Help & Supportcareers@gravityer.com
AI Engineer with less than a year in AI/ML technologies and full-stack development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech CSE (AIML) graduate with a strong foundation in AIML technologies, Python, Machine Learning, Deep learning. Seeking an entry-level AI/ML opportunity to apply my technical skills in developing intelligent solutions, contribute to innovative projects, and continuously grow as an AI professional.
Brainware University
B.Tech · Computer Science & Engineering (AI & ML)
August 1, 2022 – June 30, 2026
Indian Space Lab
Summer Internship
June 1, 2025 – July 1, 2025
India
Medical-diagnostic-agent
May 1, 2026 – Present
Developed a full-stack, Deep learning system to assist radiologists by matching Chest X-rays with professional clinical narratives.
View ProjectAI Interview Evaluator
October 1, 2025 – November 1, 2025
Developed a Full-stack NLP Based web application to automate the technical and HR interview evaluation process.
View ProjectVirtual Internship at “Deloitte”
Deloitte
July 1, 2025 – Present
Industrial Training at “Intel-Unnati” in AI, ML & Deep Learning
Intel-Unnati
April 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and practical application in AI/ML, aligning well with an AI Engineer role. The diversity of projects (NLP for HR, Deep Learning for medical diagnostics) shows a breadth of application interest. The pursuit of certifications and internships indicates a drive for continuous learning and professional development, which generally aligns with a growth-oriented culture. However, as an entry-level candidate, the breadth of real-world team collaboration experience is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to conceptualize and execute end-to-end AI/ML solutions. The full-stack nature of the projects suggests a holistic approach to problem-solving. However, without specific behavioral or situational assessment data, it is difficult to fully evaluate soft skills like teamwork, problem-solving under pressure, or adaptability. The internships and certifications suggest a proactive learning attitude.