Experience

 
 
 
 
 
Jul 2022 – Sept 2023
Redmond, WA

Machine Learning Engineer

Amazon Web Services


  • As an MLE at AWS, my role included designing and implementing scalable machine learning pipelines for clients in various industries. I performed exploratory data analysis and provided recommendations for model development. I trained and fine-tuned models to improve their accuracy and developed MLOps pipelines for efficient model building and training. I also utilized AWS services to create CI/CD pipelines and infrastructure as code for streamlined model deployments and updates.
 
 
 
 
 
July 2021 – July 2022
Seattle, WA

Software Developer

Amazon


  • Responsibilities included developing efficient solutions that improve data processing, implementing infrastructure as code to reduce maintenance costs, and working closely with senior engineers to produce scalable software solutions.
 
 
 
 
 
Aug 2021 – Jan 2022
Philadelphia, PA

Teaching Assistant

Univeristy of Pennsylvania


  • Checked assignments, proctored tests, and provided grades according to university standards.
  • Provided relevant and timely feedback on student assignments.
  • Mentored students through office hours and one-on-one communication.
  • Taught small groups of students focused on specific parts of coursework.

My work

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All

RAG vs Fine Tuning

Understanding the unique strengths of pioneering techniques shaping language models today!

Chain of Verification

Discover CoVe: a novel method mitigating hallucinations in Large Language Models (LLMs).

Vector Databases

Provide the data foundations for an AI-first future.

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