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Schedule Interview NowMy name is Arun S. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: ExpressJS, AngularJS, JavaScript, node.js, MongoDB, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Wisdom Portal, Active Customer 360, Manhattan Maven. I am based in Gurugram, India. I've successfully completed 3 projects while developing at Softaims.
I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.
Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.
I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.
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Cognizant Technology Solutions
The Wisdom Portal was developed to centralize and accelerate the manual operations carried out by both the operations and development teams. This tool was designed to automate critical tasks such as outage management, MTTR (Mean Time to Response) management, and hotfix deployments. A major component of the portal is its role-based access control, which grants access to users based on custom permissions tailored to their specific roles or teams. Integration with the organization’s LDAP system also streamlined user authentication and management.
Active Customer 360 is a unified dashboard platform designed for VPs and senior directors to monitor key customer metrics, including health, operations, infrastructure, cost, and support. The platform consolidates data from various sources like Jira, BigQuery, Snowflake, and Salesforce into a central database, providing a holistic and real-time view of customer status and trends.
Manhattan Maven was designed to address direct customer queries by integrating a chatbot with the customer-facing facade layer. The goal is to automate responses for common queries and reduce manual customer support intervention by 40%. This was achieved using a Retrieval-Augmented Generation (RAG) model, ensuring accurate and contextual responses.
Bachelor of Engineering (BEng) in Computer science