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AI Engineer with less than a year in LLM Fine-tuning & RAG Pipeline Development
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AI/ML-focused software developer with experience in LLM fine-tuning, model deployment, and RAG pipeline development. Strong foundation in backend engineering, OOP, Data Structures, and SDLC, seeking to build scalable AI solutions within high-impact teams.
Helwan University
Bachelor's degree in computer science · Computer Science & Artificial Intelligence
August 1, 2020 – June 30, 2024
Electro PI
Junior AI Engineer
January 1, 2026 – Present
India
ITIDA Gigs
Trainee
October 1, 2025 – December 31, 2025
India
Zewail City of science and technology
Teaching Assistant
September 1, 2024 – December 31, 2025
India
Neuronetix company
ML Virtual Intern
August 1, 2024 – October 31, 2024
India
Ischool company
Coding & AI Instructor
July 1, 2024 – October 31, 2024
India
AliaTeck
Backend Trainee
September 1, 2023 – November 30, 2023
India
Misr insurance company
Data Analysis Trainee
July 1, 2022 – September 30, 2022
India
Information Retrieval System
June 30, 2026 – Present
Built a document retrieval system in Python supporting search and indexing over text collections.
Software Engineering Projects
June 30, 2026 – Present
Designed and implemented multiple backend-driven systems—including a Hotel Management System (Scala) | Auction and Clinic Management Systems (Node.js, React, MySQL) | and a Cinema Ticket Booking System | Bug Tracking system (Java)—applying SOLID principles, microservices architecture, Docker, and advanced concurrency control (reader-writer problem, deadlock and starvation handling).
AI Voice assistant with RAG
June 30, 2026 – Present
Built a real-time AI voice assistant using LiveKit, Google Gemini Live API, and FAISS for Retrieval-Augmented Generation, with a FastAPI token server and React simple interface.
View ProjectLangGraph-Based Multi-Agent Research Pipeline
June 30, 2026 – Present
Developed a multi-agent system simulating multiple AI analysts conducting autonomous interviews, performing web and document retrieval, and synthesizing insights into structured research reports.
View ProjectDeep Learning & ML Projects
June 30, 2026 – Present
Multiclass classification of Alzheimer's stages (CNN) | Automated object detection (ANN) | Machine translation (RNN) | Flower species recognition (ANN + SVM) | Customers credit card prediction (Logistic Regression + SVM) | LeNet-5 on MNIST (Keras) | Handwritten digit recognition | Spam classification | Multilabel classification of scientific papers.
View ProjectFind Missing People System
June 30, 2026 – Present
Applied StyleGAN2 life-span model for age regression and progression to reconstruct aged or younger faces. Used MTCNN and FaceNet models for robust face detection and recognition. Integrated all three models into a unified pipeline, achieving notably improved recognition accuracy.
View ProjectHotel Data Analysis
June 30, 2026 – Present
Analyzed hotel booking data and built interactive dashboards visualizing revenue, occupancy, and customer behavior to support pricing and marketing decisions.
Searching assistant
June 30, 2026 – Present
Assistant that answers questions from uploaded documents and falls back to YouTube links when no relevant answer is found.
View ProjectAugment your LLM Using RAG
Nvidia
June 30, 2026 – Present
Working with Hugging Face
DataCamp
June 30, 2026 – Present
Deep Learning
Stanford University Online course
June 30, 2026 – Present
AI Fundamentals
Microsoft Azure
June 30, 2026 – Present
LangGraph Course
LangChain Academy
June 30, 2026 – Present
Generative AI Explained
Nvidia
June 30, 2026 – Present
Introduction to LLMs in Python
DataCamp
June 30, 2026 – Present
Multi AI Agent Systems with CrewAI
DeepLearning.AI
June 30, 2026 – Present
Building AI Voice Agents for Production using LiveKit
DeepLearning.AI
June 30, 2026 – Present
Building RAG Agents with LLMs
Nvidia
June 30, 2026 – Present
Machine Learning
Stanford University Online course
June 30, 2026 – Present
Semantic Caching for AI Agents
DeepLearning.AI
June 30, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project background, including freelance, personal, and academic projects, indicates a strong drive for continuous learning and exploration beyond formal employment. The experience in teaching and mentoring roles suggests a collaborative mindset and a willingness to contribute to team growth. The breadth of skills across programming languages, AI frameworks, and software development principles aligns well with a dynamic, innovation-focused environment. The candidate's proactive engagement with certifications in cutting-edge AI topics further reinforces a strong cultural fit for a role requiring continuous skill development and staying abreast of industry trends.
Soft Skills & Operational Fit
The candidate's experience as a Teaching Assistant and Instructor suggests strong communication and pedagogical skills, which are beneficial for team collaboration and knowledge sharing. Project descriptions indicate an ability to work on diverse tasks and integrate various technologies, pointing to adaptability and problem-solving skills. The freelance and personal projects demonstrate initiative and a proactive approach to learning and applying new technologies.