Highly motivated Senior Software Engineer specializing in enterprise-scale solutions and Artificial Intelligence integration, with expertise in Java microservices, Python for AI/ML, React ecosystem, and multi-agent AI systems. Proven track record of transforming critical projects from failure to success, implementing production-grade monitoring systems, and developing innovative Enterprise AI solutions.

Currently at Amdocs, Raanana with 4+ years of experience building enterprise-scale telecom solutions for tier-one providers. My professional work centers on React frontend development and Java/Spring Boot backend systems, delivering mission-critical production infrastructure.

Beyond my day-to-day work, I'm deeply passionate about AI and intelligent systems. I actively build cutting-edge AI innovations including multi-agent systems, GraphRAG implementations, and enterprise automation platforms.

🎓 B.Sc. in Computer Science & Mathematics from Ariel University (2022, High Distinction)
🏆 Pioneer Award recipient | Multiple Employee of the Month awards
🌍 Fluent in English, Hebrew, and Arabic
📍 Based in Israel

Local Multi-Agent RAG System with GraphRAG, AutoGen & Ollama

A production-ready, privacy-first knowledge discovery platform that combines Microsoft's GraphRAG entity-relationship extraction with AutoGen's multi-agent orchestration. Features extended function-calling support for non-OpenAI LLMs, enabling fully local deployments with Chainlit UI for real-time agent interaction.

GraphRAG AutoGen Ollama Chainlit Python LangChain Supabase NetworkX

Enterprise Multi-Agent AI System with MCP Protocol

Production-grade autonomous task orchestration implementing hierarchical multi-agent architecture. Features specialized agents for code analysis, documentation synthesis, and workflow automation with MCP Protocol for standardized AI-tool communication across Perforce, JIRA, and Confluence.

Python MCP Protocol LangGraph LangChain FastMCP Docker

LangGraph-Powered Deep Research System

Enterprise research automation platform with 63-module LangGraph architecture. Features supervisor-researcher agent pattern, advanced anti-hallucination system with fact checking and multi-agent consensus, plus knowledge graph generation from research findings.

LangGraph LangChain Ollama FAISS Neo4j Next.js Flask

Autonomous Car & Self-Driving System

Computer vision-powered autonomous driving project featuring lane detection, object tracking with DeepSort, and Kalman filtering for vehicle control. Demonstrates deep learning and real-time image processing capabilities.

Python OpenCV DeepSort Kalman Filter Jupyter Notebook

Modern C++ & CUDA Learning Repository

Active learning journey through 130+ exercises covering C++17/20 features, CUDA GPU programming, memory management, and performance-critical algorithms. Focused on building foundational skills for systems programming.

C++ CUDA Algorithms Data Structures

Senior Software Engineer @ Amdocs, Raanana (Mar 2022 – Present)

Tool Development & Innovation

• Full Stack Engineer expert in Java and SpringBoot microservices, React Js, Redux, Next.js, with databases including MySQL, Couchbase, MongoDB, and Supabase
• Engineering innovative developer tools to enhance coding efficiency and streamline defect investigation, improving team productivity in an agile environment

Project Transformation & Leadership

• Played a pivotal role in transforming a critical, at-risk project to successful outcome shortly after joining the team, ensuring timely delivery
• Honored with the Pioneer Award for exceptional innovation and initiative

Performance & Recognition

• Successfully resolved 6 critical one-shot bounces, gaining unanimous commendation from all supervisors for reliability, excellence, and attention to detail
• Consistently acknowledged at annual company summits for contributions to team success
• Achieved threefold salary increase over two years, demonstrating consistent performance and value

B.Sc. in Computer Science & Mathematics | Ariel University (2022)

• High Distinction in Natural Language Processing, Computer Networking
• 90%+ grades in Algorithms, Software Engineering, Advanced C++ Programming
• Dual concentration in Computer Science and Mathematics
• Demonstrated mastery in both theoretical and practical aspects including object-oriented programming principles and fundamental Data Structures

• 🔬 Building production-ready multi-agent AI systems with local LLMs
• 📚 Deepening C++ and CUDA knowledge for performance-critical applications
• 🤖 Exploring advanced RAG architectures and knowledge graph implementations
• 🌐 Contributing to open-source AI/ML tooling

I'm open to opportunities in AI engineering where I can apply my full-stack background and passion for intelligent systems.

⭐ From aimanyounises1 — Senior Software Engineer building AI innovations