Anuvesh Sharma — AI Researcher

As a Senior R&D engineer at Synopsys, I’ve been focused on developing and scaling reinforcement learning algorithms that bridge cutting-edge AI research with real-world deployment. I’ve led efforts on Foster.ai to improve latency and scalability for complex design applications, and integrated Delphi — a centralized optimization engine — into Platform Architect to enhance design-space exploration and performance analytics. In the DARPA-backed AISS team, I contributed to building cockpit automation for SoC design, developed an IP-XACT parser for IP integration, and optimized DSO.AI, an RL-based engine tuning platform-level KPIs. I’ve also built IP repositories using Cassandra and Flask, and stabilized Jenkins regression systems to ensure robust testing pipelines. Before Synopsys, I worked at Ola across multiple verticals: structuring credit risk and fraud detection for BNPL products, building predictive ML models for Ola Electric’s battery systems, and deploying backend platforms with Django and Docker at OlaCabs. Alongside my engineering journey, I’ve cultivated a deep interest in financial markets, especially in quantitative finance and fintech. I’m passionate about roles that combine critical thinking, data-driven strategy development, and mathematical modeling — from building systematic trading models to optimizing risk management systems. With a strong foundation in AI and a drive to solve complex, interdisciplinary problems, I’m excited to contribute at the intersection of technology and finance

Stackforce AI infers this person is a Fintech and AI specialist with strong backend engineering capabilities.

Location: Noida, Uttar Pradesh, India

Experience: 3 yrs 8 mos