Vijeth Bidare Vijayakumar — Data Engineer

With 9+ years of experience across Global Markets, Quant Research, and Investment Banking, I specialize in leveraging AI and Machine Learning to drive trading efficiency, sales analytics, and intelligent automation across FX and Equity QIS businesses. Core Strengths: Quantitative Research & Model Development — Hands-on expertise in FX Pricing, QIS Structuring, and eRisk Analytics using advanced statistical and ML techniques. AI-Powered Automation — Proven success in deploying LLM-driven chatbots, automated pipelines, and data integration frameworks that improved efficiency and revenue globally. Data Science & Analytics — Skilled in Python, Pandas, NumPy, Scikit-learn, Keras, NLP, and Time Series Forecasting for predictive modeling and client intelligence. End-to-End ML Lifecycle — From data engineering, model design, and testing to deployment, maintenance, and business integration. Financial Technology Innovation — Award-winning initiatives in automating front-office workflows and integrating AI into investment banking platforms. Recognized for: Increasing global sales revenue by 40% through AI-driven insights and ML automation. Building complete quant infrastructure for Equity QIS strategies, improving structuring efficiency by 60%. Winning Entrepreneur and Innovation Awards at HSBC for pioneering NLP and automation solutions. Career Objective: To contribute at the intersection of Financial Engineering and Artificial Intelligence, transforming investment banking operations through AI-first strategies and data-driven decision-making using the latest advancements in Agentic AI and ML.

Stackforce AI infers this person is a Fintech professional specializing in AI-driven quantitative research and trading strategies.

Location: Bengaluru, Karnataka, India

Experience: 12 yrs 4 mos