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Entry-Level AI Engineer with Data Science & Generative AI skills
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 and detail-oriented Data Science & Generative AI learner with strong analytical and programming skills. Seeking an entry-level position or internship to apply machine learning, Python programming, and GenAI skills to solve real-world business problems. Passionate about continuous learning and building efficient, scalable solutions.
SRI VENKATESWARA COLLEGE OF ENGINEERING, PENNALUR, SRIPERUMBUDUR
Bachelor's Degree · CIVIL ENGINEERING
N/A – June 30, 2023
SACRED HEART INTERNATIONAL SCHOOL, PAMMAM, MARTHANDAM
Higher Secondary Education · 12th Grade
N/A – Present
SACRED HEART INTERNATIONAL SCHOOL, PAMMAM, MARTHANDAM
Secondary Education · 10th Grade
N/A – Present
Hospital Management System (Full Stack)
June 30, 2026 – Present
Built an end-to-end management system with Python, Django, MySQL. Implemented user roles, patient management, lab technician login, and secure authentication. Used Git for version control and API integration.
View ProjectGenerative AI Chatbot (Learning Project)
June 30, 2026 – Present
Created a basic RAG-based chatbot using Python and LangChain. Integrated text embeddings and vector search to improve accuracy.
Data Science with Generative AI
Unknown
June 1, 2026 – Present
Python Programming Basics
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show an interest in both traditional full-stack development and emerging AI technologies, suggesting adaptability. The 'Generative AI Chatbot' project aligns with the target 'AI Engineer' role, indicating a focused interest. However, the overall breadth of experience is limited to personal projects, and the educational background in Civil Engineering suggests a career transition, which might require additional support for cultural and domain integration into a pure software engineering or AI team.
Soft Skills & Operational Fit
The candidate self-identifies as a quick learner, problem solver, strong analytical thinker, with good communication and team collaboration skills. However, these are self-reported and not validated by assessment data. The project descriptions are clear and concise, indicating decent written communication.