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Software Engineer with less than a year in full-stack development, DevOps practices, and machine lea
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science Engineering student skilled in Data Structures, Algorithms, Web Development, Machine Learning, AWS, Docker, Jenkins, and CI/CD, with experience in full-stack development and DevOps practices.
KLE Dr M.S. Sheshagiri College of Engineering and Technology
Computer Science Engineering
August 1, 2022 – June 30, 2026
Khushi Technologies
Software Engineer Intern
June 1, 2025 – June 1, 2026
Bengaluru, Karnataka, India
FindMyStay
January 1, 2025 – December 31, 2025
Deployed a web-based hotel booking platform using Jenkins for CI/CD and Docker for containerization. Designed the frontend with HTML and automated the deployment pipeline for efficient delivery.
Credit Card Fraud Detection
January 1, 2025 – December 31, 2025
Developed a machine learning-based fraud detection system using transaction preprocessing and classification algorithms to identify fraudulent transactions and improve prediction accuracy.
Civic Connect: Bridging Communities and Authorities for a Better City
January 1, 2025 – December 31, 2025
Developed a Full-Stack Web Application for citizens to report local issues with images, geolocation, and descriptions. Connected reports to relevant authorities to enable timely resolution and improve civic engagement.
Classifying Patient Conditions from Drug Reviews Using NLP Techniques
January 1, 2025 – December 31, 2025
Built an NLP-based model to classify medical conditions from user drug reviews. Used text preprocessing, TF-IDF and machine learning classifiers to extract insights and predict conditions with good accuracy.
Infosys Springboard – Applied Generative AI
Infosys Springboard
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in web development, machine learning, and civic tech, suggesting adaptability and a willingness to explore different domains. The internship experience aligns with a typical software engineering role. The breadth of technologies used across projects indicates a proactive learning attitude. However, without specific cultural assessment data, a deeper analysis of cultural fit is limited.
Soft Skills & Operational Fit
The candidate lists Problem Solving, Leadership, and Communication as soft skills. Project descriptions indicate some collaboration and problem-solving in academic settings. However, without specific behavioral assessment data or interview insights, the operational fit and depth of these soft skills cannot be fully assessed.