpot, Airtable, QuickBooks, Notion • RAG systems over 10K–500K docs using Pinecone, Weaviate, or pgvector — production-grade retrieval • Custom LLM solutions — fine-tuning (LoRA / QLoRA), prompt pipelines, evals, inference optimization • Computer Vision when projects need it — SAM, YOLO, custom CNNs (Coursera Deep Learning Specialization, NUST background) 📊 Selected client work: ▶ Agentic Claude Workflow — SaaS Business Automation ⭐⭐⭐⭐⭐ Designed and shipped a multi-agent system in LangGraph + Claude tool-use that auto-categorizes inbound requests, drafts responses, escalates edge cases, and posts to Slack — cutting the client's manual triage by ~80%. Feedback: "He has the kind of energy and quality that is rare to find." Stack: LangGraph · Claude API · Python · Slack · n8n ▶ AI Grading Bot — EdTech Platform • $5K+ contract, 210+ hours, ongoing Built an LLM-powered grading assistant that evaluates student submissions against structured rubrics, returns justified feedback, and integrates with the platform's review queue. RAG over rubrics + exemplar submissions for grading consistency. Stack: Python · OpenAI API · FastAPI · PostgreSQL · pgvector ▶ Healthcare AI — HL7 + DICOM + AWS Pipeline • ongoing Building a cloud-native medical-imaging pipeline integrating HL7 messaging, DICOM image processing, and AWS deployment for a healthcare client. Stack: Python · AWS · DICOM · HL7 · FastAPI · Docker ▶ Imbalanced-Dataset ML Pipeline — Biomedical Research ⭐⭐⭐⭐⭐ • $2.4K, 94 hours Engineered the feature-engineering + statistical-modeling pipeline that outperformed the client's recommended ML baseline. Feedback: "He just outperformed my recommended Machine Learning model with great feature engineering and analytics used. Highly Recommended!!" Stack: Python · scikit-learn · Pandas · Imbalanced-learn · Statistical Methods ▶ Surgical Video Segmentation — Deep Learning ⭐⭐⭐⭐⭐ Trained and fine-tuned a deep-learning segmentation model on surgical video data for a medical research team. Feedback: "Usama delivered excellent work on our surgical video segmentation project. Highly recommended!!" Stack: PyTorch · SAM · OpenCV · Computer Vision Range of recent work: Reinforcement Learning for Energy-Systems Optimization · GAN Networks (5★) · Image-to-SVG Pipeline (5★) · Vision-Language Document Captioning · Real-time Video Behavior Analysis · WhatsApp Bot Automation · Server-side ML/Automation Backends. 🧠 Stack: Python · LangChain · LangGraph · CrewAI · n8n · Make · Zapier · OpenAI API · Anthropic Claude · Pinecone · Weaviate · pgvector · FastAPI · Docker · AWS · GCP · PostgreSQL · PyTorch · TensorFlow · OpenCV · YOLO · SAM 💡 Why clients work with me: • Top Rated, 100% Job Success, $20K+ earned, 22 builds — 5★ across the board where feedback was given • Production systems, not demos — every project ships running code with monitoring, error handling, and a clear handoff • End-to-end ownership: architecture → build → deploy → handoff. You own the code, the keys, the data — always • NUST + Coursera Deep Learning Specialization — real ML foundations, not just LLM-API wiring 📞 Let's talk Send me a message describing the workflow you want automated or the agent you want built. I'll reply within an hour with a 30-minute architecture sketch and an honest "this fits / this doesn't" answer. First 30-min consultation is free.

✅ $300K+ Earned | Top Rated Plus | 8,000+ Hours | 38 Jobs | 100% Job Success I build production-grade LLM, RAG, and AI Agent systems. Not prototypes. Not API wrappers. Real Python pipelines, deployed on AWS, handling real traffic. If your AI needs to actually work in production, let's talk. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 LLM AND GENERATIVE AI ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ End-to-end LLM applications using OpenAI (GPT-4o), Claude, Gemini, LLaMA, and Mistral. Full RAG pipelines over your documents, databases, and knowledge bases. AI Agents and multi-agent workflows built on LangChain, LangGraph, and LlamaIndex. LLM fine-tuning with LoRA, QLoRA, PEFT, RLHF, and DPO on open-source models. Prompt engineering, tool calling, memory patterns, guardrails, tracing, and LLM evaluation harnesses. If your team is moving an LLM prototype to production, this is exactly where I work. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ FASTAPI AND DJANGO BACKENDS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FastAPI and Django are my backend stack of choice for AI-powered services. → Async REST APIs: FastAPI + Pydantic + SQLAlchemy + PostgreSQL → Scalable Django backends: DRF, Celery, Redis, multi-tenant SaaS architecture → FastAPI as the serving layer for LangChain, RAG, and agent endpoints → Auth systems: JWT, OAuth2, RBAC → Microservices, Docker, Kubernetes, CI/CD via GitHub Actions and GitLab CI → Swagger / OpenAPI documentation, clean architecture, full test coverage ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎙️ VOICE, AUDIO, VIDEO AND TEXT AI ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ → Voice AI agents and real-time speech pipelines (Whisper, AssemblyAI, Deepgram, ElevenLabs, VAPI, Retell AI) → STT / TTS integration, NLP, NER, and multimodal LLM pipelines → Computer Vision: YOLO, OpenCV, CNNs, Vision Transformers → Diffusion pipelines and image / video generation workflows → Audio transcription, classification, and processing at scale ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 ML, MLOPS AND VECTOR SEARCH ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ML Stack: PyTorch, TensorFlow, HuggingFace, scikit-learn, XGBoost Vector DBs: Pinecone, Weaviate, Milvus, FAISS, pgvector, Elasticsearch Serving: vLLM, TGI-style inference, batching, caching, routing, streaming responses MLOps: MLflow, DVC, Prefect, Ray, eval harnesses, regression testing, tracing Cloud: AWS (SageMaker, EKS, EC2, Lambda, Bedrock, DynamoDB, CloudFront), Terraform, GPU providers ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏆 WHAT MAKES ME DIFFERENT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Most AI freelancers deliver a Jupyter notebook or a thin wrapper around an API. I architect and ship the full system. I have 14+ years of engineering experience and a background as a Fractional CTO and AI/ML Team Lead. I have led teams and personally written the code. I think in systems, delivery, and cost control, not just individual features. At Alethea AI, I was part of the team that built a cloud-native architecture on AWS capable of accommodating 30 million visitors, highlighted in an official AWS case study. The platform publicly closed a $16M token sale. That is the level of production reliability I bring to every engagement. ✔ Architecture designed for scale from day one ✔ Clean code, full documentation, and production observability ✔ I write the code myself, no offshoring your project ✔ Reliable delivery: timelines, milestones, and accountability ✔ Cost-controlled cloud and GPU workloads ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤝 WHO I WORK WITH ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Startups validating AI-first MVPs fast. Scaleups moving LLM prototypes to production. Product teams that need a senior AI/ML engineer who can own the full stack, from fine-tuned model to FastAPI endpoint to deployed AWS service. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📩 Message me with your current state, timeline, and constraints. If I can help, I will tell you exactly how, usually within a few hours.