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Bilal Akhter

@bilalakhter

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Lead Software Engineer

United States

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What I'm looking for

I seek roles where I can lead engineering efforts to build scalable, testable cloud-native applications, mentor teams, and drive measurable performance and cost improvements.

Senior Software Engineer with 7+ years of experience leading cross-functional teams and building scalable, full-stack web applications. Proficient in backend development using JavaScript (Node.js), Java, Python, and .NET, with deep expertise in designing robust APls, microservices, and database solutions using MySQL and MongoDB. On the frontend, skilled in crafting dynamic and responsive user interfaces with React, Next.js, Material UI, Ant Design, and animation libraries like Framer Motion. Experienced in mentoring developers, conducting code reviews, implementing Cl/CD pipelines, and applying rigorous testing strategies with Mocha and Chai. Driven by innovation and performance, I thrive on delivering clean, maintainable, and impactful solutions that align with evolving business goals.

Experience

Work history, roles, and key accomplishments

Current

Lead Software Developer

Current

Expert Technologies Group

Feb 2022 - Present (3 years 8 months)

● Led a team of 4 developers to deliver the HomeSchool Panda platform, incorporating features like role-based authentication, lesson planning, chores management, event scheduling, and Panda Connect for social interaction.
● Developed and maintained a full-stack application using React.js, Angular, Sails.js, Express.js,
and Postgres.

JavaScript JavaScript (Node.Js Typescript Nodejs TypeScript SQL MERN MERN Stack ExpressJS MongoDB React

Senior Software Engineer

Geisinger

Jan 2020 - Feb 2022 (2 years 1 month)

Led teams to deliver client web solutions, improving form conversion by 25% for Cash Loan Direct and ensuring 100% data sync accuracy for Tilt via a scheduled pricing processor.

MongoDB Redis Jest Docker Git Microservices

Software Engineer

IVCi

Jan 2016 - Jan 2020 (4 years)

Developed modular MERN and SPA applications, implemented serverless functions and data pipelines, and improved backend response times by ~35% while reducing infrastructure costs for low-traffic workloads.