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AI Engineer with less than a year in Artificial Intelligence and Machine Learning
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 undergraduate specializing in Artificial Intelligence and Machine Learning. Proficient in Python and Java, with experience in developing AI-based and data-driven applications. Possesses strong problem-solving and analytical skills, seeking an internship or entry-level role in software or AI development.
Alliance University
B.Tech · Computer Science and Engineering (AI & ML)
August 1, 2022 – June 30, 2026
Sri Chaitanya Junior College
PUC (BIEAP)
N/A – May 31, 2022
Sri Chaitanya EM High School
SSC
N/A – May 31, 2020
Music Recommendation System Using Facial Expressions
June 4, 2026 – Present
Built an AI-based system to recommend music by detecting user emotions from facial expressions. Applied image processing and machine learning techniques for emotion recognition.
AI-Based Chatbot for College Enquiry System
June 4, 2026 – Present
Designed an AI chatbot using the Rasa framework to automate college enquiry responses. Improved accessibility and reduced manual query handling.
Secured Face Recognition for Attendance Verification
June 4, 2026 – Present
Developed a secure face recognition system using Python, OpenCV, TensorFlow. Reduced proxy attendance and improved accuracy compared to manual systems.
Azure AI Fundamentals
Microsoft
January 1, 2025 – Present
Machine Learning with Python
Coursera
January 1, 2024 – Present
Data Structures
Coursera
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects are all academic and focused on AI/ML, which aligns well with an AI Engineer role. The diversity of projects (facial recognition, recommendation systems, chatbots) shows a broad interest within AI. However, the lack of team-based projects or professional experience limits the assessment of cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to apply technical skills to solve real-world problems, suggesting good problem-solving and analytical skills. The academic nature of projects and lack of professional experience means operational fit and collaboration skills are currently unproven.