S

Said Lfagrouche

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Computer Science @ Brooklyn College | SWE Intern @ XR Safety Initiative | Cornell Tech BTT AI | MLT CP Fellow '25 | ANY Fellow | Color Stack Fellow
United States

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Résumé


Jobs verified_user 0% verified
  • Stealth
    Python Developer
    Stealth
    May 2025 - Current (1 year 6 months)
  • City Tech, CUNY
    Lead AI Engineer, Campus AI Community
    City Tech, CUNY
    Dec 2024 - Current (1 year 11 months)
    — Engineered AI-driven web scraping with Firecrawler to extract educational resources, delivering real-time insights that boosted data accuracy by 25% and served 1000+ CUNY undergrad students monthly — Mentor team members and drove innovation by deploying AI NLP chatbots using LangChain, MongoDB, and AWS SageMaker—streamlining support, boosting engagement by 40%, and achieving 95% accuracy
  • Apple
    Apple Pathways Alliance Scholar
    Apple
    Sep 2024 - Current (2 years 2 months)
    — Selected for an exclusive Apple community; accelerated professional growth by actively engaging in 20+ targeted workshops & leveraging unique resources to sharpen technical & professional skills. — Gained strategic career insights & industry trend awareness through direct 1:1 mentorship sessions & insightful Coffee Chats with Apple employees, informing personal development trajectory.
  • Computer Software Solutions LLC
    Backend Engineer
    Computer Software Solutions LLC
    Nov 2024 - Jun 2025 (8 months)
    — Engineered Java/Spring Boot microservices for ReviewProbe.com, implementing CI/CD pipelines with Docker and Kubernetes that reduced deployment failures by 85%. — Architected an ML-powered resume parsing system using NLP techniques, increasing candidate matching accuracy by 35% and reducing manual review time by 8 hours weekly. — Drove MongoDB optimization initiatives that decreased query response times by 65%, while implementing SonarQube testing that achieved 85% code coverage.
  • AI4ALL
    Machine Leaning Fellow at AI4ALL
    AI4ALL
    Sep 2024 - Mar 2025 (7 months)
    — Developed a facial emotion recognition system using SVMs and CNN models that classified 7 emotions with 92% accuracy across 35,000+ images. — Implemented data augmentation and feature engineering techniques that reduced bias by 40% and improved model performance on underrepresented classes. — Collaborated with Meta and Microsoft AI engineers to optimize model architecture, reducing inference time by 75% while maintaining accuracy benchmarks.
  • S
    Founder
    SafeGuard: Crisis Monitoring & Alert Platform
    Aug 2024 - Aug 2025 (1 year 1 month)
    — Founded a life-saving incident reporting app using Django and AWS, integrating AI agents with RAG to send alerts, cutting emergency response times by 30% for 1000+ users. — Engineered LangChain-based verification agents that cut false positives by 73%, helping emergency responders prioritize genuine incidents and coordinate faster, more effectively. — Designed scalable DynamoDB/EC2/S3 backend infrastructure handling 200+ concurrent users with sub-200ms response times while maintaining reliability and performance.
  • Salesforce
    Software Engineer Intern
    Salesforce
    Jun 2024 - Aug 2024 (3 months)
    CRM Data Cloud Solutions Team
  • CodePath
    Tech Fellow
    CodePath
    Mar 2024 - Apr 2024 (2 months)
    — Accelerated professional development via CodePath's intensive program, honing technical problem-solving, communication, and collaboration skills within a diverse cohort for peak industry readiness. — Cultivated leadership potential and gained crucial industry insights by networking with professionals and tackling complex, real-world tech challenges in team-based lab environments.
  • CUNY Tech Prep
    Data Science Fellow
    CUNY Tech Prep
    Aug 2023 - May 2024 (10 months)
    — Developed PyTorch DNNs using NLP/BoW for Amazon rating prediction; achieved 90% accuracy on 5.4GB data, demonstrating potential for enhancing personalized user recommendations & trust. — Executed large-scale NLP data processing (5.4GB text) within a competitive fellowship, enabling robust feature engineering & accelerating model development cycles for prediction tasks. — Presented model's predictive capabilities, effectively communicating complex DNN/NLP results & highlighting potential business value in extracting meaningful patterns from user reviews.
  • Nordstrom
    Nspire Tech Program Intern
    Nordstrom
    Aug 2023 - Sep 2023 (2 months)
    — Selected for competitive Nordstrom Nspire Program (top 4%); gained direct exposure to enterprise software engineering practices & agile team operations through senior engineer shadowing. — Contributed to developing an innovative full-text product search engine feature for Nordstrom's website, aiming to directly enhance user experience & product discoverability online. — Engaged in technical workshops & networking, building foundational knowledge of large-scale e-commerce systems & reinforcing skills relevant to delivering user-facing features.
  • Bloomberg
    Bloomberg Accelerator Summer School (BASS) Fellow
    Bloomberg
    Jun 2023 - Jul 2023 (2 months)
    — Selected for Bloomberg Accelerator Summer School; gained valuable insights into Bloomberg's engineering culture & rigorous technical interview processes through focused workshops. — Enhanced technical problem-solving & communication skills tailored for fintech environments, preparing for high-stakes interviews & contributing effectively in demanding settings.
  • Break Through Tech
    AI and Machine Learning Fellow
    Break Through Tech
    May 2023 - Jan 2024 (9 months)
    — Led NLP analysis of Russia-Ukraine conflict tweets for Guidehouse AI Studio project; identified key trends/priorities, aiming to improve humanitarian response efficiency & resource allocation. — Designed, trained, & deployed ML models using industry tools on real-world data; focused on performance optimization to ensure actionable insights for complex global challenges. — Applied advanced data analysis techniques to refine ML models, enhancing scalability & impact, demonstrating ability to deliver robust solutions for real-world data science problems.
  • Management Leadership for Tomorrow
    Software Engineering Fellow - MLT Career Prep '25
    Management Leadership for Tomorrow
    Jan 2023 - Dec 2024 (2 years)
    — Completed MLT's highly selective 2-year Career Prep SWE fellowship; mastered in-demand software engineering skills through rigorous training designed for accelerated tech career trajectories. — Leveraged access to an elite network of 2100+ alumni & top tech firms; gained direct industry immersion & hands-on experience during the CP Tech Trek v2 boot camp in Silicon Valley.
  • XRSI
    Software Engineer Intern
    XRSI
    Jan 2023 - Jun 2023 (6 months)
    — Architected high-performance REST APIs in Python with a WordPress headless CMS for XR safety features—optimizing efficiency by 20%, serving 50+ stakeholders — Streamlined SQL queries and database indexing, reducing data retrieval time by 30% for 10K+ daily requests, executed a pytest/Jenkins CI/CD pipeline achieving 90% test coverage & reducing bugs by 40% through tests
  • Citi
    Citi Early ID Technology Leadership Participant
    Citi
    Jan 2023 - Apr 2023 (4 months)
    — Completed Citi's intensive 5-week Early ID Tech Leadership Program; gained deep fintech insights & hands-on familiarity with Cloud, Data Analytics, AI via immersive workshops. — Achieved 98% success rate in technical training assessments, demonstrating rapid learning ability & effective application of new technologies relevant to the financial services industry.
  • Green Guerillas
    Environmental Tech Intern
    Green Guerillas
    Nov 2022 - May 2023 (7 months)
    — Implemented data tracking systems & web-based tools (WordPress) for Green Guerillas, enhancing program monitoring efficiency & improving data-driven community outreach strategies. — Collaborated with diverse stakeholders to develop & execute sustainable environmental solutions, leveraging tech tools to support project goals & community engagement efforts. — Organized impactful community events & facilitated discussions, strengthening communication & leadership skills critical for driving awareness & implementing environmental initiatives.
  • Brooklyn College
    Administrative Assistant
    Brooklyn College
    Aug 2022 - Jan 2023 (6 months)
    — Increased office productivity by 25% through implementing an enhanced Microsoft Excel system for task management, directly saving time & operational costs for the department. — Managed diverse administrative duties including scheduling & liaising between departments; ensured smooth office operations & efficient handling of confidential information. — Successfully coordinated & executed departmental events with high attendance, demonstrating strong organizational skills & ability to manage logistics for positive outcomes.
  • Management Leadership for Tomorrow
    MLT Ascend Scholar
    Management Leadership for Tomorrow
    May 2022 - Nov 2022 (7 months)
    — Selected for MLT Ascend Scholar program based on leadership potential; received targeted coaching focused on college success & career readiness for high-impact roles in technology. — Actively engaged in mentorship & development activities, honing professional skills & strategic planning abilities essential for leveraging technology for social impact initiatives.
Education verified_user 0% verified
  • Brooklyn College
    bachelor, Bachelor's degree Computer Science
    Brooklyn College
  • AI4ALL
    AI4ALL Ignite accelerator Artificial Intelligence / Data Science
    AI4ALL
    Jan 2024 - Jan 2025 (1 year 1 month)
  • Cornell University
    Machine Learning Foundations Certification Artificial Intelligence
    Cornell University
    Jan 2023
  • I
    High School Diploma
    International High School At Lafayette
    Jan 2017 - Jan 2021 (4 years 1 month)
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