Anusha B.
AI PM | Building Agentic Systems for Clinicians
Greater Bengaluru Area
5+ years of work experience
Mar 20251 yr 6 mosPresent
Remote
Leading 0-to-1 product for an enterprise Clinical AI platform spanning patient operations, AI-assisted clinical documentation, and longitudinal patient profiles that surface vital trends and investigation history across visits.
On the patient operations side, I shipped a voice AI agent for appointment reminders achieving 95% intent recognition and automating attendance capture across 85% of patient conversations. A second voice agent for clinical intake and triage, achieving 90% specialty routing accuracy, is validated and pending production deployment.
For clinical documentation, I defined the product strategy for a system that converts consultations into structured, specialty-specific notes, automates ICD coding and medication normalisation, captures follow-up actions for downstream workflows, and integrates directly with EHRs. It currently achieves a 90%+ minimally edited note rate, reducing clinician documentation time by 2+ hours per day.
Across all of this I am building the evaluation framework that establishes clinician-reviewed benchmarks and release criteria for accuracy, safety, and reliability before anything goes to production.
Jan 20212 yrs 2 mosFeb 2023
Bangalore Urban, Karnataka, India
Animall is India's leading online cattle trading marketplace for dairy farmers, with 1 million MAU. I crafted effective product strategies, set clear goals, and executed outcome-focused roadmaps through seamless cross-functional collaboration.
* Boosted the app's Android Play Store rating from 4.45 to 4.74 by improving sellers' and buyers' experiences through diverse high-quality supply and connecting sellers with high-intent buyers.
* Increased cattle supply value by $4.5M/month by launching a farmer-facing chatbot, enabling non-tech-savvy dairy farmers to intuitively upload cattle details, and achieving a 14% increase in seller conversion.
* Enhanced supply quality ratings from 50% to 95% by designing a new semi-automated supply moderation tool, rating each cattle detail individually instead of providing an overall rating.
* Saved the moderation team 12k+ manual person-hours per year by leading the development and integration of an image duplication identification ML model into the semi-automated supply moderation tool.
* Improved home feed logic by deprioritising both low-conversion listings and listings with high demand (10+ calls), increasing the % of seller listings receiving at least one call from a potential buyer by 37% (60% -> 97%).
Mar 202010 mosDec 2020
Bangalore Urban, Karnataka, India
* Discovered a $3B TAM underserved market in US on-demand home-cooked meals delivery and proposed affordable healthy food, authenticity and subscriptions as opportunities to pursue.
* Developed an attractive subscription-based revenue model and loyalty program to attract and retain customers with an ARPU of $150.
Aug 20159 mosApr 2016
Hyderabad Area, India
* Owned and launched features such as a progress bar and image size optimisation, which reduced image bandwidth costs by 86%, resulting in infrastructure cost savings of $60K per year
* Reduced task completion time by 50% by allowing users to import all images from a project at once, saving 15 seconds for every 10 pictures uploaded
Nov 20149 mosJul 2015
Bangalore
Anusha’s AI Stack
Education
Bachelor's degree, Metallurgical Engineering
Indian Institute of Technology Roorkee
20094 yrs2013
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