Building Hyperscale Systems
That Power the Cloud

Shir Ram Adarsh Higher Secondary, Seoni

Percentage: 70.40%

Bhonsala Military School, Nagpur

Percentage: 88.60%

Bengaluru, India

• Developed a SaaS platform for Extended Detection and Response (XDR), migrating customer data from individually owned, on-premises EC2 instances to a centralized architecture leveraging Kubernetes clusters and a unified database. This transition reduced infrastructure management overhead, enabled scalable, pay-as-you-go service offerings, optimized resource utilization, and facilitated modular cybersecurity services.
• Enhanced the SaaS platform's (SOAR - security orchestration and response system) efficiency by building a robust CI/CD pipeline, automating testing, deployment, and scaling processes, reducing deployment times by 40% and increasing system reliability and responsiveness.
• Architected integrations with Tenable, Microsoft Azure, VirusTotal, ServiceNow, and Trellix/McAfee. These integrations handled 3 million RPM and supported 500,000 concurrent playbook (REST APIs Integrations) executions, improving platform efficiency by 25% and enabling faster, more effective threat responses.
• Engineered a high-performance data segregation engine to identify customer-specific threat impacts across billions of records. By transitioning from traditional database queries to Redis key-value pairs and ultimately optimizing to a bit-string representation, achieved a ~99.88% reduction in memory usage and improved query speeds by over 100x, enabling real-time threat analysis and decision-making at scale.
• Made real-time streaming supported in an analytical system utilizing Kafka, worked with ACL and other Kafka cluster management along with Zookeeper.
• Built a Search Microservice, consolidating the search functionalities of three existing Trellix products into a single interface, and implemented Elasticsearch for additional search capabilities. This innovation improved data retrieval speed by 80% and simplified the user experience by eliminating the need for multiple search portals.
• Implemented a dynamic rule engine that enables the SaaS platform to define, manage, and execute complex cybersecurity rulesets stored in the database. By eliminating the need for hardcoded logic, this solution streamlined the creation and deployment of new threat detection rules, reducing response times and enhancing agility in addressing emerging threats.
• Worked on developing the Trellix IAM microservice to enable seamless authentication across internal cybersecurity platforms, significantly reducing human involvement in the authentication process.
• Leveraged Generative AI with LangChain, RAG, and gRPC to automate the generation of SOAR marketplace apps, reducing manual effort through intelligent code generation, playbook creation, and seamless microservice communication.

Pune, India

Got merged with McAfee to form Trellix

Indore, India

• Delivered high-quality, maintainable code by implementing best practices, automated testing, and code reviews, reducing bug resolution time by 15% and release cycles by 30%.
• Collaborated with cross-functional stakeholders to define requirements and optimize implementation strategies, achieving a 25% decrease in project turnaround time.
• Designed and implemented a scalable betting platform for Betfaro, supporting 50,000+ concurrent users during peak match times, processing over $1M in daily transactions, and leveraging the New Double Bet model to drive a 60% increase in client profitability and a 40% surge in website traffic.
• Optimized data processing workflows for KodeKloud by 20% through the development of scalable features leveraging MongoDB, Flask, and AngularJS.
• Designed and optimized database schemas to support high-volume transactions, ensuring scalability and efficiency for Betfaro's betting platform.
• Integrated subscription-based and order-based payment systems with Crypto as well as real currency-based gateways like PayPal and Razorpay.