Mohd Abuzar

About Mohd Abuzar

I am an AI and Machine Learning enthusiast with a strong focus on building data-driven, real-world systems at the intersection of intelligence and engineering. My work centers around designing scalable ML pipelines, time-series modeling, and anomaly detection systems, with applications ranging from financial markets to intelligent automation. My approach combines rigorous feature engineering, statistical modeling, and modern machine learning techniques to solve complex, high-impact problems. With a background in electronics engineering, I bring a systems-level perspective to AI, bridging hardware, software, and data. I am particularly interested in non-stationary data modeling, adaptive systems, and research-driven AI solutions. I am always open to discussions around AI, quantitative systems, and building intelligent technologies that create measurable impact.

Experience

1. Ai Research Intern

   Starlab Capital

   Mar 2026 — Present · Peoria, IL, US

   Developing a real-time AI-powered irrigation decision engine, integrating weather, soil, and crop data to dynamically optimize irrigation schedules, targeting 20–30% reduction in water usage and improved yield efficiency.• Designing and refining adaptive ML-driven control logic for zone-level irrigation decisions, enabling continuous learning from field data and reducing manual intervention by ~40% while improving decision accuracy.

Education

• Good Shepherd Convent School, Bareilly

  Kindergarten(KG), Preliminary Education

• Aligarh Muslim University

  Intermediate , PCM

• Aligarh Muslim University

  Bachelor of Technology - BTech, Electronics and Communications Engineering

• National Institute of Technology Karnataka

  Bachelor of Technology - BTech

• Bishop Conrad Sr. Sec. School Dohna, Bareilly

  High School, Physics, Chemistry, Mathematics and Computer Science