- Name: M Arham
- Role: AI Developer
- Experience Type: Contract and Freelance
- Specialization: Production-ready AI applications, LLM-based systems, and scalable backend development
- Core Focus Areas: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-step AI agents, and Python backend systems
Company: SoftEmblems (Remote)
Duration: January 2025 – November 2025
Key Responsibilities and Achievements:
- Delivered AI and software solutions for digital clients
- Designed and implemented advanced AI workflows using LLMs, RAG pipelines, and multi-step agents
- Developed production-grade backend systems using Python and FastAPI
- Built REST API services and managed vector database operations
- Created LLM-powered applications, including AI assistants and automation tools
- Integrated OpenAI API and LangChain for AI task orchestration with conversation memory
- Collaborated with frontend developers to connect AI backends with Next.js and React applications
Company: Freelance / Self-employed
Duration: Ongoing – Present
Key Responsibilities and Achievements:
- Providing AI application development and backend services to startups and individual clients
- Designing and building LLM-powered tools, AI assistants, and REST APIs
- Implementing scalable AI pipelines, vector database integrations, and automation workflows
- Supporting frontend applications by integrating AI features using Next.js and React
- Programming Languages: Python, C++
- Backend Frameworks: FastAPI
- Frontend Technologies: Next.js, React
- AI & LLM Technologies: OpenAI API, LangChain, RAG pipelines
- Databases & Tools: Vector databases, Appwrite
- DevOps & Development Tools: Docker, Git, Postman
- Cloud Platforms: AWS, Google Cloud, Azure
- Focused on building scalable, maintainable, and production-ready AI solutions
- Strong experience collaborating with cross-functional teams
- Emphasis on clear API design, reliable AI pipelines, and real-world usability
- Committed to continuous learning and staying aligned with modern AI and software development practices