Amadou Dialllo
@amadoudialllo
Results-driven software engineer specializing in backend systems and Cloud.
What I'm looking for
I am a results-driven Software Engineer with a strong background in backend engineering and cloud-native systems. My experience at Amazon has equipped me with the skills to build scalable backend systems, optimize infrastructure, and automate machine learning pipelines. I thrive in collaborative environments, where I can mentor others and contribute to high-impact teams.
During my tenure at Amazon, I led initiatives that resulted in significant cost savings and improved system reliability. I successfully eliminated $40K in annual AWS AppConfig expenses while enhancing operational efficiency. My passion for technology drives me to create user-focused software that addresses real-world challenges, believing firmly in technology as a catalyst for accessibility and innovation.
Experience
Work history, roles, and key accomplishments
Software Development Engineer
Amazon.com, Inc
Aug 2022 - Aug 2023 (1 year)
Led data and infrastructure optimizations, achieving significant annual savings and enhancing system reliability across seven production services. Mentored junior engineers on AWS best practices and microservices architecture, accelerating their ramp-up.
Software Development Engineer Intern
Amazon.com, Inc
Jun 2021 - Sep 2021 (3 months)
Deployed an autonomous ML pipeline that improved model performance by 20% and reduced deployment times. Collaborated with research scientists to develop an ML model that optimized resource allocation.
Education
Degrees, certifications, and relevant coursework
DarusSalam Seminary
Tanwīr Intensive, Advanced Sacred Sciences and Spirituality
Completed an immersive academic program in classical Arabic and ethical philosophy. Attained advanced reading and writing proficiency in Arabic and conducted in-depth study of moral philosophy, spirituality, and cross-cultural thought.
New York University
B.S., Computer Science
Grade: 3.64
Studied the fundamentals of computer science, including programming languages, data structures, and algorithms. Gained expertise in software development and problem-solving.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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