Abhishek Revaskar — Associate Consultant

I’m a Software Engineer/Senior Associate on Capital One’s Machine Learning Experience (MLX) team, building scalable event-driven services and APIs on AWS to enhance model governance and feature observability. I develop solutions for real-time notifications, analytics optimization, and automated ML documentation, and design GenAI pipelines using LangChain and Llama 3.0 for high-accuracy orchestration. During my M.Tech at IIT Kanpur, I led impactful research at the intersection of machine learning and security, publishing a SPACE 2022 paper on device-independent acoustic side-channel attacks that achieved up to 100% accuracy using advanced ML and Deep Learning models. I have demonstrated strong coding skills, earning Knight status on LeetCode (Top 4%, max rating 2003) and achieving high global ranks in competitive programming contests, including Facebook (Meta) HackerCup and Google KickStart. DISCLAIMER: All opinions shared by me are my own and based on my personal experience.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in Fintech.

Location: Bengaluru, Karnataka, India

Experience: 4 yrs 3 mos