I am a Staff Software Engineer with 6+ years of experience building scalable, secure, and high-performance distributed systems across fintech and analytics domains. My core expertise spans Java, Python, Spark, Kafka, React, and cloud platforms like AWS and GCP, with a strong focus on data-intensive systems and GenAI integration. ​ At Visa, I lead a team of 6 engineers to build GenAI-powered reporting and billing platforms that handle real-time analytics with zero P1 incidents in production. This includes architecting containerized reporting systems, an encrypted fraud-reporting solution for sensitive financial data, and a Spark-based billing engine that reduced compute costs by 55% while improving throughput by 33%. ​ Previously at Quantiphi, I worked as a Senior Software Developer building cloud-native document processing engines using AWS Textract, Comprehend, Lambda, and Docker for major insurance clients. I also designed reusable frameworks that cut development costs by 25% and led initiatives such as car insurance chatbots and smart document extraction pipelines. ​ Beyond delivery, I often act as a Security Champion—enforcing secure SDLC practices, mentoring cross-functional teams on compliance, and guiding engineers on architecture and design decisions. I enjoy helping other engineers grow into senior and staff roles through practical system design reviews, portfolio guidance, and real-world project breakdowns. ​ On Topmate, you can reach out for: End-to-end system design reviews (high-scale, data-heavy, or fintech-focused systems). ​ Guidance on GenAI integration into existing products and data platforms. ​ Career mentoring for transitioning into Senior/Staff roles and improving impact narratives. ​ If you share a brief about your background and goals, sessions can be tailored to give you clear next steps and actionable feedback within the first call itself.