Help & Supportcareers@gravityer.com
Software Engineer with less than a year in Web Development & AI/ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To pursue a career as a Software Engineer where I can not only apply my technical skills but also collaborate with teams, create meaningful solutions, and contribute to technology that improves people's lives. Aspiring Software Engineer seeking to combine technical expertise with creativity and empathy, developing software that makes a positive difference while growing as a responsible professional.
GIFT Autonomous College
BTECH · CSE(AI)
N/A – Present
Rajdhani Higher Secondary School of Science, Arts and Commerce
Intermediate · Science, Arts and Commerce
N/A – May 31, 2023
Sri Aurobinda Integral Education Centre
Matriculation
N/A – May 31, 2021
Web Bocket
Internship on “Backend Web Development”
May 26, 2025 – July 11, 2025
Bhubaneshwar, Odisha, India
Skill Development Institute
Internship on "IT/OT Integration”
July 1, 2024 – July 31, 2024
Bhubaneshwar, Odisha, India
NPTEL Elite Certification in Introduction to Industry 4.0 and Industrial Internet of Things
NPTEL
January 1, 2025 – Present
NPTEL Certification in Introduction to Internet of Things
NPTEL
January 1, 2024 – Present
NPTEL Certification in Software Testing
NPTEL
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's career objective expresses a desire to collaborate and create meaningful solutions, which aligns with a team-oriented culture. The diverse certifications and exposure to different domains (web development, IoT, IT/OT integration) suggest an openness to learning and adapting to various technical environments. However, the lack of detailed project descriptions or extracurricular activities makes a deeper assessment of cultural fit challenging.
Soft Skills & Operational Fit
The candidate lists 'Time Management', 'Adaptability', and 'Creativity' as strengths. While these are valuable, there is no evidence from the provided data (tests, projects, detailed descriptions) to validate these claims in a professional context. The internships are short-term and lack detailed descriptions of responsibilities or outcomes, making it difficult to assess operational fit.