hasheminsafo
About Candidate
AI Engineer specializing in Generative AI and Machine Learning, with hands-on experience designing, building, and deploying end-to-end AI systems. Skilled in deep learning, classical ML, and generative AI workflows, including LLMs, NLP, AI agents, and RAG architectures. Experienced in developing real-time fault detection pipelines, improving system efficiency, and delivering practical AI solutions through cross-functional collaboration and applied problem-solving.
Location
Education
CGPA 3.3
Work & Experience
Built and deployed autonomous AI agents using LLMs and TypeScript to automate tasks such as content generation and post scheduling. Leveraged OpenAI API for natural language understanding and automating article creation workflows. Managed version control and deployment via GitHub
Led a team of 3 to develop a Real-Time Electrical Fault Detection System using Local Outlier Factor and Random Forest models, improving system reliability and detection accuracy. Processed and analyzed time-series sensors data from simulated 3-phase systems and presented results via an interactive Flask dashboard. Designed an efficient ML pipeline, including low-latency inference, signal preprocessing, and model integration, demonstrating practical problem-solving skills.
