Integrate game with Elastic Stack for data ingestion
Implement data lake in S3 for async ingestion
Implement several user-facing game features in Unreal
Create dashboards using analytics gathered from gameplay sessions
Maintain and refactor OnlineSubsystem for easier implementation of cross-play
Architect and build out an in-house, low-cost Analytics Backend solution using
GCP
and BigQuery
Technologies Used:
Unreal Engine 4.27
Elastic Search, Kibana, Logstash
AWS S3, EC2
GCP Cloud Run, BigQuery, Artifact Registry
Protobufs, gRPC
ASP.NET 8.0
Docker
Wrekless
Full-Stack Engineer, DevOPs Engineer, Server Scalability
Responsibilities:
Integrate in-game proximity voice chat using player positions
Architect and build out an in-house, low-cost Analytics Backend solution
using
GCP
and BigQuery
Tune and stress test Kubernetes deployments with Google's Agones to
autoscale
based
on player count on each server
Fine-tune headless bot-based testing implementation to support a larger
number
of
bots in a separate Kubernetes Cluster to best simulate a lifelike load of
players
joining our servers
Optimize and maintain separate Game Services backend, decoupled stateful
components
to better scale with larger user bases
Ernst & Young (GigNow): January 2021 - September 2022
Full-Stack Developer, SQL Developer
Responsibilities:
Maintained a Dotnet-5 API for Tax Rules, regularly resolving
bugs, adding features and migrating to new versions of other
EY-internal APIs
Maintained AngularJS Frontend through routine bugfixes to
timezone, localization and API call corrections, as well as
adding new features for end-users to interact with.
Supported API feature team through stored procedure
creation/modification, table schema changes and SQL View
modifications.
Optimized stored procedure performance to reduce risk of
timeouts
Managed and modified entity data and relations
Technologies Used:
.NET 5.0, Entity Framework Core, Dynamic Linq
AngularJS, Kendo-UI
Microsoft SQL Server 2017, RedGate SQL Change Automation
Visual Studio 2019, Visual Studio Code
SQL Server Management Studio, Azure Data Studio
Erwin Data Modeler, Microsoft Visio
Azure DevOPs
Base Camp Health: June 2020 - January 2021
MLOPs, Data Scientist & FS Dev
Responsibilities:
Developed ML & Statistical Model for COVID-19 Detection
Wrote Email Reminders system with Python + PostgreSQL
Contributed to Client-Requested Features on Frontend and
Backend
Performed SDOH and Data Analysis on Anonymous BCBSAL Data
Created Acceptance Server with auto Docker updates from AWS
ECR
Technologies Used
Python, Pandas, SendGrid and MatPlotLib
JavaScript, TypeScript and PSQL
React, Redux, React-Router, ExpressJS, PostgreSQL Docker,
and K8s
CUIP: May 2017 - June 2020 (Part-Time)
Data Scientist, FS Dev and Video Analytics Specialist
Responsibilities
Developed and Deployed City-Scale Parallelized Video
Analytics Engine
Created and managed dashboard for City-Scale Data Throughput
Assisted with Management and Deployment of Kafka Cluster
Developed and Deployed Real-time Archival System using AWS
S3 and Kafka
Technologies Used
Python, TensorFlow, PyTorch, Pandas and OpenCV
JavaScript, Leaflet, OSM, ExpressJS and WebSockets
Apache Kafka, ElasticSearch, Grafana, Kibana, Ansible and
OpenStack
ELab Repairs: November 2019 - June 2020 (Part-Time)
Full-Stack Developer, Data Architect
Responsibilities
Create and deploy a full-stack application for shopping for
products
Integrate StripeJS as the primary checkout transactions
system
Created system to allow the owner to add/remove/modify stock
Designed the database architecture and implemented it in
MongoDB