Abdurhman Abuhelal
AI Engineer @ PathLLM.ai
Professional Summary
AI Engineer and Fullstack Engineer from Palestine with a strong foundation in backend development and a passion for building scalable, innovative solutions. Currently working at PathLLM.ai, where I restructure the agentic platform to make agents fully modular and workflow-independent, build multimodal RAG-driven pipelines, and implement event-driven Lambda-based components to help the system scale and handle higher workloads.
Previously, I worked as a Fullstack Engineer at FALAK Solutions, developing scalable React components with TypeScript and implementing state management using Redux. I also have extensive experience as a Backend Engineer at EXALT Technologies, where I developed and maintained RESTful APIs using Spring Boot, designed relational database schemas with Hibernate and JPA, and implemented robust authentication mechanisms with Spring Security and JWT.
My journey includes an AI Engineer Internship at Robert Bosch GmbH in Germany, where I utilized LangChain and Django for LLM engineering and developed a Chrome extension with efficient RAG techniques. I graduated from Al-Quds University with a Bachelor's in Information Technology, ranking as the top student in my major with a GPA of 93.5% and making the President's Honor List for all semesters. I also founded the AQU Coding Club and participated in an exchange program at Malardalens University in Sweden.
Education
Bachelor in Information Technology
Sep 2020 - Sep 2024
Exchange Student Program
Jan 2022 - June 2022
Professional Experience
AI Engineer
PathLLM.ai
- Restructured PathLLM agentic platform to make agents fully modular and workflow-independent, allowing any chain configuration without rewriting logic
- Enhanced PathLLM agentic platform by adding structured schemas, and instructions, improving prompt data formatting, and increasing output reliability
- Built multimodal, RAG-driven pipelines in Python, integrating documents and S3 assets into agent workflows and orchestrating different models per use case
- Implemented components of the new event-driven Lambda-based agentic platform, helping the system scale and handle higher workloads
- Worked closely with the QA team to validate pipelines, troubleshoot agent behavior, and ensure smooth integration with content and data processes
Fullstack Engineer
FALAK Solutions
- Designed and developed scalable React Components with clean code for a modern enterprise system
- Utilized TypeScript to ensure robust, type-safe codebases and enhance application scalability
- Implemented state management using Redux and integrated backend APIs to enable efficient data flow
- Responsible for reviewing UI bugs and ensuring adherence to standards and high-quality user interfaces
- Responsible for hotfixes on backend APIs for the ERP using Spring Boot, Hibernate and PostgreSQL
Backend Engineer
EXALT Technologies
- Developed and maintained RESTful APIs using Spring Boot for internal backend projects at EXALT
- Designed a relational database schema using Hibernate and JPA for the systems, which involved mapping over 50 entities to SQL tables
- Created efficient queries that optimized data retrieval
- Implemented robust authentication and authorization mechanisms in Spring Security, including JWT
- Worked on a secure React routing mechanism for the portals and created the components and UI pages
- Conducted unit testing on all RESTful APIs using JUnit, achieving 70% test coverage for service layers
- Collaborated with a team of frontend developers to integrate these APIs into the React-based application
- Engaged in daily scrum meetings to ensure project alignment and team collaboration
AI Engineer Intern
Robert Bosch GmbH
- Utilized frameworks such as LangChain and Django for LLM engineering
- Developed a Chrome extension with efficient retrieval-augmented generation (RAG) techniques