Arjun Garg
Software Engineer at LinkedIn | Ex: Curefit | IIIT-Delhi
- Role
- Software Engineer at Linkedin
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Arjun Garg
I am a results-driven Software Development Engineer with a proven track record in designing and implementing scalable solutions. Currently serving as a SDE-2 at Cult.fit, Bengaluru, I am the sole owner of the mission-critical membership-service, handling 20M+ requests/day and directly powering the flagship product. My expertise lies in Java (Spring Boot), TypeScript, JavaScript, Node.js, MySQL, MongoDB, Cassandra, Redis, and AWS.In my current role, I\'ve scaled the membership-service to support a staggering RPS by optimizing database queries and redesigning cache flows. Additionally, I\'ve designed and implemented Two-Phased commits to support Multi-DB transactions in Spring Boot, reducing latency by ~60% in the main booking flow.Previously, as a Software Development Engineer (SDE-1) at Cult.fit, I led the development and scaling of the in-house Communications Platform, handling more than 10 million requests/day. Notably, I spearheaded the development and integration of WhatsApp as a marketing channel and scaled it to support 80k messages/min using AWS SQS.My educational background includes a Bachelors of Technology(B.Tech) from where I graduated with Minors in Economics and a CGPA of 8.28/10.00. I have a strong foundation in advanced programming, data structures, algorithms, and machine learning.Outside of my professional roles, I\'ve actively contributed to impactful projects such as Text2Face (a deep learning model to generate faces) and Classify.io (ML-based autonomous waste segregator). I\'ve also held leadership positions, such as Head of Events at ESYA’19, leading a team of 50+ peers to execute successful tech events.Let\'s connect to explore opportunities for collaboration and innovation.
Experience
Software Engineer
Apr 2024 — Present · Bengaluru, IN
Spearheaded the planning and development of Flow Failure analysis for Azkaban flows using Temporal, thereby increasing data coverage in Arka from 75% to 99%+- Actively drove user adoption for this by collaborating with 40+ teams to migrate from Dr. Elephant, our Open-Source performance tuning tool for Hadoop and Spark. This initiative streamlined infrastructure, resulting in savings of ~%X/yr
Education
Indraprastha Institute of Information Technology, Delhi
Bachelor of Technology - BTech, Major: ECE | Minor: Economics
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