About
B.Tech Computer Science & Engineering student at Manipal University Jaipur with experience in web development, startup prototyping, and community esports operations. Builds full-stack and machine learning projects using modern web, cloud, and AI tools.
Experience
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Web DevelopmentMeta Scifor TechnologyMay 2025 – Jun 2025
Developed responsive frontend components and improved client-facing workflows for web applications, enhancing usability and interface consistency across devices.
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Web DevelopmentHywaizNov 2024 – Feb 2025
Conducted on-ground market research and built the initial app and web prototype; pitched at CoCreate and secured pre-incubation at AIC MUJ.
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Events CoordinatorIAESTE LC MUJJan 2024 – Apr 2024
Organized partnership-based events and increased IAESTE MUJ visibility through planning and outreach.
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Operations, HR & Team ManagementFreelance2020 – 2023
Managed player recruitment, sponsor outreach, content/editor team coordination, event organization, and competitive roster management for community-level esports teams.
Education
- 2027
Skills
Tools / apps / platforms
Languages
Projects
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Gemini API, FastAPI, Railway, Docker, Razorpay, Resend
Full-stack AI web platform using Gemini API for multi-turn astrological analysis with structured prompt engineering. Deployed FastAPI backend on Railway with a custom Dockerfile; integrated Razorpay and Resend for transactional email; resolved an SEO bug blocking Google crawlers from tool pages.
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Python
Performed feature extraction and multimodal model training on handwriting and voice datasets for early Parkinson’s disease detection. Optimized model performance through feature engineering, hyperparameter tuning, and overfitting prevention techniques, achieving 99% handwriting accuracy and 89% fusion model accuracy.
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Python
Performed exploratory data analysis, data preprocessing, and feature engineering on customer behavior datasets to identify key churn indicators. Built and evaluated machine learning classification models for customer churn prediction using Scikit-learn, optimizing performance through feature selection and hyperparameter tuning.
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Gemini API, FastAPI, Railway, Docker, Razorpay, Resend
Full-stack AI web platform using Gemini API for multi-turn astrological analysis with structured prompt engineering. Deployed FastAPI backend on Railway with a custom Dockerfile; integrated Razorpay and Resend for transactional email; resolved an SEO bug blocking Google crawlers from tool pages.
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Python
Performed feature extraction and multimodal model training on handwriting and voice datasets for early Parkinson’s disease detection. Optimized model performance through feature engineering, hyperparameter tuning, and overfitting prevention techniques, achieving 99% handwriting accuracy and 89% fusion model accuracy.
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Python
Performed exploratory data analysis, data preprocessing, and feature engineering on customer behavior datasets to identify key churn indicators. Built and evaluated machine learning classification models for customer churn prediction using Scikit-learn, optimizing performance through feature selection and hyperparameter tuning.
🏆 Achievements & awards
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4th Place at 3rd International Symposium · 2025
Placed 4th out of 30 teams for presenting a research paper on multimodal explainable AI for early detection of Parkinson’s disease.
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Pre-Incubated Startup · 2024
Pre-incubated Hywaiz through AIC MUJ.
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Algorithmic Competitions and Achievements
Finalist at Synaptix Frontier AI Hackathon organised by IIT Madras; 5th at IRIS, IIM Indore’s Annual Fest; finalist at Innovate Pitch organised by IIIT Nagpur.