Akhilesh Garg

Software Engineer

Bengaluru, Karnataka, India3 yrs 9 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in building scalable systems with modern tech stacks.
Proven track record in enhancing application performance.
Strong foundation in Data Structures and Algorithms.

Stackforce AI infers this person is a SaaS and Telecommunications software engineer with expertise in scalable system design.

Contact

akgarg0472@gmail.com LinkedIn

Skills

Core Skills

JavascriptReact.jsSpring BootPython

Other Skills

AndroidAndroid (Kotlin)Apache KafkaAsteriskBootstrapCascading Style Sheets (CSS)ContainerizationData Structures & AlgorithmsElastic Stack (ELK)Electron.jsFirebaseGenerative AIGitGo (Programming Language)Grafana

About

I'm a Software Engineer with experience in building scalable systems with Java Spring boot, Node.js, and TypeScript. With experience in Python, Go, Kotlin, and front-end technologies like React, I focus on creating efficient, high-performance applications. My strong foundation in Data Structures and Algorithms (DSA) helps me solve complex problems effectively. Always eager to learn, I stay updated on the latest tech trends to deliver innovative and reliable solutions. Let's connect and explore how we can push the boundaries of software engineering together! 🚀

Experience

Idrive software india pvt ltd

Programming Analyst

May 2025 – Present · 10 mos · Bengaluru, Karnataka, India · On-site

Led architectural and design discussions for RemotePC, ensuring scalable and maintainable solutions.
Migrated RemotePC’s legacy Electron-based UI to React.js, enhancing performance and developer velocity.
Resolved critical production issues, significantly improving stability and reducing downtime by 40%.

JavaScriptTypeScriptNode.jsElectron.jsReact.jsJava+1

Blackngreen

2 roles

Software Engineer

Dec 2022 – May 2025 · 2 yrs 5 mos · Gurugram, Haryana, India · On-site

Designed and developed AI-driven IVR and OBD solutions, handling 100M+ daily calls, boosting revenue and cutting operational costs.
Enhanced backend performance and reliability of Magiccall app using Prometheus, Grafana, and advanced bug fixes strategies.
Led development with Java, Node.js, TypeScript, Python, and ELK stack, driving key projects while mentoring teams in Spring Boot, NodeJS, and best coding practices for improved performance and collaboration.

LinuxSpring BootAndroid (Kotlin)TelephonyVoIP protocols SIPGenerative AI+7

Trainee

Jun 2022 – Dec 2022 · 6 mos · Gurugram, Haryana, India · On-site

Designed and implemented an in-house monitoring tool using spring boot to track system parameters and modules, sending alert notifications via email, whatsapp, slack, and telegram.
Collaborated with cross-functional teams to ensure seamless integration and functionality of the monitoring tool.
Analyzed system performance data to identify areas for improvement and optimize system efficiency.

LinuxSpring BootRedisMySQL