About me
I am a passionate tech-enthusiast with a 'can-do' attitude. I have a willingness to explore new languages, tools, and emerging technologies.
Full-Stack and AI/ML Developer with a passion for building innovative solutions that have a real impact. While being oriented toward personal growth, I am exploring ways to integrate models of generative AI or create the most cutting-edge web applications. Let's collaborate and turn ideas into reality!
What i'm doing
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AI/ML Projects
Exploring core concepts and practical applications of machine learning across various domains. Experienced with building, training, and evaluating models using popular tools and frameworks. Focused on developing scalable, data-driven solutions.
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Software & Web Development
Proficient in full-stack development using Java, Spring Boot, React, Node and MongoDB. Developed real-world applications including Artificial Intelligence. Continuously exploring new technologies to create efficient and user-friendly software solutions.
Education
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Northeastern University's Khoury College of Computer Sciences
Sept 2025 — Aug 2027Master of Science in Computer Science
Relevant Coursework: Programming Design Paradigm, Essentials of Data Science
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Dharmsinh Desai University
2021 — 2025Relevant Coursework : Machine Learning, Deep Learning, Artificial Intelligence, Full Stack Development, Object-Oriented Programming, Operating Systems, Advanced Java Technologies (JEE, Spring, SpringBoot, Hibernate), Distributed Computing (Docker, Kubernetes), Data and File Structures, Algorithms, E-Commerce and E-Security, Data Mining and Data Warehousing, Database Management System, Computer Networks, Theory of Computation, Microprocessors, Communication Systems, Compiler Design, Algebra, Calculus, Graph Theory.
Experience
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Software Development Intern | Hydrology Department
Indian Space Research Organisation, Ahmedabad, Gujarat
December 2024 — March 2025- Built end-to-end Python pipelines for river discharge estimation using satellite-derived data, applying a modified Manning's equation to automate hydrological computations.
- Processed and visualized large-scale geospatial and time-series datasets (shapefiles, NetCDF, CSV) using Pandas, NumPy, xarray, Matplotlib, and geopandas.
- Applied statistical methods including RMSE and KGE to validate outputs against in-situ data, contributing to data-driven decision making.
- Automated data matching and reach-wise correlation using Python scripting, focusing on reproducibility and efficiency.
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Research Assistant | Department of Information Technology
Dharmsinh Desai University, Nadiad, India
May 2024 — November 2024- Created a full-stack AI interview evaluation platform using React.js, Flask, and REST APIs, integrating LLaMA 3.2 LLM with a RAG pipeline and ChromaDB for semantic answer retrieval and scoring.
- Designed an NLP pipeline using LangChain and sentence-transformers for text embedding and cosine similarity matching, achieving 83.5% evaluation accuracy across 4 scoring criteria.
- Implemented a RESTful API backend supporting text and voice inputs with automated PDF report generation, reducing manual evaluation time by 70%; published in IEEE SCEECS 2025
