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Product Manager with 10+ years in Agile Software Development & AI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A passionate problem solver and a data-driven Scrum Product Owner with 9 years of hands-on experience in lean software development and quality assurance. Proven ability to bridge the gap between technical teams and business stakeholders to deliver high-quality software products which help accelerate productivity of customers. Completed a postgraduate program in Product Management, leveraging a strong foundation in agile product engineering and testing to excel as a Product Manager.
K.K.Wagh Institute of Engineering Education & Research, Nashik
Bachelor's degree · computer science engineering
January 1, 2012 – January 1, 2016
Accredian (Formerly known as INSAID)
Post Graduate Program · Product Management
N/A – June 1, 2024
Publicis Sapient
Senior AI Product Manager
January 1, 2025 – Present
India
NVIDIA
Product Owner
January 1, 2019 – January 1, 2025
India
NVIDIA
SDET
January 1, 2016 – January 1, 2019
India
Certified Scrum Product Owner (CSPO)
Scrum Alliance
May 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse experience across SDET, Product Owner, and AI Product Manager roles at NVIDIA and Publicis Sapient, coupled with a CSPO certification and a recent Post Graduate Program in Product Management, indicates a strong drive for continuous learning and professional growth. Their involvement in projects that improve internal stakeholder productivity and their ability to bridge technical and business gaps suggest a collaborative and customer-focused mindset. The breadth of their technical and tool skills (C++, Python, JavaScript, JIRA, AHA, Miro, Kibana, CI/CD Jenkins) also points to adaptability and a willingness to engage with various technologies and methodologies, which are positive indicators for cultural fit in dynamic environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities and adaptability, evidenced by their career progression from a technical role (SDET) to product leadership. Their experience in managing complex projects like the Bug Automation Tool and Hardware Tracker System, which involved leveraging advanced technologies (DL, agent-based systems), indicates a proactive and results-oriented approach. The description of their current role as Senior AI Product Manager highlights leadership in developing an intelligence platform, suggesting strong operational fit for roles requiring strategic product vision and execution.