Bengaluru, Karnataka, India
Currently working at Visa in the VELT team, where I work with the big data tech stack to analyze massive volumes of payment data, calculate Visa's exposure, and determine client collateral requirements. At BlackRock, I worked on data harvesting from browser-rendered sources and built end-to-end pipelines to support financial data workflows. At Accenture, I contributed to a MERN stack project, automated frontend testing, and created a GitHub Copilot developer handbook. At CID Karnataka, I explored digital forensics techniques and investigative tools for data recovery and analysis in real-world case scenarios. I’m passionate about problem-solving, full-stack web development, and currently exploring AI agents and automation. Cricket fanatic, football enthusiast, and always ready for a good match — on the field or in the code.
Currently working in the VAS PD technical leadership team within the EOR department, focusing on processing and streamlining data to calculate Visa’s exposure to issuer banks prior to daily transaction settlements. The role involves handling data storage, processing pipelines, and using technologies like Spark, Java, Shell scripting, Kafka, and SQL.
Worked in the Data Strategy and Solutions team, focusing on scraping and harvesting alternate data from various sources to generate insights for portfolio managers. Designed and scheduled scrapers with data quality checks using Scrapy and GCP. Built an internal tool with an interactive UI to streamline manual auditing, integrated GenAI into the workflow, and gained exposure to key financial concepts.
I gained hands-on experience in cloud computing with basic AWS deployments, explored low-code/no-code tools, and worked on full-stack development using React.js and MongoDB for a client project.
Worked on analyzing 5GB+ of social media chat data from platforms like WhatsApp and Telegram using Python and NLP to flag potential cyber threats. Handled data extraction, cleaning, sentiment analysis, and built a Streamlit-based web platform for interactive analysis.
Taught high school students in a 1:1 virtual format, covering programming languages like Java, C++, and Python, along with solving data structures and algorithms problems to build strong coding fundamentals.