Tejas Punde
@tejaspunde
Product Manager and Computer Engineer driving AI-powered automation and B2B fintech solutions.
What I'm looking for
I am a Product Manager and Computer Engineer with hands-on experience building AI automation, B2B fintech, and edtech products across full product lifecycles. I partner with founders, sales, and engineering to align product strategy with measurable business goals and customer needs.
I have led roadmap planning, backlog prioritization, and Agile ceremonies while creating detailed user stories, workflows, and acceptance criteria using JIRA, Confluence, and Monday.com. I launched AI-powered microtools and a GPT-integrated outreach system that improved job-match accuracy by 40%, halved application time, and doubled outbound engagement.
I focus on driving efficiency and scalable impact—cutting cost per job application from ₹18 to ₹5 and saving ₹13.5M annually—while using data, user feedback, and behavioral insights to optimize UX and conversion funnels.
Experience
Work history, roles, and key accomplishments
Product Manager
NewBridge Fintech
Jun 2025 - Present (4 months)
Driving roadmap and feature delivery for a B2B loan syndication platform used by global banks; aligned product strategy with client feedback and sales, and improved prioritization via data-driven sales performance analysis.
Product Manager
Ufaber Edutech Pvt Ltd
Aug 2024 - Jun 2025 (10 months)
Led full product lifecycle for Careerflow, launching AI microtools that improved job-match accuracy 40%, halved application time, and cut cost-per-application from ₹18 to ₹5, saving ~₹13.5M annually.
Project Intern
Symbiosis Institute of Technology
Jun 2023 - Mar 2024 (9 months)
Developed a loyalty program plugin for small businesses integrating ML models to predict customer behavior and recommend retention strategies; built datasets and models using Python and scikit-learn.
Education
Degrees, certifications, and relevant coursework
SIES Graduate School of Technology
Bachelor of Engineering, Computer Science
2020 - 2024
Grade: 8.6
Completed a Bachelor of Engineering in Computer Science with a GPA of 8.6, focusing on software development, machine learning, and product-focused projects.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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