Mohd Abuzar
Ai Research Intern @Starlab Capital
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WORK HISTORY
Ai Research Intern @Starlab Capital
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
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.
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