Lead UI/UX Designer with 8+ years in AI Product Design & Prototyping.
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Experienced AI Product Designer and Vibe Coder with 8.8 years of expertise in leading end-to-end product design for web and mobile products. Skilled in leveraging AI-assisted development tools like Claude Code and Google AI Studio to rapidly transform ideas into functional prototypes. Proven ability to drive feature adoption and improve task completion rates through intuitive user journeys, interaction patterns, and robust design systems.
HVPM's College of Engineering and Technology, Amravati University
Bachelor of Engineering · Computer Science and Engineering
July 1, 2013 – May 1, 2018
Freelance Design Consultant
Freelance Design Consultant
April 1, 2024 – Present
Nagpur, Maharashtra, India
Dario Health
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TOJOPO
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June 1, 2018 – November 1, 2022
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Hoaxlie.com
Freelance UX/UI Designer
April 1, 2017 – April 1, 2018
Nagpur, Maharashtra, India
UX UI Design Foundation
UXCel
October 1, 2020 – Present
Visual Elements of User Interface Design
California Institute of the Arts on Coursera
May 1, 2019 – Present
Cultural Fit Analysis
The candidate's diverse project experience across various industries (Fin-tech, EdTech, Healthcare, E-commerce, B2B/B2C, SaaS) and roles (freelance, product designer, senior product designer) suggests adaptability and a broad understanding of different business contexts. Their current freelance role involving AI-powered products aligns with innovative and forward-thinking environments. The certifications in UX/UI design further demonstrate a commitment to continuous learning and professional development, which is a positive cultural indicator. The candidate's experience level and stated target role as 'Lead UI/UX Designer' align well with the depth of their experience.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in design, problem-solving through user journey optimization, and a collaborative approach by involving all parts of the design process. Their freelance experience suggests autonomy and initiative. The focus on increasing feature adoption and task completion rates indicates a results-oriented mindset. The use of AI-assisted tools points to adaptability and a willingness to integrate new technologies into their workflow.