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github/xerk-dotEDUCATIONRutgers University GPA: 3.Street Address May 2023, BS in Computer ScienceCoursework: Data Structures, Robotics, Computer Architecture,Introduction to Artificial Intelligence, Robotics, Imaging and Multimedia, Linear Algebra, Introduction to Duscrete Structures, Introduction to AI, Minds Machines and Persons, Design and Analytical Computer Algorithms, Software Methodology, Internet TechnologyOther Skills: PostgreSQL, Dataflow, Databricks, Snowflake, BigQuery, Docker, Kubernetes, Spring Boot, Spring Framework, Angularjs, JSON, gRPC, Amazon S3, AWS, Azure functions, Python, Python libraries, Django, Tensorflow, GPT-3, Terraform, Typescript, Node.js, Istio, Google Spanner, SQL, NoSQL, Linux, Ubuntu, Strong Analytical Skills and Attention to Detail, Git, GitHub, Testing and Debugging, Strong Knowledge of Software Development Tools and Alternative Technologies.PROJECTSNAUKOKARTA September 2018-Present Designed a video game built in Unreal Engine 5 (coded in C++) around original trading card game concept Implemented Epic Games built-in networking solutions (matchmaking, player identity management, and analytics for improving player engagement and retention) Debugged issues with UE5s Render Hardware Interface due to problems with ray tracing Organized business structure and run four-person team Received pre-orders through word-of-mouth campaign, eventually to be released on Steam IMPLEMENTATION OF 2D KALMAN FILTER November 2022 Provided with a system equation and covariance matrix for system/measurement noise, the code plots the predicted values (x1,k,x2,k)from sample control input and observations. Written in Python. OPTICAL CHARACTER RECOGNITION SYSTEM October 2022 Identifies and recognizes gray-scale images of hand-written characters. Written in Python [numpy, scipy, matplotlib].SKILLSLanguages: Python, Java, C++, CWeb Development: React, JavaScript, HTML/CSSTechnology: Git, Docker, Unreal Engine, Blender, LATEX, Photoshop, Krita, Microsoft Office, GoogleSuiteIntegration Engineer 08/2023-4/2024Data Motion, Morristown, NJCloud architect with hands-on experience designing and implementing data engineering and AI solutions on Google Cloud Platform BigQuery,Dataflow, Cloud AI Platform).-RAG application tailored for Google Workspace users via a cloud-native GCP (GKE using Ray, Jupyter notebooks, Langchain, Mistral-7b and CloudSQL pg vector).-Migrated from Snowflake to Databricks to provide greater flexibility in managing diverse data sources and schemas effectively, eliminate the need for external ETL tools, and satiate optimism for a data lake house architecture.-Engineered a MongoDB Atlas Vector Search aggregation pipeline for user-generated embeddings.-Designed a Tableau solution (with Apex) to seamlessly integrate DataMotion alongside the powerful CRM insights of Salesforces Einstein.Founding Engineer (MLOps) 02/2024 to present.-Created a map-based web app with customizable observability of multi-location event preferences and real-time aggregated mobile device activity. Insights provided from trained BigQuery ML models and GoogieSQL queries accessing Vertex Al frameworks and Cloud AI APIs.-Compared GIS solutions resulting in reduction of api costs by 65% after completing migration from Google Maps to Mapbox.-Designed Al toolkit for route moderation which drastically identified 95% of fraud cases by routinely sifting through ongoing events and providing end users and internal teams with appropriate safety measures for potentially sensitive material. |
