Sajed Jalil

Machine Learning Engineer

Apollo Applications Group•  January 2024 - Present•  Virginia, USA

• Lead engineer in architecting & developing GenAI-based maternity health apps. • My designed product architecture reduced cloud operation costs by approximately 90% on AWS. • Integration, optimization and load balancing of GenAI models in limited GPU resource environments using latest techniques. • Designed and developed highly scalable iOS and web applications through auto-scaling and efficient usage. • Implemented on-device & real-time language models for low-end devices like smartphones.

Graduate Teaching & Research Assistant

George Mason University•  August 2021 - May 2024•  Virginia, USA

• Designed & developed automated extensions addressing the challenges faced by novice data scientists. • Developed a multi-agent LLM workflow tool to enhance user trust. • Published two research papers on ChatGPT and similar LLM tools’ productivity with 230+ citations.

Software Engineer

Codecrafters International•  February 2021 - July 2021•  Dhaka, Bangladesh

• Core member in developing financial applications for various US banks and financial services. • Worked with proprietary NoSQL-like database implementation and backend technologies. • Played a key role in developing software for Investortools, which is now used by 20+ US banks and financial institutions.

Software Engineer

Samsung•  January 2019 - February 2021•  Dhaka, Bangladesh

• Developed and integrated a new cloud data management backend from 10+ legacy desktop software. • Redesigned process automation for production & testing databases using bash scripting and CircleCI. • Designed and supervised automated unit test initiatives, server profiling, and automated reporting. • Mentored & trained new engineers’ onboarding into the team.

Intern Software Engineer

Samsung•  January 2018 - December 2018•  Dhaka, Bangladesh

• Developed a real-time analytics dashboard for the Samsung MyGalaxy app, aiding marketing managers in Nepal and Bangladesh with live sales, user, and device usage data. • Contributed to proprietary research on customer churn prediction and Augmented Reality (AR) applications.