P29_Mritunjay

Developed real-time Computer Vision ML/DL systems for human activity monitoring and intelligent applications. Designed and optimized deep learning pipelines using TensorFlow, OpenCV, and Python for video analytics and image-based inference systems. Improved model inference latency and GPU training efficiency through preprocessing optimization, feature engineering, and batch pipeline enhancements.

ML/DL Software Engineer at Harman International (2025-07 – 2026-04)

• Developed real-time Computer Vision ML/DL systems for human activity monitoring and intelligent applications.
• Designed and optimized deep learning pipelines using TensorFlow, OpenCV, and Python for video analytics and image-based inference systems.
• Improved model inference latency and GPU training efficiency through preprocessing optimization, feature engineering, and batch pipeline enhancements.
• Processed and organized large-scale video datasets into structured frame sequences for multi-person activity recognition and behavioral analysis tasks.
• Contributed to debugging, testing, and deployment of AI modules on GPU-enabled environments for stable real-time execution.

Quant Researcher/Developer Intern at KRIN'S (2024-10 – 2025-03)

• Developed and deployed algorithmic trading bots for Indian equity and derivatives markets using Python.
• Applied time-series analysis, stochastic processes, correlation modeling, and volatility estimation for market forecasting and trade optimization.
• Built automated backtesting pipelines for evaluating strategy performance on historical market data.
• Worked with probability distributions, covariance matrices, and regression models to analyze market behavior and improve signal accuracy.
• Integrated real-time market data processing and trade execution systems for automated trading workflows.

B.Tech in Mechanical Engineering – Indian Institute of Technology(IIT) Kanpur (2021 – 2025)