Work:

• Orchestrated an end-to-end workflow using AWS Lambda, MailSlurp webhooks, Amazon Textract, and OpenAI’s GPT function to automate the parsing and extraction of invoice details from various freight-related email attachments, enhancing operational efficiency.

• Created a npm package that automates end-to-end AWS infrastructure provisioning for queuers using Pulumi.

• Led the creation of a robust social media platform with Next.js, Prisma, Clerk, and Vercel, as a compelling proof of concept for building an in-house frontend application dedicated to container lifecycle management.

Work:

• Built a tool to track changes to Logging/Experimentation headers along a request lifecycle within services, decreasing the MTTR (Mean Time to Repair) by 80% and the MTBF (Mean Time Between Failure) by 50%.

• Migrated the Logging and Experimentation schema CRUD UI tool from Jinja to React along with service separation for its APIs, decreasing deployment time by 58%.

Responsibilities:

• Owner of multiple full•stack components within an internal Logging and Experimentation platform.

• Member of the on•point rotation team.

• Prepared Technical Specifications for tasks/features.

Tech Stack : React, Typescript, Laravel, Python, Serverless, ELK, Amazon Web Services (S3, Lambda, Step functions, CodeBuild, CodePipeline), Kafka, Redis, SQL, Docker

Work & Responsibilities:

• Owner of multiple full-stack components within the product.

• Participated in the on-call rotation team for sales urgent (high-priority bugs)

• Drafted technical specifications for multiple tasks/features.

• Spearheaded the addition of Machine Learning Applications to the product to enhance its capabilities.

• Designed the architecture for the Machine Learning system.

• Led the Machine Learning Team to orchestrate a system to predict the Time to Close an email helping customers make a calculated decision during email assignments.