About
Computer Science and Design Engineering student at RGIPT with experience in machine learning, research, and early-stage product development. Works on data-driven prediction, feature engineering, and software feature implementation across research and startup environments.
Experience
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Founding EngineerObliq-ioSep 2026 – Present
Contributed to early-stage product development and technical implementation; developed core software features and translated product requirements into scalable technical solutions.
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AI / ML InternGD AI SolutionSep 2026 – Present
Working on AI and machine learning solutions to solve complex data problems and enhance predictive analytics; developing data processing pipelines, model workflows, and evaluating ML architectures for target business applications.
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Research Intern / Machine Learning ResearcherRGIPT Research LabAug 2026 – Present
Working on phase change material (PCM)-based materials for thermal management applications; applying machine learning and data-driven methods to experimental and material-property data; conducting literature review, feature engineering, and ML model development for thermal behavior prediction; exploring physics-informed machine learning for efficient and physically consistent thermal prediction.
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Research InternIOncure AIJun 2026 – Present
Conducted literature reviews on rare earth minerals and biomedical applications in cancer diagnosis and treatment; analyzed research involving machine learning, medical imaging, and material characterization and supported scientific documentation.
Skills
Tools / apps / platforms
Projects
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Time Series Forecasting & Business Intelligence DashboardPython, ARIMA, Prophet, XGBoost, LSTM, Power BI
End-to-end forecasting pipeline and BI dashboard for financial trends and commodity prices; extracted technical indicators, conducted walk-forward validation, and built dynamic ensembles.
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Digit Classification using Deep LearningTensorFlow, Keras, Matplotlib, Python
CNN-based handwritten digit recognition system trained on MNIST-style datasets, achieving 95–98% classification accuracy.
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Health Risk AIPython, Pandas, NumPy, Scikit-learn
AI platform to predict patient health risk levels based on structured clinical diagnostic indicators; preprocessed medical datasets, executed feature engineering, and achieved 85–92% prediction accuracy.
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Women Safety Android ApplicationAndroid Studio, Java/Kotlin, Location APIs, Android UI Frameworks
Mobile safety solution for instant emergency response and real-time location sharing in distress; built 5+ UI screens enabling one-tap emergency alerts to 3+ contacts; ranked Top 5 among 400+ participants.
🏆 Achievements & awards
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Solved DSA problems across different coding platforms
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Ranked Top 5 among 400+ participants in Code For Her Hackathon organized by IEEE WIE RGIPT
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Qualified JEE Main · 2025
⚽ Extracurricular activities
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Member, Science & Tech Chapter
Member of S&T RGIPT.
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Member, Music Club (Singing)
Member of RGIPT music club.
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Active Player, Sports Clubs
Active player in RGIPT sports clubs.
🎯 Hobbies & interests
- Singing
- Sports