Keertana Vellanki
Product Manager at upliance.ai
Bengaluru
3+ years of work experience
Sep 20242 yrs 3 mosPresent
Bengaluru, Karnataka, India
• Led end-to-end product development for a major component of Upliance 2.0, translating customer and business needs into product requirements, collaborating with Design and Engineering, and driving launch and post-release iteration.
• Directed the OS1 to OS2 product migration for 6,000+ users, owning migration strategy, product communication, feature parity, release readiness, and post-migration issue resolution.
• Owned product initiatives across device software, mobile app, AI chatbot, discovery, analytics, and user experience, prioritizing product opportunities and coordinating execution across Engineering, Design, Data, CX, Marketing, Sales, Brand and Leadership.
• Optimized the AI recipe-generation pipeline across retrieval, validation, generation, and UX, addressing failure modes from reference-recipe selection through final output.
• Increased user sessions by 40% by analyzing behavioral data, identifying high-value user segments, and optimizing personalized recommendations.
• Developed a 7-day onboarding risk-scoring framework to prioritize high-risk users and redesigned onboarding, achieving 85% retention.
• Conducted user research and synthesized customer conversations, community feedback, support tickets, and product usage data to identify recurring pain points and inform product roadmap and feature prioritization.
•Designed and executed A/B experiments from hypothesis development and metric definition through rollout and post analysis.
•Built product analytics dashboards tracking retention, activation, feature adoption, and session health, improving visibility into product performance and enabling decision-making.
•Developed a Retool dashboard for homepage customization, increasing personalized homepages by 50%, and implemented mobile-app ratings that increased sessions by 25%.
•Planned and executed multiple software releases, coordinating requirements, development, QA, analytics, bug resolution, launch readiness, and post-release monitoring.
Jul 202210 mosApr 2023
New York, New York, United States
• Redesigned RESTful APIs to address seller workflow inefficiencies, reducing seller processing time by 80% and improving the overall seller experience.
• Developed a seller inventory validation service integrating with 10 partner teams, coordinating technical requirements and dependencies to improve data validation and service reliability.
• Streamlined onboarding procedures for sellers integrating with Amazon Today service, identifying process gaps and implementing improvements to increase operational efficiency.
• Collaborated with Partner Success teams and client stakeholders to gather user feedback, evaluate service effectiveness, and identify opportunities for product and service enhancements.
May 20219 mosJan 2022
Raleigh, North Carolina, United States
• Evaluated privacy policies across 20 companies and 12 categories, synthesizing findings on organizational data privacy practices as part of a collaboration with Auburn University.
• Inspected different categories of the privacy policies of companies and summarized the similarities.
May 20192 mosJun 2019
Chennai, Tamil Nadu, India
Trained in Distributed Control System, Programmable Logic Controller, SCADA System, and Basic Instrumentation. Explored the TotalPlant Solution and Experion and the working of its control network. Configured the alarms and gained an introduction to the software.
Aug 20184 mosNov 2018
Hyderabad, Telangana, India
Keertana’s AI Stack
Education
Master of Science - MS, Computer Science
North Carolina State University
20211 yr2022
B.Tech, Electronics and Communications Engineering
Jawaharlal Nehru Technological University
20164 yrs2020
Join Keertana and 10k+ other professionals on
Tal is the app where bosses meet engineers & builders directly, without middlemen
Download Tal Boss