⭐⭐⭐ 𝐓𝐨𝐩-𝐑𝐚𝐭𝐞𝐝 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 | 𝟓+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝑨𝑰 & 𝑫𝒂𝒕𝒂 𝑺𝒄𝒊𝒆𝒏𝒄𝒆 ⭐⭐⭐ Hi there! I’m 𝐈𝐦𝐚𝐚𝐝 𝐔𝐥𝐥𝐚𝐡, a 𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 with a 𝐌𝐚𝐬𝐭𝐞𝐫’𝐬 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 and 𝐨𝐯𝐞𝐫 𝟓 𝐲𝐞𝐚𝐫𝐬 of 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 delivering 𝐡𝐢𝐠𝐡-𝐢𝐦𝐩𝐚𝐜𝐭 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬. I specialize in 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏), 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧, 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞, helping businesses 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 raw data to 𝐮𝐧𝐥𝐨𝐜𝐤 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 and 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 and 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐭𝐚𝐬𝐤𝐬 using 𝐀𝐈. ⦿ 🚀 𝑾𝒉𝒂𝒕 𝑰 𝑶𝒇𝒇𝒆𝒓? » 🤖 𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 ✅– From data preprocessing to deployment. » 🧠 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐍𝐋𝐏 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 ✅– Chatbots, text analysis, image recognition, and more. » 📊 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 & 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 ✅– Turn raw data into business intelligence. » 🐍 𝐂𝐮𝐬𝐭𝐨𝐦 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ✅– Automated scripts, data pipelines, and AI integrations. » 📈 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 ✅– Present complex data clearly and thoughtfully. ⦿ 🛠 𝑲𝒆𝒚 𝑬𝒙𝒑𝒆𝒓𝒕𝒊𝒔𝒆: » 🤖 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐀𝐈: Predictive Modeling, Deep Learning, Regression, Classification, Time Series » 📝 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏) – Chatbots, Text Analysis, Sentiment Analysis, LLMs » 🖼️ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 – Image Recognition and Classification, Object Detection, OCR » 📊 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 – Forecasting, Anamoly Detection, Data-Driven Decision Making, Business Intelligence » 🐍 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 – Automation, API Development & Integration, Data Pipelines » 📈 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 – Matplotlib, Seaborn, Power BI & Tableau ⦿ 🛠 𝑻𝒆𝒄𝒉 𝑺𝒕𝒂𝒄𝒌 & 𝑻𝒐𝒐𝒍𝒔: » 🐍 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 – Python, R, C++ » 📦𝐌𝐋 & 𝐃𝐋 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: TensorFlow, Keras, Scikit-learn, OpenCV, PyTorch, NLTK » 🗄️ 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – Pandas, NumPy, SciPy & SQL » 📊 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 – Matplotlib, Seaborn, Tableau, and PowerBI » 🖥️ 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬 – Jupyter Notebook, PyCharm, Spyder » ☁️ 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 – AWS, Google Cloud, Flask, FastAPI ⦿ 💡 𝑾𝒉𝒚 𝑯𝒊𝒓𝒆 𝑴𝒆? » 🚀 𝐏𝐫𝐨𝐯𝐞𝐧 𝐓𝐫𝐚𝐜𝐤 𝐑𝐞𝐜𝐨𝐫𝐝: Successfully delivered ML and AI solutions across various industries. » 🎯 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬-𝐅𝐨𝐜𝐮𝐬𝐞𝐝 𝐀𝐈: I align AI/ML solutions with your business goals to maximize impact. » 💡 𝐂𝐮𝐭𝐭𝐢𝐧𝐠-𝐄𝐝𝐠𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Skilled in Scikit-learn, TensorFlow, Keras, OpenCV, Pandas, NumPy, NLP libraries (NLTK, SpaCy), and more. » ⚡ 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 & 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞: I prioritize accuracy, efficiency, and timely delivery in every project. » 📞 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Regular updates & well-documented code. 📩 𝑳𝒆𝒕'𝒔 𝑩𝒖𝒊𝒍𝒅 𝑺𝒐𝒎𝒆𝒕𝒉𝒊𝒏𝒈 𝑨𝒎𝒂𝒛𝒊𝒏𝒈! If you're looking for a dedicated, results-driven data scientist to help with your ML/AI projects, let’s connect! I’m excited to collaborate and bring data-driven innovation to your business. 📌 Click "𝑯𝒊𝒓𝒆" to get started!

Once an Astrophysics Researcher, now a 3× AI Founder. I turned curiosity about the universe into AI systems that drive measurable business outcomes. I’m Vivekjyoti Bhowmik, Founder of TOINGG an AI Communication OS and PGAGI, an AI consultancy building production-grade AI systems for businesses across the US, UK, GCC, UAE, Australia, and India. Over the last few years, my team and I have built 80+ AI systems across industries. - Real production systems with users, revenue, workflows, and business impact. We specialize in building AI systems that are: → Enterprise-grade → Multi-tenant → Scalable → Secure → Integrated into real business operations → Built for ROI, not experimentation One of the platforms we helped build, Branify, crossed 50,000+ live users within one month of launch in 2026 may. Across our portfolio, more than 70% of the products we’ve built are live, used by real customers, and have paying users. Today, we don’t just “build AI.” We implement AI into business workflows to generate ROI within 90 days. What We Actually Do We design and deploy AI systems that replace manual work, increase conversion, and reduce operational load. → Turn inbound leads into qualified meetings automatically → Replace repetitive operations with AI-driven workflows → Build AI systems on top of your existing stack — CRM, WhatsApp, ERP, databases, spreadsheets, and internal tools → Create decision systems that improve revenue, not just dashboards → Build scalable AI products with multi-tenant architecture, role-based access, usage tracking, and production monitoring Real Business Impact ✅ AI Communication System — TOINGG handles high-volume AI calling workflows with scalable infrastructure and 99.9% uptime focus ✅ Branify — 50,000+ live users within one month of launch ✅ Outreach System — 200 cold messages converted into 8 qualified meetings and $7million sales in pipeline ✅ Global Clients — US, UK, UAE, GCC, Australia, and India ✅ 70%+ of products built are live with real users and paying customers Revenue & Sales Systems We build AI systems that help businesses convert more leads without increasing manual workload. Examples: → Lead comes in → AI qualifies the lead → Tags them as HOT / WARM / COLD → Books a call → Updates CRM → Hands off to the sales team only when needed This helps your team focus on high-value conversations instead of repetitive follow-ups, lead sorting, and data entry. Operational Automation We automate internal workflows that usually consume hours of manual work. Examples: → PDFs, Excel files, emails, and forms processed automatically → Data cleaned, structured, and pushed into CRM / ERP / Google Sheets → Missing data, delays, or incorrect entries detected in real time → Alerts and tasks triggered automatically → Humans involved only for approvals, exceptions, and critical decisions Data → Decisions We build AI systems that execute and make desicions. They trigger action. → Forecasting → Automated reporting → Business intelligence with execution layer → Decision support systems → AI dashboards connected to workflows Custom AI Products For founders, startups, and growing businesses, we build complete AI products from scratch. This includes: → Multi-agent architectures system → Multi- model RAG pipelines (scalable) → Enterprise-grade SaaS platforms → Multi-tenant backend systems → AI workflow automation → Role-based dashboards → Voice AI and communication systems → Scalable APIs and infrastructure We Are a Fit If ✔ Your business is doing minimum $1million in ARR ✔ You already have operations running — 20 people team, leads, data, customers, or workflows ✔ You want to implement AI into real business processes ✔ You need scalable, production-grade systems ✔ You care about outcomes, speed, and execution Not a Fit If ✖ You are exploring AI just to try it ✖ Price matters more than business outcome ✖ There is no clear use case or objective ✖ You are not ready to execute fast Why Founders Work With Us → We think like partners, not developers → We focus on outcomes first, AI second → We build systems that integrate into your business, not sit outside it → We understand product, architecture, AI, and business ROI together → We have experience building systems used by millions of real users If you are looking to increase revenue, reduce manual work, or scale operations using AI, message me. We’ll map your workflow, identify the ROI opportunity, and show you exactly what should be built.

Transforming complex data and novel research concepts into production-ready AI solutions. With over 8 years of experience at the intersection of AI research and enterprise-level engineering, I specialize in tackling challenges that require more than off-the-shelf solutions. I architect and build robust, scalable systems that turn raw data—from satellite feeds to real-time video—into actionable intelligence. Here's What I Build: 🛰️ Advanced Geospatial & Vision Systems: I develop end-to-end computer vision pipelines for complex environments. My experience includes: • Smart City Solutions: Building traffic monitoring and management systems using real-time object detection and tracking (as demonstrated in the Urban Guard project). • 3D Mapping & LiDAR Processing: Creating high-precision 3D models from LiDAR data for vehicle and drone tracking (showcased in the LiDARView system). • Automated Sports Analytics: Designing systems to track player and ball movements for real-time statistical analysis (like the Trackzella project). 💡 Custom Data & Annotation Platforms: I understand that great AI starts with great data. I build the foundational tools necessary for high-performance models: • Synthetic Data Generation: Engineering platforms to create diverse, realistic datasets for robust model training (proven with the Imagate platform). • Multi-Format Annotation: Developing collaborative tools for labeling images, video, and text to power specialized AI models (like the Anna annotation platform). ☁️ Scalable MLOps & Deployment: A model is only valuable when it's in production. I ensure your AI solutions are reliable and efficient using modern DevOps practices, including containerization (Docker, Kubernetes) and deployment across major cloud platforms (AWS, Azure, GCP). Key Technology Stack: • Languages & Frameworks: Python, PyTorch, TensorFlow, OpenCV • MLOps & Cloud: Docker, Kubernetes, AWS (SageMaker, S3), GCP (Vertex AI), Azure • Data & CV: LiDAR, Satellite Imagery Processing, Pandas, NumPy, Scikit-learn Are you looking to solve a complex R&D problem or build a first-of-its-kind AI application? Let's connect for a brief consultation to discuss your vision.

Hi, I am a full stack Artificial Intelligence (AI) engineer with 6+ years of experience of developing AI solutions for clients worldwide across various industry and research domains since pre LLM era(like startups and Fortune 50 companies ..). My expertise spans the development of robust cloud native end to end machine learning AI/ML solutions, including AI Agents and Automations, AI Chatbots, Conversational AI Agents and AI-driven Content Generation,NLP, Timseries forecasting/analysis, XAI . Availability: Open to full-time & long-term projects Expertise: ✅ AI Agents ✅Timeseries prediction, predictive modeling ✅ AI Chatbots ✅ AI Search ✅ AI Generated Content (Video/Image/ Audio) ✅ AI SaaS ✅Generative AI Modelling(GenAI, prompt engineered LLM RAG apps, AI agents, chatbots), ✅Natural Language Processing (NLP), ✅Speech Processing (ASR, TTS, STT) ✅Computer Vision, ✅OCR, ✅Classification, ✅Regression and XAI more..... Client testimonials: ⭐ "100000% recommended." ⭐ "Good freelancer that has serious background of ML and NLP. Recommended" ⭐ "Pooja is perfect! She communicates very well, responds to my questions in a timely manner, submit results within the deadline, and most importantly, she knows her ways on NLP. She's nice and kind and very easy to work with. You will not regret hiring her." ⭐"Working with Pooja was great! We hired her to test a data science tool that we're building and not only did she test the tool according to the instructions that we provided, but she also thought of other scenarios to test the tool in. I'd love to work with her again. 📚Proficient in a multitude of Python libraries such as Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, PyTorch, Keras, SpaCy, NLTK, Gensim, OpenAI(models like GPT( ChatGPT), DALL-E, Whisper), Hugging Face, Langchain, LLMs(GPT3.5/4, Claude, Perplexity, LLaMa, and more...) I possess a comprehensive skill set tailored to tackle complex AI challenges like prompt engineering, fine tuning, model quantization/distillation/pruning. Can deploy to cloud of your choice, AWS, GCP, Azure, Hetzner, Runpod to production /test I am experienced with customizing ML/DL models to obtain higher accuracy compared to existing models. "I've tuned several models and optimized their accuracy from 75% to about 98%." My project repertoire includes a wide array of AI Machine Learning and Deep Learning endeavors like AI agents workflows, AI RAG apps, predictive modelling end to end workflow and more... Some of the production AI systems I’ve delivered that drove real business impact: ✅ Saved $500K+ in potential expenses for a client by designing and deploying a custom AI solution tailored to their operations. ✅ Unblocked a Fortune 50 team stuck for 6+ months on a HIPAA-compliant AI project for their legacy system, delivering multiple solutions that prevented millions in potential losses. ✅ Developed Explainable AI (XAI) models, helping stakeholders gain actionable insights and build trust in AI decisions. ✅ Delivered RAG-based AI systems and AI Agents, including multi-agent orchestration capable of interactive, autonomous workflows. ✅Developed and productionized full stack AI systems with XAI for an EU Commission Consortium project. ✅ Developed HIPAA and GDPR compliant AI systems Why me? ✅ I strive to deliver top-tier AI solutions to ensure 100% client satisfaction. ✅ As an quick learner and proactive problem solver with an engineering background, I continually seek to expand my knowledge horizons and innovate in the dynamic field of AI and help my clients with the same. ✅ I believe in trustful collaboration and prompt delivery for my clients I am committed to solving your problem by providing an effective solution. I strongly value work ethics, dependability, honesty, and loyalty. My focus is always on delivering desirable results. I am flexible in my approach, and I quickly learn new skills necessary to complete the project successfully. Tools skilled in: - OpenAI GPT 3,3.5, 4, 4o, o1, OpenAI Realtime API, Claude and more... - HuggingFcae Transformers - Langchain - Mlflow - DialogFlow - Rasa - ManyChat - Prompt Engineering - Retrieval-Augmented Generation (RAG) - Langchain, Langsmith, Langgraph # CrewAI # Speech Recognition (ASR) # Natural Language Understanding (NLU) # Text-to-Speech (TTS) # Voicebot Development # AI Model Fine-Tuning # Multimodal AI # AI Workflow Automation # Microsoft semantic Kernel # AutoGPT # Smolagents # Pinecone # Milvus # Qdrant # Chroma # Weaviate #Chatbots #GPT4 #Anthropic #Claude #LLMs #Rasa #ManyChat # LangChain #OpenAI # RAG #VoiceBots #GenerativeAI #Vapi #Prompt Engineering #Flowise #Langsmith #CrewAI #PineCone # Deepseek #ElevenLabs #Sora #Veo #Kling #Higgsfield #Gemini #nano banana #Grok #Docker #CI/CD #Nodejs #Nestjs #fastapi #django #Quarkus #backend #Websockets #Rest API #AWS #GCP

I am the Top 3 percent developer on Upwork having Pink badge, I help clients build products that are sharp, scalable, and results focused. I design and build production-grade AI systems powered by Large Language Models, Retrieval-Augmented Generation, intelligent chatbots, and autonomous multi-agent architectures that go beyond prototypes and deliver measurable business outcomes. My expertise lies in combining advanced AI modeling with scalable system design, enabling chatbots, agents, and multi-agent systems to operate reliably in real-world environments. 🔹 Core Expertise Generative AI Systems LLM integration using OpenAI, Gemini, Claude, and open-source models like LLaMA and Mistral Prompt engineering for deterministic outputs, structured responses, and controlled reasoning Tool-augmented generation and function calling for real-world execution Context management for long conversations and memory-aware systems RAG & Knowledge Systems End-to-end RAG pipelines with vector databases like Pinecone, FAISS, Weaviate Hybrid retrieval combining semantic search, keyword search, and metadata filtering Context optimization like chunking strategies, re-ranking, and compression Knowledge grounding for chatbots and AI assistants to reduce hallucinations AI Chatbots (Advanced) Conversational AI with multi-turn memory and contextual awareness Domain-specific chatbots for customer support, internal tools, and SaaS platforms Stateful chat systems with session memory and retrieval-backed responses Integration with APIs, CRMs, and external tools for actionable conversations AI Agents & Multi-Agent Systems Autonomous AI agents with task planning, reasoning, and tool usage Multi-agent orchestration where agents collaborate, delegate, and validate outputs Workflow automation agents for tasks like lead qualification, research, and execution Event-driven agent systems with feedback loops and self-correction Machine Learning & Deep Learning NLP pipelines, embeddings, and similarity search systems Fine-tuning and domain adaptation for LLMs Recommendation systems and predictive modeling Evaluation frameworks for model performance and reliability 🔹 System Design & Engineering I focus on building end-to-end AI architectures where chatbots and agents are part of a larger, reliable system. Backend systems using Python, FastAPI, Node.js Scalable architectures for chatbot platforms and agent workflows Vector database optimization and retrieval latency tuning Real-time inference systems for conversational AI Secure integrations with third-party APIs and enterprise systems MLOps & AI Infrastructure Deployment on AWS, GCP, Azure with GPU scaling CI/CD pipelines for AI systems and agent workflows Monitoring, logging, and observability for chatbot and agent performance Cost optimization for LLM-heavy applications 🔹 What I Build Intelligent AI chatbots with deep contextual understanding and action capabilities RAG-powered knowledge assistants for enterprises and SaaS products AI agents that automate workflows like lead qualification, support, and operations Multi-agent systems for complex task orchestration and decision-making Document intelligence systems for extraction, summarization, and structured insights AI copilots integrated into products for enhanced user experience 🔹 My Approach I design systems where chatbots and agents are not just interfaces, but intelligent decision layers. Focus on accuracy, latency, and cost trade-offs Build for edge cases and unpredictable inputs Ensure structured outputs for downstream systems Design modular architectures for scaling from single-agent to multi-agent systems 🔹 Differentiation Deep expertise in both LLMs and system-level architecture Experience building real-world chatbot and agent-based systems Strong understanding of multi-agent coordination and workflow automation Ability to convert complex ideas into scalable AI products Product-focused mindset with emphasis on measurable impact 🔹 Tech Stack Python, FastAPI, Node.js, LangChain, LlamaIndex, Pinecone, FAISS, Weaviate, OpenAI, Gemini, Claude, Hugging Face, Docker, Kubernetes, AWS, GCP If you are looking to build advanced AI chatbots, intelligent agents, or multi-agent systems, I can help you design and implement solutions that are technically robust and production-ready. Let us build systems that think, act, and scale.

Experienced in: 1. Computer vision • C++, Python, OpenCV, CUDA, Git, Linux, Qt, Boost, OpenGl, PCL, Strong math background, Neural Networks - road segmentation for unmanned vehicles (ENet, Caffe, OpenCV, C++, Linux) - car tracking (Yolo v3, OpenCV, C++, Linux) - wagon number identification (Yolo v4, Python) - implementation of real time 360°/perspective camera transformation on Cuda (C++, Cuda, OpenCV, Linux, Jetson Nano) - distance calculation to point on 2D camera frame (C++, OpenCV, Linux) - automate grading system for handwritten answer sheets (computer vision part, OpenCV, Java, Android Key stack: Linux, C++ (Qt), Python, Java, OpenCV, Yolo (darknet) 2. Machine Learning Machine learning research projects in the following domains: - person segmentation (ModNet, RVM, TDNet, UCTransNet, XMem etc.) - image inpainting (Pen-Net, Deepfillv2, Shift-Net, ViNet etc.) - image upscale (RDN, RRDN, Stable Diffusion, ISR etc.) - image relighting (Total Relighting, DPR, RelightNet etc.) - road segmentation for unmanned vehicles (ENet, Caffe, OpenCV, C++, Linux) - car tracking (Yolo v3, OpenCV, C++, Linux) - wagon number identification (Yolo v4, Python) - implementation of real time 360°/perspective camera transformation on Cuda (C++, Cuda, OpenCV, Linux, Jetson Nano) - distance calculation to point on 2D camera frame (C++, OpenCV, Linux) - automate grading system for handwritten answer sheets (computer vision part, OpenCV, Java - Android, IOS - Swift) Key stack: Linux, Python, Pytorch, Tensorflow, OpenCV, Pillow, Numpy, C++, CUDA, Darknet, SegNet 3. Robotics and Embedded development: - OCPP Protocol, Linux, Modbus, Raspberry Pi, CAN; -ROS Robot operating system; - Skilled in SLAM, localization, mapping - Experienced in path planning algorithms, obstacle avoidance, holonomic, and non-holonomic motion planning, trajectory planning for robotics arms; - Used to work with Bayesian/Kalman filters, and sensor fusion (LiDAR, IMU, Visual, Odometry, Radar, GPS). 4. Android development (Kotlin, Java, Android Studio, Eclipse, Firebase). Has expert colleagues in: • .Net Framework (C#, VB.Net, ASP.Net, .Net Core, WPF, UWP,WCF, ADO.Net) • Java (j2se, j2ee, servlets, java beans, Maven) • JavaScript (Node.JS, Express.js, Vue.js, Element.js, Angular.js, D3.js) • C++ (TCP/IP, HTTP, HTTPS, WebSocket, Modbus) • Python (MAVLink, WebSocket) • Step7 (S7 Communication, OCPP, Modbus, CANOpen, ProfiNet) Database • PostgreSQL • MySQL • MongoDB • Microsoft SQL • Oracle Database • Neo4J Software development for mobile platforms • Crossplatform React Native, Flutter, Xamarin, • Android (Kotlin, Java, Android Studio, Eclipse) • iOS (Objective C, Swift) Mobile apps development: • Crossplatform: Futter, React Native, Xamarin. • Android (Java, Kotlin) • iOS (Objective C, Swift) 1. Native Development - Kotlin/Java - Swift / Objective-C - iOS/macOS/tvOS/watchOS - Firebase, CloudKit, Coredata 2. Cross-Platform and Hybrid App Development - React Native/React - Flutter / Dart - Xamarin.iOS / Xamarin.Android / Xamarin.Forms tech stack ● Android Studio, Gradle, Kotlin DSL, KSP ● Kotlin, Java programming languages ● AndroidX, Android Jetpack libraries, Android Architecture Components ● Jetpack Compose ● Material Design Components ● Clean Architecture, SOLID design principles ● MVVM, MVI, GoF design patterns ● Modularization (multi-module projects) ● Kotlin Coroutines + Flow, RxJava, RxBinding ● REST API / Networking - OkHttp, Retrofit 2, Socket IO ● Room Database, SQLite, Datastore ● Kotlinx Serialization, Protobuf, Moshi, Gson ● Dependency Injection (Hilt, Dagger 2, Koin) ● Git ● Firebase Products, Google Cloud APIs, HMS Services ● Admob, Google Play Billing Library (in-app purchases), Samsung/Huawei IAP ● Unit / Instrumented (UI) tests ● Agile Scrum development methodology ● CI/CD (GitHub Actions) AR/VR: Vuforia ARkit/ARcore/AR Foundation Wikitude Oculus Integration OpenXR XR Interaction toolkit VR Walkthrough UltimateXR VR Interaction Framework Hardware expert: • Nvidia Jetson Nano, TX2, Xavier; • Raspberry Pi; • Arduino, STM32; • Depth cameras Intel Realsense d435i , Zed Sterelabs. • Lidars, Radars. Charging stations for the Electric Vehicles development software for the managing stations and networks (server and user applications): • C#, SQL, PostgreSQL, .Net Core, REST Api, WebSockets • OCPP Protocol, Linux, Modbus, Raspberry Pi Software development • .Net Framework (C#, VB.Net, ASP.Net, .Net Core, WPF, UWP,WCF, ADO.Net) • Java (j2se, j2ee, servlets, java beans, Maven) • JavaScript (Node.JS, Express.js, Vue.js, Element.js, Angular.js, D3.js) • C++ (TCP/IP, HTTP, HTTPS, WebSocket, Modbus) • Python (MAVLink, WebSocket) • Step7 (S7 Communication, OCPP, Modbus, CANOpen, ProfiNet) Database • PostgreSQL • MySQL • MongoDB • Microsoft SQL • Oracle Database • Neo4J

Building production-ready AI systems, automated workflows, and robust data architecture. I am an expert AI Engineer and Full Stack Developer specializing in the design and architecture of real-world intelligent systems. I don't just write scripts; I build scalable production platforms, robust backend APIs, and complex data pipelines that turn raw information into high-quality business solutions. If you need a technical expert to design a long-term, high-performance model, implement an autonomous agent, or scale your development to the next phase, you are in the right place. 🚀 WHAT I BUILD & DESIGN 1. Data Pipelines & System Architecture Data Engineering: Designing high-performance data pipelines to extract, clean, and process structured and unstructured data. Production Systems: Architecting scalable backend systems and cloud infrastructure (Azure, AWS) for high-availability platforms. Real-World Integration: Seamless API and database integration to connect your proprietary data to modern AI models. 2. AI Agents & Automated Workflows Workflow Automation: Building complex, automated workflows using Python and n8n to streamline your business operations. Autonomous Agents: Developing intelligent agents that interact with tools, execute tasks, and make decisions based on real-time data. LLM & Prompt Engineering: Advanced prompt engineering, fine-tuning, and integrating top-tier LLM models (GPT-4, Claude) into your core product. 3. Full Stack & API Development Backend APIs: Designing clean, secure APIs and microservices using Python (FastAPI/Django) and Node.js. End-to-End Development: Taking your product from the initial design phase all the way to production deployment. 💻 MY TECHNICAL STACK & TOOLS AI & Models: Python, LLMs, LangChain, LlamaIndex, Vector Databases, Custom Agent Frameworks. Engineering & Architecture: System Design, Data Pipelines, RESTful APIs, Microservices. Backend & Full Stack: Node.js, Python, SQL/NoSQL Databases. Cloud & Automation: n8n, Azure, AWS, Docker, CI/CD pipelines. 💡 My Engineering Philosophy: I focus on quality code and scalable architecture. Whether we are building an MVP or upgrading an enterprise platform, my goal is to deliver a high-performance system that solves your real business challenges. Are you ready to build a production-grade AI system? Let’s talk. 👉 Click "Invite to Job" to start a conversation about your project and technical needs.

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.

7+ years building production computer-vision, OCR, edge-AI, and AI backend systems where accuracy, latency, and reliability matter. Typical work includes defect detection, live video/object tracking, on-device model optimization, document/OCR pipelines, OpenAI/RAG integrations, and launch rescue for AI products that need evaluation, observability, and clean API architecture. My strongest fit is a project with real data, a broken or uncertain pipeline, and measurable acceptance targets: accuracy, false positives, latency, edge-device constraints, cost, security, or launch readiness. Core work: - Computer vision / OCR: detection, segmentation, tracking, image analysis, OCR extraction, validation, reviewer workflows - Edge AI: ONNX/TensorRT conversion, model optimization, quantization-aware deployment, mobile/on-device inference - AI backend: OpenAI API, RAG, VLMs, source traces, confidence checks, FastAPI, PostgreSQL - Production delivery: tests, logging, monitoring, cloud deployment, handoff docs I am a good fit when AI output must be accurate, fast enough for production, reviewable, logged, and reliable enough for real business use.

𝐁𝐚𝐜𝐤𝐞𝐝 𝐛𝐲 𝟖+ 𝐲𝐞𝐚𝐫𝐬 𝐢𝐧 𝐀𝐈 𝐚𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐈 𝐡𝐚𝐯𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 𝟐𝟓+ 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞-𝐬𝐜𝐚𝐥𝐞, 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐭𝐥𝐲 𝐚𝐜𝐡𝐢𝐞𝐯𝐢𝐧𝐠 𝐨𝐯𝐞𝐫 𝟗𝟎% 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 𝐚𝐧𝐝 𝐫𝐞𝐝𝐮𝐜𝐢𝐧𝐠 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐜𝐨𝐬𝐭𝐬 𝐛𝐲 𝐮𝐩 𝐭𝐨 𝟒𝟎% 𝐚𝐜𝐫𝐨𝐬𝐬 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬. My expertise includes predictive modeling, deep learning, NLP, computer vision, and full-cycle MLOps. I also specialize in advanced AI domains such as Generative AI, LLMs, RAG architectures, AI agents, prompt engineering, vector databases, and cloud-native AI deployments, driving scalable, high-impact business results. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐂𝐥𝐢𝐞𝐧𝐭 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐭𝐨𝐫𝐢𝐞𝐬: - Built an LLM-powered healthcare assistant achieving 94% diagnostic accuracy while reducing physician workload by almost 50%. - Developed a RAG-based financial analysis system processing 100K+ documents daily with 96% precision. - Created an educational NLP platform, improving student engagement by 65% through personalized content delivery. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: 𝐋𝐋𝐌 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Fine-tuning and optimizing GPT-4, LLaMA2, T5, and Mistral models with advanced prompt engineering for high-precision outputs. 𝐑𝐀𝐆 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Designing Retrieval-Augmented Generation pipelines using LangChain, FAISS, and Pinecone for intelligent, context-aware document retrieval and analysis. 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐠𝐞𝐧𝐭𝐬: Developing goal-driven, memory-enabled agents with structured decision-making and adaptive reasoning capabilities. 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐆𝐫𝐚𝐝𝐞 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Implementing scalable solutions on AWS, FastAPI, and SageMaker with robust MLOps pipelines, ensuring high availability and 99.9% uptime. 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐰𝐢𝐭𝐡 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈: 𝐈 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥𝐢𝐳𝐞 𝐀𝐈 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐢𝐧𝐭𝐨 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐜𝐫𝐞𝐚𝐭𝐞 𝐜𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬: • 𝐓𝐫𝐚𝐯𝐞𝐥: Scalable booking systems with resilient pricing logic • 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞: AI-powered diagnostic assistance tools • 𝐅𝐢𝐧𝐚𝐧𝐜𝐞: Intelligent document processing and workflow automation • 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧: Adaptive learning platforms driven by data • 𝐄-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞: Conversion-focused recommendation engines • 𝐋𝐞𝐠𝐚𝐥: Automated contract analysis and insights