Failure Forecasting in IoT Using LSTM Autoencoder + LSTM
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Summary
Developed a two-stage deep learning pipeline for anomaly detection and failure prediction in IoT sensor data, leveraging Python and TensorFlow.
Highly motivated Computer Science & Engineering student with a strong foundation in AI/ML, deep learning, and full-stack development. Proven ability to design and implement innovative solutions, including AI-powered platforms for IoT anomaly detection and smart farming, and intuitive web applications. Seeking to leverage expertise in Python, TensorFlow, React, and FastAPI to contribute to challenging software development and machine learning projects.
Chair of UNHRC
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Summary
Chaired the UN Human Rights Council committee at VIT Bhopal Model United Nations (VITBMUN'25), facilitating constructive debate and resolution drafting.
Highlights
Led and moderated discussions among 50+ delegates on critical global human rights issues, ensuring adherence to parliamentary procedures.
Guided delegates in drafting and passing resolutions, enhancing diplomatic communication and problem-solving skills.
Event Management Team Lead
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Summary
Led the Event Management team for a university club, overseeing the successful planning and execution of multiple campus events.
Highlights
Coordinated logistics, promotions, and resource allocation for 5+ major university events, enhancing student engagement and club visibility.
Managed a team of 10+ volunteers, ensuring seamless execution and positive attendee experience for all club activities.
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Bachelor of Technology (B.Tech)
Computer Science & Engineering
Grade: CGPA- 8.55
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Senior Secondary (Class 12)
General Studies
Grade: Percentage: 85.6%
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Secondary Education (Class 10)
General Studies
Grade: Percentage: 91.6%
Issued By
Oracle Academy
Issued By
Algocamp
Issued By
Ethnus (Codemithra)
Issued By
Ethnus (Codemithra)
Supervised Learning, Unsupervised Learning, CNNs, LSTMs.
C++, Java, Python, HTML, CSS, JavaScript.
TensorFlow, PyTorch, Scikit-learn, OpenCV, Pandas, NumPy, Matplotlib, FastAPI, React.
GitHub, FastAPI, Ngrok, Postman, AWS.
Data Structures & Algorithms, Object-Oriented Programming (OOP).
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Summary
Developed a two-stage deep learning pipeline for anomaly detection and failure prediction in IoT sensor data, leveraging Python and TensorFlow.