Headline

SDE 2 @ Qualcomm, ex Amazon, NIT Jamshedpur (Full stack, Data structures and algorithm, System Design)

About

Hello there, I am Kalaga Arun, currently working as SDE 2 @ Qualcomm from National Institute of Technology, Jamshedpur. With majors in Electronics and Communication Engineering, I am interested in a lot of other things apart from the branch I opted. I am a Full-Stack Software Engineer with a passion for designing scalable distributed systems and optimizing high-traffic applications. Currently building at Qualcomm as a Software Engineer II, I specialize in taking complex software architectures from zero to production. Over the last 4+ years across Qualcomm and Amazon, I’ve thrived in solving large-scale engineering problems. My recent focus has been on building robust microservices, automating complex CI/CD pipelines, and integrating AI into everyday developer workflows to drastically reduce feature turn-around times. 💡 What I bring to the table: • System Optimization & Scale: Re-architected systems at Qualcomm to improve API performance by 96% and database operations by 92%. • End-to-End Ownership: Experience leading the design and deployment of 25+ microservices across cross-functional teams. • Cloud & Architecture: Strong foundation in serverless architectures and cloud infrastructure, having automated deployment pipelines (100% overhead reduction) during my time at Amazon. • Tech Stack: Java, Python, TypeScript, Spring Boot, React, Node.js, Kubernetes, Docker, Kafka, Redis, and AWS (S3, DynamoDB, Lambda). Before my corporate journey, my roots were in ML and hardware innovation at NIT Jamshedpur—ranging from building end-to-end language detection AI for startups to publishing research in Springer on IoT Smart Grids. Beyond the screen, I’m a massive football fan, I love geeking out over new TV series, and I actively value giving back to the community, having spent time teaching underprivileged children. I am currently looking for my next big challenge and am highly interested in Software Engineer II opportunities where I can tackle complex, global-scale problems. Let's connect! If you are looking for an enthusiastic, futuristic and innovative guy, search no more, I believe I am going to be a prefect guy for that. I am very active in LinkedIn. Do contact me without hesitation to get to know me.

Location

Bengaluru

AI stack

antigravity

opencode

claudecode

Work experience

Software Engineer 2 at Qualcomm, Sep 2021 - Present · 5 yrs, Bengaluru, Karnataka, India, Designed and owned 3 large-scale distributed systems powering global data ingestion pipeline, including >25 microservices using Java (Spring Boot), Python, JavaScript collaborating with 4 cross-functional teams throughout software development lifecycle. Delivered major data ingestion pipeline handling >190GB of daily data, reliably serving >1,800 devices across >10 countries by implementing S3 crawlers, API polling, cron jobs and Kafka for async processing. Reduced API response times by 98% (from 45s to 0.5s) by identifying N+1 query bottleneck and implementing efficient client-side and server-side caching using Redis achieving 100% cache hit rate with periodic cache warmups. Developed 3 React/Vite front-end portals showing aggregated and filtered system stats, secured with Azure OAuth 2.0 using modern design techniques like lazy loading, pre-render data warm up, ensuring WCAG accessibility standards. Created >50 secure and low-latency REST APIs using Java (Spring Boot) and Python (Flask) fulfilling diverse requirements, increasing automation and saving roughly 10 engineering hours weekly. Optimized critical background query execution time by 86% from 30 minutes to 4 minutes by designing scalable schemas and utilizing CTEs, efficient joins, and advanced indexing for MySQL and PostgreSQL. Ensured high availability and system reliability by writing comprehensive unit, integration, and load tests simulating 1M concurrent device connections for pre-commercial rollout. Cut production bug MTTR by >90% from 3 days to 2 hours for >12 system issues monthly by building executive-level Grafana observability dashboards with centralized logging and proactive alerts enabling real time bug detection. Conducted >80 system design and peer code reviews to maximize accuracy, scalability, reliability and efficiency in cost, time and resources; authored and maintained technical documentation based on product feature updates ensuring best practices.

Software Developer at Indus Valley Partners, Jul 2021 - Sep 2021 · 3 mos, Noida, Uttar Pradesh, India, Delivered Entity Type User Mapping website project. ✔ Worked in HTML, Javascript and CSS for the front-end ✔ Worked in C# for making the services, and MySQL for database.

Software Developer at Amazon, Jan 2021 - Jul 2021 · 7 mos, Bengaluru, Karnataka, India, I worked under Agile environment to deliver the following projects: ✔ Design and development of a website where multiple users upload unclear product images, then accept/reject the ML result (Using ReactJs & CSS for front-end, and Java for backend) ✔ Worked on various AWS services like S3, DynamoDb, Batch, Lambda, CloudWatch, IAM, CloudFormation, API Gateway, Step Functions automated all these through AWS CDK typescript. ✔ Integration Tests (TestNG) of 4 APIs, unblocking CI/CD pipelines facilitating continuous deployment reducing manual testing. Increased ML data validation throughput by 60% by designing a portal where users could upload unclear product images and validate ML results (React and CSS for front-end, Java for backend and TypeScript for deployment). Eliminated deployment overhead by 100% by utilizing various AWS services like S3, DynamoDB, Batch, Lambda, CloudWatch, IAM, CloudFormation, API Gateway, Step Functions and automated these workflows through AWS CDK (TypeScript). Achieved 100% test coverage eliminating manual testing efforts by writing integration tests of 4 APIs in TestNG, unblocking CI/CD pipelines facilitating continuous deployment.

Machine Learning Engineer at Decibell, May 2020 - Aug 2020 · 4 mos, During this internship, majority of my work was to lead the ML/AI team of Decibell and I had worked in audio domain. ✔ Developed a python program for reduction in noise in audios which worked with an efficiency of about 90% (manual calculation). The model could detect and remove noise even from audios with higher volume of noise than human voice. ✔ Developed a machine learning model to deduce the language of the speaker used in an audio by using Deep Neural Network specifically Convoluional Neurl network.

Head Of Sponsorship and Innovation Advisor at Team Rays, Apr 2019 - Jul 2020 · 1 yr 4 mos, Jamshedpur, Jharkhand, India, ✔Led the sponsirship team and by everyone's rigorous efforts, successfully brought a total sponsorship of INR 3.5 lakhs for the project based on development of solar electrical vehicle (SEV) suitable for indian roads. ✔Was incharge of innovations in technological department for the vehicle, implemented using Internet of Things. ✔Many of the innovations included GPS enabled emailing system, and temperature tracking for the battery, automatic headlight and seatbelt system.

Education

Bachelor of Technology, Electrical, Electronics and Communications Engineering, National Institute of Technology Jamshedpur

Pure Science with Computer, DAV Public School, Bistupur, Jamshedpur