AI Engineer with 3+ years in Machine Learning & Deep Learning
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To secure a challenging role that leverages my skills and experience in the field of AI, enabling me to contribute to the development of cutting-edge technologies.With a solid foundation in AI and a passion for staying up-to-date with the latest industry trends, I am a hardworking and enthusiastic individual with a strong aptitude for logical and analytical thinking, and I am eager to apply my expertise to create innovative solutions that drive business success.
Cairo University
Bachelor Degree of Electronics and Communication Engineering · Electronics and Communication Engineering
August 1, 2016 – June 30, 2021
Omega Wireless
RF Data Scientist
April 1, 2025 – Present
India
Samsung Innovation Campus
AI facilitator
July 1, 2024 – November 1, 2024
India
Arete Global
R&D AI Engineer
June 1, 2023 – August 1, 2024
India
National Telecommunication institute
AI trainee
February 1, 2023 – May 1, 2023
India
Samsung Innovation Campus
AI trainee
July 1, 2022 – November 1, 2022
India
AI Integration Engineer – Tripkliq
April 1, 2025 – December 1, 2025
Built an Al-powered chatbot for a travel platform by scraping flight data and constructing a custom vector database using pgvector and text embeddings. Developed a hybrid RAG-based agent combining semantic and keyword search, integrated prompt engineering with guardrails, and implemented LLM monitoring using Langfuse to track agent performance and response quality. Additionally engineered an image generation pipeline with structured prompt controls.
Business Intelligence Dashboard
May 1, 2024 – May 1, 2024
Created a comprehensive business intelligence dashboard for the Talentino app utilizing LangChain and GPT technology. Leveraged LangChain chains to derive insights from BigQuery data, generating dynamic SQL queries to populate interactive reports and charts in Looker Studio, enhancing data-driven decision-making capabilities within the organization.
Multimodal Speech Emotion Recognition
April 1, 2024 – April 1, 2024
Developed a robust Multimodal Emotion Recognition system that integrates audio and visual data to accurately identify human emotions. Utilizing state-of-the-art technologies, I employed Wav2Vec2 for processing audio signals and 3D ResNet for analyzing video frames. This approach enables the model to capture intricate nuances in both sound and visual expressions, thereby enhancing overall recognition accuracy.
Generative AI with LLMs
Coursera
July 1, 2023 – Present
Intro to Deep Learning with PyTorch
Udacity
June 1, 2023 – Present
Deep learning specialization
Coursera
December 1, 2020 – Present
Machine learning specialization
Coursera
October 1, 2020 – Present
Cultural Fit Analysis
The candidate's project diversity, including AI-powered chatbots, business intelligence dashboards, and multimodal emotion recognition, indicates a broad interest and adaptability in various AI domains. The roles as 'RF Data Scientist' and 'R&D AI Engineer' show a blend of research and practical application. The 'AI facilitator' role suggests an inclination towards mentorship and collaborative environments. However, the relatively short tenure in some roles and the 'AI trainee' positions might suggest a need for more sustained, senior-level project ownership to fully assess cultural fit for a long-term, high-impact role.
Soft Skills & Operational Fit
The candidate's experience as an AI facilitator suggests good communication and teaching skills, which can be beneficial for team collaboration and knowledge sharing. Project descriptions indicate an ability to work on complex, multi-faceted AI solutions. However, the resume does not provide explicit details on problem-solving methodologies, teamwork dynamics, or handling project constraints, which are important for senior-level operational fit.