May '23 - Present
Denari
Software Engineer
- Led the end-to-end development of a comprehensive full-stack web application for our largest agency client, overseeing scope, timelines, and communication with the client's senior leadership.
- Ensured the security and durability of client documents, implemented Disaster Recovery plans to minimize Recovery Time Objective (RTO) and Recovery Point Objective (RPO), and co-led our team's SOC2 certifications.
- Improved document processing runtimes by 6.5x through a zero-downtime transition to auto-scaling queue consumers.
- Spearheaded the development team's observability initiative, establishing comprehensive logging, tracing, and profiling for frontend, backend, and ML repositories, all integrated into a centralized log management service.
- Optimized our main-page business logic SQL query from a p99 of 19s to a p99 of 250ms through the proper use of recursive CTEs, lateral joins, and correlated sub-query removal.
January '23 - May '23
Switchful
Software Engineer - Consultant
- Provided consulting services to a growing brand to enhance their SEO rankings. Leveraged data from common SEO tools to develop forecasting models for keyword optimization, resulting in a 10,000 page view increase over 2.5 months.
- Designed and implemented sophisticated models to calculate Total Addressable Market (TAM) and Serviceable Available Market (SAM) using SEO and Google Traffic analytics. Collaborated closely with clients to align these metrics with their business objectives, providing strategic insights for vertical market development.
May '19 - January '23
United States Geological Survey (USGS)
Junior Software Engineer - Student Team Leader
- Constructed software as described in NWTOPT publication that is used by hydrologists globally for distributed Tree Parzen Estimator hyperparameter optimization for MODFLOW-NWT model solver settings, resulting in an average of 80% run time reduction of model solves. This has saved the USGS months worth of on-prem computation.
- Led and mentored a junior developer, delegating tasks and ensuring timely and accurate completion of project milestones in alignment with our team's roadmap. Facilitated effective collaboration and problem-solving, enhancing overall project efficiency and productivity.
- Trained Generative Adversarial Networks (GANs) to generate physically-realistic realizations of hydro-geological conductivity maps derived from sparse observational-data and hydrologist-informed hypotheses of conductivity distributions.
June '20 - Dec '20
Paradigm
Software Engineer Intern
Familiar Languages
Go
Rust
Python
C/C++
TS
SQL
R
Java
Other Skills
AWS
PostgreSQL
MySQL
Networking
Docker
CloudFormation
Azure Cloud
Git
Lambda Stack
Weights & Biases
MLFlow
AWS
ECS
Fargate
Lambda
SNS
SQS
Kinesis
MSK
Auth Flows
Qdrant
Scikit
TensorFlow
Pytorch
Langchain
DynamoDB
SQLite
Datadog
k8s
Block Storage