Narasimha Bandla
PMP-certified project manager and soil & plant scientist
New to Contra
Narasimha is ready for their next project!
Professional Credentials and Competency Overview
This sample consolidates my formal qualifications in one place. I hold five active certifications: P.Ag (http://P.Ag). (Professional Agrologist), PMP (Project Management Professional), CCSC (Certified Crop Science Consultant), a Transport Canada RPAS Pilot Certificate, and a Saskatchewan Pesticide Applicator License. My academic background includes an MSc in Plant Sciences from the University of Saskatchewan with a focus on wheat breeding, and I have a peer-reviewed publication in the Journal of Cereal Science. These credentials position me to evaluate AI outputs not just as a generalist, but as a licensed, practicing domain expert — which is a meaningful distinction for scientific accuracy tasks at Contra Labs.
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Agricultural AI Training Scenarios (Mercor)
This sample is the most directly relevant to Contra Labs. During my contract with Mercor as a Soil and Plant Scientist, I developed structured real-world agricultural scenarios to train and evaluate frontier AI models on soil science, crop physiology, and experimental design reasoning. I also reviewed and validated AI-generated outputs for scientific accuracy and field applicability — catching hallucinated statistics, misclassified soil types, and agronomically incorrect recommendations. This experience means I already understand what good AI training data looks like, what failure modes to watch for, and how to write precise, expert-level feedback that improves model quality.
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Multi-Site Wheat Breeding Trial Summary (BASF Canada Inc.)
This sample reflects my three-year role as Wheat Breeding Agronomist at BASF Canada, where I led breeding trial operations across 10 sites in Saskatchewan, Manitoba, and Alberta — managing over 100 acres annually. The work involved designing and executing multi-environment yield trials, maintaining comprehensive breeding databases, conducting statistical analysis using ANOVA and LSD mean separation, and supporting variety advancement decisions. It showcases my depth in experimental design, multi-location data management, and the kind of structured scientific reasoning that directly transfers to evaluating AI outputs in agricultural and biological domains.
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Microbial Biostimulant Field Trial Report (Loam Bio Inc.)
This sample represents my work as Field Trial Manager at Loam Bio Inc., where I designed and directed a national multi-site evaluation of microbial biostimulant products across 8 locations in western Canada. I managed the complete trial lifecycle—from protocol development and site selection through data collection, statistical analysis, and regulatory reporting. The sample demonstrates my ability to design statistically rigorous trials across diverse soil types and crop rotations, supervise contract research organizations, and translate complex agronomic data into actionable insights for product commercialization. This is core field research work conducted under real commercial constraints.
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