Ahmad PourReza

AI Software Developer at Hotspex

Implemented LLM stack in Azure Cloud and local environments using open-source models trained on company data with an emphasis on privacy. Developed a web application stack for brand health tracking data analytics using multi-agent frameworks and AI SDKs. Built robust RAG Agents including SQL agents and dynamic planning agents for research-based analytics. Delivered AI applications from development to production in Azure, including CI/CD pipelines, testing, error handling, monitoring, scalability, and APIs. Utilized multiple Azure resources like Functions, ACR, AKS, Web Service, Search Index, AI Foundry, Cosmos DB, SQL, and Blob Storage.

Software Developer | Machine Learning Engineer at Adinux

Developed a comprehensive dashboard for data processing and visualization using React.js and Python Django, implementing data aggregation and real-time analytics for business KPI insights and CMS. Designed and developed around seven mini software products for trade show applications leveraging Qt Creator, MS SQL, and PyQt for data collection and customer engagement. Integrated AI chatbots powered by Llama and GPT 3.5, fine-tuned with company data and prompt engineering techniques to support attendee interactions.

Software Developer at The Railways of Iran (RAI)

Designed a data analysis dashboard for equipment maintenance improving efficiency by 40% using VB scripts in Excel. Supported software and hardware maintenance with user troubleshooting. Developed organizational software for equipment documentation and real-time fault reporting using Python (PyQt) and MySQL, creating APIs for data communication which reduced troubleshooting time by 24%. Applied deep learning models such as RNN, LSTM, and Forward Neural Networks to forecast failures and classify faults. Used decision trees to recommend maintenance solutions, improving accuracy by 33%.

Software Developer at Usensi Solution Inc

Engineered and developed backend systems including menus, payment, receipt, entertainment, and feedback for dining platforms using Python and SQL, delivering scalable solutions which improved restaurant customer satisfaction by 66%.

AI Software Developer at Hotspex

Implemented an LLM stack in Azure Cloud and on a local machine using open-source models trained with company data, with a backend in FastAPI and a React frontend. Built a brand health data analytics web app deployed via CI/CD with GitHub Actions. Implemented a multi-agent framework (OpenAI Agents SDK, LangGraph/LangChain, Crew AI) for RAG agents with memory, planning, and a dynamic states planner. Led end-to-end AI application development from development to production in Azure, leveraging resources such as Azure Functions, ACR, AKS, Azure Web Service, Azure Search Index, Cosmos DB, Azure SQL, and Blob Storage.

Software Developer / Machine Learning Engineer at Adinux

Developed a comprehensive dashboard for data processing and visualization using React.js and Django, implementing data aggregation and real-time analytics to support business KPIs. Designed and built about seven mini software products for fair-show applications (CMS, data collection, attendee engagement, product catalog). Integrated AI chatbots (Llama model & GPT-3.5) into customer support, fine-tuned the LLM with company data, and applied prompt engineering (zero-shot prompting). Backend in FastAPI and frontend in React.

Software Developer at The Railways of Iran (RAI)

Designed a data analysis dashboard for equipment maintenance, increasing efficiency by 40% using VB scripts in Excel. Supported organizational software and hardware maintenance and troubleshooting. Designed and developed an organizational software for electronic equipment documentation and real-time fault reporting using Python (PyQt) and MySQL, plus an API for data registration and maintenance database, reducing troubleshooting time by 24%. Applied deep learning and ML models (RNN, LSTM) to analyze and forecast failures and equipment health, including forward neural networks for failure classification and decision trees to recommend solutions, improving maintenance accuracy by 33%.

Software Developer at Usensi Solution Inc

Engineered backend systems for dining platforms (Menu, Payment, Receipt, Entertainment, Feedback) with Python and SQL, delivering reliable and scalable solutions and driving a significant rise in restaurant customer satisfaction.

AI Software Developer at Hotspex

Implemented an LLM stack in Azure Cloud and on local machines using open-source models trained on company data with a strong emphasis on privacy. Built a FastAPI backend and a React (TypeScript) frontend. Deployed a brand health data analytics stack using the multi-agent framework (OpenAI Agents SDK), LangGraph (LangChain), and Crew AI. Developed robust RAG agents, memory-enabled analytics agents, and a dynamic states planner. Established CI/CD with GitHub Actions; leveraged Azure Functions, ACR, AKS, Azure Web Service, Azure Search Index, Azure AI Foundry, Cosmos DB, Azure SQL, and Blob Storage to deliver scalable AI applications with monitoring and error handling.

Software Developer, Machine Learning Engineer at Adinux

Developed a data processing and visualization dashboard (React.js + Django) with real-time analytics for business KPIs and a CMS. Designed and delivered seven mini software products for fair show applications (Qt Creator, MS SQL Server, Python/PyQt) for attendee engagement and catalog sharing. Integrated AI chatbots (LLM: Llama, GPT-3.5) into customer support, fine-tuned on company data, and applied zero-shot prompting. Backend API built with FastAPI; frontend with React.

Software Developer at The Railways of Iran (RAI)

Designed a data analysis dashboard for equipment maintenance, increasing efficiency by 40% using VB scripts in Excel. Developed organizational software for electronic equipment documentation and real-time fault reporting using Python (PyQt) and MySQL, with an API for data registration and database interactions, reducing troubleshooting time by 24%. Applied deep learning models (RNN/LSTM) for failure forecasting, Forward Neural Network for classification, and decision trees to recommend solutions, totaling a 33% improvement in maintenance accuracy.

Software Developer at Usensi Solution Inc

Engineered backend systems for dining platforms (Menu, Payment, Receipt, Entertainment, feedback) with Python and SQL, delivering reliable and scalable solutions that improved restaurant customer satisfaction by 66%.

AI Software Developer at Hotspex

Implemented an Azure‑based LLM stack and local open‑source models with privacy‑focused data handling. Built the backend with FastAPI and a React (TypeScript) frontend. Deployed a brand health analytics web application on Azure using multi‑agent frameworks (OpenAI Agents SDK, LangGraph/LangChain, Crew AI) and implemented RAG with memory and planning capabilities, plus a dynamic state planner. Established CI/CD pipelines with GitHub Actions and delivered scalable APIs with monitoring and error handling.

Software Developer / Machine Learning Engineer at Adinux

Led full‑stack development of a data processing dashboard (React frontend, Django backend) for real‑time analytics and business KPIs. Designed and delivered ~7 mini software products for fair/show applications (Qt Creator, MS SQL, Python). Integrated AI chatbots (LLM: Llama, GPT‑3.5) for attendee engagement, fine‑tuned with company data, and applied prompt engineering techniques (zero‑shot prompting).

Software Developer at The Railways of Iran (RAI)

Designed a data analysis dashboard for equipment maintenance, increasing efficiency by 40% using VB scripts in Excel. Developed organizational software for electronic equipment documentation and real‑time fault reporting using Python (PyQt) and MySQL, with an API to connect data registries and maintenance databases. Applied deep learning models (RNN/LSTM) for failure forecasting and health monitoring, and used Forward Neural Network for failure classification with decision trees to recommend solutions.

Software Developer at Usensi Solution Inc

Engineered backend systems for dining platforms (Menu, Payment, Receipt, Entertainment, Feedback) with Python and SQL, delivering reliable and scalable solutions and contributing to a 66% uplift in restaurant customer satisfaction.

AI Software Developer at Hotspex

Implemented an LLM stack in Azure Cloud and on local machines with open-source models focused on privacy. Built backend with FastAPI and frontend with React; developed a multi-agent analytics platform for brand health tracking using LangChain/LangGraph, OpenAI Agents SDK, and Crew AI; implemented RAG agents with memory, planning, and dynamic state planning; established CI/CD in GitHub Actions and deployed resources on Azure (Functions, AKS, ACR, Cosmos DB, Azure SQL, Blob Storage) to production.

Software Developer | Machine Learning Engineer at Adinux

Developed a dashboard for data processing and visualization using React.js and Django; implemented data aggregation and real-time analytics for business KPIs; designed and built ~7 mini SaaS products for fair/show applications; integrated AI chatbots (Llama, GPT-3.5) with fine-tuning on company data and prompt engineering.

Software Developer at The Railways of Iran (RAI)

Designed a data analysis dashboard for equipment maintenance, increasing efficiency by 40% using VBScript in Excel; developed software for electronic equipment documentation with Python (PyQt) and MySQL, and created an API for data registration and database interaction, reducing troubleshooting time by 24%; applied deep learning models (RNN/LSTM) for failure forecasting and classification improving maintenance accuracy by 33%.