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AI Engineer with less than a year in NLP, Deep Learning, and data-driven solutions.
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Assessing your cultural and operational fit
Highly motivated AI/ML enthusiast with a strong academic record and practical experience in developing data-driven solutions. Proficient in Python, Machine Learning, Deep Learning, and NLP techniques, with a proven ability to deliver impactful projects such as an AI-powered resume analyzer, a Vision-RAG AI system, and real-time error monitoring tools. Eager to contribute to innovative AI research and intelligent system development.
JNTUH University
B.Tech · Computer Science and Engineering
August 1, 2023 – June 30, 2027
AI Resume Analyzer
June 1, 2026 – June 1, 2026
Developed an AI-powered resume analyzer with ATS score evaluation. Used NLP techniques for keyword extraction and job matching. Improved resume screening and candidate analysis process.
View ProjectVision-RAG AI Project
June 1, 2026 – June 1, 2026
Built a Retrieval-Augmented Generation system integrated with computer vision. Worked on image understanding and AI-based information retrieval. Improved intelligent response generation using AI models.
View ProjectSentry
June 1, 2026 – June 1, 2026
Developed a real-time error monitoring and tracking system using Sentry concepts to detect, log, and analyze application crashes efficiently. Implemented automated alert notifications and detailed error reports to help developers quickly identify bugs, improve debugging speed, and enhance application reliability. Integrated backend and frontend monitoring features with dashboards for performance tracking, issue prioritization, and system health analysis to ensure smooth user experience.
View ProjectSVIT Campus Connect
June 1, 2026 – June 1, 2026
Developed the SVIT Campus Connect platform to streamline communication between students, faculty, and administration through a centralized digital system. Implemented features such as event updates, attendance tracking, notices, and academic resource sharing to improve campus engagement and information accessibility. Designed a user-friendly interface with secure login and database integration to ensure efficient data management and seamless user experience across the campus community.
View ProjectArtificial Intelligence Fundamentals
Unknown
June 1, 2026 – Present
Machine Learning Certification
Unknown
June 1, 2026 – Present
Python Programming Certification
Unknown
June 1, 2026 – Present
Data Science Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a breadth of interest from AI/ML applications (Resume Analyzer, Vision-RAG) to general software development (SVIT Campus Connect, Sentry). The target role is 'AI Engineer', which aligns well with the candidate's project focus and certifications. However, all projects are academic, and there is no professional experience, which limits the assessment of cultural fit in a corporate environment. The candidate is still pursuing a B.Tech degree, indicating a junior profile.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on problem-solving (AI Resume Analyzer, Sentry) and system development (SVIT Campus Connect). Collaboration is mentioned in the internship description. However, without specific psychometric test results or interview data, a detailed assessment of soft skills like logical reasoning, stress handling, and team collaboration is not possible.