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Software Engineer with less than a year in Data Analytics & AI/ML 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
Motivated and detail-oriented Software Engineering graduate with hands-on experience in developing full-stack applications using React.js, Node.js, and Python. Strong foundation in Data Structures, Algorithms, and SQL. Actively seeking an entry-level software role to build scalable and efficient solutions.
Anurag University
Bachelor of Technology · Artificial Intelligence & Machine Learning
August 1, 2021 – June 30, 2025
TS Model School
Secondary School Certificate (SSC)
June 1, 2019 – May 31, 2019
Sri Chaitanya Junior College
Intermediate (MPC)
June 1, 2019 – May 31, 2021
Krutanic Solutions
Data Analytics Intern
January 1, 2025 – March 1, 2025
India
Edvedha
Hybrid Electric Vehicle Intern
May 1, 2024 – July 1, 2024
India
AI Medical Diagnosis Application
April 1, 2025 – Present
Developed LLM-based medical diagnosis system for symptom analysis. Built full-stack application with REST APIs integration.
Handwritten Character Recognition System
November 1, 2024 – Present
Implemented CNN model for character classification. Deployed model using Flask for real-time prediction.
AWS Academy Cloud Foundations
Unknown
June 1, 2026 – Present
Programming Essentials in Python
CISCO
June 1, 2026 – Present
AWS Cloud Certification
Unknown
June 1, 2026 – Present
Basics of Python
Infosys
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse applications of AI/ML and full-stack development. The internships, while varied (Hybrid Electric Vehicle, Data Analytics), show an eagerness to learn and apply technical skills in different domains. The target role of 'Software Engineer' aligns well with the full-stack and AI/ML project experience. The breadth of skills across programming languages, frameworks, databases, and cloud technologies suggests adaptability and a willingness to explore different areas, which can contribute positively to cultural fit within a dynamic engineering team. However, the experience level is '0', indicating a need for mentorship and structured onboarding.
Soft Skills & Operational Fit
The candidate's profile summary indicates motivation and detail-orientation. Participation in a sports club suggests teamwork and leadership potential. However, without specific psychometric or English test results, a comprehensive assessment of soft skills, work attitude, stress handling, and team collaboration is not possible. The project descriptions are clear but concise, indicating a functional level of communication.