Energetic and passionate college student seeking internship opportunities in Software Industry. Aiming to use my knowledge to positively contribute to an organization's goals while gaining valuable industry experience.
Directed a team of four developers to build a fully containerized, integrated knowledge graph application that reduced root problem diagnosis time by 45%, leveraging Docker, OrientDB, Elasticsearch, Node.js, and React.
•
Led a team of seven developers to create a fully containerized Installation Verification Tool, reducing
deployment time by 20%, decreasing client reversal by 15%, and enhancing customer installation
experience, using Docker, Bash, and Python.
Software Engineer, Band 7
•
Developed a message rarity feature using Python's machine learning libraries, decreasing false positive
anomalies detection by 61% and achieving a 35% reduction in root problem diagnosis >me.
•
Modified product data architecture from indexes to data streams via Elastic stack, Opensearch, and Python,
increasing shard efficiency and search times by 30%.
•
Automated product installation and deployment for an innovation project using Ansible and Jenkins,
reducing install and deploy time by 50% for developers and testers.
•
Enhanced Opensearch’s alerting plugin to enable alerting capabilities on cloud based applications through Kotlin and JavaScript.
•
Automated vulnerability scanning in source control by integrating Jenkins with container and static scan
processes.
•
Containerized python based applications into services using Docker reducing setup time by 30% and
improving overall user satisfaction with the deployment process
Software Engineer, Band 6
•
Built an end-to-end demo environment and app with Python and Flask to demonstrate the product’s
anomaly detection and prediction capabilities.
•
Developed backend infrastructure for IBM’s workload visualizer using Node.js, enhancing visualization
Wrote queries to retrieve data from Elastic Search, then developed and implemented Machine Learning algorithms that increased the speed of statistic calculations by 200%.
•
Assisted the Cyber Security department and wrote events in Python that detected suspicious email activity.
