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As a data professional with 10+ years of experience, I specialise in delivering impactful analytics platforms, scalable data engineering solutions, and innovative AI applications to solve complex business challenges across different industries and company sizes. Project Highlights: - Developed an AI-powered QA scoring system using GPT-4 to evaluate thousands of daily patient-practitioner chat transcripts, ensuring clinical accuracy and service quality at scale - Designed and implemented a global diabetes survey analytics platform, combining BigQuery, dbt, and Looker Studio for actionable health insights - Developed a robust credit risk model using Python and scikit-learn, deployed via API to handle real-time loan risk calculations for a financial services company - Built a scalable and high performing data analytics platform for a market leading real estate platform hosted in Google Cloud and BigQuery, designed to process and manage billions of data points per month Skills and Technologies: Data Engineering -- dbt, Docker, Spark, Databricks, Kubernetes, Airflow, Flyte/Union, Meltano, GraphDB Cloud -- GCP (BigQuery, Cloud Run, App Engine, Vertex AI), AWS (Redshift, Glue, App Runner, Bedrock AI) Code -- Python, SQL, pySpark, GraphQL, R, Bash, Git, Pandas AI/Data Science -- OpenAI, LLMs, Sci-kit Learn, Spark ML, Langchain, N8N, Pinecone Data Analytics -- Looker, Looker Studio, Metabase, Plotly, Segment, Mixpanel, Google Tag Manager

Experienced as a Full Stack Developer for 8+ years. Currently working on building ETL Pipelines and SQL report generation and Infrastructure as Code using terraform. Interested in opportunities that challenge and reward existing skill set. Key Skills  Gained Experience in Working on AWS Platform  Building Pyspark / Pandas ETL AWS Glue jobs or AWS Lambdas  Building Nifi Flows  Generating SQL Reports  Creating Python Flask APIs with SQLAlchemy and Kafka  Deploying Docker containers  Enhance Midwich SaaS Monitoring platform with snippets built using Python to interface with REST /SOAP APIs of leading Audio Visual Vendor Equipment , ITSM Cloud Providers and Microsoft Azure.  Custom API Development using FLASK and DJANGO.  Experience Working on Full Stack Web Development in Flask and Django  Experience Working on Full Stack Web Development in Laravel/CodeIgniter  Experienced in Python ,PHP, REST API, REACT , SOAP, HTML/CSS , JS,AJAX , C#,LAMP Stack Architecture , JQuery, Bootstrap 5.0.  Experience creating Mobile App backend in Python  Integrate with industry leading ITSM Cloud providers such as Salesforce, ServiceNow, JIRA, ZendDesk, FreshService using REST API.  Knowledge of Full Stack JavaScript Development including Node.js, Express.js, Node Package Manager)  Knowledge of MVC Framework and Code Igniter / Laravel as a Framework  WordPress using Page Builders e.g Divi , Elementor , Beaver Builder , WPBakery , Visual Composer etc  WordPress custom Theme Development and plugin Development.  Version Control Software like Git and SVN using Github and BitBucket for storing the repositories  Relational Database Design and Development in MySQL and PostgreSQL  Experience with project management systems like Basecamp, JIRA, Slack.

I help startups and scaling teams build AI-powered Python systems, including agentic AI systems, LLM integrations, RAG pipelines, production backend APIs, and ML infrastructure. G'day, I'm a Senior Full-Stack Python AI Engineer with over 7 years of experience building SaaS products, backend systems, and AI features that run in real applications. I’ve built multiple products that reached Y Combinator (YC) proving my ability to turn ideas into scalable, investor-backed startups. A lot of my work sits on the backend. I design APIs, services, and system architecture using Python frameworks like FastAPI, Django, and Flask. I care quite a bit about clean architecture, well-structured APIs, and systems that are easy for teams to maintain months or years down the line, not just something that works for a demo. Over the past few years, a big part of my work has also been integrating AI capabilities into real products. That means building production-ready LLM integrations, RAG pipelines, and agentic AI systems. I work with LLMs such as OpenAI's GPT models, Claude, and Gemini, and I build multi-step AI agents, agentic workflows, RAG pipelines, chatbots, internal knowledge assistants, and ML features that support real business workflows. The focus is always on making these systems reliable and predictable inside production environments. I've also worked across the machine learning engineering lifecycle when projects require it. That includes building data pipelines, training models, exposing them through APIs, and setting up monitoring so the system keeps behaving as expected after deployment. On the infrastructure side, I usually deploy services using Docker and cloud platforms like AWS or GCP. That includes setting up CI/CD pipelines, containerized deployments, scalable ML inference systems, and monitoring so teams have visibility into how things are running. Over time I've worked with companies across several industries including SaaS, fintech, edtech, logistics, real estate, healthcare, retail, gaming, and media platforms. Technologies I work with regularly Backend and APIs: Python, FastAPI, Django, Flask, REST APIs, GraphQL, SQLAlchemy, Pydantic, Asyncio, Microservices Architecture, API Integrations Frontend: React, Next.js, Tailwind CSS AI, LLM Integration and Intelligent Systems: OpenAI (GPT-5, GPT-5.2), Claude, Gemini, LangChain, LlamaIndex, LangGraph, Agentic AI, AI Agents, Agentic Workflows, RAG Pipeline Development, Chatbots, Knowledge Assistants, Prompt Orchestration Machine Learning and Data Science: PyTorch, TensorFlow, scikit-learn, XGBoost, LightGBM, Hugging Face, OpenCV, Pandas, NumPy, SciPy Vector Databases and Embeddings: Pinecone, Weaviate, FAISS, Vector Embeddings, Semantic Search Databases and Data Systems: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Kafka, Data Modeling and Query Optimization Background Processing and Distributed Tasks: Celery, Redis Queues, Async Workers, Scheduled Jobs ML Infrastructure and Data Pipelines: Airflow, Feast, MLflow, DVC, Feature Pipelines, Experiment Tracking, Model Versioning Cloud and Infrastructure: Docker, Kubernetes, Terraform, AWS (EC2, ECS, Lambda, S3, RDS, SageMaker, ECR, API Gateway), GCP (Cloud Run, Vertex AI, GCS, BigQuery) Monitoring and DevOps: Prometheus, Grafana, OpenTelemetry, GitHub Actions, GitLab CI, CI/CD Pipelines If you're looking for a Python AI engineer who can take your backend systems, LLM integration, agentic AI workflows, or RAG pipeline from idea to production, share what you're building and I'll give you a direct take on the best path forward. Python | FastAPI | Django | Flask | REST API | API Development | Backend Development | Backend API Development | Microservices | Software Architecture | System Design | Distributed Systems | Scalable Systems | High Performance Systems | SaaS Development | API Integration | GraphQL | SQLAlchemy | Pydantic | Asyncio | PostgreSQL | MySQL | MongoDB | Redis | Elasticsearch | Database Design | Query Optimization | Artificial Intelligence | Generative AI | Large Language Models | LLM | OpenAI API | GPT-4 | GPT-5 | Claude | Gemini | LangChain | LlamaIndex | LangGraph | AI Agents | Agentic AI | Agentic Workflows | AI Chatbot Development | Chatbot Development | Conversational AI | Prompt Engineering | Prompt Optimization | RAG | Retrieval Augmented Generation | Vector Database | Vector Search | Pinecone | Weaviate | FAISS | Semantic Search | Embeddings | Knowledge Base Systems | Knowledge Assistants | Document AI | Information Retrieval | Search Systems | Hybrid Search | Data Indexing | Machine Learning | Deep Learning | PyTorch | TensorFlow | scikit-learn | XGBoost | LightGBM

I help mid-market companies automate business processes and build scalable cloud solutions using Microsoft Power Platform and Azure services. Recent projects: - Built enterprise agricultural ERP managing multi-farm operations, inventory, and dual distribution channels with real-time reporting (31+ reports) - Developed Power Apps solution for transportation/logistics with automated invoice workflows and Dynamics GP integration - Designed comprehensive authentication platform with passwordless FIDO2, multi-factor auth, and OAuth 2.0 provider capabilities - Created serverless email automation system using Azure Functions and Microsoft Graph API for real-time email processing and workflow triggers - Created Real Estate Lifecycle Management System using .NET 8, Blazor, and microservices architecture BUSINESS PROCESS AUTOMATION Power Apps (Canvas & Model-Driven), Power Automate, Dataverse, Power BI Custom workflows, approval processes, document automation CLOUD & DATA INTEGRATION Azure: Data Factory, Functions, Service Bus, API Management, Logic Apps, Databricks Data migration, ETL pipelines, microservices architecture, API development BACKEND DEVELOPMENT 24 years .NET experience: C#, .NET Core 8, ASP.NET, Web API, Entity Framework SQL Server, Oracle, MongoDB | Python, Node.js INDUSTRIES I SERVE ✓ Agriculture & Food Production (greenhouse operations, supply chain) ✓ Transportation & Logistics (fleet management, invoicing, operations) ✓ Real Estate (lifecycle management, property operations) ✓ Utilities (metering, ERP integration, power platform) ✓ Government (data migration, database optimization) WORKING WITH ME Based in Melbourne, Australia (AEST timezone) Available 30+ hours per week Fast turnaround on proposals and communication Fluent English Microsoft Certified: Azure Data Engineer, Power Platform App Maker

I'm a assistant professor and web developer with Data Engineer experienced and in building websites for small and medium-sized businesses. And make any student real time projects Whether you're trying to win work, list your services, or create a new online store, I can help. •Knows HTML and CSS3, Bootstrap, python and SQL (DBMS) •Full project management from start to finish •Regular communication is important to me, so let's keep in touch.

🚀 AI Systems & Automation — Built for Real-World Use (Not Just Demos) I design and build production-grade AI systems that actually solve business problems - not just prototypes that look good in a demo. I work at the intersection of: AI / LLMs (ChatGPT, Claude) backend systems (Python, APIs, workflows) real-world operations (automation, decision systems, internal tools) Currently, I lead AI system design in a large enterprise environment, where we’re building agent-based automation workflows to process complex, messy data (documents, images, unstructured inputs) at scale. --- 🧠 What I’m Best At I don’t just “use AI” — I design systems around it. 1. AI Assistants & Copilots Internal tools that: search knowledge bases generate structured outputs assist teams with daily work RAG-based systems (retrieval + LLM) 👉 Example: Built an AI analytics assistant that generates SQL + insights from natural language queries --- 2. Workflow Automation (Where AI Actually Pays Off) Automating processes like: document handling support workflows decision pipelines 👉 Example: Built an AI system that reduced manual handling time by 80%+ --- 3. Document AI & Data Extraction Extract structured data from: PDFs forms images inconsistent formats 👉 Used in regulated environments where accuracy matters --- 4. AI-Driven Scoring & Matching Systems Ranking, prioritisation, and decision systems Perfect for: recruitment lead scoring marketplaces internal workflows --- 5. End-to-End AI Products I can build the full system: backend (Python / FastAPI / Django) AI layer (OpenAI, LLM workflows) UI (Streamlit or simple web apps) data storage (Postgres, etc.) --- 🛠️ Tech Stack Python, SQL OpenAI / LLMs / RAG FastAPI, Django, Streamlit Postgres, Snowflake, Databricks AWS / Azure Docker --- 🧩 How I Work I don’t overengineer. I typically: 1. Understand the real problem (not just the feature request) 2. Build a simple but strong first version 3. Add AI where it actually adds value 4. Make sure it’s usable, scalable, and maintainable --- 🏡 Bonus: Real Estate AI Product I also built PropertySignal.au — an AI-enabled suburb research platform that helps analyse property markets using data and modelling. --- 🤝 When I’m a Good Fit You’ll get the most value from me if you: want to build something real, not experimental need both AI + backend/system thinking care about quality, clarity, and long-term usability --- 💬 Let’s Talk If you have an idea, even if it’s rough - feel free to reach out. I’m happy to help shape it into something practical. and type of clients, I can tune this to maximise conversion.