
Over six months, contributed to simonsobs/sotodlib and simonsobs/socs by building robust data processing and automation features using Python. Developed remote slot activation and deactivation in SmurfCrateMonitor, enabling SSH-based hardware control for scalable remote operations. Enhanced data preprocessing pipelines with detector filtering, noise analysis improvements, and standardized output naming, focusing on reliability and data quality. Introduced file-based observation query loading and expanded database support for wafer-band queries, improving configurability and metadata management. Strengthened documentation and unit testing to support maintainability. Demonstrated skills in backend development, data validation, and signal processing, delivering solutions that streamline scientific data workflows.
February 2026 monthly summary for simonsobs/sotodlib focusing on delivering standardized saved outputs naming, configuration handling improvements, and bug fixes; demonstrates impact on reproducibility, data processing pipeline reliability, and maintainability.
February 2026 monthly summary for simonsobs/sotodlib focusing on delivering standardized saved outputs naming, configuration handling improvements, and bug fixes; demonstrates impact on reproducibility, data processing pipeline reliability, and maintainability.
In January 2026, the sotodlib preprocessing pipeline was significantly enhanced to improve data quality, reliability, and analyst productivity. Key features include detector restriction capability, updates to the c1f filter, and new frequency-domain tooling for scan-frequency estimation and t2p leakage analysis, all accompanied by broader documentation and maintainability improvements. The work consolidates a large, collaborative code delta aimed at robust, scalable preprocessing for the simulated-to-observed data pipeline.
In January 2026, the sotodlib preprocessing pipeline was significantly enhanced to improve data quality, reliability, and analyst productivity. Key features include detector restriction capability, updates to the c1f filter, and new frequency-domain tooling for scan-frequency estimation and t2p leakage analysis, all accompanied by broader documentation and maintainability improvements. The work consolidates a large, collaborative code delta aimed at robust, scalable preprocessing for the simulated-to-observed data pipeline.
November 2025: Delivered wafer-band information support in ObsDb for simonsobs/sotodlib, expanded primary key structure for wafer-based queries, and strengthened tests to improve robustness of observation data handling. Updated docstrings to use raw string literals for backslashes, improving documentation correctness. These changes reduce data handling fragility, enable more flexible querying for wafer-based observations, and improve overall code quality and maintainability.
November 2025: Delivered wafer-band information support in ObsDb for simonsobs/sotodlib, expanded primary key structure for wafer-based queries, and strengthened tests to improve robustness of observation data handling. Updated docstrings to use raw string literals for backslashes, improving documentation correctness. These changes reduce data handling fragility, enable more flexible querying for wafer-based observations, and improve overall code quality and maintainability.
In August 2025, delivered a file-based observation query loading capability for get_obslist in simonsobs/sotodlib, enabling queries to be read from an external file while preserving backward-compatible direct parameter usage. This work improves configurability and automation of observation queries with minimal disruption to existing workflows.
In August 2025, delivered a file-based observation query loading capability for get_obslist in simonsobs/sotodlib, enabling queries to be read from an external file while preserving backward-compatible direct parameter usage. This work improves configurability and automation of observation queries with minimal disruption to existing workflows.
June 2025 monthly summary for simonsobs/sotodlib: Delivered reliability and data-quality improvements across preprocessing, noise analysis, and detector filtering. Key changes include fixing Aman vs proc_aman sample restriction alignment to ensure consistent data processing; strengthening noise analysis robustness and preprocessing, with corrected configuration handling, parameter bounds, PSD output integrity, deep-copy handling, and NaN support in FourierFilter; introducing DetcalNanCuts preprocessing class to filter NaN DetCal metadata and plug into pipelines. These changes reduce pipeline failures, improve data quality, and enable more trustworthy downstream analyses.
June 2025 monthly summary for simonsobs/sotodlib: Delivered reliability and data-quality improvements across preprocessing, noise analysis, and detector filtering. Key changes include fixing Aman vs proc_aman sample restriction alignment to ensure consistent data processing; strengthening noise analysis robustness and preprocessing, with corrected configuration handling, parameter bounds, PSD output integrity, deep-copy handling, and NaN support in FourierFilter; introducing DetcalNanCuts preprocessing class to filter NaN DetCal metadata and plug into pipelines. These changes reduce pipeline failures, improve data quality, and enable more trustworthy downstream analyses.
May 2025 monthly summary for simonsobs/socs: Delivered remote slot activation/deactivation in SmurfCrateMonitor, enabling SSH-based control of individual board slots. The new methods activate_slot and deactivate_slot are registered as tasks within the agent to support remote management. Impact: enhances hardware automation, reduces on-site maintenance, and enables scalable remote operations. No major bugs fixed within the provided scope. Technologies demonstrated: Python, SSH-based control, agent task registration, and integration with SmurfCrateMonitor.
May 2025 monthly summary for simonsobs/socs: Delivered remote slot activation/deactivation in SmurfCrateMonitor, enabling SSH-based control of individual board slots. The new methods activate_slot and deactivate_slot are registered as tasks within the agent to support remote management. Impact: enhances hardware automation, reduces on-site maintenance, and enables scalable remote operations. No major bugs fixed within the provided scope. Technologies demonstrated: Python, SSH-based control, agent task registration, and integration with SmurfCrateMonitor.

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