Software Engineer

Migrated 800 Jenkins instances from OCP3 to OCP4 using S3 buckets, reducing maintenance costs by 50%.

Kubernetes monitoring and management DevOps tool that watches, redeploys, and restores from backup

Developed a Kubernetes monitoring and management DevOps tool that watches, redeploys, and restores from backup on 2000+ applications, deploying the features to OCP4 and reducing support tickets by 36%.

Architected and implemented a high-performance Email Gateway Service using Azure Functions and C#/.NET, capable of processing up to 1 million messages per day, to optimize email delivery and reducing bounce rates by 75%

reducing message payload size by up to 90%

leveraging Azure Service Bus and Storage Blobs

enabling support for large attachments and improving overall system reliability

Engineered an innovative claim-check token system leveraging Azure Service Bus and Storage Blobs, reducing message payload size by up to 90%, enabling support for large attachments and improving overall system reliability

20% improvement in application scalability and reduced server response times

implementing network protocols (TCP/IP, UDP) and Kubernetes for container orchestration

Optimized system performance by implementing network protocols (TCP/IP, UDP) and Kubernetes for container orchestration, resulting in a 20% improvement in application scalability and reduced server response times.

an AI-powered application that allows users to query information about professors based on communication skills, teaching effectiveness, and subject expertise

Developed an AI-powered application that allows users to query information about professors based on communication skills, teaching effectiveness, and subject expertise, resulting in a 60% increase in user engagement.

Retrieval-Augmented Generation (RAG) with Pinecone for efficient data search and retrieval, and integrated OpenAI

achieving a 95% accuracy in professor ratings

Utilized Retrieval-Augmented Generation (RAG) with Pinecone for efficient data search and retrieval, and integrated OpenAI to provide real-time responses, achieving a 95% accuracy in professor ratings.

Implemented a scalable, user-friendly interface using Next.js, reducing onboarding time by 30% and enhancing the overall user experience.

80% reduction in production server breakdowns

Deployed software updates for the Ford Global Lending Analysis System App (GLAS) through Jenkins, establishing a version control system leading to 80% reduction in production server breakdowns

Amazon EC2 hosts count exceeds 12, cluster CPU utilization exceeds 70%, $4000 per month

DevOps with Datadog monitors that send alerts to the team slack channel

Accelerated DevOps with Datadog monitors that send alerts to the team slack channel if Amazon EC2 hosts count exceeds 12, and if cluster CPU utilization exceeds 70%, saving $4000 per month

using sentiment analysis and natural language processing

generated a document in less than 30 seconds

Evaluated top 12 resume points from 20+ using sentiment analysis and natural language processing and generated a document using GCP Google Doc API in less than 30 seconds (link)

generate free and paid personalized personality reports with custom links for affiliate marketing integrated with coupon codes and PayPal payments

Created a Django app where a 60 question survey is used to generate free and paid personalized personality reports with custom links for affiliate marketing integrated with coupon codes and PayPal payments leading to 100% monetization

Data Scientist

data accuracy, reliability of inspection metrics

implementing rigorous data validation checks

improved decision-making and reporting quality

Enhanced data accuracy by implementing rigorous data validation checks, ensuring the reliability of inspection metrics, which led to improved decision-making and reporting quality.

tracking cloud costs and automating total cost of ownership by leveraging Java, SpringBoot, and Vue.js

Developed an end-to-end solution for tracking cloud costs and automating total cost of ownership, which resulted in a 15% reduction in cloud spending by leveraging Java, SpringBoot, and Vue.js.

35% reduction in product development time

presented a natural language to SQL querying chat-bot

leading to a 35% reduction in product development time by streamlining data access with Llamaindex

Designed and presented a natural language to SQL querying chat-bot to senior stakeholders, leading to a 35% reduction in product development time by streamlining data access with Llamaindex.

through refactoring business logic, improving SQL schema, and enhancing query performance

which reduced server response times and improved user experience

Optimized application efficiency by 20% through refactoring business logic, improving SQL schema, and enhancing query performance, which reduced server response times and improved user experience.

enabling users to search through... providing comprehensive access to historical data as well as live game stats

Architected a RESTful API with Flask, enabling users to search through over 50 years of NBA statistics, providing comprehensive access to historical data as well as live game stats.

robust test automation scripts for an application monitoring tool using TypeScript, JavaScript, Node.js, and Microsoft Playwright

Develop robust test automation scripts for an application monitoring tool using TypeScript, JavaScript, Node.js, and Microsoft Playwright, reducing manual end-to-end testing time by over 40 hours per month.

efficient client-side routing with the Next.js framework

Implemented efficient client-side routing with the Next.js framework, reducing page load times by 50%.

exam scores that exceeded the 80% class average

explaining different physics concepts & visualizing problems step-by-step with diagrams

Enhanced students' problem-solving abilities by explaining different physics concepts & visualizing problems step-by-step with diagrams, resulting in exam scores that exceeded the 80% class average.