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AI Engineer with 2+ years in AI/ML & Web 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 B.Tech Computer Science Engineering student with strong knowledge in web programming, including HTML, CSS, JavaScript, PHP, and C. Skilled in problem-solving, communication, teamwork, and adaptability. Experienced in Python programming, AI project-based learning, and academic research. Eager to apply technical abilities and contribute effectively to real-world software development projects.
Nehru College of Engineering and Research Centre - APJAKTU
B.Tech · Computer Science and Engineering
August 1, 2022 – Present
GBHSS
Higher Secondary
June 1, 2020 – May 31, 2022
THSLC
High School
N/A – May 31, 2020
Empathetic AI Wellness Companion — MindMate EDU
July 1, 2025 – June 30, 2026
AI-Powered Mental Health Support Chatbot
Smart Health & Lifestyle Recommendation System
June 1, 2025 – March 1, 2026
Analysis the medical conditions in medical report
A Real-Time Gesture Controlled Virtual Mouse System
March 1, 2025 – April 1, 2025
System using real-time hand movement tracking.
Python Programming – Vital Skills
Unknown
January 1, 2025 – Present
AI PBL Program
IBM SkillsBuild & CSRBOX Foundation
January 1, 2025 – Present
Research Publication
IJSREM Journal
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in AI applications, particularly in health and human-computer interaction, which aligns with innovative and impact-driven environments. The participation in a CTF challenge indicates a proactive and competitive spirit. However, the lack of professional experience or diverse project types beyond academic settings limits the assessment of broader cultural fit.
Soft Skills & Operational Fit
The candidate lists communication, leadership & team collaboration, time management, problem-solving & analytical thinking as soft skills. However, there is no practical experience or assessment data to validate these claims. The academic project descriptions are concise, but lack detail on team dynamics or problem-solving approaches.