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Assessing your cultural and operational fit
AI Engineer | Entrepreneur | Built @DriveHer
I’m a B.Tech AI student, shaping my path one idea at a time. I previously co-founded and led DriveHer, a platform built to make travel safer and smarter for women. Entrepreneurship taught me something simple but powerful, patience grows results, and steady effort creates momentum. So I keep moving forward, go with the flow, trust the journey, and build with purpose. I stay curious everywhere I go, always interested in people, their stories, their strength, and the challenges they’ve overcome. These moments help me learn, think better, and grow. If you’d like to connect, just reach out. I’m always happy to listen.
Maulana Abul Kalam Azad University of Technology, West Bengal (MAKAUT, WB)
Bachelor of Technology - BTech, Artificial Intelligence
June 1, 2023 – June 1, 2027
NSHM College of Management and Technology
Bachelor of Technology - BTech, Artificial Intelligence
June 1, 2023 – June 1, 2027
Infosys Springboard
AI Intern
October 1, 2024 – January 1, 2025
Remote
DriveHer
CEO & Co-founder
October 1, 2024 – February 1, 2025
Kolkata
Data Fundamentals
IBM
June 23, 2026 – Present
Web Development Using Mern Stack
Globsyn Business School
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's experience as a CEO & Co-founder demonstrates a proactive and innovative mindset, which can be a strong cultural asset. The focus on a women-to-women ride-hailing startup shows social awareness and a drive to solve real-world problems. However, the overall breadth of technical projects and diverse team collaboration experiences beyond the startup context is not extensively detailed, making a full assessment of cultural fit challenging without further information.
Soft Skills & Operational Fit
The candidate's entrepreneurial background suggests strong initiative, problem-solving, and user-focused thinking. The experience in founding a startup, conducting user research, and preparing pitch decks indicates good communication and strategic planning abilities. However, the operational fit for a senior ML Engineer role is limited due to lack of direct technical project management or large-scale system deployment experience.