Refined the company's location tracking and functional infrastructure to achieve increased reliability, lower costs, and minimal latency. Devised real-time data processing capabilities, enabling the seamless handling of large volumes of data with optimal latency. Accelerated development of critical product features while spearheading efforts to mitigate technical debt

Steered the development of an adaptive logistics technology platform that now empowers tens of thousands of drivers across a multitude of companies globally. Innovated novel route planning strategies to improve the efficiency of our customers' logistics fleets. Created features which identify risks to fulfillment allow for corrective actions to reduce error rates. Effected systemic changes that boosted worker income, curtailed carbon emissions, and increased work flexibility

Founded and strategically scaled Silverleaf Capital Services (silverleafcaps.com), an ML-driven quantitative and high-frequency trading firm which handles ₹20 billion in daily trading volumes and consistently delivers over 80% annual returns on capital with an ultra-low risk profile (drawdown < 3%). Led a team of 20 engineers and scientists, cultivating a culture of continuous mentorship and fostering an environment that resulted in less than 2% annual attrition in a highly competitive market. Through innovative trading strategies and operational excellence, achieved a 50% CAGR in both revenue and profits for five consecutive yearsEngineered a robust, low-latency (<2 µs) trading infrastructure with connectivity to over 10 global financial exchanges, maintaining an uptime of over 99.98%. Through decisive technical decision-making, transformed backtesting and simulation frameworks to achieve a 100x increase in testing velocity while reducing costs by 90%. In a pioneering move for the Indian market, guided the utilization of FPGA hardware to achieve ultra-low latencies (<750 ns), thereby setting a new industry standardDeveloped state-of-the-art deep learning models (LSTM, 1DConv) for stock trading. Applied reinforcement learning methodologies on approximately 300 million data points, achieved results which vastly outperformed industry benchmarks. Implemented a sustainable model-improvement pipeline capable of adapting to highly adversarial market conditions, thus positioning the firm as a leader in machine learning-based financial strategies

Incubated the Artificial Intelligence team at Toppr.com with the mandate to improve student learning rates for IIT-JEE, one of the most competitive undergraduate engineering exams in the worldArchitected and deployed large-scale machine learning solutions that enhance the user experience for over 5 million daily active users across multiple product linesCreated algorithms which analyzed billions of user-interaction-patterns to provide real-time question recommendations, resulting in a quantifiable uplift in student learning rates while simultaneously improving user engagement and retention rates