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AI Engineer with less than a year in software development 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 and Engineering graduate with a strong foundation in software development, problem-solving, and analytical thinking. Experienced in building academic and internship projects, with a keen interest in Artificial Intelligence, Machine Learning, and emerging technologies. Quick to learn new concepts, adaptable to dynamic environments, and effective in collaborative team settings. Seeking an opportunity to contribute to innovative software solutions while continuously expanding technical expertise.
APJ Abdul Kalam Technological University
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2026
BioSentry AI-Based Adverse Drug Reaction Monitoring System
June 27, 2026 – Present
Developed a real-time Adverse Drug Reaction (ADR) monitoring system that integrates IoT wearable sensors, computer vision, and machine learning for early risk prediction during drug administration. The system continuously monitors vital signs such as heart rate, oxygen saturation, body temperature, blood pressure indicators, and skin conductance, while analyzing facial expressions and body posture to detect potential ADR symptoms. Implemented multimodal data analysis to classify patient risk levels and enable proactive healthcare monitoring and automated alerts.
Restaurant menu card using augmented reality
June 27, 2026 – Present
Developed an interactive restaurant menu system using augmented reality that overlays 3D visuals of food items on physical menu cards when viewed through a mobile device. This enhanced the customer experience by providing realistic previews of dishes, ingredients, and nutritional info. Implemented using Unity and Vuforia SDK (or ARCore/ARKit), with marker-based AR tracking
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in innovative and interdisciplinary applications of AI, such as healthcare monitoring and augmented reality. Their participation in various internships (Python, Robotics with AI, Full Stack Web Development, Artificial Intelligence) shows a proactive approach to learning and gaining diverse experiences. This breadth of interest and willingness to explore different technical domains suggests a good cultural fit for a dynamic and innovation-driven team. However, the lack of professional experience means their ability to navigate corporate culture and long-term team dynamics is unproven.
Soft Skills & Operational Fit
The candidate's resume highlights strong problem-solving, communication, and teamwork skills, which are crucial for collaborative engineering environments. Their quick learning ability and adaptability are positive indicators for operational fit. However, without specific examples or behavioral assessment, the depth of these soft skills cannot be fully validated.