# Elhassan Elboraey > ML @ MSKCC | CS & Business @ Minerva University Location: San Francisco, California, United States Profile: https://flows.cv/elhassan As a Junior at Minerva University, recognized by WURI as the world’s most innovative university, I am passionate about blending technology with business development. My academic journey has been enriched by a rigorous curriculum and practical experiences, particularly in Marketing and Product Management. In my role with Minerva’s Admissions Team, I leverage SQL, Pandas, and machine learning models to analyze data and provide actionable insights. This has honed my technical skills and reinforced my dedication to continuous improvement and innovation. I have led the development of AI-powered solutions, such as a chatbot for Expatrio to assist international students and a dementia prevention app at Infinyx. These experiences, along with market research projects and strategic initiatives for tech startups, have deepened my understanding of strategic planning and data-driven decision-making. Known for my curiosity and drive, I thrive on tackling challenges from multiple perspectives and collaborating with diverse teams to find innovative solutions. I am eager to connect with professionals and organizations that share my passion for consulting, product management, and build impactful products. If you’re looking for a motivated and adaptable team player with a strong foundation in data analysis and project management, let’s connect! ## Work Experience ### AI Engineer @ Memorial Sloan Kettering Cancer Center Jan 2025 – Present | San Francisco Bay Area ●Architected and deployed Virtual Lab, a physician-facing AI platform with FastAPI, real-time streaming, and enterprise SSO, enabling continuous automated document extraction and interactive multi-agent clinical decision workflows. ● Developed a ReAct-based multi-agent orchestration engine with MCP servers and A2A delegation, reducing manual clinical review time by 60%. ● Engineered a GPT-2 pipeline using PyTorch hooks to generate 768-dim patient embeddings from longitudinal notes, enabling EFI-based uncertainty estimation for AI-driven relapse prediction ### AI & Data Engineering Intern (DigITs) @ Memorial Sloan Kettering Cancer Center Jan 2025 – Jan 2025 | New York City Metropolitan Area ● Built an end-to-end Databricks RAG pipeline ingesting 3,000+ clinical PDFs, enabling scalable enterprise knowledge retrieval. ● Optimized Databricks ingestion and embedding pipelines, cutting processing time from 5 days to 20 hours and enabling continuous dataset expansion. ● Implemented query rewriting and chunk reranking, improving answer relevancy by 60% and signal precision by 40%. ### Teaching Assistant (CS162: Intro to Software Development) @ Minerva University Jan 2025 – Jan 2026 ● Led technical coaching and mentorship for a 40-student, project-based software engineering course, teaching core concepts including relational data modeling, RESTful API design, client–server architecture, and MVC patterns ● Guided students through full-stack development using React, Flask, SQL, and ORMs, emphasizing clean architecture, separation of concerns, and maintainable code ● Facilitated office hours and 1:1 debugging sessions focused on query optimization, state management, backend logic, and frontend–backend integration ● Evaluated and graded coursework while delivering actionable feedback on code structure, performance, readability, and correctness ### Software Development Intern @ Minerva University Jan 2024 – Jan 2025 | San Francisco Bay Area ● Developed AI-driven models using K-means clustering and Latent Dirichlet Allocation (LDA) to analyze over 15 datasets, improving the accuracy of admissions decisions by 20% and reducing manual review time by 35%. ● Built an integrity check system to detect duplicate applications, reducing fraudulent entries by 25% and saving 100 hours annually. ● Optimized SQL queries for large-scale data extraction and analysis, leading to a 15% increase in processing efficiency and offering data-driven recommendations to streamline the admissions workflow. ### Member @ ColorStack Jan 2024 – Jan 2024 | United States ### Software Engineering fellow @ Headstarter AI Jan 2024 – Jan 2024 | San Francisco, California, United States ### BEL Intern @ Bain & Company Jan 2024 – Jan 2024 | San Francisco County, California, United States ### Software Engineer Intern @ Expatrio Jan 2024 – Jan 2024 | Berlin, Germany ● Engineered a course recommendation engine using NLP and vector embeddings (Google's gemma-7b-it and V oyageAI), improving matching accuracy by 50% and boosting student enrollments by 25% within three months. ● Designed and implemented a dynamic search interface with real-time course updates, leading to a 30% increase in user satisfaction and a smoother user experience. ● Developed backend architecture for scalable data processing, achieving a 40% improvement in platform responsiveness and optimizing chatbot response time by 20% for seamless integration with MongoDB. ### Software Engineer Intern @ infinyx Co. Jan 2023 – Jan 2023 | Seoul, South Korea ● Designed and deployed a speech-to-text solution using OpenAI’s Whisper API and AWS Transcription, increasing speech recognition accuracy by 50% for a dementia prevention AI app. ● Developed data pipelines and APIs to handle user data securely and efficiently, driving a 35% increase in user engagement. ● Applied Python-based machine learning techniques to analyze user interactions, contributing to a 40% increase in user adoption among Japanese and Korean seniors within the first two months of launch. ### First Gen Focus Fellow @ Capital One Jan 2023 – Jan 2023 ### Data Analyst Intern @ Mobalytics Jan 2023 – Jan 2023 | San Francisco County, California, United States ● Analyzed gameplay data from leading battle royale titles (PUBG, DayZ, Fortnite: STW) using Python and SQL, identifying 5 key areas for product enhancements, leading to a 15% increase in user engagement. ● Utilized data scraping techniques and natural language processing (NLP) to extract community insights from 10+ Discord channels, uncovering an untapped market segment. ### Coaching & Talent Development Team Intern @ Minerva University Jan 2023 – Jan 2023 | San Francisco, California, United States ● Developed 20+ personal and professional development workbooks on Notion, empowering students to explore and excel in their career paths. ● Conducted interviews to assess potential coaching candidates, enhancing the coaching team’s effectiveness. ### Software Engineering Insight Participant @ Goldman Sachs Jan 2023 – Jan 2023 Virtual Insights Series 2023 ### Project Management Intern @ Minerva Project Jan 2022 – Jan 2023 | San Francisco, California, United States ● Implemented an 8-month plan for Minerva’s work-study project to facilitate task delegation and management. ● Established a Notion database to organize and track the progress of 35 interns in the work-study project. ### Product Designer @ Youth SF Jan 2022 – Jan 2023 | San Francisco, California, United States ● Initiated user research efforts in preparation for utilizing gamification to develop public speaking skills. ● Led a team of 5 through the design thinking process by organizing 13 idealization-iteration sessions. ● Designed an educational aesthetic board game to improve public speaking skills for middle school students. ### Marketing Coordinator @ OBM Education Jan 2020 – Jan 2021 | Cairo, Egypt ● Coordinated the marketing campaign of OBM to reach 200,000+ students across Egypt. ● Assisted in increasing the number of the company’s beneficiaries to reach 900,000+. ● Conducted a user research project in Cairo by collecting survey data from 5,000+ students. ● Developed networking and career planning skills for 300 students by creating “Navigate II” Program. - Informed 7,000 students about market necessities and potential career paths by organizing ExploreX 2020. ## Education ### Bachelor's degree in Computer Science and Business Minerva University ### High School Obour STEM school ### Bachelor of Science in Computer Science Minerva University ## Contact & Social - LinkedIn: https://linkedin.com/in/a-e-lhassan - Portfolio: https://alhassanahmed.com/ --- Source: https://flows.cv/elhassan JSON Resume: https://flows.cv/elhassan/resume.json Last updated: 2026-04-13