Focused on building AI agentic workflows and automations, alongside hands-on experience optimizing live trading systems and strategy backtesting. Cut slippage 0.2% per trade, lifted Sharpe from 1.54 to 1.70, and recovered 15 hours a week through agentic automation.
Spearheaded a new data extraction initiative, building an automated pipeline for quarterly results published on BSE India. Created a PDF extraction and normalization engine to extract financial data from reports in real time. Designed the internal audit interface for the pipeline, with editable tables for reconciling extracted values against the source PDF.
Designed and deployed agentic workflows across risk management, algo development and client reporting, recovering roughly 15 man-hours per week. • Automated a daily risk-metrics pipeline for monitoring and documentation, replacing manual reporting.
