ABOUT ME
SHIVANI BHARADWAJ
HealthTech · Cloud & Enterprise Technology
I’m a technology and business professional working at the intersection of HealthTech, Enterprise Systems, AI, and Product Innovation. My experience spans enterprise software engineering, intelligent automation, AI/LLM-powered products, business analytics, and product strategy. As I expand into Healthcare Technology and Clinical Applications (Epic), I’m focused on building expertise across enterprise healthcare systems, workflows, data, and technology-enabled operations with a growing interest in AI-enabled HealthTech and intelligent products.
EDUCATION
University Of California, Riverside
MBA, BUSINESS ANALYTICS
CLASS OF 2023-2025
MPSTME, NMIMS University
MCA, COMPUTER SCIENCE
CLASS OF 2018-2021
University Of Mumbai
University Of Mumbai
BSC, INFORMATION TECHNOLOGY
CLASS OF 2015-2018
WORK EXPERIENCE
MANAGED SERVICES ASSOCIATE - Advisory
Stepping into HealthTech & Business Application Consulting, with a focus on Clinical Applications (Epic) within Managed Services. My role centers on supporting enterprise clinical applications, collaborating with clinical end users, optimizing system performance and workflows, troubleshooting application issues, and contributing to application reliability and continuous improvement. This experience expands my work at the intersection of business and technology, building deeper expertise in healthcare workflows, enterprise systems, and technology-enabled operations while developing a foundation for future innovation across HealthTech, AI-enabled products, intelligent automation, and product management.
Product Marketing Intern
Conducted market research and behavioral segmentation to define high-value user cohorts and identify workflow friction. Defined success metrics across engagement lift, onboarding conversion, and model-trigger accuracy thresholds. Structured experimentation pipelines (A/B + multivariate testing) to evaluate prompt logic, response ranking, and workflow automation performance. Balanced accuracy vs. latency trade-offs by setting confidence thresholds for response triggers, reducing onboarding drop-off by 18% and increasing engagement by 15%. Designed KPI dashboards that surfaced model confidence levels, experiment lift, and decision-path visibility, creating an internal AI layer for product and leadership teams.
Software Engineer
Collaborated with cross-functional product and business stakeholders to optimize workflows within UBS’s $39B wealth management platform deployed on cloud-native architecture. Identified enterprise customer use cases and operational pain points, driving 15% process efficiency improvements through data-driven enhancements. Designed process control rules analogous to training dataset guardrails, ensuring clean inputs before decision execution. Built structured data validation architecture across onboarding modules to reduce noise in downstream decision processes. Owned 40+ UAT scenarios simulating real-world edge cases functionally similar to validating a model against a test dataset to evaluate robustness. Developed KPI dashboards to monitor throughput, bottlenecks, and error drift.
Software Developer Intern
Built a scalable automation and validation framework supporting enterprise Privileged Access Management programs. Leveraged pyodbc, subprocess automation, regex-based error detection, JSON-standardized outputs, cron scheduling, and automated email alerts to execute, validate, and audit thousands of SQL scripts across multiple environments. Replaced manual SQL validation workflows with Python-based automation, reducing validation time by 40% and improving data accuracy by 20%. Implemented monitoring mechanisms, audit logging, and risk detection workflows to prevent production issues.
PROJECT WORK
AI-Enabled Medication Adherence & Remote Patient Monitoring
HealthTech • AI Product • Clinical Workflows • Patient Experience
Designed an AI-enabled medication management concept focused on improving adherence, patient safety, and caregiver visibility. The solution combines medication scheduling, missed-dose alerts, refill intelligence, emergency escalation, and remote adherence monitoring within a unified patient experience. Explored how predictive intelligence, conversational assistance, and workflow automation could reduce medication-management friction while enabling caregivers and healthcare teams to identify adherence risks earlier.
Product focus: Patient Experience • Remote Monitoring • Workflow Automation • Predictive Intelligence
Intelligent Remote Health & Safety Monitoring
AI • Wearables • Remote Patient Monitoring • Product Analytics
Designed the product strategy for a senior-focused wearable health monitoring experience integrating fall detection, vital tracking, medication reminders, and emergency-response workflows. Developed decision thresholds and confidence frameworks to balance detection accuracy, false alerts, and response latency, while defining product KPIs across alert accuracy, engagement, adherence, and emergency response time. Combined simplified UX and voice-enabled interaction to explore how intelligent monitoring technology can support safer, more independent aging.
Product focus: Predictive Monitoring • Product Analytics • Accessibility • Connected Health
Enterprise AI Governance & Automation — Product Case StudY
Enterprise AI • Responsible AI • SaaS • Product Strategy
Conducted a product and business analysis of an AI-powered enterprise productivity platform as part of an MBA technology-focused case study. Evaluated the platform’s approach to document automation, workflow efficiency, AI governance, and enterprise adoption. Analyzed product positioning, governance considerations, trust and transparency mechanisms, and potential applications across enterprise environments. Presented recommendations around product strategy, responsible AI adoption, and opportunities for scaling the platform across use cases.
My contribution: Product Analysis • Market & Use-Case Research • AI Governance Analysis • Strategic Recommendations • Presentation
AI-Enabled Personalized Wellness Platform
AI Product • Personalization • Behavioral Intelligence • Digital Health
Designed and led the development of an AI-enabled digital wellness platform exploring how behavioral signals, personalization, and proactive interventions can create more adaptive user experiences. Developed mood-classification and recommendation concepts, engagement-based personalization, lifecycle automation, and product analytics to tailor experiences based on changing user needs and behavioral patterns. Defined KPIs around engagement, retention, intervention effectiveness, and user behavior to connect AI-driven personalization with measurable product outcomes.
Product focus: Personalization • Recommendation Systems • Behavioral Analytics • Digital Health
LEADERSHIP & COMMUNITY
AGSM Women in Business Club, Vice-President (2024-2025)
As Vice President of AGSM Women in Business at UCR, I led initiatives to foster professional networks and mentorship opportunities for women, helping build a supportive community centered on collaboration, professional development, and growth.
AGSM Women in Business Club, Partnership Executive (2023-2024)
I spearheaded the marketing team's efforts to successfully promote and execute the UC Collaboration event. By fostering teamwork and strategic planning, I ensured seamless communication and impactful outreach to maximize event participation and engagement.
AGSM Women in Business Club, Case-Study Competition (2023-2024)
I collaborated with a team to analyze and present a Harvard Business Case Study on "Gucci in the Metaverse," delivering strategic insights to a board and panel of experts. Also developed innovative solutions and showcased business acumen, focusing on luxury branding and digital transformation in the metaverse.
Women In Product | Community Member (2026–Present)
Member of a global community of 30,000+ product professionals focused on advancing women in product through professional development, industry learning, networking, and advocacy. Engaging with the community around emerging areas including AI, product strategy, product leadership, and the evolving future of technology-driven products.