Cloud with less than a year in AWS, Linux, and Machine Learning.
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Assessing your cultural and operational fit
Highly motivated Cloud Intern with hands-on experience in AWS Cloud services, Linux, and Windows Administration. Proficient in scripting, automation, and designing scalable architectures using the AWS Well-Architected Framework. Skilled in Machine Learning and Natural Language Processing, demonstrated through impactful projects like InstaFree and Fire Detection. Eager to apply technical skills and problem-solving abilities to contribute to innovative technological solutions.
R.C.Patel Institute of Technology,Shipur
AIML · Artificial Intelligence & Machine Learning
August 1, 2021 – June 30, 2025
KAI SAU G F Patil JR College, Shahada
HSC
June 1, 2020 – May 31, 2021
Shree Satpuda Vidyalaya, Lonkheda
SSC
June 1, 2018 – May 31, 2019
InfraBeat Technologies
Cloud Intern
January 1, 2025 – June 1, 2025
India
Fire Detection Using Machine Learning
June 1, 2026 – Present
Developed a deep learning-based classification model using transfer learning to detect fires in surveillance video streams, enabling early detection and manual work reduction. Improved fire detection accuracy by leveraging video analytics, replacing traditional opto-electronic fire detection systems with limitations. Designed a cost-effective solution requiring no special infrastructure, domain knowledge, or prohibitive computation. Mitigated devastating consequences of fire accidents by providing a reliable and efficient solution for fire prevention and response.
InstaFree: Breaking the Scroll
June 1, 2026 – Present
Developed a personalized intervention system using NLP and Sentiment Analysis to combat Instagram addiction and its negative effects on sleep, mental health, emotional well-being, and real-life relationships. Designed a holistic approach to addiction recovery, providing users with real-time feedback, alternative activities, and mindfulness exercises to help them regain control over their digital habits. Improved user well-being by offering tailored recommendations, community support, and ensuring user privacy and autonomy. Utilized NLP and Sentiment Analysis to analyze users' behavior patterns and emotional states, enabling the system to provide effective and personalized interventions.
AWS Academy Graduate - Cloud Operations
AWS Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in impactful applications of technology (fire detection, addiction intervention), which aligns with a problem-solving and socially conscious culture. The internship at InfraBeat Technologies, focusing on Cloud operations, directly aligns with the target 'Cloud' role. The breadth of skills across Cloud, AI, and scripting indicates a versatile individual. However, the experience is limited to an internship and academic projects, which might require more mentorship in a fast-paced corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying new technologies, as evidenced by their internship experience and academic projects. Their ability to work with diverse technologies (AWS, Linux, Windows, AI/ML) suggests adaptability. The project descriptions indicate an understanding of problem-solving and impact-driven development. However, without specific psychometric test results, a deeper assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.