I build intelligent software systems at the intersection of Artificial Intelligence, Backend Engineering, and Applied Machine Learning.

My work spans LLM-powered applications, backend APIs, reinforcement learning, medical imaging software, RFID-based warehouse management systems, and blockchain development. I enjoy turning complex technical challenges into practical, reliable, and maintainable software.

I'm particularly interested in building systems that connect AI models, data infrastructure, APIs, and real-world applications.

• Languages: Python, Go, SQL, JavaScript, TypeScript, Solidity
• Frameworks: FastAPI, Django, Django REST Framework
• API Development: RESTful APIs, Authentication & Authorization, API Integration, Request Validation, Error Handling
• Databases: PostgreSQL, SQL, Relational Database Design, Data Modeling
• Software Design: SOLID Principles, Modular Architecture, Separation of Concerns, Clean Code
• Tools: Git, GitHub, Linux, WSL, Debugging, Automated Testing

• LLM Engineering: Retrieval-Augmented Generation (RAG), Prompt Engineering, Embeddings, Semantic Search
• Local AI: LM Studio, Local LLM Inference, Model Integration, Vector-Based Retrieval
• Machine Learning: PyTorch, NumPy, Data Processing, Model Integration
• Reinforcement Learning: DQN, PPO, SAC, Actor-Critic Methods, Policy Optimization
• Speech Processing: Vosk, Persian Speech Recognition
• Computer Vision: OpenCV, Image Processing
• Research Interests: LLM Systems, AI Agents, Intelligent Automation, AI for Financial Markets

• Frontend: React, Vite, JavaScript, TypeScript
• Desktop Applications: PyQt6, Tkinter
• Integration: Frontend–Backend Communication, API-Driven Applications, Internationalization (i18n), Right-to-Left (RTL) Interfaces

• Containerization: Docker
• Operating Systems: Linux, Windows, WSL
• Version Control: Git, GitHub
• Networking: TCP/IP, Client–Server Architecture, Network Configuration
• Integration: Hardware–Software Integration, Windows APIs, Device Communication

• Smart Contracts: Solidity
• Development Tools: Hardhat
• Oracles: Chainlink Data Feeds
• Ecosystem: Ethereum, Sepolia Testnet
• Interests: Decentralized Applications, Smart Contract Testing, Oracle-Based Systems

• Medical Imaging: DICOM, pydicom, pynetdicom, DICOM Networking, Image Processing
• Printing Systems: Windows Printing APIs, Printer Driver Integration, Print Job Processing
• RFID Technology: UHF RFID, RFID Readers, Barcode Integration, EPC Processing
• Enterprise Systems: Warehouse Management Systems (WMS), Inventory Management, Warehouse Zoning, Alerting, Data Import/Export

Building AI applications that combine local language models, semantic retrieval, and backend services.

• Developing RAG pipelines with embedding-based retrieval.
• Integrating locally hosted language models through LM Studio APIs.
• Working with Persian-language embedding models and speech recognition.
• Building AI-powered applications using FastAPI, React, and PostgreSQL.

Stack: Python · FastAPI · React · PostgreSQL · LM Studio · PyTorch · Vosk

Developing a Windows desktop application for medical imaging workflows and DICOM-compatible printing.

• Implementing DICOM communication and image processing with pynetdicom and pydicom.
• Building configurable print workflows using Windows printing APIs.
• Implementing printer profiles and configuration management based on DICOM AE Titles.
• Working on interoperability with medical imaging systems and printer drivers.

Stack: Python · PyQt6 · pydicom · pynetdicom · Windows APIs

Contributing to an enterprise Warehouse Management System that combines inventory management, warehouse zoning, and RFID-based identification.

• Developing backend services with Django REST Framework.
• Integrating a React + Vite frontend with PostgreSQL.
• Working with UHF RFID readers, barcode workflows, and Zebra label printers.
• Implementing inventory identification, alerting, data management, and import/export functionality.
• Supporting Persian/English localization and RTL interfaces.

Stack: Python · Django REST Framework · React · Vite · PostgreSQL · RFID

Exploring reinforcement learning techniques for financial decision-making and trade execution.

• Studying DQN, PPO, and SAC algorithms.
• Investigating Actor-Critic architectures and policy optimization.
• Exploring optimal trade execution and quantitative trading strategies.
• Researching applications of reinforcement learning to financial market data.

Stack: Python · PyTorch · Reinforcement Learning · Financial Data Analysis

Developing and testing Ethereum smart contracts with oracle integration.

• Building smart contracts using Solidity and Hardhat.
• Integrating Chainlink ETH/USD price feeds.
• Implementing USD-denominated validation requirements.
• Testing smart contract behavior on the Sepolia testnet.

Stack: Solidity · Hardhat · Chainlink · Ethereum

Building Python utilities that integrate software workflows with physical printing hardware.

• Integrating printer drivers and Windows printing APIs.
• Developing printer-locking functionality based on consumable status.
• Automating printer configuration and device communication.
• Troubleshooting hardware, network, and driver compatibility issues.

Stack: Python · Tkinter · Windows APIs · Printer DLLs · Networking

• Practical Problem Solving: Building software around real-world requirements.
• Maintainable Architecture: Designing modular, testable, and understandable systems.
• AI with Purpose: Applying machine learning to meaningful engineering problems.
• System Integration: Connecting AI models, APIs, databases, and physical devices.
• Continuous Learning: Exploring new technologies while strengthening engineering fundamentals.

• Advanced LLM application architecture and retrieval systems
• Reinforcement Learning for financial modeling and decision-making
• Go and efficient backend system development
• Scalable backend architectures and software engineering practices
• Blockchain oracles and decentralized financial applications

I'm interested in collaborating on projects involving Artificial Intelligence, Backend Engineering, Machine Learning, LLM Applications, and Innovative Software Systems.

• GitHub: @amirtahamim
• Telegram: @tTux_Tech

Building useful software. Exploring intelligent systems. Engineering solutions that matter.