📄 Research Publications & Scholarly Work
ReQuillify: A Learner-Driven Facility for Building Remediation Capacity in STEM Courses
Co-authored a peer-reviewed research paper proposing an automated, learner-centric remediation framework that streamlines assessment artifact extraction and feedback delivery at scale. Empirically validated in live course settings.
- Venue: ASEE Annual Conference 2026 (Peer-Reviewed)
- Role: Co-Author
- Focus Areas: Educational Automation, Learning Analytics, Scalable Assessment Systems
Analyzing Student GenAI Proficiency and Workforce Readiness Using Multi-LLM Pipelines
Co-authored a research study analyzing graduate student reflections to quantify AI proficiency, adoption depth, and ethical awareness using a multi-LLM and NLP-driven analytics pipeline.
- Venue: Teaching and Learning with AI Conference, UCF (Peer-Reviewed Abstract)
- Role: Co-Author
- Focus Areas: Generative AI in Education, NLP Analytics, Workforce Readiness
🚀 Projects Across the Tech Universe
Machine Learning–Driven Cricket Analysis and Match Outcome Prediction
Analyzed IPL Cricket match data (2008–2024) to clean, visualize, and engineer features, then built and compared logistic regression, Random forest, Gradient boosting, and XGBoost models, achieving 74.5% accuracy to predict match winners and guide team and stakeholder decisions.
- Tech Stack: Python, Numpy, Pandas, Machine Learning Algorithms, Sci-kit, Kaggle, Folium, Matplotlib, Seaborn
Scala-Based ETL Processing with Maven and PostgreSQL
Designed and implemented an ETL pipeline using Scala and Maven to process and refine large-scale datasets, substantially increasing processing efficiency and optimizing data retrieval performance with PostgreSQL.
- Tech Stack: Scala, Maven, PostgreSQL,IntelliJ
Microservices CRUD Application (In Progress)
Developing a microservices-based application with CRUD operations. Dockerized services and Kubernetes will be used to ensure scalable deployment.
- Tech Stack: Java, Spring Boot, Spring Cloud, Microservices, Docker, Kubernetes
🌌 Pipeline Automation with Apache Airflow
Developed an automated ETL pipeline system using Apache Airflow to streamline data extraction, transformation, and loading into SQL databases. The workflow included rigorous data validation, cleaning, and scheduling, ensuring high efficiency and timely data processing through Airflow’s Directed Acyclic Graphs (DAGs).
- Tech Stack: Apache Airflow, Python, SQL, REST API
🌌 Full-Stack Application with Spring Boot and React
Built a comprehensive full-stack application using Java, Spring Boot, and ReactJS. Designed with Material UI and Ant Design, the application includes robust backend APIs and a user-friendly, responsive front-end interface, ensuring a seamless and engaging user experience.
- Tech Stack: Java, Spring Boot, MongoDB, ReactJS, Material UI, Ant Design, Bootstrap
🛰️ JSON Data Parser
Engineered a JSON data parsing solution with Jackson JSON Parser for seamless conversion between JSON and Java objects. Optimized for complex data scenarios and large JSON datasets, the parser handles nested structures and enables efficient data manipulation with the Jackson Streaming API.
- Tech Stack: Java, Jackson JSON Parser, Maven
🌠 Text-to-Speech Generating System
Created a Python-based Text-to-Speech system using Kivy, which transforms text, images, and files into speech across multiple languages. Integrated gTTS API for text-to-audio conversion, Google Translator for multilingual support, and PyTesseract for OCR, allowing text extraction from images.
- Tech Stack: Python, Kivy, gTTS API, Google Translate, PyTesseract, Python Imaging Library (PIL)
🪐 E-Commerce Web App (Online Book Store)
Developed a dynamic online book store web application, featuring user authentication, genre categorization, and a responsive design for enhanced user experience. Designed with HTML, CSS, and JavaScript, the app provides smooth navigation and interaction for users.
- Tech Stack: Java, JavaScript, HTML, CSS, SQL