Lalith Sapare

BSc Agriculture graduate with AI/ML certification in precision farming and crop analytics. Proficient in Python, Machine Learning, CNN for crop disease detection and yield prediction. RAWE rural farming and micropropagation internship experience.

Artificial Intelligence and Machine learning - Shyam Technologies

(2025-09 - 2026-03)

• Completed hands-on training in AI/ML using Python, Pandas, NumPy, and core machine learning concepts.
• Developed Agri Vision AI, a smart agriculture application combining ML prediction and DL-based crop monitoring modules.
• Built CNN models for crop disease, pest, stress, and nutrient deficiency detection from leaf images.
• Implemented a crop yield prediction model using agricultural datasets.
• Gained experience in model development, feature engineering, and deployment-focused implementation.

Micropropagation Intern - Atlantis Phytotech

(2024-10 - 2024-11)

• Produced disease-free banana plantlets using aseptic tissue culture techniques
• Executed sub-culturing and media preparation for bulk plant production
• Monitored plantlet growth and acclimatization processes

Rural Agriculture Work Experience - Guru Kashi University

(2024-09 - 2024-12)

• Engaged 50+ farmers to understand field-level crop practices and challenges
• Assisted crop production, pest management, and soil health initiatives
• Developed practical farmer interaction and agricultural problem-solving skills

BSc Agriculture (Honours) - Agriculture - Guru Kashi University (2021 - 2025)

BIPC (Intermediate) - BIPC - NRI Junior College (2019 - 2021)

SSC - SSC - Crescent Convent High School (2019)