Iβm EdMan, a Software Engineer and AI/ML Engineer passionate about building scalable software systems, intelligent applications, and AI-powered solutions.
My technical background combines software engineering, backend development, artificial intelligence, machine learning, deep learning, data science, generative AI, LLMs, API development, cloud technologies, web development, and mobile development.
I enjoy transforming complex problems into practical technologyβfrom designing scalable backend systems and APIs to developing machine learning models, LLM applications, AI agents, automation workflows, and intelligent software systems.
Python β’ PyTorch β’ TensorFlow β’ LangGraph β’ FastAPI β’ React β’ TypeScript β’ Node.js β’ Kotlin β’ Swift β’ PostgreSQL β’ MongoDB β’ MySQL β’ Redis β’ Docker β’ Git β’ Linux
- π€ Artificial Intelligence & Machine Learning
- π§ Deep Learning
- π₯ PyTorch & TensorFlow
- π§© Large Language Models (LLMs)
- π LangGraph & AI Agents
- π€ Natural Language Processing (NLP)
- π Data Science & Data Analysis
- π Python Engineering
- β‘ FastAPI & Backend Engineering
- π Full-Stack Software Engineering
- π± Kotlin & Swift
- βοΈ Cloud & DevOps
- π AI Automation
- π€ AI + Robotics
- π± AI + IoT
Iβm focused on developing AI/ML solutions and integrating intelligent systems into production software.
- Python
- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Artificial Intelligence
- Data Science
- Data Analysis
- Feature Engineering
- Predictive Modeling
- Model Training
- Model Evaluation
- Statistical Analysis
- PyTorch
- TensorFlow
- Neural Networks
- Deep Learning
- Model Training & Evaluation
- Computer Vision fundamentals
- NLP applications
- Model experimentation
- Large Language Models (LLMs)
- Generative AI
- Prompt Engineering
- LLM Evaluation
- Retrieval-Augmented Generation (RAG)
- LLM API Integration
- AI-powered applications
- AI automation
- Context-aware AI systems
- LangGraph
- AI Agents
- Agentic Workflows
- LLM Orchestration
- Tool Calling
- Multi-step AI workflows
- State-based AI workflows
- AI Automation
- Intelligent decision workflows
I build scalable, maintainable, secure, and production-oriented software applications.
- Python
- FastAPI
- Node.js
- Express.js
- PHP
- Golang
- RESTful APIs
- API Architecture
- Backend Architecture
- Microservices fundamentals
- JWT
- OAuth
- Authentication & Authorization
- Third-party API integrations
- Payment integrations
- React
- TypeScript
- JavaScript
- Vite
- HTML5
- CSS3
- Responsive Web Applications
- Frontend/API Integration
- Component-based architecture
- Kotlin
- Swift
- Android Development
- iOS Development
- Mobile Application Architecture
- REST API Integration
- Backend Integration
- Mobile application development
- PostgreSQL
- MySQL
- MongoDB
- Redis
- Database Design
- Data Modeling
- Query Optimization fundamentals
- Relational & NoSQL databases
Iβm interested in building and deploying reliable, scalable software and AI systems.
- Docker
- Docker Compose
- Linux
- Git
- GitHub
- CI/CD fundamentals
- Cloud infrastructure
- Cloudflare Tunnel
- Containerized applications
- API deployment
- Production environments
- Raspberry Pi
I enjoy working at the intersection of Software Engineering, AI, Machine Learning, Data, and Automation.
| Area | Technologies |
|---|---|
| π€ AI / ML | Python, Machine Learning, Deep Learning |
| π₯ Deep Learning | PyTorch, TensorFlow |
| π§© Generative AI | LLMs, RAG, Prompt Engineering |
| π AI Agents | LangGraph, Agentic Workflows |
| π€ NLP | Python, NLP, LLMs |
| π Data Science | Python, Data Analysis, Predictive Modeling |
| π» Backend | Python, FastAPI, Node.js |
| π Frontend | React, TypeScript, JavaScript |
| π± Mobile | Kotlin, Swift, Android, iOS |
| ποΈ Databases | PostgreSQL, MongoDB, MySQL, Redis |
| βοΈ DevOps | Docker, Linux, CI/CD |
| π Security | JWT, OAuth, Authentication |
| π³ Integrations | Stripe, MonCash, REST APIs |
| π€ Emerging Technology | AI, Robotics, IoT |
- Build Python-based AI and machine learning applications
- Develop and experiment with machine learning models
- Work with PyTorch and TensorFlow
- Explore NLP and LLM-based applications
- Develop AI-powered automation workflows
- Evaluate AI/ML models and applications
- Integrate ML capabilities into software products
- Build intelligent systems for real-world applications
- Build LLM-powered applications
- Develop Retrieval-Augmented Generation (RAG) systems
- Design prompt engineering workflows
- Build AI agents using LangGraph
- Create agentic workflows
- Implement tool-calling workflows
- Integrate LLM APIs with backend services
- Explore LLM evaluation and AI quality measurement
- Design and build scalable REST APIs
- Develop FastAPI services using Python
- Build Node.js backend applications
- Design database schemas and data models
- Implement authentication and authorization
- Integrate external APIs
- Build payment integrations
- Develop backend services for AI applications
- Build modern React applications
- Develop TypeScript-based interfaces
- Connect frontend applications with backend APIs
- Build scalable web applications
- Design complete software solutions from frontend to backend
- Develop applications using Kotlin
- Develop applications using Swift
- Explore Android application development
- Explore iOS application development
- Integrate mobile applications with REST APIs
- Connect mobile applications to backend services
- Containerize applications using Docker
- Configure Linux-based environments
- Use Git and GitHub for version control
- Build reproducible development environments
- Explore CI/CD pipelines
- Deploy backend and AI services
I believe that great engineers never stop learning.
- π§ Advanced Machine Learning
- π₯ Deep Learning with PyTorch & TensorFlow
- π€ Generative AI
- π§© Large Language Models
- π LangGraph & AI Agents
- π LLM Evaluation
- π Retrieval-Augmented Generation (RAG)
- π€ Natural Language Processing
- π Data Science
- π Advanced Python
- ποΈ Scalable Software Architecture
- β‘ Advanced Backend Engineering
- π Modern Web Architecture
- βοΈ Cloud & AI Infrastructure
- π³ Containerized Applications
- π CI/CD & Automation
- βοΈ AI Automation
- π€ AI + Robotics
- π± AI + IoT
- π± Kotlin & Android
- π Swift & iOS
Build software that solves real problems. Use AI where it creates real value. Learn continuously. Build, test, improve, and ship.
Iβm interested in opportunities where I can combine:
Software Engineering + Artificial Intelligence + Machine Learning + Data + Automation
to build useful, scalable, and intelligent technology.
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Generative AI
- Large Language Models
- AI Agents
- NLP
- Data Science
- Software Engineering
- Backend Engineering
- Cloud Computing
- Automation
- Robotics
- IoT
- Smart Agriculture