About
Computer Science Engineering student at Parul University specializing in Artificial Intelligence & Data Science, with internship and freelance experience in building AI/ML applications using Python. Focused on end-to-end solutions across healthcare, agriculture, logistics, and automation, with strengths in machine learning, deep learning, and software development.
Experience
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AI Data AssociateDeccan AI Experts2026 – Present
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AI Developer InternInfosys SpringboardFeb 2026 – Apr 2026
Built an AI-powered smart stock inventory application applying modular code design, Git version control, and structured peer code reviews.
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AI & Prompt EngineeringVault of CodesOct 2025 – Dec 2025
Developed web programs and other applications while completing tasks and learning models and logic through coding.
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AI Python Developer InternAICTEJun 2025 – Aug 2025
Developed and deployed AI/ML classification, regression, and NLP applications using Python in a structured internship program. Automated data ingestion and preprocessing pipelines using Python scripts, reducing manual processing time by 30%. Optimized ML model pipelines through feature engineering and hyperparameter tuning, improving model performance.
Education
- 2023
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2023
B.TechParul University of Engineering and TechnologyAwarded by Parul UniversityCSE (AI & Data Science) · 2023
Skills
Tools / apps / platforms
Projects
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Smart Stock AI Inventory SystemWeb frameworks, Python, Java, API, MongoDB, React, Vite
Web-based inventory management system designed for retail stores to streamline stock handling and automate AI workflows.
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Supply Chain for Logistics with AI IntelligencePython, React, Google Services, Firebase
AI-powered supply chain resilient logistics system designed to transform traditional supply chain operations into data-driven, adaptive, and resilient systems.
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AI Healthcare Diagnostic SystemPython, Scikit-Learn, SQL, PostgreSQL
Developed a patient risk prediction model and designed a scalable backend for PHI-safe medical record management.
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AI Agricultural Advisory SystemPython, Scikit-Learn, Pandas, REST APIs
Built an ML-powered crop advisory platform processing real-time soil and weather data, improving farming decision accuracy.
🏆 Achievements & awards
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1st Runner-Up — University Hackathon
Built and presented a complete end-to-end AI system against peers across engineering departments.
⚽ Extracurricular activities
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Hackathon Participation
Participated in many hackathons and other events, building impactful projects and strengthening problem-solving skills.
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University-Level Technical Competitions
Secured selection for university-level technical competitions based on coding and problem-solving skills.
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University-Level Coding and Technology Events
Achieved academic and technical recognition through university-level coding and technology events.