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AI Engineer with experience in software testing automation and ML model deployment.
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AI/ML enthusiast and Computer Engineering student with practical experience in AI-driven software testing automation, contributing to improved workflow efficiency. Skilled in developing multimodal AI systems for disease detection and waste management, focusing on real-world deployment and ethical considerations. Proficient in Python, Machine Learning, and Generative AI, with certifications in AI for Business Leaders and AI Upskilling.
Padre Conceição College Of Engineering, Goa
BE · Computer Engineering
N/A – June 30, 2026
ACL Digital
AIML Intern
July 1, 2025 – September 1, 2025
Pune, Maharashtra, India
SkinCare AI Multimodal Skin Disease Detection
January 1, 2025 – Present
Multimodal AI system for skin disease detection using images, symptoms, and medical history. Tools & technologies used: Python, PyTorch, CNNs (ResNet/EfficientNet and many more), Transformers/LLMs, NLP, OpenCV, PostgreSQL,etc. Built an explainable AI pipeline integrating visual, textual, and contextual data, enabling transparent predictions with confidence scores, stepwise diagnostic reasoning, and bias-aware evaluation across diverse skin tones.
GreenEx Waste Detection and Recycling Companion
January 1, 2024 – December 31, 2024
Waste detection application designed to promote recycling habits and sustainable waste management. Tools & technologies used: Python, Computer Vision, CNN-based image classification, Flutter, Firebase, REST APIs. Developed an intelligent waste detection companion featuring user authentication, real-time waste classification, recycling reminders, and analytics to track disposal patterns and encourage sustainable practices.
Mnemoplay Learn Through Games
January 1, 2023 – December 31, 2023
Gamified Android learning platform designed to enhance engagement and knowledge retention through interactive gameplay. Tools & technologies used: Flutter, Android, AR (Augmented Reality), Firebase, Dart, REST APIs. Designed and developed an interactive learning app featuring user authentication, personalized learning paths, educational mini-games, and AR-based learning experiences to improve student engagement and retention.
AI For Business Leaders Bootcamp
Growth School
April 1, 2026 – Present
AI Upskilling Certificate
QUALCOMM Technologies International, Ltd.
February 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects showcase a diverse range of applications, from healthcare (SkinCare AI) to environmental sustainability (GreenEx) and education (Mnemoplay), indicating a broad interest and ability to apply AI in various domains. The internship at ACL Digital aligns well with industry practices in AI/ML. The certifications from Growth School and QUALCOMM further demonstrate a commitment to continuous learning and staying current with industry trends. The focus on practical, real-world applications in projects suggests a results-oriented mindset. Overall, the candidate appears to be a good cultural fit for an innovative and technically driven environment.
Soft Skills & Operational Fit
The candidate demonstrates initiative and a strong learning aptitude through self-directed projects and certifications. The internship experience highlights collaboration within a team on complex AI automation suites. The project descriptions indicate an ability to translate technical concepts into practical applications, suggesting good problem-solving skills. However, without direct assessment data, specific soft skill strengths like communication clarity, stress handling, or team collaboration cannot be definitively evaluated.