Odoo ERP Consultant & Developer | Implementation & Customization With 9+ years of specialized Odoo experience, I help businesses implement, customize, and optimize Odoo ERP solutions based on their operational needs. I have successfully delivered Odoo projects for 35+ companies across retail, healthcare, manufacturing, restaurants, eCommerce, and service industries. My experience includes working with Odoo Gold, Silver, and Ready partners on both Community and Enterprise editions. Along with strong technical expertise, I also bring 11+ years of experience in IT and accounting, allowing me to understand both business workflows and system architecture. Services I Provide: ✔ Odoo Implementation & Configuration ✔ Odoo Customization & Development ✔ Odoo API & Third-Party Integrations ✔ Odoo POS, CRM, Inventory & Accounting Solutions ✔ Custom Reports & Dashboards ✔ Odoo Bug Fixing & Performance Optimization ✔ Odoo Migration & Version Upgrades ✔ Data Import & Database Migration ✔ Nginx & SSL Configuration ✔ Ongoing Support & Maintenance Integration Experience: • Biometric Integration • Tahometer Integration • Payment Gateway Integration • Shopify & WooCommerce Integration • REST API Integrations Why Clients Work With Me: ✅ Strong techno-functional expertise ✅ Business-oriented ERP solutions ✅ Clean and scalable development ✅ Fast communication and reliable support ✅ Upgrade-safe customizations I focus on delivering reliable Odoo solutions that improve efficiency, automate workflows, and support long-term business growth. Let’s discuss how I can help with your Odoo project.

I build full-stack web applications with React, Node.js, Laravel, and AWS — 27 Upwork jobs, 6,800+ hours, and $200K+ earned, including a live sports-scoreboard platform delivered over 748 hours at 5.0★. Clients keep me around: several of my contracts run for years, because I estimate honestly, communicate clearly, and treat the product like my own. 🔹 What I build ● SaaS platforms and web apps — React/Vue front ends, Node.js or Laravel back ends, PostgreSQL/MySQL ● REST APIs and integrations — Twilio voice/SMS, Stripe and payment systems, messaging, third-party APIs ● Real-time features — WebSockets and Redis: live dashboards, messaging, event-driven flows ● Dashboards, portals, and Progressive Web Apps for operations teams ● Rescues — speed, stability, and code-quality rebuilds of underperforming sites 🔹 Results you can verify in my work history ● Sports scoreboard tech platform — 748 hours, 5.0★: "working with Surbhit was outstanding! He and his team understood every concept" ● SaaS app implementation — 5.0★: "very happy with the product that the team produced! Would again!" ● Custom quote-builder app — 5.0★: "Highly recommend Surbhit and his team… delivered exactly what I was looking for" ● VoIP integration engine (Twilio Voice) — delivered end to end ● Technical direction & site rescues — 5.0★: "very knowledgeable and supportive, eager to make sure I get the best from my project" · speed fix: "he went above and beyond" 🔹 How I work One call to align, then milestones, a staging link, and weekly demos. First reply within the hour during IST work hours. One client after two years: "we are always completely satisfied and will continue to work with them." 🔹 Stack React, Vue.js, AngularJS, Node.js, Laravel, PHP, Python, MERN, MySQL, PostgreSQL, Redis, WebSockets, Twilio, Stripe, AWS (EC2, RDS, S3), Docker, Nginx, PWA. Backed by Hestabit — an ISO 27001 and SOC 2 Type II certified team — for security-sensitive builds and team scale-ups. If you're building a SaaS product, need APIs and integrations done properly, or want a slow, shaky site rescued — send me the details. I'll reply with a concrete plan, timeline, and cost.

🏆 Top 3% | 💸 $100K+ Client Savings | 📈 100+ Custom Scrapers | ☁️ Cloud-Scaled Automation Systems I build undetectable browser automation systems that bypass Cloudflare, scrape at scale, deployed on AWS infrastructure that actually works in production, and deliver everything through custom dashboards. **Specializations:** - Scalable browser automation on AWS (dockerized Playwright/Puppeteer/Requests) - Undetectable web scraping that bypasses Cloudflare, anti-bot systems, and rate limiting - AI agent frameworks using LangChain for intelligent decision-making - Full-stack dashboards (Next.js/React) for monitoring and control - Reverse-engineered APIs and custom integrations **Recent Projects:** - Content creator platform with distributed browser automation serving 50,000+ users - Lead generation system processing 2,000+ leads daily through automated scraping - AI-powered conversational agent for diabetes management app (50K+ users) - Custom CRM with real-time data sync and hidden data extraction **My Approach:** I ship production-ready systems in 2-3 weeks. Full ownership: reverse engineering, cloud architecture, AI agents, scrapers, dashboards everything. You get complete systems, not half-finished code that breaks when you scale. **Technical Stack:** Cloud: AWS (EC2, ECS, Lambda, S3), Docker, Docker Swarm Backend: Node.js, Python, PostgreSQL, MongoDB, Redis Frontend: Next.js, React, TypeScript, TailwindCSS Automation: Playwright, Puppeteer, Selenium, BurpSuite AI/ML: LangChain, OpenAI API, RAG implementations When you need automation infrastructure that handles real scale, real users, and real business problems, I'm your engineer.

Hi, I’m Muhammad Tauseeq, a Senior Full Stack Developer specializing in .NET, Python, and Cloud-based SaaS development. I’ve delivered 20+ scalable applications across Healthcare, FinTech, HR, and E-commerce, helping businesses automate workflows, reduce infrastructure costs, and accelerate growth. 💡 What I Offer ✅ .NET Enterprise Application Development - 7+ years of hands-on experience with ASP.NET Core, MVC, Web API, Entity Framework, and Microservices - Built enterprise-grade solutions processing 100K+ transactions/month - Improved application scalability by 40% and reduced cloud spending by 30% through architecture optimization - Expertise integrating Azure Active Directory, HIPAA-compliant systems, and third-party APIs ✅ Python & AI-Powered Automation - Skilled in Django, Flask, FastAPI, and Scrapy for backend and automation development - Designed data scraping frameworks handling 14M+ records/day across 80+ websites - Automated lead generation, data pipelines, and reporting—cutting manual effort by 50–70% - Experience building LLM-integrated apps, RAG systems, and AI chatbots for enterprise workflows ✅ Cloud Infrastructure & DevOps - Deployments across Azure, AWS, and GCP with CI/CD pipelines - Containerization & orchestration using Docker and Kubernetes - Expertise in Azure scaling, load balancing, and performance optimization for high-availability SaaS 🧠 Tech Stack - Languages: C#, Python, TypeScript, JavaScript - Frameworks: ASP.NET Core, Django, FastAPI, React, Angular, Vue - Databases: SQL Server, PostgreSQL, MongoDB - Cloud & DevOps: Azure, AWS, GCP, Docker, Kubernetes, CI/CD - APIs & Tools: REST, GraphQL, Twilio, Paycom, Slack API 📈 Why Work With Me ✔ Delivered 20+ global projects across multiple industries ✔ Blend of .NET enterprise architecture + Python automation and AI integration ✔ Proven results: faster, scalable, and cost-efficient systems ✔ Trusted by enterprise clients for clear communication, reliability, and ownership 💬 Let’s connect to discuss how I can help you build, automate, and scale your next SaaS or enterprise solution using .NET, Python, and Cloud technologies.

You have data and a deadline. I build the pieces in between, cleanly, reliably, and with the business goal front and center. I'm a hands-on 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 who takes projects from idea to model to 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 (𝗠𝗟𝗢𝗽𝘀), covering NLP, Computer Vision, classic predictive modeling, and modern LLMs / Generative AI, including agentic AI workflows, RAG pipelines, and multi-agent systems, plus production full-stack apps when they truly add value. 𝗪𝗵𝗮𝘁 𝗜'𝗺 𝗚𝗼𝗼𝗱 𝗔𝘁: • Turning messy data into something useful: data pipelines, data engineering, features, guardrails • Choosing the right approach: scikit-learn / XGBoost / LightGBM when it's enough, PyTorch / TensorFlow when we need deep learning, LLMs with prompt engineering and fine-tuning when the task calls for it • Building things people actually use: microservices with FastAPI / Django / Flask, responsive frontends in React / Next.js, containers with Docker, cloud deploys on AWS / GCP / Azure, monitoring & retraining so models don't quietly drift • Working across structured and unstructured data: PostgreSQL, MongoDB, Redis, Kafka, documents, APIs, logs, whatever you have • Shipping reliable full-stack SaaS platforms: Node.js / Express backends, React / Next.js / Vue.js / TypeScript frontends, REST / GraphQL APIs, auth, RBAC, payments, WebSockets, background jobs with Celery • Explaining trade-offs clearly so you can make decisions quickly 𝗪𝗵𝗲𝗿𝗲 𝗜'𝘃𝗲 𝗯𝗲𝗲𝗻 𝗺𝗼𝘀𝘁 𝗵𝗲𝗹𝗽𝗳𝘂𝗹 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: agent orchestration with tool calling and multi-step workflows, multi-agent systems, human-in-the-loop review for high-stakes actions, knowledge platforms and enterprise search over internal data, workflow automation (LangChain, LangGraph, n8n) 𝗥𝗔𝗚 & 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: retrieval-augmented generation pipelines, vector databases (Pinecone, Weaviate, FAISS), embedding models, chunking strategies, hybrid search, evaluation frameworks, safety checks (Hugging Face, OpenAI / Anthropic APIs, LangChain / LlamaIndex) 𝗡𝗟𝗣 / 𝗟𝗟𝗠𝘀: customer support assistants, document Q&A, classification, summarization, knowledge graphs, conversational AI (spaCy, Hugging Face, OpenAI / Anthropic) 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: detection, segmentation, OCR, image processing, quality control, retail/warehouse vision (OpenCV, YOLO, PyTorch) 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗥𝗶𝘀𝗸: demand, pricing, time series analysis, churn/CLV, fraud & credit risk models, quantitative analysis 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 & 𝗦𝗮𝗮𝗦: scalable SaaS platforms, API integration, responsive React / Next.js interfaces, real-time features, e-commerce, payments, dashboards, web scraping (Selenium, Scrapy, BeautifulSoup) 𝗠𝗟𝗢𝗽𝘀 & 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: CI/CD for ML, model deployment and model serving (REST/gRPC), MLflow, Airflow, Databricks, SageMaker, drift detection, traceability, evaluation loops, metrics, alerting, scheduled retraining 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗖𝗹𝗼𝘂𝗱: Docker, Kubernetes, Terraform, CI/CD (GitHub Actions, GitLab, Jenkins), blue-green deployments, zero-downtime migrations, solution architecture, AWS / GCP / Azure, Bedrock, Vertex AI 𝗛𝗼𝘄 𝘄𝗲'𝗹𝗹 𝘄𝗼𝗿𝗸: 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆: you share goals, constraints, and sample data. I propose a lean plan and success criteria. 𝗣𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲 𝗳𝗮𝘀𝘁: a working baseline in days, not weeks; we measure, iterate, and cut what doesn't matter. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻𝗶𝘇𝗲: clean code, tests, containers, infra as needed; handover docs and dashboards so your team isn't guessing later. 𝗔𝗳𝘁𝗲𝗿𝗰𝗮𝗿𝗲: I monitor models, handle drift, and plan upgrades on a sensible cadence. 𝗧𝗲𝗰𝗵 𝗜 𝘂𝘀𝗲 𝗮 𝗹𝗼𝘁: Python (Pandas, NumPy, scikit-learn, XGBoost / LightGBM) • PyTorch • TensorFlow / Keras • Hugging Face • spaCy • OpenCV • FastAPI / Django / Flask • React, Next.js, TypeScript, Vue.js • Node.js, Express • PostgreSQL, MongoDB, MySQL, Redis, Kafka • LangChain / LlamaIndex / LangGraph • Pinecone / Weaviate / FAISS • Docker / Kubernetes / Terraform • MLflow • Airflow • Databricks • SageMaker / Bedrock / Vertex AI • n8n • GCP / AWS / Azure 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱: Healthcare | Finance/FinTech | E-commerce/D2C | SaaS | Manufacturing | Logistics | Startups/Scale-ups If you need a partner who can 𝘀𝗵𝗶𝗽, not just explore notebooks or push pixels, send a short note with your goal and a sentence about your data. I'll reply with one or two practical paths, costs, risks, and a realistic timeline, so you can decide quickly.

I help startups, SaaS companies, agencies, and growing businesses transform ideas into AI-powered products, scalable software platforms, intelligent automation systems, and modern web development that drive growth, improve efficiency, and create measurable business value. As an AI and Full-Stack Developer with 8+ years of experience, I specialize in building AI-powered applications, AI Agents, workflow automation systems, SaaS platforms, APIs, customer-facing products, React Native Mobile Apps, and business-critical software solutions. My focus is not just writing code but understanding business objectives and delivering scalable technology that solves real-world problems. Unlike many AI developers who focus only on prompts, models, or integrations, I bring expertise across the entire product lifecycle. From AI architecture and automation workflows to API development, backend systems, frontend applications, cloud infrastructure, and deployment, I can build the complete product from concept to production. My expertise includes: • AI-Powered Applications & AI Integration • AI Automation & AI Workflow Automation • AI API Integration & Custom AI Solutions • AI Agents, Multi-Agent Systems & Autonomous Workflows • ChatGPT Integration & Conversational AI • AI Chatbot Development & Customer Support Automation • Document Processing, OCR & Intelligent Data Extraction • Scalable AI Systems & Enterprise AI Solutions • Software Development & Product Engineering • Web Application Development & SaaS Platforms • API Development, API Integration & Backend Architecture • Admin Dashboards, Internal Tools & Business Platforms • UI Development & Responsive Design • React.js, Next.js & Modern Frontend Engineering • Python, FastAPI, Node.js & Scalable Backend Systems • AWS Cloud Infrastructure & Deployment Architecture • Android App Development • iOS Development I regularly work with modern AI technologies, including OpenAI, ChatGPT, Gemini, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, Knowledge Systems, Semantic Search, AI Agents, and intelligent workflow automation platforms. A significant part of my work involves helping businesses automate repetitive processes, reduce operational costs, and improve productivity through AI Automation and Workflow Automation. I design automation ecosystems that connect AI systems with CRMs, databases, internal tools, customer support systems, reporting platforms, and business workflows. I also specialize in API Development and Integration, helping companies build secure, scalable, and high-performance API ecosystems. Whether it's connecting AI models, SaaS products, payment gateways, CRMs, or enterprise systems, I design reliable integrations that allow software platforms to scale efficiently. My experience includes integrating: • OpenAI API, Gemini API & Custom AI Models • Stripe, PayPal, Twilio, Google Maps & Third-Party APIs • HubSpot, Salesforce, GoHighLevel & CRM Platforms • Enterprise Systems, Analytics Platforms & Internal Business Tools Beyond AI and automation, I build complete software products including SaaS applications, customer portals, marketplaces, admin dashboards, internal business tools, and API-driven platforms. My technology stack includes JavaScript, React, Next.js, TypeScript, PHP, FastAPI, Node.js, PostgreSQL, MongoDB, Firebase, MySQL, Supabase, GraphQL, REST APIs, Docker, AWS, and modern cloud-native architectures. To accelerate product development while maintaining engineering quality, I leverage modern AI-assisted development workflows using Cursor, Claude, Replit, Lovable, GitHub Copilot, and other AI-native development tools. This allows me to rapidly build MVPs, validate products, reduce development timelines, and deliver production-ready software faster. I regularly help businesses: • Build AI-powered SaaS platforms • Develop AI Agents and intelligent assistants • Launch MVPs and validate new products • Integrate AI into existing applications • Automate customer support and business operations • Create scalable APIs and backend systems • Build custom web applications and dashboards • Streamline workflows through automation • Develop secure, scalable, production-ready software Whether you're building an AI startup, launching a SaaS product, developing a custom web application, creating AI-powered customer experiences, automating business processes, or scaling an existing platform, I can help transform your vision into a reliable, scalable, and production-ready solution.

Hi 👋 I'm Nisar, a senior software engineer with 12+ years of experience, primarily in Python backend systems, with the last several years specializing in AI and Machine Learning systems, including LLMs, Retrieval-Augmented Generation (RAG), and AI Agents. Along the way, I've also served as a Fractional CTO and AI/ML Team Lead. I help startups and product teams design, build, and scale software by combining practical AI implementation with strong software engineering. Whether you're launching an AI-first MVP, integrating Generative AI into an existing platform, or scaling an AI SaaS product, I focus on delivering reliable, maintainable solutions built for real-world use. My background spans AI and SaaS products across FinTech, HealthTech, PropTech, EdTech, and MarTech. Across these industries, I've built enterprise applications, automation systems, APIs, and cloud-native platforms, taking them from early-stage MVPs to large-scale production systems. 𝐋𝐋𝐌 & 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 I build end-to-end LLM applications using OpenAI (GPT-4o), Claude, Gemini, Llama, and Mistral. My core expertise includes: → Retrieval-Augmented Generation (RAG) over documents, databases, and enterprise knowledge bases → AI Assistants, AI Copilots, AI Agents & Multi-Agent Workflows using LangChain, LangGraph, LlamaIndex & AutoGen → Prompt Engineering, Function Calling, Structured Outputs & LLM Evaluation → Semantic Search, Knowledge Retrieval & Intelligent Workflow Automation 𝐏𝐲𝐭𝐡𝐨𝐧 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐂𝐥𝐨𝐮𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Successful AI products depend on strong software engineering. My core backend expertise includes: → Python (FastAPI, Django & Flask) → REST & GraphQL APIs → Async Services, Microservices & Event-Driven Architecture → PostgreSQL, MySQL, MongoDB & Redis → Docker, Kubernetes & CI/CD Pipelines → AWS, Microsoft Azure & Google Cloud Platform → Clean Architecture, Secure Authentication & API Documentation When projects require it, I'm also comfortable contributing across the stack with React, Next.js, and TypeScript. 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐌𝐋𝐎𝐩𝐬 Beyond LLM applications, I build and deploy production-ready machine learning systems, including: → Machine Learning & Deep Learning using PyTorch, TensorFlow, Hugging Face, Scikit-learn, Pandas & NumPy → Predictive Analytics, Classification, Regression, Clustering, Anomaly Detection & Time-Series Forecasting → Recommendation Systems & Intelligent Decision Models → Computer Vision using OpenCV, YOLO, CNNs & Vision Transformers → MLflow & Apache Airflow for model deployment, experiment tracking & production ML pipelines 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 & 𝐍𝐋𝐏 I develop AI-powered voice, language, and document processing solutions, including: → Voice AI Agents using Whisper, Deepgram, AssemblyAI, ElevenLabs, VAPI & Retell AI → Speech-to-Text (STT), Text-to-Speech (TTS) & Natural Language Processing (NLP) → OCR, Document Processing & Information Extraction 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡 Delivering successful AI products takes more than integrating an LLM. It requires solid architecture, thoughtful engineering, and systems that remain reliable as products evolve. ✔ End-to-end ownership, from architecture and development through deployment ✔ Clean, maintainable, and well-tested code ✔ Practical engineering decisions that balance performance, maintainability, and business goals ✔ Clear communication throughout the project lifecycle ✔ I write the code myself and work directly with clients from discovery to delivery 📩 𝐋𝐞𝐭'𝐬 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 Whether you're launching an AI-first product, enhancing an existing platform, or exploring new AI capabilities, I'd be glad to learn more about your project. Send me a brief overview of your goals, current stage, and technical requirements, and I'll let you know how I'd approach the solution.

Hello, I’m Ali Mukhtar. I build Python-based quantitative finance systems for firms, startups, and serious traders who need reliable infrastructure for research, backtesting, analytics, and execution. My work sits at the intersection of quant logic and production engineering. I’ve built trading platforms and finance products with FastAPI, pandas, NumPy, TA-Lib, backtrader, PostgreSQL, Redis, CCXT, Alpaca, Polygon, and AWS, including systems for backtesting, options analytics, market data pipelines, execution workflows, and performance reporting. I’m a strong fit if you need help with: ✅ Backtesting engines with realistic assumptions such as commissions, slippage, PnL, Sharpe, drawdown, and portfolio-level metrics ✅ Strategy research infrastructure using Python, pandas, NumPy, TA-Lib, and custom rule/indicator pipelines ✅ Execution and market data systems using APIs, WebSockets, async processing, and exchange/broker integrations ✅ Risk and performance analytics including trade attribution, fill analysis, reporting, and custom metrics ✅ Finance dashboards and APIs for trading, options, and market intelligence platforms ✅ Scalable backend systems built with FastAPI, PostgreSQL, Redis, multiprocessing, and cloud deployment A few examples of the systems I’ve worked on: Built backtesting platforms with realistic trade lifecycle handling, commission/slippage modeling, and 50+ performance/risk metrics Built strategy builder APIs that allow stacking indicators and testing systematic logic across historical data Built options and market analytics dashboards using Alpaca and Polygon data, including Greeks, IV, open interest, GEX, vanna, and charm views Built execution-analysis pipelines in Python to measure fill quality, VWAP, slippage, latency impact, and symbol-specific virtual fee models Built scalable trading infrastructure with isolated processes, async data ingestion, secure auth, and production deployment on AWS / Docker / Kubernetes I’m usually not the right fit for: Generic “quick script” work with no research depth Projects that ignore execution realism, slippage, or proper validation Lowest-cost shopping where engineering quality is secondary What you can expect from me: ✅ Finance-aware implementation, not just generic backend code ✅ Clean, maintainable Python code and well-structured APIs ✅ Realistic backtesting and analytics instead of inflated results ✅ Clear communication and thoughtful technical decisions ✅ A builder who understands both quant requirements and production constraints 🚀 Ready to build something serious? 📩 Send me a message and let's discuss how we can build something exceptional together!

Hi there! 👋 Passionate about Odoo, Python, and AI, and always excited to help businesses grow with the right tech solution. I am an Odoo Functional Certified Developer and Python Developer with 5 years of experience building intelligent, scalable, and business-focused ERP solutions. I help companies manage their operations, automate manual work, and implement complete Odoo systems tailored to their exact workflow. I have delivered Odoo projects for businesses of all sizes and across all industries. From custom module development to workflow automation and API integration, I handle end-to-end Odoo implementation from planning to deployment. Before writing a single line of code, I take time to listen, ask the right questions, and make sure the solution fits the exact workflow, not just the brief. What I bring to every project is clear communication, honest timelines, and a genuine desire to deliver something the client is truly proud of. 𝗠𝘆 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: • Odoo ERP, Community and Enterprise v14, v15, v16, v17, v18, v19 • Python 3, Django, Flask, REST API • AI and ML, OpenAI API, TensorFlow, Keras, Scikit-learn • NumPy, Pandas, Matplotlib • HTML5, CSS3, JavaScript • PostgreSQL, MySQL • AWS, Google Cloud Platform • Git, GitHub, GitLab, Bitbucket 𝗠𝘆 𝗢𝗱𝗼𝗼 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝒔: Odoo SaaS • Custom Modules • Odoo Migration • ERP Implementation • Support & Maintenance • Odoo Consulting • Website Development • Application Development • API Integration • Cloud Deployment 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗦𝗲𝗿𝘃𝗲𝗱 𝘄𝗶𝘁𝗵 𝗢𝗱𝗼𝗼 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Manufacturing • Education • Healthcare • Real Estate • Retail • Wholesale • Hospitality • eCommerce • Logistics & Transportation • Supply Chain and Storage • Services 𝗦𝗼𝗺𝗲 𝗗𝗲𝘁𝗮𝗶𝗹𝘀 𝗔𝗯𝗼𝘂𝘁 𝗠𝘆 𝗢𝗱𝗼𝗼 𝗪𝗼𝗿𝗸 : → I can help with any kind of module development in Odoo v14 to v19, both Community and Enterprise editions. → I can develop new custom modules and modify standard modules using proper Odoo inheritance concepts, keeping everything clean and upgrade-friendly. → I can integrate AI-powered chatbots into Odoo using the OpenAI API, allowing businesses to automate customer support and internal workflows directly within their ERP system. → I can build AI-based forecasting models that connect with Odoo Sales, Inventory, and Accounting modules to give businesses real-time predictions and smarter decision-making. → I can help with both technical and functional Odoo support so you always have one reliable person who understands the full picture. → I can help with Odoo server setup and deployment, including Nginx and Apache configuration, port forwarding, and cloud hosting on AWS and Google Cloud. 𝗖𝗼𝘂𝗻𝘁𝗿𝗶𝗲𝘀 𝗜 𝗛𝗮𝘃𝗲 𝗪𝗼𝗿𝗸𝗲𝗱 𝗪𝗶𝘁𝗵: 🌍 India • Canada • Australia • Germany • South Africa • Portugal • Thailand • Switzerland • France • Philippines • USA • Saudi Arabia • Jordan • Dubai, UAE • Afghanistan 𝗔𝗜 𝙖𝙣𝙙 𝗠𝗟 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: • AI-powered Odoo chatbots using the OpenAI and ChatGPT API • AI-based sales and inventory forecasting inside Odoo • Machine learning models for demand planning and business intelligence • Odoo workflow automation using AI to reduce manual work • Smart reporting and data insights powered by AI 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: • Custom web application development with Python, Django, and Flask • REST API development and third-party system integration • Frontend development with HTML5, CSS3 and JavaScript • Cloud infrastructure setup and deployment on AWS and GCP • Database design and optimization with PostgreSQL and MySQL Beyond technical power, I am a highly communicative and collaborative partner, committed to understanding your unique requirements and exceeding your expectations. Let's talk Odoo! Contact me to discuss your project and see how I can be your development partner.

𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝘁𝗵𝗮𝘁 𝗵𝗼𝗹𝗱𝘀 𝘂𝗽 𝗶𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗶𝘀 𝗵𝗮𝗿𝗱𝗲𝗿 𝘁𝗵𝗮𝗻 𝗶𝘁 𝗹𝗼𝗼𝗸𝘀. 𝗜 𝗱𝗼 𝗶𝘁 𝗲𝘃𝗲𝗿𝘆 𝗱𝗮𝘆. 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗣𝘆𝘁𝗵𝗼𝗻 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗮𝗻𝗱 𝗔𝗜-𝗲𝗻𝗮𝗯𝗹𝗲𝗱 𝗦𝗮𝗮𝗦 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 designed for real production use - not demos or short-lived prototypes. My work covers the complete backend layer: application architecture, FastAPI and Django APIs, AI model integrations, database design, third-party services, serverless workflows, and deployment. Whether you are building a new product, converting an MVP into a production-ready platform, or improving an existing backend, I focus on systems that are secure, maintainable, reliable, and built to scale without a full rewrite every six months. 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 𝗣𝘆𝘁𝗵𝗼𝗻 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Django, FastAPI, and Flask backends covering REST APIs, GraphQL, microservices, and serverless applications using AWS Lambda and API Gateway. Clean architecture, proper database design with PostgreSQL, MongoDB, and Redis, and CI/CD pipelines that make deployments reliable instead of stressful. 𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 AI model integrations, RAG pipelines, LLM-powered features, and automation workflows built directly into backend systems using LangChain, OpenAI, and vector databases to connect AI capabilities with real business data. 𝗦𝗮𝗮𝗦 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 & 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗔𝗣𝗜𝘀 Production-ready SaaS backends with multi-tenant architecture, subscription systems, third-party integrations, and the infrastructure to handle real users at real scale. 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 & 𝗥𝗲𝗳𝗮𝗰𝘁𝗼𝗿𝗶𝗻𝗴 Slow APIs, unreliable systems, and backends that were built for an MVP but never upgraded. I audit, restructure, and rebuild what is not working without disrupting what already is. 𝗠𝗬 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥𝗜𝗡𝗚 𝗔𝗣𝗣𝗥𝗢𝗔𝗖𝗛 I begin by understanding the product workflow, users, data requirements, integrations, and expected traffic before touching a line of code. From there, I define a practical architecture, build modular services, structure databases for performance, and document everything for future development and handoff. The goal is not to overengineer. It is to build the right foundation for the current stage while keeping future growth manageable. 𝗪𝗛𝗘𝗡 𝗜'𝗠 𝗔 𝗚𝗢𝗢𝗗 𝗙𝗜𝗧 If you need a Python backend for a SaaS or AI product, an MVP that is ready for production, APIs that are faster and easier to maintain, AI capabilities connected to real business data, AWS deployment or serverless architecture, or an existing backend that needs restructuring or optimization, we will likely be a good fit. 𝗧𝗘𝗖𝗛𝗡𝗢𝗟𝗢𝗚𝗬 𝗦𝗧𝗔𝗖𝗞 Python · Django · FastAPI · Flask · REST APIs · GraphQL · PostgreSQL · MySQL · MongoDB · Redis · AWS EC2 · Lambda · S3 · RDS · API Gateway · Docker · Kubernetes · GitHub Actions · GitLab CI · LangChain · OpenAI API If you are building or improving a Python backend or AI-powered SaaS, send me a brief overview of your product, current stack, and the main challenge you are facing. I'll tell you exactly how I would approach it. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 AI Engineer, Backend Developer, Python Developer, FastAPI Developer, Django Developer, Flask Developer, SaaS Development, Backend Development, API Development, REST API, GraphQL, AI Integration, API Integration, Microservices, PostgreSQL, MongoDB, Redis, AWS, Serverless Architecture, Docker, Kubernetes, CI/CD, Database Development, and Cloud Deployment