Product: Context-rich IP and Market reports using proprietary LLM garden with 100% accuracy in lightning-fast turn around time for just a fraction of the cost.•Managed end-to-end product development, from ideation to launch, led cross-functional teams for data-driven decisions and moved 10% of ideas to prototype in 3 months.•Spearheaded user research and tests with 600 prospects, identifying a 90% alignment with the value proposition, prioritizing features with a 70% higher appeal than competitors based on user feedback.•Communicated a strategic product roadmap to stakeholders, articulating intricate ideas with clarity, actively engaging, and swaying diverse groups garnering a 95% approval rate, and securing a 10% funding increase. •Created, measured, and evaluated product performance KPIs like user retention, churn rate, ARR growth, CSAT and NPS score for proactive iteration, resulting in a 20% uptick in user experience and a 40% reduction in reported issues.

Product: VetScan VS2/VS3 Microfluidic point-of-care immunoassay development for detection of diverse portfolio of biomarkers in infectious diseases, blood chemistry, electrolytes etc,.• Successfully led the development and launch of 10+ new AI-enhanced microfluidic immunoassays for the VetScan VS2/VS3, focusing on infectious diseases, blood chemistry, and electrolytes, resulting in a 20% increase in product line diversity and enhanced assay precision.• Collaborated with teams across 4 departments (R&D, engineering, QA, and marketing) to integrate AI algorithms into the VetScan VS2/VS3 optical analyzer, contributing to a 15% year-over-year growth in market share and significantly improving diagnostic accuracy.• Conducted comprehensive market analysis, identifying and targeting 3 key emerging trends in veterinary diagnostics, leading to the AI-driven development of assays that addressed previously unmet needs and captured 10% new market segments.• Established and maintained quality control standards for AI applications in immunoassay analysis, achieving a 99.8% accuracy rate in results and ensuring full compliance with international veterinary regulatory standards.• Actively engaged with over 50 external stakeholders, including key veterinary professionals and distributors, to promote the advanced AI capabilities of the VetScan VS2/VS3, leading to a 25% increase in customer satisfaction scores and fostering strong relationships that enhanced product reputation and adoption.

Ph.D. research in Biomedical/Computer science engineering focused on design and development of point-of-care microfluidic immunoassay and optimizing AI based pattern recognition model for rapid diagnostic test devices, achieving 98% accuracy and 60% faster predictive analysis.

Saliva Sampling and Microfluidic Capillary Flow Assay (MCFA) Lab-on-a-Chip for Point-of-Care Testing (POCT) of Stress Disorders• Designed, fabricated, and validated microfluidic capillary flow assay (MCFA) devices for fluorescence and chemiluminescence based detection of 12 protein and enzymatic biomarkers: cortisol, alpha-amylase, parathyroid hormone, histamine, malaria, TNF-α, CC-16, COVID-19 S & N-protein, and IgG & IgM antibodies.• Developed and optimized immunoassay antibody and reagent concentrations using ICH guidelines and GLP protocol for translation of conventional ELISA and FLISA protocols from 96-well and 384-well microplate format to microfluidic immunoassay platform.• Designed, developed, and assembled transmission-based portable fluorescence analyzer for quantitative detection of target analyte using microfluidic capillary-flow based POCT device.• Integrated advanced AI algorithms for real-time data analysis and interpretation in the fluorescence analyzer, enhancing accuracy and reliability in biomarker detection. This AI-powered approach allows for sophisticated pattern recognition, ensuring precise quantification and rapid diagnosis of stress disorders.• Implemented machine learning models to continually improve assay performance based on accumulated testing data, enabling the analyzer to adapt to new biomarker patterns and variations, which improves diagnostic efficiency and accuracy over time.