Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Machine Learning & Deep 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 Engineering student specialising in Artificial Intelligence and Machine Learning with hands-on experience in building real-world AI applications. Skilled in Python programming, Machine Learning, Deep Learning, and Computer Vision with a strong ability to solve technical problems and develop practical software solutions.
Jawaharlal Nehru Technological University – UCE Wanaparthy
B.Tech · Computer Science Engineering (AI & ML)
August 1, 2022 – June 30, 2026
Sri Chaitanya Junior College
Intermediate Education · 12th Grade
N/A – Present
St. Joseph's High School
High School · 10th Grade
N/A – Present
AI Multi-Modal Healthcare Diagnostic Agent
June 18, 2026 – Present
Built a multi-modal AI system integrating clinical text, medical images, audio, and healthcare records. Implemented CNNs, LSTMs, and Transformer-based attention models for advanced diagnostics. Integrated Explainable AI (XAI) using Grad-CAM and SHAP to provide transparent predictions. Developed an LLM interaction layer supporting voice and text-based clinical queries.
Driver Drowsiness Detection System
June 18, 2026 – Present
Developed a real-time driver monitoring system using facial landmark detection. Implemented EAR and MAR algorithms to detect and classify drowsiness conditions. Achieved 95.58% sensitivity and 100% specificity using an SVM classifier. Built a live Streamlit interface with real-time video feedback and automated alert systems.
Cultural Fit Analysis
The candidate's projects demonstrate an interest in applying AI to diverse domains like healthcare and real-time monitoring, which indicates a proactive and application-oriented mindset. The focus on AI/ML aligns well with an AI Engineer role. However, the lack of professional experience and team-based projects limits the assessment of cultural fit beyond academic contributions.
Soft Skills & Operational Fit
The candidate lists 'Problem Solving', 'Team Collaboration', 'Analytical Thinking', and 'Project Management' as soft skills. While these are relevant, there is no evidence from completed tests or professional experience to validate these claims. The academic projects suggest some level of problem-solving and project execution.