Krishnakumar Bhattaram
Graduate Research Student
Berkeley,CA
Summary
Student in Electrical Engineering/Computer Science and Physics, pursuing graduate studies in the field of computational physical sciences.
Overview
7
7
years of professional experience
3
3
years of post-secondary education
3
3
Languages
Work History
Modeling Heterostructures With Neural Networks
Salahuddin Group
1 2022 - Current
- Designing and configuring novel Message-Passing Neural Network architectures for material property prediction in modern transistor gate stacks
- Implemented custom Slater-Koster tight-binding package and worked with DFTB+ and QuantumATK to develop large-scale crystalline and amorphous heterostructure simulations
- Developed neural network package based on SpookyNet to predict forces, capacitance, and transport properties of ultrathin transistors
- Modifying network architecture to incorporate nonlocal confinement information while preserving linear scaling
- Published and to be presented in NeurIPS 2023 AI4Mat Workshop, and as my Master's Thesis
Machine Learning Intern
Jet Propulsion Laboratory
06.2023 - 08.2023
- Developed framework to enable large-language-model (LLM) question-answering over large multimodal text and image-based technical documentation
- Conducted literature review and synthesized findings to develop prototyping and metricking package for retrieval augmented generator based on vector and IDF-based text databases
- Employed open-source (Llama, Chroma) and commercial (Cognitive Search, Azure-based GPT) solutions to enable secure question-answering over proprietary and ITAR-restricted data
Software Development Engineer Intern
Amazon
06.2021 - 08.2022
- Developed multithreaded synchronous Pyspark package for informed exploration by contextual multi-armed bandit machine learning systems
- Integrated Elastic Map Reduce, S3, and EC2 compute resources to implement nonlinear constrained optimization algorithms
- Designed memory-conscious, low-latency causal inference engine and integrated into online request servicing pipeline
- Implemented extensible model training, serialization, and feature sourcing pipeline to serve conditional treatment effects for high-throughput inference
Studying Geophysical Auroral Ion Outflow
Space Science Laboratories
08.2020 - 12.2023
- Developing algorithms for statistical analysis and sanitization of data on geophysical plasmas from the Fast Auroral Snapshot satellite
- Analyzing phenomena that cause atmospheric loss and ion transfer from the ionosphere to the magnetosphere
- Presented in AGU Chapman Conference, Berlin July 2023
Cubesat Engineer
Space Technologies at Cal
08.2019 - Current
- Physically realized nitrogen-vacancy (NV) quantum magnetometer in cubesat form factor while working with campus researchers
- Designed interrupt-based systems software to process, transmit, and control experiment processes
- Launched from Cape Canaveral as part of Nasa's ELANA-41
- Presented in the CubeSat Developers Workshop 2023
Operating Systems Security Intern
Axiado Corporation
12.2021 - 02.2022
- Developed baremetal software in C and ARM (Thumb 32) for the Cortex-M0 for bring-up of Rambus RISC-V based hardware Root-of-Trust
- Worked with ARM System Memory Management Unit for peripheral address space indirection for secure DMA accesses
WiFi Software Engineering Intern
ON Semiconductor
06.2020 - 08.2020
- Worked on bring-up and verification of an 802.11ax SoC
- Deployed and expanded automation suites for multi-protocol traffic for baseband-to-baseband and RF verification
Narrowband Noisy Signal Resolution
Breakthrough Listen
01.2020 - 08.2020
- Characterized performance of de-doppler software suite turboSETI developed for pulsar detection
- Published in the Astronomical Journal, August 2023
Algorithm Design for Condensed Matter Simulation
Ehsan Khatami Group, San Jose State University
06.2017 - 08.2019
- Author of paper on Lanczos-boosted numerical linked-cluster expansion for quantum lattice models (Phys. Rev. E 100, 013305), working with approximate diagonalization of cluster embedding sfor the Heisenberg and Fermi-Hubbard Models
- Developed algorithms in C++/Fortran to expedite numerically stable parallel diagonalization of Hamiltonians for low-energy contributions
- Presented at the Conference of Computational Physics (CCP) 2018, and published in Physical Review E
Education
Bachelor of Science - Electrical Engineering And Computer Science, Physics
University of California, Berkeley
Berkeley, CA 08.2019 - 05.2022
Master of Science - Electrical Engineering And Computer Science
University of California, Berkeley
Berkeley, CA 05.2001 -
Skills
Python
undefinedPublications
Published:
- Krishnakumar Bhattaram*, Pratik Brahma*, Sayeef Salahuddin. "Accelerated Modelling of Interfaces for Electronic Devices using Graph Neural Networks". NeurIPS 2023 AI4Mat Workshop, December 2023
- Carmen Choza et. al. "The Breakthrough Listen Search for Intelligent Life: Technosignature Search of 97 Nearby Galaxies". The Astronomical Journal, AAS47036R1, August 2023
- Bhattaram, Krishnakumar, and Ehsan Khatami. "Lanczos-Boosted Numerical Linked-Cluster Expansion for Quantum Lattice Models". Phys. Rev. E, vol. 100, American Physical Society, July 2019, p. 013305
Presentations
- "Atomistic Modeling of Advanced Transistor Gate Stack Using Graph Neural Networks", Coauthor on Presentation at MRS, Seattle, Washington, April 2024
- "Accelerated Modelling of Interfaces for Electronic Devices using Graph Neural Networks", Poster at NeurIPS, New Orleans, December 2023
- "FAST Spacecraft Database of Inflows, Outflows, and Waves", Poster at AGU Chapman, Berlin, May 2023
- "Qubesat-2" Proof of Concept of NV-Center IMU in LEO, Talk at the Cubesat Developers Workshop, San Louis Obispo, April 2023
- "FAST Database for Outflow Analysis", Talk at the Living with a Star Workshop, Boulder, September 2022
Additional Information
- EECS Honors Program (with Honors Thesis), HKN EECS Honor Society and IEEE Student Member
- Dean's List, Honor's to Date recipient Five times
Timeline
Machine Learning Intern
Jet Propulsion Laboratory
06.2023 - 08.2023
Operating Systems Security Intern
Axiado Corporation
12.2021 - 02.2022
Software Development Engineer Intern
Amazon
06.2021 - 08.2022
Studying Geophysical Auroral Ion Outflow
Space Science Laboratories
08.2020 - 12.2023
WiFi Software Engineering Intern
ON Semiconductor
06.2020 - 08.2020
Narrowband Noisy Signal Resolution
Breakthrough Listen
01.2020 - 08.2020
Bachelor of Science - Electrical Engineering And Computer Science, Physics
University of California, Berkeley
08.2019 - 05.2022
Cubesat Engineer
Space Technologies at Cal
08.2019 - Current
Algorithm Design for Condensed Matter Simulation
Ehsan Khatami Group, San Jose State University
06.2017 - 08.2019
Master of Science - Electrical Engineering And Computer Science
University of California, Berkeley
05.2001 -
Modeling Heterostructures With Neural Networks
Salahuddin Group
1 2022 - Current
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