Vinitha Thiyagarajan Upaassana, Ph.D. Email & Phone Number

Corte Madera, CA, US

Cincinnati, OH, US

• 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.

Parsippany, NJ, US

• 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.
• 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.
• 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%.
• 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.
• 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.

Cincinnati, Ohio, US

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.

Cincinnati, OH, US

• 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.
• 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.
• 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.
• 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.

Ph.D., Electrical/Computer Science Engineering

Bachelor Of Engineering - Be, Electrical, Electronics And Communications Engineering

High School