Tech Lead with 7+ years of experience building scalable, high-performance data platforms. In my current startup role, I lead the Analytics, GenAI, and MCP Server teams, driving architecture and execution across data intelligence and AI systems. Previously at Zscaler, I engineered the data infrastructure for an AI-driven security platform , while my previous work at Kayzen involved building an end-to-end ML retargeting platform that generated an average of $80k in monthly revenue. I have a proven track record of optimizing large scale systems, such as re architecting a Big Data ETL that slashed processing time for 1.5 TB of data from over a day to under an hour. My technical expertise spans the full data lifecycle, from building real-time streaming pipelines with Kafka and Azure Event Hubs to architecting data warehouses with Spark, Hive, and ClickHouse, and implementing resilient CI/CD and MLOps frameworks. I am deeply passionate about solving complex problems and sharing knowledge within the tech community. This passion has led me to publish research on ML models for phishing detection , win Zscaler's AI Hackathon , mentor over 200 university students , and earn an invitation to the Google SRE Leader's Circle. I am now seeking to grow into a Lead Data Engineer role where I can take on greater architectural ownership and guide teams in building resilient, data-driven products.I thrive on collaboration and am always open to connecting with fellow professionals. If you're passionate about data or looking for a dedicated engineer (C2H & Remote) to join your team, please feel free to reach out.
