Michael L.

Senior Software Engineer

San Francisco, California, United States6 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in cloud observability and distributed systems.
Led significant enhancements in telemetry pipelines.
Developed a custom query language for data correlation.

Stackforce AI infers this person is a SaaS-focused software engineer with expertise in observability and distributed systems.

Contact

Skills

Core Skills

Distributed SystemsObservabilityReal Estate

Other Skills

KubernetesPythonReal Estate LicenseTelemetryKafkaOpenTelemetryData AnalysisC++Relational DatabasesAutodesk MayaRCJavaProcoreRuby on Rails

About

Hello! I'm Michael, a software engineer with demonstrated expertise in cloud observability, distributed systems, and scalable infrastructure. I'm currently working on a custom query language at Rippling that enables customers to query and correlate their data across various business functions. At Confluent, I led transformative initiatives to enhance telemetry pipelines, boost API reliability, and drive operational efficiency. Beyond engineering, I bring an entrepreneurial spirit to every endeavor. Whether it’s serving on my HOA board, mentoring peers, or building community through basketball events, I’m energized by opportunities to create, lead, and make a difference.

Experience

6 yrs

Total Experience

1 yr

Average Tenure

1 yr 1 mo

Current Experience

Rippling

2 roles

Senior Software Engineer

Promoted

Aug 2025 – Present · 9 mos

RQL Team - working on a custom query language that helps unify the Rippling Platform!

KubernetesObservabilityDistributed SystemsPython

Software Engineer II

Oct 2024 – Aug 2025 · 10 mos

The corcoran group

Real Estate Agent

Apr 2025 – Present · 1 yr 1 mo

https://nextgenbayarea.com/

Real Estate LicenseReal Estate

Confluent

3 roles

Senior Software Engineer II

Jan 2024 – Sep 2024 · 8 mos

Observability Telemetry Platform
Developed new enhancements and features for the Confluent Cloud Metrics API (https://api.telemetry.confluent.cloud/docs), supporting >1M queries per day
Addressed multiple scalability challenges in the Telemetry Pipeline including designing and implementing a custom Kafka partitioner that reduced the number of outbound connections by 81%
Eliminated dependency on Datadog through a large-scale migration to OpenTelemetry, standardizing metrics and tracing across the Confluent Cloud fleet using the OpenTelemetry Collector.

ObservabilityTelemetryKafkaOpenTelemetryDistributed Systems

Senior Software Engineer I

Promoted

Jul 2022 – Jan 2024 · 1 yr 6 mos

Software Engineer

Mar 2021 – Jul 2022 · 1 yr 4 mos

Second spectrum

Machine Learning/Software Engineer

Nov 2020 – Jan 2021 · 2 mos

Decreased training time by 50% for internal model training tool and added functionality to load game data from multiple games
Developed classification models to identify specific basketball actions that are served to each NBA team after every game

Confluent

Software Engineering Intern

Jun 2020 – Sep 2020 · 3 mos · Mountain View, California, United States

Comcast silicon valley innovation center

Machine Learning/Data Science Engineering Intern

Jun 2019 – Sep 2019 · 3 mos · Sunnyvale, CA

Designed and developed a natural language to SQL converter of 98% accuracy
Generated own dataset for training with over 300k samples
Developed a testing pipeline to validate specific parts of the backend engine

Second spectrum, inc.

Machine Learning Engineering Intern

Oct 2018 – Mar 2019 · 5 mos · Los Angeles, CA

Gathered insights and analytics on datasets from computer vision team
Generated datasets and utilized feature engineering to develop and validate machine learning models identifying specific basketball actions for NBA
Responsible for on-call camera capture duties to maintain proper video for live NBA games

Procore technologies

Software Engineering Intern

Jul 2018 – Sep 2018 · 2 mos · Carpinteria, CA

Worked closely with Customer Success to fix various client reported issues in Procore
app using full stack development in Rails
Wrote Danger CI tests and ran database migrations on Infrastructure Squad to ensure app uptime of 99.9%
Designed, developed, and maintained app structure and backend for high performance

Nasa jet propulsion laboratory

Software Engineering Intern

Jun 2017 – Sep 2017 · 3 mos · La Canada Flintridge, CA

Automated an image pre-processing pipeline for public outreach visualization project Project JUNO
Automated creation of objects and orbits in Autodesk Maya using MEL to visualize dsatasets in 3-D space
Prototyped a Runge-Kutta-Fehlberg 7th/8th order numerical ordinary differential equation solver with Henon stoppage