Curriculum vitae

  • 2025 – 2026

    Imperial College London

    London, UK

    MSc Computing (Security & Reliability).

  • 2021 – 2025

    University of California, Berkeley

    Berkeley, CA

    B.A., Computer Science. GPA: 3.7/4.0

  • 2025 —

    Co-Founder and CTO

    Clusy Inc.

    San Francisco, CA

    Learn more

  • 2025 —

    Postgraduate Researcher

    Imperial College London

    London, UK

    Working on distributed systems for LLM training.
    Learn more

  • 2024 – 2025

    Research and Development Lead

    CS Education R&D Group, UC Berkeley EECS

    Berkeley, CA

    Led a team of six in Prof. Dan Garcia’s group building GradeView, a cloud-native six-microservice platform (Flask, React, Node.js, Redis) on GCP, with CI/CD and a custom ETL analytics pipeline, deployed in CS10 across three terms for 750+ students.

  • 2023 – 2025

    Undergraduate Researcher

    ACE Lab, UC Berkeley EECS

    Berkeley, CA

    Built GCUI and IGAT — open-source PrairieLearn tools for constructing and assessing graphs. GCUI grades submissions in under 100ms and improved grading efficiency 15×; IGAT user studies with 100+ students reached 86% satisfaction. Papers at SIGCSE TS 2025 and CompEd 2025.

  • 2024

    Research Assistant (LLM / ML)

    University of Southern California

    Los Angeles, CA

    Built style-guide compliance classifiers with logistic regression, BERT, Hugging Face, and OpenAI, raising accuracy from 53% to 88%; applied PEFT and a 100,000+ synthetic dataset; trained and deployed models on HPC clusters.

  • 2023 – 2024

    Software Engineering Intern

    1PR

    New York, NY

  • 2023

    Software Engineering Intern

    Anthems Music Sharing

    San Francisco, CA

  • 2021 – 2022

    Undergraduate Research Assistant (ML)

    Space Sciences Laboratory, UC Berkeley

    Berkeley, CA

    Analysed interstellar dust from NASA’s Stardust Mission with computer vision and TensorFlow classifiers; refined EDS training data for a convolutional neural network autograder.

  • CheckWork: Enabling Trace-Driven Analysis of Checkpointing Overhead in Distributed ML Training

    E. Hasanov, A. Sefiane, A. Farshin, M. Kogias

    Proceedings of the 10th Asia-Pacific Workshop on Networking (APNet 2026), Singapore, 2026

  • An Instructor Dashboard to Support Mastery Learning

    S. Mantripragada, E. Hasanov, A. Hacker, W. Zhang, S. Hilkey, J. Ponce de Leon, D. Garcia

    Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2 (SIGCSE TS 2026), pp. 1443–1444, 2026

  • A Direct Manipulation User Interface for Constructing Autogradable Graphs

    C. Rau, E. Hasanov, N. Norouzi, D. Garcia, A. Fox

    Proceedings of the ACM Global Computing Education Conference V.2 (CompEd 2025), Gaborone, Botswana, pp. 390–391, 2025

  • An Interactive Tool for Randomized Autogradable Graph Assessments

    E. Hasanov, D. Ahluwalia, D. Garcia, N. Norouzi, A. Fox

    Proceedings of the 56th ACM Technical Symposium on Computer Science Education V.2 (SIGCSE TS 2025), Pittsburgh, PA, pp. 1471–1472, 2025

  • 2026

    IC Trust and OCT awards for outstanding postgraduate publication

  • 2025

    1st place (55 finalist teams), IDDA Hackathon 2 — team StarLabs, Loanify.ai (Tenity & IDDA)

  • 2025

    Top 5 of 500+ participants, UK Agentic AI Hackathon — clusy.io (Google, Claude, DEG, Cambridge, Imperial, et al.)

  • 2025

    Best Technical Execution, Imperial Learning Analytics Hackathon — Imperium (Imperial & NUS)

  • 2025

    3rd place, Netcraft Security Challenge (Netcoin), London

  • 2025

    1st place, CulTech 2025 Hackathon — SnapBite (SUP VC, Baku)