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AI Engineer with less than a year in Data Engineering, Web Design & 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
A highly motivated and creative graduate with a solid foundation in Web Designing and Data Science. Proficient in developing user-friendly, responsive websites using modern front-end technologies like HTML, CSS, and JavaScript. Possesses introductory experience with data pipelines and ETL concepts, and has applied AI/ML in significant projects.
Sasi Institute Of Technology And Engineering
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Narayana Junior College
Intermediate
June 1, 2020 – May 31, 2022
Smt. GMD Modern High School
SSC
June 1, 2019 – May 31, 2020
EduSkills Foundation
Data Engineering Virtual Internship
April 1, 2024 – June 1, 2024
India
AI-Based Public Infrastructure Complaint Analysis and Monitoring Dashboard System
June 24, 2026 – Present
Developed an AI-based system for detecting and monitoring public infrastructure issues such as potholes, garbage, water leakage, and road damage. Used YOLOv8 for image-based issue detection and Mistral-7B for automatic complaint description generation. Implemented complaint tracking, location-based monitoring, dashboard visualization, and hotspot analysis for efficient infrastructure management.
Python for Data Science
Great Learning
June 1, 2026 – Present
MongoDB
Infosys SpringBoard
June 1, 2026 – Present
DataBase Management System
NPTEL
June 1, 2026 – Present
Python Course Certification
simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project demonstrates initiative and an interest in applying AI to societal problems, which aligns with a proactive and impact-driven culture. The breadth of skills listed (front-end, back-end, databases, AI/ML) suggests a willingness to explore different technical areas. However, the limited professional experience means cultural fit beyond academic settings is largely unproven and would require further assessment during interviews.
Soft Skills & Operational Fit
The candidate's project work indicates a problem-solving orientation and an ability to apply technical skills to real-world scenarios. The academic nature of the project and limited professional experience suggest a need for structured guidance and mentorship in a professional operational environment. The objective statement mentions being 'highly motivated and creative', which are positive indicators for cultural fit and learning agility.