💼 🇨🇦 Canadian CFA Charterholder | AI-Native Fractional CFO for Startups | Runway, Fundraising, FP&A & AI Business Models | $1B+ Supported Capital Raises | Top Rated Plus AI startups move faster than traditional finance teams can handle. Revenue models change. Token costs fluctuate. Gross margins compress. Usage scales unpredictably. Investors ask sharper questions. Founders need more than bookkeeping, historical reporting, or another spreadsheet. They need a CFO who understands both startup finance and the emerging economics of AI-native companies. I’m a Canadian CFA Charterholder, Top Rated Plus Upwork fractional CFO, with Masters in AI and ML training. I help founder-led startups build finance functions that are faster, more automated, more investor-ready, and more useful for strategic decision-making. Across my career, I’ve supported startups, growth companies, and investor-backed businesses through fundraising, liquidity pressure, board reporting, restructuring, financial modeling, and high-stakes strategic decisions. My models and finance systems have supported over $1B in capital raised across North America and Europe. What I Help Clients Do ✅ Extend runway and control burn 13-week cash models, runway analysis, burn multiple tracking, hiring plans, downside scenarios, and survival planning. ✅ Understand AI-native economics Token costs, compute expense, usage-based pricing, AI credits, gross margin pressure, customer profitability, cohort economics, and scalable monetization models. ✅ Build investor-grade financial models Three-statement models, SaaS models, marketplace models, usage-based revenue models, scenario cases, board models, and fundraising forecasts. ✅ Create an AI-powered finance function Automated reporting, KPI dashboards, variance analysis, forecasting workflows, anomaly detection, and AI-assisted CFO memos. ✅ Prepare for fundraising Seed through Series B models, bridge rounds, down-round planning, investor decks, data rooms, board materials, diligence support, and financial narratives that withstand scrutiny. ✅ Turn finance into a decision system Real-time dashboards, unit economics, pricing strategy, margin analysis, KPI discipline, and operating leverage planning. Core Services • AI-native Fractional CFO services • Startup FP&A, budgeting, forecasting, and scenario planning • Cash flow, liquidity, and runway management • 13-week cash flow models and crisis finance • SaaS, marketplace, subscription, and usage-based financial models • Token economics, compute cost, AI credit, and gross margin analysis • Fundraising support: Seed, Series A, Series B, bridge rounds, and investor defense • Board reporting, investor updates, and CFO memos • KPI dashboards in Power BI, Excel, and SQL • Finance automation using AI-assisted workflows • Pricing strategy, unit economics, LTV/CAC, cohort analysis, and profitability planning • Due diligence, data rooms, valuation, 409A, M&A, and special situations Why Founders Work With Me Most finance professionals understand accounting. Some understand startup fundraising. Very few understand how AI is changing the financial architecture of startups. I combine: • CFA-level financial rigor • 19+ years of financial modeling and strategic finance experience • Top Rated Plus Upwork execution across hundreds of client engagements • AI/ML graduate training • Hands-on CFO experience inside an AI startup • Practical operator judgment under pressure The result is a finance function that gives founders more clarity, more control, and better decisions — without slowing the company down. Let’s Talk In AI startups, finance cannot be slow, backward-looking, or disconnected from the product. Your finance function needs to understand cash, growth, pricing, compute costs, investor expectations, and strategic risk — all at the same time. Send me a brief, and I’ll help you build a finance function that is investor-ready, AI-aware, automated, and designed for the next stage of growth.

AI Automation Engineer specialized in chatbot development, RAG systems, and LLM-based agents. I build workflow automation tools, internal AI assistants, and production-ready applications using GPT, Mixtral, Llama, LangChain, Pinecone, FAISS, and hybrid retrieval. Top-Rated with 100% client satisfaction · Lead AI Engineer at Ainbox · Delivered 20+ production-grade AI projects - What I Build: Chatbots & LLM Apps: conversational agents, customer support bots, internal assistants RAG Systems: FAISS, BM25, hybrid retrieval, domain-specific knowledge bases AI Automation: reporting automation, multi-agent workflows, process optimization Document Intelligence: summarization, document Q&A, fine-tuning GPT/LLMs Speech AI: multilingual TTS systems, voice cloning, end-to-end pipelines Computer Vision: YOLO, CNNs, ViT-based detection and analysis - Results Delivered: Automated reporting → 15+ hours saved weekly RAG knowledge assistant → 70% faster information retrieval Vision counting system → 90% accuracy improvement Custom multilingual TTS → full production deployment - How I Work: I handle requirements, data pipelines, model integration, LLM orchestration, vector search, and deployment. Every solution is built to be maintainable, scalable, and aligned with real business ROI. If you need a reliable expert to build chatbots, automate workflows, or deploy RAG/LLM systems that actually work in production, let’s talk. Free consultation available.

Data Analyst | Power BI Developer | Python & Statistical Analysis Specialist I help businesses transform raw data into actionable insights through dashboards, KPI reporting, automation, and advanced analytics. My expertise includes: • Power BI Dashboard Development • Excel Automation & Reporting • Python Data Analysis • SPSS, R and Statistical Modeling • KPI Design and Business Intelligence • Research Analytics • Data Cleaning and Visualization I focus on delivering practical, business-oriented solutions that improve decision-making and reporting efficiency.

If you’re looking for an AI engineer who can design LLM and NLP systems that actually work in production, I build intelligent assistants, Chatbots, RAG pipelines and document answering tools that deliver accurate, reliable, enterprise grade results. Clients hire me to turn unstructured text, PDFs and domain knowledge into powerful AI systems that answer questions through grounded context. I’ve built LLM applications for EdTech, healthcare, HR and analytics startups across France, Netherlands and Germany. One client described me as “the best AI engineer I’ve worked with on Upwork” after I rebuilt their deep learning pipeline, fixed data leakage and pushed test accuracy beyond 90 percent. How I can help you: • Custom LLM assistants for your domain • Retrieval Augmented Generation (RAG) systems using your internal documents • Document Q&A pipelines for PDFs, reports, multilingual text and structured outputs • Chatbots for customer support, HR, education or internal workflows • Prompt engineering and evaluation frameworks for consistent results • FastAPI based backends, secure API deployment, and lightweight local LLM setups • Multi agent workflows, vector databases and orchestration with LangChain and LangGraph Tech I work with: Python, LangChain, LangGraph, HuggingFace, OpenAI API, FastAPI, FAISS, Chroma, PyTorch, TensorFlow, Google Cloud, Vertex AI, DeepL, SQLAlchemy Some results I’ve delivered: • Built a RAG system for medical text extraction that improved retrieval accuracy by 40 percent • Developed a multilingual document Q&A bot with memory and structured outputs adopted by analysts • Created an HR assistant with prompt versioning and evaluation tools that reduced response time 60 percent • Delivered AI assistants for educators that automate content review and student response analysis Why clients work with me: • Clean, documented, production ready engineering • Clear communication with both technical and non technical teams • Realistic timelines and solutions grounded in practical deployment • Experience in healthcare, EdTech, HR and enterprise document Let’s get started: Share your problem and a sample of your data. I’ll map out a simple action plan, suggested architecture and timeline so you know exactly how we’ll approach it. Keywords: LLM, NLP, RAG, Chatbot, Document AI, AI Automation, LangChain, LangGraph, Vector Database, Custom AI Assistant, Python, FastAPI, OpenAI.

I help founders and teams turn AI ideas into working products in weeks, not months. Instead of spending months experimenting with LLMs, tools, and architectures, I design and build MVPs that actually work in real business conditions. Typical results: – Working AI MVP in 2–4 weeks – Clear, scalable architecture (not a demo that breaks later) – Reduced risk before investing into full development 💡 What I do best – Turn raw AI ideas into working MVPs – Design production-ready AI architectures – Build agentic AI systems (multi-agent workflows, automation) – Develop RAG systems & knowledge-based AI – Integrate LLMs into existing products and workflows I focus on execution and outcomes — not just code. 🧠 Who I work with – Startups validating AI ideas – Founders building MVPs for investors or internal use – Teams внедряющие AI в существующие продукты – Businesses looking to automate workflows with AI 💬 Not sure where to start? I offer short consultation calls where we: – break down your idea – define architecture – identify fastest path to MVP Most of my projects start this way. ⚙️ Typical engagement – AI MVP / Proof of Concept: $1,500 – $5,000+ – Architecture & planning: via consultation – Ongoing development: after MVP validation Most of my work is fixed-scope (MVPs, PoCs). If you need someone who can not only build, but also think through your AI product — let’s talk.

⚠️ Your business homepage is outdated — and your customers know it. Customers don’t come to your website for pretty images or menus. They come for answers, guidance, and instant interaction. If your business still relies on static pages, forms, or slow human response times, you’re already losing leads to competitors who are using AI Agents, Chatbots, and Conversational AI to deliver real-time support. I specialize in building AI Agents and AI Chatbots that completely transform how businesses communicate with their customers. Using LangChain, RAG (Retrieval-Augmented Generation), OpenAI, FastAPI, PostgreSQL, and CRM integrations, I create agents that act as 24/7 customer support reps, lead generators, and sales assistants. 💡 What I build for you: AI Customer Support Agents – answering FAQs, resolving queries, handling complaints. AI Sales Agents – qualifying leads, booking appointments, upselling products. AI Chatbots for Websites – plug-and-play widgets installed in under 2 minutes. Voice AI Agents – outbound & inbound calling powered by Twilio + OpenAI. CRM & ERP Integration – connect your HubSpot, Salesforce, Zoho, or custom systems. Custom AI Automation – appointment scheduling, order tracking, feedback collection. 🚀 Unlike generic no-code bots, my solutions are custom, powerful, and scalable. Start with a free AI agent widget on your homepage and expand into a full AI-powered ecosystem — one agent for one business, designed around YOUR workflows. 👉 If you’re searching for AI Agent Developer, AI Chatbot Expert, Voice AI Consultant, or LangChain Engineer — stop searching. You’ve already found the partner who can help your business cut costs, close more sales, and never miss a customer again.

🏆 Top 3% Freelancer on Upwork | AI, Data, and Automation Specialist Hi I'm Marco 👋 I'm a Python developer with over 4 years of hands-on experience building AI systems, automation workflows, and data-driven applications for clients across multiple industries. 🌍 I speak: English, French, Spanish, and Portuguese. 🤖 I use: Cursor, Claude, Hermes Agent. ⭐ Highlights ↳ Developed 5+ MVPs that successfully secured funding. ↳ Completed 45+ Upwork contracts with a 100% Job Success Score. ↳ Built and currently maintain scalable data pipelines for 3+ companies. ↳ Built production-ready Retrieval-Augmented Generation (RAG) systems using modern LLM frameworks and vector databases. ↳ Trained 4+ founders and teams on implementing AI agents. ↳ Configured and deployed Hermes Agent workflows for multiple companies, following security and scalability best practices. ↳ Built custom automation systems powered by LLMs and generative AI for content creation, including avatar videos, images, and social media workflows. ↳ Built 30+ web scrapers on Apify. 🧠 Skills & Tools ↳ AI & RAG Systems: LangGraph, LangChain, OpenAI, ChromaDB, Pinecone. ↳ Hermes Agent: setup, debugging, create custom AI Workflows, Skill integration, Gbrain, MCPs, security best practices. ↳ Automation & Scraping: Playwright, BeautifulSoup, Apify (Actors), Camoufox. ↳ Data Science & ML: Pandas, NumPy, Scikit-Learn, PyCaret, TensorFlow, MMM (Marketing Mix Model), NLP, Optuna. ↳ Dashboards & Visualization: Plotly Dash and Data Studio. ↳ Web Development: FastAPI, Flask, CSS, HTML, Jinja2, Vibe-coding. 🚀 Side Projects ↳ Social Media Automation with Hermes Agent Built 3 custom AI workflows with 7+ integrated skills to automatically generate and publish avatar videos, infographics, and articles on X. ↳ AI Assistant (RAG) for Crypto & Blockchain News Developed a RAG system that continuously ingests, embeds, and retrieves content from multiple crypto and blockchain news sources. ↳ Web3 Analytics Dashboard (Hackathon Winner – €5k Prize) Won a hackathon challenge by building an interactive Plotly dashboard to visualize tokenized assets and blockchain analytics. ↳ AI-Generated Illustrated Books Pipeline Created an end-to-end content generation pipeline that automatically produces illustrated books using generative AI, from story generation to image creation and final assembly. ↳ Enterprise Data Pipelines & Reporting Built and maintained data pipelines connecting APIs, databases, and web scraping systems to analytics dashboards and automated reporting workflows. If you're looking for someone who can build AI applications, automate business processes, develop scalable data systems, or turn an idea into a working product, let's talk. 🤝

Hey there, I'm Usman. I've spent the last six years doing one thing consistently: turning messy business problems into AI systems that actually work in production. Not demos, not prototypes that collapse under real traffic, actual deployed systems with real users and real outcomes. I've fine-tuned multilingual NLP models across five languages, built production-grade RAG pipelines, designed multi-agent orchestration systems, and obsessed over the gap between "it works in a notebook" and "it works at scale." If that sounds like the kind of thinking your project needs, let's talk. 𝗪𝗵𝗮𝘁 𝗜 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗕𝘂𝗶𝗹𝗱 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 & 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 CrewAI, AutoGen, AgnoAI, LangGraph. I've built orchestrated agent pipelines that coordinate scraping, analysis, strategy, and generation in a single coherent workflow. I know how to design agent memory, tool use, and inter-agent communication for production environments, not just toy examples. 𝗟𝗟𝗠 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 Fine-tuning is where a lot of people stop at theory. I've done it for real. I work across the latest frontier models: GPT-5.4, Claude Opus 4.6, Claude Sonnet 4.6, Gemini 3.1 Pro, Llama 4, and DeepSeek V4. I've run systematic evaluations with weighted scoring frameworks across multiple languages. LoRA, QLoRA, PEFT, these are weekly tools, not resume keywords. 𝗥𝗔𝗚 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 & 𝗩𝗲𝗰𝘁𝗼𝗿 𝗦𝗲𝗮𝗿𝗰𝗵 LangChain, LlamaIndex, Pinecone, ChromaDB, Qdrant, Weaviate. I've built retrieval-augmented pipelines that go beyond basic similarity search: hybrid retrieval, re-ranking, chunking strategies, metadata filtering. The kind of RAG that doesn't hallucinate when the stakes are high. 𝗔𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Most companies already have systems. They need someone who can weave AI into them without breaking everything. I connect LLM pipelines to existing APIs, analytics stacks, CRMs, and automation tools like n8n and Make. I also build chatbot integrations across WhatsApp, Telegram, and SMS via Twilio, and handle payment integrations via Stripe. 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 Time series forecasting (Prophet, LSTM), ETL pipelines, geospatial mapping, and dashboards in Plotly Dash, Power BI, and Looker. I translate numbers into decisions, not just charts. 𝗠𝗟𝗢𝗽𝘀 & 𝗖𝗹𝗼𝘂𝗱 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 AWS (EC2, ECS, Lambda, RDS, S3) and GCP (Cloud Run, BigQuery, Cloud Functions). Docker, FastAPI, CI/CD, the full production stack. 𝗠𝘆 𝗦𝘁𝗮𝗰𝗸 𝗟𝗟𝗠 / 𝗚𝗲𝗻𝗔𝗜: GPT-5.4, Claude Opus 4.6, Claude Sonnet 4.6, Gemini 3.1 Pro, Llama 4, DeepSeek V4, Mistral, Stable Diffusion, Flux 1.1, Ideogram 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: LangChain, LlamaIndex, CrewAI, AutoGen, AgnoAI, LangGraph, HuggingFace 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀: Pinecone, ChromaDB, Qdrant, Weaviate, FAISS 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴: LoRA, QLoRA, PEFT, RLHF, DPO 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Python, FastAPI, Django, Flask, REST APIs, Stripe 𝗗𝗮𝘁𝗮: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, PySpark, spaCy 𝗩𝗶𝘇 / 𝗕𝗜: Plotly Dash, Power BI, Looker, Tableau 𝗖𝗹𝗼𝘂𝗱: AWS (EC2, ECS, Lambda, S3, RDS, DynamoDB), GCP (Cloud Run, BigQuery, Cloud Functions) 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: n8n, Make, Airtable, Twilio 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: BeautifulSoup, Scrapy, Playwright, Selenium 𝗘𝗥𝗣: SAP 𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝘆 "Usman goes above and beyond and really works very hard to ensure the client is happy. I'm very impressed with his work ethic and his morals. I would highly recommend." 5/5 ⭐️⭐️⭐️⭐️⭐️ "I shared a very loose vision of what I wanted to build and Usman was not only able to build it at a fraction of the cost than I had expected but the end product completely exceeded my expectation. He built a custom generative AI chatbot on WhatsApp with countless integrations from image generation to connecting calendar and much more. He is not only an excellent freelancer but a really nice guy." 5/5 ⭐️⭐️⭐️⭐️⭐️ "Capable of delivering quality outputs under tight timelines and projects that require R&D. His attitude is very positive and he's a very friendly person. I highly recommend him." 5/5 ⭐️⭐️⭐️⭐️⭐️ "Very talented and skillful. Job completed on time. Easy to communicate with. Highly recommended." 5/5 ⭐️⭐️⭐️⭐️⭐️ 𝗢𝗻𝗲 𝗟𝗮𝘀𝘁 𝗧𝗵𝗶𝗻𝗴 I'm not the right fit for every project, and I'll tell you honestly if that's the case. What I am good at is scoping ambiguous AI problems, making sound architectural decisions, and delivering systems that hold up after the handoff. If you have a project where those things matter, let's get on a call.

🏆 Top Rated Plus Top 1% Upwork talent AI |ML | NLP | LLMs | GenAI | RAG | LangChain | AI Agents ⭐ Proven track record of delivering high impact AI/ML solutions for startups and enterprises. Clients consistently appreciate my commitment to quality, collaborative approach, reliability, clear communication, and accountability for outcomes. With 10+ years of experience and 20+ successful projects, I build production ready systems that drive measurable business value using Artificial Intelligence, Deep Learning, Machine Learning, Natural Language Processing (NLP), Python, LLMs, RAG, AI Agents, and Intelligent Automation. SERVICES ✅ AI/ML ✅ AI Adoption & GenAI ✅ Predictive analytics ✅ AI App Development I can help with: 𝐌𝐚𝐤𝐞𝐬 𝐈𝐭 𝐇𝐚𝐩𝐩𝐞𝐧 🤖 LLM-powered applications and AI assistants 📚 Retrieval-Augmented Generation, or RAG systems 🧠 AI agents for research, automation, and decision support 💬 Chatbots connected to private business knowledge bases 🔎 NLP pipelines for classification, summarization, extraction, and search 🧩 Semantic search and embedding-based recommendation systems 🛠️ Fine-tuning and model evaluation workflows ✍️ Prompt engineering and LLM workflow optimization 📈 Machine learning models for prediction, clustering, forecasting, and ranking ⚙️ Data products using Python, SQL, APIs, cloud tools, and vector databases 🤖 AI Agents & Copilots 🧠 Generative AI & LLM Integrations 💬 Chatbots & Voice AI 🔎 RAG & Knowledge Assistants ⚙️ AI Workflow Automation 📄 AI Powered Data Extraction & Enrichment 🌐 AI Features for SaaS Products 📊 Predictive & Data-Driven Automation 🛠️ Example projects I can support 📄 Building a custom AI assistant over your company documents 🔍 Creating a RAG pipeline with evaluation and monitoring 🤖 Automating business workflows with AI agents 🏷️ Developing an NLP classification or extraction system 📊 Improving an existing LLM product for accuracy, reliability, and cost 🏗️ Designing the technical architecture for an AI SaaS product 🧪 Turning research papers or AI concepts into working production systems ⭐ Why clients hire me: 𝐑𝐞𝐚𝐥 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬. 𝐑𝐞𝐚𝐥 𝐢𝐦𝐩𝐚𝐜𝐭. I combine strategic AI leadership with the ability to build hands on. I can speak with executives about business value, work with product teams on scope and roadmap, and collaborate with engineers on architecture, implementation, and deployment. Development approach focuses on: 𝐁𝐮𝐢𝐥𝐭 𝐨𝐧 𝐭𝐫𝐮𝐬𝐭, 𝐝𝐫𝐢𝐯𝐞𝐧 𝐛𝐲 𝐜𝐚𝐫𝐞 • Building practical, scalable, and business focused AI solutions • Writing clean, maintainable code using industry best practices • Delivering efficient execution using modern AI development and Vibe-coding practices • Leveraging AI assisted tools like GitHub Copilot for faster delivery. If your goal is to build real AI products — not just demos — I can help you get there. STACK & TECHNOLOGIES Core stack: Python |React |R |JavaScript |SQL GenAI and Artificial Intelligence: Skills: Generative AI |Prompt Engineering |Retrieval Augmented Generation |AI Model Training AI Model Development |Object Detection |Large Language Model |Conversational AI |Chatbot Development |Model Deployment Tech: PyTorch |TensorFlow |LangChain |Hugging Face |ElevenLabs |Azure |Microsoft 365 Copilot |Document AI |Replit |Keras |Agent GPT |Anyword |Azure OpenAI Service |Synthesia Streamlit |Runway |Rasa |NotebookLM |Midjourney AI |Claude |OpenAI |GPT |ChatGPT |Gemini |Llama| Command |BERT |Mistral |DALL-E |RoBERTa Data Analysis and Machine Learning: Skills: Deep Learning |Computer Vision |Natural Language Processing |OCR |Edge AI |Image Processing Explainable AI |Artificial Neural Network |Image Segmentation |Feature Extraction Tech: PyTorch |TensorFlow |Scrapy |pandas |OpenCV |YOLO |Flask |AI Builder |MLflow |Vertex AI Core ML |Databricks Platform |BERT |ArcGIS |NumPy |Apache Spark |Azure AI Vision |Keras Python Scikit-Learn |Azure Machine Learning |TensorRT |Kubeflow |Streamlit |Tesseract OCR Sonnet

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