𝐒𝐞𝐧𝐢𝐨𝐫 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 | 𝐋𝐋𝐌𝐬 | 𝐑𝐀𝐆 | 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 I help startups and enterprises build production-ready AI applications that automate workflows, unlock business intelligence, and create exceptional user experiences. With 𝟏𝟎+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 and 𝟓+ 𝐲𝐞𝐚𝐫𝐬 𝐬𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐢𝐧𝐠 𝐢𝐧 𝐀𝐈/𝐌𝐋, I design and develop scalable AI solutions powered by 𝐋𝐋𝐌𝐬, 𝐑𝐀𝐆 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬, 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬, 𝐍𝐋𝐏, 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 ✔ Generative AI & LLM Applications ✔ AI Agents & Multi-Agent Systems ✔ Retrieval-Augmented Generation (RAG) ✔ Intelligent Document Processing (OCR + LLMs) ✔ AI-Powered Workflow Automation ✔ Conversational AI & Chatbots ✔ Semantic Search & Vector Databases ✔ Machine Learning & NLP Solutions ✔ End-to-End AI Product Development 𝐀𝐈 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐒𝐭𝐚𝐜𝐤 𝐋𝐋𝐌𝐬: OpenAI, GPT-4, Claude, Gemini, Llama 𝐀𝐈 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: LangChain, LangGraph, CrewAI, AutoGen 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: Pinecone, FAISS, Weaviate, ChromaDB 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: Python, FastAPI, Django, REST APIs 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬: AWS, Docker, CI/CD, Scalable Deployments 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐈'𝐯𝐞 𝐁𝐮𝐢𝐥𝐭 • Enterprise Knowledge Assistants using RAG and Vector Search • Multi-Agent AI Automation Platforms • Intelligent Document Processing Systems • AI Resume Screening & Candidate Matching Solutions • AI Chatbots and Customer Support Agents • Real-Time Analytics and Decision Intelligence Platforms 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐇𝐢𝐫𝐞 𝐌𝐞 ✔ AI solutions built for production, not prototypes ✔ Strong architecture and scalability expertise ✔ Fast communication and reliable delivery ✔ Business-focused approach with measurable outcomes ✔ Proven experience delivering AI products from concept to launch If you're looking for an 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐰𝐡𝐨 𝐜𝐚𝐧 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐢𝐧𝐭𝐨 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬, let's discuss your project.

🏅 Top Rated Plus | 100% Job Success | 🚀 7+ years shipping production software Your team is burning $50K–$500K a year on work AI should already be doing. I build the systems that reclaim it: I pinpoint the waste, automate it, and ship it to production. Not prototypes, not demos, real systems running 24/7. I'm an AI Developer and AI-powered Full Stack Engineer with a strong machine learning foundation, and I lead a team that takes extreme ownership of what we ship. As an AI Developer, I take projects from idea to production: AI architecture, AI agents, agentic workflows, and RAG pipelines, grounded in real machine learning rather than wrappers. As a Full Stack and Web Developer, I build the product around them in React, Node, and Python. And as an AWS architect, I deploy and harden everything with observability, security, and cost optimization, so you get an AI system that ships fast and runs reliably in production. 🐾 Pet Health Care System — AI-native OS for vet hospitals; unifies scheduling, records, billing, imaging across 6–12 tools. Targets 40% of a vet's day lost to paperwork, $50K–$100K/yr no-show losses, 8–12% of procedures never invoiced. Built with Next.js, NestJS, PostgreSQL, Python AI and deployed on AWS Architecture. 🏨 Hotelly — All-in-one hotel ops platform: CRM, billing, tasks + Apple TV (tvOS) in-room entertainment. 70–95% less manual reset effort, 50–80% faster provisioning, 60–90% less admin time. Built with React, React Native, Node.js, PostgreSQL, deployed on AWS Architecture by AI Developers. 📄 DocuPulse — AI document intelligence inside Excel for finance & compliance teams. Processing 5–10 min → under 1 sec, 94% cost reduction, 88–99% accuracy. Built with React, Node, ElasticSearch, AWS. 🪟 Fenestra — AI order intelligence turning WhatsApp/emails into error-free POs in under 60 sec across 25,000+ SKUs. Live inventory checks, accurate orders before dispatch. Built with Next.js, NestJS, PostgreSQL, LangChain, Claude. 🛒 Smart Shop AI — Ecommerce intelligence unifying Shopify, Google Ads & Meta with a conversational AI analyst. Real-time insights, anomaly alerts, campaign recommendations. Built with NestJS, React, PostgreSQL, LangChain. Developed by a team of AI Developers and AWS Architects ✅ AI Agents & Agentic AI: As an AI Developer and agentic AI developer, I design AI agents and multi-agent systems that run agentic workflows across LangGraph, CrewAI, n8n, and Zapier, designed to scale operations without adding headcount. ✅ AI Voice & AI Chatbots: I build voice AI agents and conversational AI on the OpenAI Realtime API, LiveKit, ElevenLabs, Deepgram, and Whisper, plus WhatsApp, Telegram, and web chatbots wired to real business logic. ✅ RAG & LLM Engineering: I build hallucination-resistant RAG pipelines in Python over Pinecone, Weaviate, Qdrant, ChromaDB, LanceDB, and Amazon OpenSearch, using hybrid search, re-ranking, chunking, and embeddings. Also Deployed on AWS as a scalable AWS Architecture ✅ AI Orchestration: I orchestrate LLM applications in Python with LangChain, LangGraph, and LlamaIndex, connecting the OpenAI API, Anthropic Claude (Sonnet, Opus, Haiku), AWS Bedrock, and Vertex AI through MCP servers, function calling, and structured outputs. ✅ Machine Learning & Data Science: As a machine learning engineer working alongside data scientists, I take models across the full lifecycle, from data pipelines and feature engineering to training, evaluation, and deployment. ✅ Document Intelligence: I turn documents into answers with PDF parsing, OCR, and document Q&A over knowledge bases and ERP integrations. ✅ Prompt Engineering: I engineer reliable model behavior through system prompt architecture, chain-of-thought, and prompt chaining, then harden it with prompt optimization, evals, and guardrails. ✅ Generative AI Models: I work across GPT-4o, GPT-4 Turbo, o1, and o3, Claude Sonnet, Opus, and Haiku, Gemini 1.5 and 2.0, LLaMA, Mistral, and Whisper, picking the right model for each job. ✅ Full Stack & Web Development: As a full stack developer, web developer, and Python developer, I build full stack apps with React, Next.js, TypeScript, and Tailwind CSS on the front end, and Node.js, NestJS, Express, and Python (FastAPI, Django, Flask) on the back end, including work as an AI website developer and app developer building AI web apps around real product logic. ✅ AWS Architecture & Cloud: As an AWS cloud architect and AWS solutions architect, I handle AWS architecture end to end, deploying on AWS using Lambda, EC2, ECS, EKS, Fargate, S3, RDS, Aurora, DynamoDB, SQS, SNS, EventBridge, CloudFront, API Gateway, VPC, IAM, KMS, WAF, and Secrets Manager. AWS Certified Cloud Practitioner. ✅ No-Code & Workflow Automation: As an Airtable developer, I connect tools like Airtable, n8n, Zapier, and Make into automated workflows that move data and trigger actions automatically. 📩 Send me your project brief. I'll reply within 2 hours with a concrete action plan.

EX Astrophysics Researcher Now helping companies build AI systems that stay relevant long after today’s AI models become obsolete. Six months ago, everyone wanted RAG. Then Agentic RAG. Then Knowledge Graphs. Now it's Context Engineering and a new "breakthrough" every other week. Here's the uncomfortable truth: your hardest problem isn't choosing the right AI model. It's that by the time you've hired engineers to build with it, the ground has already shifted. And even if you hire brilliant engineers… Who designs the architecture? Who decides whether you need RAG, fine-tuning, or honestly just a better-engineered context? Who makes sure what you build isn't technical debt six months from now? Who connects product, data, backend, cloud, and business strategy into one system that actually ships? Most companies don't need another freelancer. You're responsible for business outcome not for building an AI team. Even if you build a great in-house team, it eats the one thing you can't buy back: your time and focus. That's where we come in. A high-paced AI consulting partner you can rely on a 40-member team covering design, engineering, research, and deployment, built to understand your business fast and own the journey. That’s exactly where we come in: Over 6 years, I’ve led cross-functional teams of designers, product managers, AI researchers, machine learning engineers, backend developers, App developers, IOT engineers, cloud architects, and DevOps specialists to build AI systems that businesses actually depend on. Whether you’re building an AI-native product, modernising an existing platform, or automating internal operations, we become an extension of your team handling everything from product strategy and AI architecture to development, deployment, optimisation, and long-term support. So instead of managing five different vendors or trying to build an expensive in-house AI team… You get one experienced partner responsible for the outcome. Btw Im Vivekjyoti Bhowmik, a 3× AI Founder who spends every day turning cutting-edge AI research into scalable products that can fit the market to solve real business problems. Today I lead three companies: → TOINGG : an AI Communication OS cum AI first CRM that have generated $700M+ in qualified sales pipeline and still counting. → PGAGI : a 40+ member AI engineering studio in Bangalore, where we design, build, and scale production-grade AI systems for startups and enterprises worldwide. (The reason you’re reading this profile.) → BigAIRLab: our AI research lab, where we continuously evaluate the latest breakthroughs and turn promising research into practical, market-ready products. :trophy: A Few Selected Results: → $700M+ qualified sales pipeline generated through AI-powered outreach, lead qualification, and automated engagement systems. → 50,000+ users in month one and $2.5M revenue generated within two months of launch for Branify, we designed and built. → 2M+ financial signals processed daily through AIMI Brain, powering real-time AI-driven market intelligence. → 45% higher email open rates and 3× faster campaign creation with Email Love, an AI platform (40K + users) for autonomous email generation and optimisation. → 45% reduction in product returns and 3× higher customer engagement with Mirror Me, an AI-powered virtual try-on platform. → 80+ production AI systems delivered across healthcare, fintech, SaaS, manufacturing, retail, and enterprise operations. → 70%+ of the AI products we build are live, actively used by real customers, and generating measurable business value. → Production-grade AI communication infrastructure built to support high-volume voice workflows with scalable cloud architecture and enterprise reliability. → Trusted by businesses across the US, UK, GCC, Africa, Australia, and India. We're a fit if: your budget is min $5,000 as we believe in quality over quantity. Honestly we have lot of invites so choose who to work for outcomeMaxing and this is must: you have 5+ years in business and atleast $1M in revenue. How we work (and why founders like it): We don't bill hourly. Hourly billing means you pay for time and hope for results Ours is different: you only pay when you get the outcome. We sit down before anything starts and map your project using our Power Law Roadmap finding the 20% of milestones that drive 80% of your business outcome. We build those first. Simple things that scale, before clever things that don't. Every milestone comes with a defined outcome, in writing. You don't approve the milestone — and don't pay it — until that outcome is in your hands. That's not a promise; that's how our contracts are structured. As a founder myself, I'll also tell you what most vendors won't: half the ideas on your list shouldn't be built yet. We'll say so. Two ways to start: 1. Message me with what you're building one paragraph is enough.

I build production-ready AI systems (RAG pipelines, LLM applications, and multilingual NLP) that solve real problems, not just demos that break in production. I'm a PhD researcher in AI/ML with 6+ years building NLP, machine translation, and information retrieval systems, with published work in ACM, Elsevier, EACL, and FIRE. That research background means I can handle the hard problems most freelancers can't: cross-lingual retrieval, low-resource and Indic languages, speech-to-speech systems, and LLM pipelines that actually hold up. What I can build for you: ✔ RAG pipelines and LLM-powered applications (LangChain, HuggingFace, PyTorch) ✔ NLP systems: text classification, NER, sentiment analysis, transformers ✔ Multilingual & cross-lingual AI, with deep expertise in Indic languages ✔ Speech-to-text and speech-to-speech AI ✔ Search and information retrieval engines ✔ Custom ML models: supervised, unsupervised, and deep learning ✔ End-to-end AI pipelines, from prototype to deployment I communicate clearly, hit deadlines, and care about code you can actually maintain. If you have an AI/NLP problem you're not sure is even solvable, that's exactly the kind of project I like. Send me a message and let's scope it.

I take on AI projects that others find too complex — end-to-end systems where the challenge isn't just the model, but making everything work together at scale. If the problem is hard, that's where I do my best work. Over the years I have architected and delivered full-cycle AI systems covering deep learning, LLMs, computer vision, NLP, MLOps infrastructure, and cloud-native deployments. I don't just build models — I build systems that work reliably at scale. I am the right fit if your project involves a complex AI system that needs to be built right, not just fast, multiple moving parts such as data pipelines, model training, APIs, and deployment that need to work together seamlessly, a challenging problem where off-the-shelf solutions fall short, or long-term thinking around performance, cost, and maintainability. My core expertise spans deep learning and LLMs including transformer models, BERT/GPT fine-tuning, and RAG pipelines using PyTorch, TensorFlow, and JAX. I work extensively in computer vision with YOLO, R-CNN, and Vision Transformers, as well as NLP, semantic search, and conversational AI powered by vector databases like Pinecone and Milvus. On the infrastructure side, I build end-to-end MLOps pipelines using Kubeflow, MLflow, and DVC, with CI/CD for models via GitHub Actions and GitLab, and monitoring through Prometheus and Grafana. I deploy across AWS SageMaker, Azure ML, and Google Vertex AI using Docker and Kubernetes, with a strong focus on cost-optimized GPU and TPU workloads. I also have deep experience in data engineering with ETL pipelines, feature stores, real-time streaming using Spark and Flink, and warehousing on Snowflake and BigQuery. For AI-powered APIs and SaaS products, I work with FastAPI, Node.js, Redis, PostgreSQL, and MongoDB. Additional expertise includes reinforcement learning, diffusion models, GANs, federated learning, model quantization, edge AI with TensorFlow Lite and CoreML, and AI explainability using SHAP and LIME. I bring strong communication, clean documentation, and a consistent track record of delivering complex AI projects on time. If you have a challenging end-to-end AI project, I would love to hear about it.

Certified AI/ML & Data Engineering expert with proven success in deploying YOLO-based Computer Vision, GenAI Chatbots, BigQuery Data Lakes, and ETL Pipelines. I build intelligent, scalable systems that turn raw data into real-time insights for elite sports teams and businesses. Over the years, I’ve worked with international sports organizations and enterprises like Barclay's, Citigroup, Standard Life Insurance, American Express etc to turn raw data into actionable insights, deploying full-stack solutions that span data ingestion, model training, and visualization. Key Skills & Technologies: Python, YOLO, OpenCV, LLMs, BigQuery, Looker, Data Lake, Data Warehousing, ETL Pipelines, Data Migration, Analytics Dashboards Some Highlights of my work: ** AI-Powered Computer Vision Analytics using YOLO and deep learning to track players and events in football match videos ** LLM-Powered Search & Chatbot Application designed for a football club to make internal knowledge searchable and conversational ** Smart Budget Tracking Solution using Looker and BigQuery for real-time, interactive data visualizations ** Performance Data Lake and Data Warehouse architecture for an international cricket board to centralize and analyze player and match data ** Scouting Application for a professional football club, integrating machine learning models and custom analytics dashboards to support recruitment and decision-making How Can I Help You? ** I specialize in building end-to-end data and AI solutions tailored to your business goals. Here’s how I can help: ** AI & Machine Learning Solutions – From model development to deployment using YOLO, LLMs, and custom ML pipelines ** Computer Vision Systems – Object detection, tracking, and video analytics for sports, security, and manufacturing ** Generative AI Apps – Chatbots and knowledge assistants powered by LLMs, fine-tuned for your domain ** Modern Data Engineering – Scalable Data Lakes, Data Warehouses (BigQuery, Snowflake), and real-time ETL pipelines ** Data Migration & Integration – Clean and reliable data movement between systems ** Business Intelligence & Dashboards – Interactive visualizations using Looker and BigQuery for smarter decisions Whether you're a startup, enterprise, or sports organization, I can deliver reliable, production-grade solutions that turn data into impact. Let’s connect if you're ready to leverage AI and data engineering to elevate your business and If you need professional who will treat your task as most important thing, and you need the task done in timely manner with expertise and utilizing best practices.

Senior AI Engineer specializing in production AI/ML systems, multi-agent architectures, and LLM applications that drive measurable ROI. Delivered AI solutions for 35 clients, collectively saving 90+ hours weekly by automating knowledge work and freeing up time for high-value growth activities. CORE EXPERTISE: • Production ML Systems: Architecting supervised, unsupervised, and reinforcement learning models for real-world applications. • Generative AI & LLM Solutions: Building reliable agentic systems with advanced prompting, fine-tuning, and guardrails • Knowledge Grounding: Implementing RAG pipelines with vector databases and graph architectures for enhanced accuracy • Data Infrastructure: Designing scalable database solutions (relational & vector) optimized for AI workloads PAST PROJECTS: ✅ AI Project Manager Agent - Built multi-agent system capable of automated project planning and coordination, reducing onboarding time for hospital facilitation from 8 to 1 hour ✅ End-to-End Analytics Platform - Engineered petabyte-scale data pipeline managing 5TB+ (800B+ rows) of options trading data on BigQuery for daily quantitative research ✅ n8n AI Video Ad Generator - Developed automation pipeline integrating Google Veo3, enabling overnight bulk creation of video ads, completely eliminating manual production TECHNICAL STACK: • Python (5+ years production experience) • LangChain ecosystem (LangGraph, LangSmith, LangFuse) • Multi-agent architectures • MCP servers, Guardrails, RAG, and LLM memory systems • AI-assisted development (Cursor, Claude Code) • n8n workflow automation Let's connect and explore how AI can transform your operations.

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

Most teams don't need more AI ideas. They need AI that actually works in production, integrated into their existing tools, automated end-to-end, and built to survive real data and real users. I'm Ali Dabouei (PhD), a full-stack AI engineer based in Vienna, VA. I own the entire delivery: model design, pipeline architecture, backend/frontend development, API integrations, automation workflows, and cloud or on-prem deployment. One person, full accountability, prototype to production. What I build: Agentic AI · RAG pipelines · Voice AI agents · Computer vision · OCR & Document AI · Generative AI · AI automation & API integrations Recent work: • Logistics OCR platform: 10,000+ invoices/week at 98%+ accuracy, with automated auditing and billing discrepancy detection • Agentic legal framework: native legal CRM integration automating 60%+ of routine legal tasks, no Zapier or n8n • Voice AI agents: deployed across healthcare scheduling, B2B sales qualification, real estate lead follow-up, and 24/7 restaurant order handling, all with full CRM, calendar, and operations dashboard integration. • RAG assistants: on-prem document analysis, e-commerce support across chat/email/social, and adaptive tutoring • Sports video analytics: YOLO + SAM pipeline extracting player tracking and tactical metrics from raw game footage Tech stack: Python · FastAPI · LangGraph/LangChain · React · Next.js · PostgreSQL · AWS · Twilio · ElevenLabs · Deepgram · Pinecone · Weaviate · PaddleOCR · PyTorch · OpenCV · YOLO · Amazon Bedrock · Google Gemini · REST APIs My background is research-heavy (PhD WVU, postdoc CMU, 30+ publications) but my style is practical: fast prototype → tight feedback loop → rigorous stress-testing before launch. I build automations natively, integrate directly with your APIs and CRMs, and have on-prem deployment experience for security-sensitive environments (legal, healthcare, finance). Typically, I start with a short discovery call or scoped paid milestone to validate the approach before committing to a full build.

𝐒𝐭𝐫𝐮𝐠𝐠𝐥𝐢𝐧𝐠 to turn 𝐀𝐈 𝐢𝐝𝐞𝐚𝐬 into a 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐩𝐫𝐨𝐝𝐮𝐜𝐭, 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦 OR 𝐋𝐋𝐌 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐭𝐡𝐚𝐭 𝐰𝐨𝐫𝐤𝐬 𝐢𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧? I help startups, SaaS teams and growing businesses build scalable, production ready AI systems using LLMs, RAG, AI Agents, GenAI, NLP, automation, vector databases and scalable backend architecture 🥇I am an 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 𝟕+ 𝐲𝐞𝐚𝐫𝐬 of experience, 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬, 𝐑𝐢𝐬𝐢𝐧𝐠 𝐓𝐚𝐥𝐞𝐧𝐭 status, and $𝟐𝟎𝐊+ earned on Upwork. I build AI that goes beyond demos: systems with APIs, databases, monitoring, guardrails, fallback logic, cloud deployment and real users ──────────────── 𝐖𝐇𝐀𝐓 𝐈 𝐁𝐔𝐈𝐋𝐃 𝐅𝐎𝐑 𝐘𝐎𝐔: 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 • AI agents that connect to your tools, APIs, CRMs, databases, calendars, emails, Slack, dashboards and internal workflows • Automations for lead qualification, customer support, reporting, document processing, research, operations and decision support • Agentic workflows using LangChain, LangGraph, tool/function calling, structured outputs, memory, human approval and guardrails 𝐋𝐋𝐌 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬, 𝐑𝐀𝐆 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 • Custom chatbots and assistants trained on documents, websites, SOPs, support tickets, PDFs, databases or knowledge bases • RAG pipelines with embeddings, semantic search, reranking, citations, metadata filters, access control and answer quality checks • Vector database integration with Pinecone, FAISS, Chroma, pgvector, Weaviate or Azure AI Search 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐒𝐚𝐚𝐒 & 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐬 • Complete AI products using Python, FastAPI, Node.js, React, Next.js, TypeScript, PostgreSQL, MongoDB, Redis,and cloud services • Multi-tenant dashboards, subscription flows, admin panels, user roles, analytics, usage tracking and secure API layers • AI features integrated into existing SaaS platforms without breaking your current workflow 𝐌𝐋, 𝐍𝐋𝐏 & 𝐃𝐚𝐭𝐚 𝐃𝐫𝐢𝐯𝐞𝐧 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 • NLP pipelines for classification, extraction, summarization, sentiment analysis, transcription, translation and text intelligence • ML workflows from data preparation to model training, evaluation, deployment, inference APIs and monitoring • Real time AI systems using WebSockets, streaming APIs, Whisper/STT, LLM APIs and event driven backends 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 & 𝐀𝐈 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 • Cloud deployment on AWS, GCP, Azure, DigitalOcean, Docker, CI/CD, serverless and containerized backends • Logging, error handling, rate limits, retries, cost optimization, prompt/version control and observability • Practical architecture decisions so your AI system is maintainable, scalable and cost effective ──────────────── 𝐑𝐄𝐀𝐋 𝐏𝐑𝐎𝐃𝐔𝐂𝐓 𝐄𝐗𝐏𝐄𝐑𝐈𝐄𝐍𝐂𝐄 • Built production AI/backend systems handling 𝟏𝐌+ 𝐦𝐨𝐧𝐭𝐡𝐥𝐲 𝐫𝐞𝐪𝐮𝐞𝐬𝐭𝐬 with scalable APIs, cloud deployment and monitoring • Worked on real time AI transcription and translation workflows using FastAPI, WebSockets, Whisper/STT, LLMs and AWS • Built AI assisted hiring and matching workflows that reduced manual screening and improved candidate job matching • Developed marketplace, healthcare and SaaS platforms with RBAC, secure APIs, dashboards, automation and data heavy workflows 𝐖𝐇𝐘 𝐂𝐋𝐈𝐄𝐍𝐓𝐒 𝐖𝐎𝐑𝐊 𝐖𝐈𝐓𝐇 𝐌𝐄 ✔ I think in business outcomes, not just tools ✔ I own backend, AI, data, frontend, and deployment in one place ✔ I build systems that survive real users, edge cases, and scale ✔ I communicate clearly with updates, screenshots, videos, and next steps ✔ I focus on reliable delivery, not AI hype ─────── 𝐓𝐄𝐂𝐇 𝐒𝐓𝐀𝐂𝐊 𝐀𝐈/𝐋𝐋𝐌𝐬: OpenAI, Claude, Gemini, LLaMA, Mistral, Hugging Face, LangChain, LangGraph, LlamaIndex, CrewAI, Mastra, prompt engineering, AI agents, RAG, embeddings 𝐕𝐞𝐜𝐭𝐨𝐫 𝐒𝐞𝐚𝐫𝐜𝐡: Pinecone, FAISS, Chroma, pgvector, Weaviate, Azure AI Search, semantic search, reranking 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: Python, FastAPI, Django, Flask, Node.js, NestJS, Express.js, REST APIs, GraphQL, WebSockets, microservices 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝: React, Next.js, TypeScript, JavaScript, Tailwind CSS, dashboards, SaaS interfaces 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch 𝐂𝐥𝐨𝐮𝐝/𝐃𝐞𝐯𝐎𝐩𝐬: AWS, GCP, Azure, Docker, Kubernetes, GitHub Actions, CI/CD, monitoring, logging ━━━━━━━━━━━━━━━━━━━━ 𝐂𝐋𝐈𝐄𝐍𝐓 𝐅𝐄𝐄𝐃𝐁𝐀𝐂𝐊 "Hassan is fantastic! He responded promptly, provided regular updates with screenshots and videos, and delivered excellent work. Skilled, reliable and affordable - great hire for any AI needs!" ⭐⭐⭐⭐⭐ * Adeem W 𝐋𝐄𝐓'𝐒 𝐁𝐔𝐈𝐋𝐃 𝐘𝐎𝐔𝐑 𝐀𝐈 𝐒𝐎𝐋𝐔𝐓𝐈𝐎𝐍 AI chatbot, RAG system, AI agent, automation workflow, AI SaaS product, LLM integration, NLP pipeline, or production AI backend, send me a message I will help you map best approach, identify risks early and build a system that deliver real business value