Kunal Daga

Software Engineer @ KLA | CS @ Georgia Tech

San Francisco Bay Area

About

Experience

  • Software Engineer at KLA
    Feb 2026 - Present · 6 mos

  • Graduate Teaching Assistant - Natural Language Processing at Georgia Institute of Technology
    Aug 2025 - Dec 2025 · 5 mos

  • Software Engineer Intern at KLA
    May 2025 - Aug 2025 · 4 mos

    - Developed a modular algorithm for black border classification and distance mapping using R-tree spatial indexing and connected component analysis, enabling automated focus correction in eBeam-based reticle inspection systems - Optimized image acquisition and inspection workflows by implementing multithreaded spatial processing and synchronization, achieving a speedup of ~32% for real-time inspection use cases in high-throughput eBeam systems - Integrated algorithm into RSARTE modeling software, ensuring seamless data flow through the software stack, and validating functionality across simulators and live inspection tools to support real-time focus correction.

  • Georgia Institute of Technology ()
    • Graduate Teaching Assistant - Prototyping Intelligent Devices
      Jan 2025 - May 2025 · 5 mos

      - Guided 60 students in circuit prototyping, microcontroller programming & device development through skill demos - Mentored teams in designing and implementing semester-long projects and fostered inventive problem-solving skills - Created 9 labs that test basic circuitry, pulse width modulation, communication protocols, & interrupts mastery.

    • Undergraduate Teaching Assistant - Computer Systems and Organisation
      Jan 2023 - Dec 2024 · 2 yrs

      - Led weekly office hours to accommodate 200 students with special day-long sessions for course review. - Created lab slides and guides, homework, quizzes, and exams on Digital Logic, LC-3 processor, assembly, and C. - Wrote Python testing scripts to auto-grade submissions for LC-3 assembly and C programming assignments.

    • Student Peer Tutor
      Aug 2022 - Dec 2022 · 5 mos

      - Tutored NCAA athletes for introductory Math courses like Calculus I and II

  • Machine Learning Intern at Graphen
    May 2024 - Aug 2024 · 4 mos

    - Developed a 3D-CNN model to predict future instability in experimental Nuclear Fusion chambers using spatiotemporal features from a live video feed, reducing technical monitoring hours by 60%. - Identified salient features using advanced data visualisation techniques such as Class Activation Maps and Feature Importance, and applied heuristic methods to improve model evaluation and interpretability. - Deployed face tracking and emotion detection on an AI-powered video kiosk by layering MediaPipe and DeepFace libraries, tracking 10+ emotions and maintaining object permanence for every individual in the frame.