Software Engineer Intern with 2+ years of experience in AI/ML-focused software development, specializing in building web and mobile applications. Passionate about creating innovative AI tools for education addressing mental health, focus, and machine learning, with significant achievements in cross-platform Flutter apps and AI NLP systems.
π Currently pursuing: Master of Science in Computer Science and Machine Learning at Georgia Institute of Technology (Expected Feb 2026)
π Location: New York, NY
- Developed a RAG-powered learning system using ChromaDB and Cohere Re-ranking
-
- Enhanced intelligent quiz generation and document analysis capabilities
-
- Designed scalable Flutter/FastAPI architecture with PostgreSQL and Redis
-
- Built comprehensive notification systems with Socket.IO for real-time communication
-
- Established robust CI/CD pipeline with automated testing and multi-platform deployment
-
-
Implemented secure authentication with RTL support and Firebase integration
-
- Provided one-on-one tutoring in calculus and Python/C++ data analysis
-
- Conducted weekly group study sessions with shared coding notebooks and Figma visualizations
-
-
Reinforced class understanding and helped students achieve higher test scores
-
Programming Languages & Frameworks:
-
- Python, TypeScript, JavaScript, Perl, SQL, Go, C/C++
-
Flutter/Dart, React, Next.js, Node.js, FastAPI, Socket.IO, Redux, PostgreSQL
-
AI/ML Expertise:
- RAG (Retrieval-Augmented Generation), Vector Search, Knowledge Graphs, Multimodal Processing
-
LangChain, ChromaDB, Cohere, OpenAI, Groq, Ollama, Replicate, Mistral, Claude, PostgreSQL
-
Tools & DevOps:
-
Docker, Figma, Linux, Firebase, PostgreSQL, Redis, CI/CD, Socket.IO, JWT, OAuth
-
Leadership & Certifications:
- AWS Associate Architect, Stanford University AI Certifications
-
Software development management, cross-platform development
-
Led design of production-ready Multimodal RAG platform for enterprise document intelligence and multimedia knowledge discovery.
- Designed real-time AI processing architecture with FastAPI microservices backend
- Implemented hybrid search combining vector, graph, and keyword retrieval with interactive knowledge graph visualization
-
Delivered CI/CD-enabled, fully tested application with JWT authentication and role-based access control
-
Built adversarial testing framework to mitigate prompt injection attacks in multi-agent LLM systems.
- Developed AI-powered question generation tool using Python, NLP and machine learning models
- Built responsive front-end with Next.js (SSR) and implemented JWT authentication via API routes
-
Utilized NLTK, spaCy for text analysis to generate true/false questions, summarized text, and created multiple-choice quizzes
-
Constructed NLP applications using the Google BERT framework for learning management systems.
- Developed REST API with FastAPI and PostgreSQL for data/learning management
- Deployed full-stack application to AWS/Vercel using Docker, decreasing page load time
-
Delivered CI/CD-enabled, fully tested application with JWT authentication
- π§ Email: [email protected]
- πΌ LinkedIn: linkedin.com/in/abdelghafour-el-bikha
- π Portfolio: abdelelbikha.com
-
π± Phone: +1 347-287-4337
- Advanced Machine Learning techniques
- Multi-agent AI systems
- Enterprise-scale RAG architectures
-
Go and distributed systems
- AI/ML projects, especially in NLP and Computer Vision
- Open-source contributions
- Innovative educational technology solutions
-
Cross-platform mobile applications with Flutter
- π Python and C++ enthusiast
- π₯ Love working with PyTorch, OpenCV, and modern ML frameworks
-
π― Interested in learning Go, Haskell, and Assembly
- π Passionate about building AI tools that make a real-world impact
π‘ Open to opportunities in AI/ML engineering, software development, and innovative tech projects!
-
-