Jul 2021 – May 2022 · 10 mos

• I architected and launched a pivotal service to consistently monitor and enforce GitHub branch protection across all organizational repositories, ensuring both adherence to compliance protocols and a uniform approval process to mitigate unauthorized code merges. Additionally, I significantly enhanced the resilience and scalability of the enterprise service's background job infrastructure. To further augment our systems, I meticulously refined documentation and error messaging for a primary infrastructure service, seamlessly incorporating Sentry for sophisticated error tracking.

Aug 2020 – Jun 2021 · 10 mos

• I applied various Machine Learning and Deep Learning techniques to detect anomalies in large multivariate time-series databases, successfully filtering out over 90% of anomalies across all datasets. Additionally, I conceptualized and assessed a Federated Architecture for anomaly detection utilizing LSTM Autoencoders. In parallel, I developed and tested a Privacy-Preserving Distributed Active Learning framework tailored for anomaly detection in industrial settings.

Jan 2019 – Sep 2019 · 8 mos

Jan 2019 – May 2019 · 4 mos

Aug 2018 – May 2021 · 2 yrs 9 mos

May 2018 – Jul 2018 · 2 mos