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Software Engineer with 1+ years in full-stack development using React, Python, and AWS.
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Assessing your cultural and operational fit
Associate Software Engineer with 1.5+ years of experience in full-stack development using React, Python, FastAPI, and AWS. Experienced in building scalable AML, KYC, and task management systems with role-based access control. Strong in REST APIs, system design, and performance optimization.
Gandhi institute of engineering and technology
Masters in Computer Application
August 1, 2022 – June 30, 2024
Hebbale Academy
Associate Software Engineer
March 1, 2025 – January 1, 2026
Bengaluru, Karnataka, India
Hebbale Academy
Associate Software Engineer
November 1, 2024 – February 1, 2025
Bengaluru, Karnataka, India
Hebbale Academy
Trainee Software Engineer
August 1, 2024 – October 1, 2024
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate has worked on diverse projects within a single company, including an Anti-Money Laundering system, a task management system, and a solar energy comparison tool. This demonstrates adaptability and a willingness to tackle different problem domains. The consistent use of modern tech stacks (React, Python, AWS) across projects indicates a contemporary skill set. The experience with role-based access control and collaborative features suggests an understanding of team dynamics and security considerations, which aligns with a collaborative and responsible work culture. The breadth of skills across frontend, backend, database, and cloud technologies indicates a versatile individual who can contribute to various aspects of a project.
Soft Skills & Operational Fit
The candidate's resume indicates a structured approach to problem-solving and project execution, as evidenced by their detailed descriptions of system architecture and feature implementation. Their work on AML and task management systems suggests an ability to handle complex requirements and collaborate on full-stack solutions. The emphasis on API reliability and performance optimization points to a detail-oriented and quality-conscious mindset. However, without direct assessment data on communication or teamwork, these are inferred from the project descriptions.