Tejas Guha

Quant @ MKTX | ML @ CMU

New York City Metropolitan Area

About

Experience

  • Associate Quantitative Researcher at MarketAxess
    Mar 2026 - Present · 4 mos

    CP+ Pricing Algo

  • Graduate Researcher at Carnegie Mellon University School of Computer Science
    Aug 2024 - Nov 2025 · 1 yr 4 mos

    Under the guidance of Professors Ameet Talwalkar and Nicholas Boffi at CMU and in collaboration with Lester Mackey at Microsoft, I am working on research in subseasonal climate forecasting using adaptive bias correction and generative modeling.

  • Quantitative Researcher Intern at MarketAxess
    Jun 2025 - Aug 2025 · 3 mos

  • Undergraduate Research Assistant at University of Maryland
    Sep 2021 - Sep 2024 · 3 yrs 1 mo

    - Computational Sensorimotors Lab: Modeling how the brain encodes music and poems for listened and imagery stimuli using neural networks. Currently exploring methods to explain predictions from a neural network. Completed undergraduate research thesis to develop a prediction system using heart rate variability quantified from MEG (magnetoencephalography) data to predict the auditory effort a person expends while listening to speech. - Media, Analytics, and Security Team (MAST): Developing multiple Deep Learning approaches to detect defects in PCBs and examining their performance on out-of-distribution examples. Preparing manuscript for submission to ICIP 2025.

  • SDE Intern at Annapurna Labs
    May 2023 - Aug 2023 · 4 mos

    ML Accelerators, SoC SW - Worked on next generation Trainium and Inferentia where I developed embedded software to improve performance of chip tasks by at least 50% - Pioneered software for benchmarking performance of microcode