Jan 2023 – Mar 2025 · 2 yrs 2 mos · Pune, Maharashtra, India · Remote

• At Trellix (Formely known as Fireeye-McAfee), I contributed to the development and enhancement of a SaaS platform for Extended Detection and Response (XDR). Key contributions include:
• SaaS Platform Development: Migrated customer data from on-premises EC2 instances to a centralized Kubernetes-based architecture with a unified database, reducing management overhead, enabling pay-as-you-go services, and optimizing resource utilization.
• CI/CD Pipeline: Built robust CI/CD pipelines to automate testing, deployment, and scaling, reducing deployment times by 40% and improving reliability.
• Integrations: Architected integrations with Tenable, Microsoft Azure, VirusTotal, ServiceNow, and Trellix/McAfee, boosting platform efficiency by 25% and enabling faster threat responses.
• Data Optimization: Engineered a segregation engine to identify customer-specific threat impacts, achieving ~99.88% memory reduction and 100x faster queries using Redis and bit-string optimization.
• Unified Search: Consolidated search functionalities of three Trellix products into a unified engine, leveraging Elasticsearch to improve retrieval speed by 80% and streamline user workflows.
• Rule Engine: Developed a dynamic rule engine for cybersecurity rulesets, enabling on-the-fly updates and faster adaptation to emerging threats.
• Logging System: Designed a scalable logging system to enhance incident tracking and analysis across integrated services.

Jul 2022 – Dec 2022 · 5 mos · Pune, Maharashtra, India · Remote

• Merged with MacAfee to form Trellix

Feb 2021 – Jun 2022 · 1 yr 4 mos · Indore, Madhya Pradesh, 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.