Jan 2024 – Apr 2024 · 3 mos · United States

• Developed an application for professors to get recommendations based on their research interest
• by implementing MVC architecture using spring frameworks and interacting with database using
• Spring Data JPA.
• Led predictive modeling for Texas energy consumption, analyzing ERCOT data with Python and SQL, enhancing forecast accuracy for diverse timeframes.
• Utilized Python for statistical and machine learning analysis, employing ARIMA, Random Forest, and Gradient Boosting Machines to decode energy use patterns.

Jun 2023 – Dec 2023 · 6 mos · United States

• Facilitated data migration by leveraging web API's, conducting data manipulation with R, and constructing XML scripts for seamless data through POSTMAN, resulting in a centralized research management system with a 50% reduction in a data migration time and enhanced collaboration among researchers.

May 2023 – Jul 2023 · 2 mos

• Conducted an impactful workshop: Led an intensive workshop for 10 high school teachers, equipping them with practical knowledge and skills in machine learning and deep learning models, including neural networks, CNN, and advanced algorithms.
• Supported research work and model implementation: Provided personalized guidance and assistance to teachers throughout their research projects, helping them navigate challenges, clear doubts, and successfully implement machine learning and deep learning models.
• Fostered practical applications: Collaborated with participants to explore real-world applications of machine learning, such as ECG classification using KNN and sleep data analysis using LSTM models. Empowered teachers to apply their newfound knowledge to address relevant problems and expand their understanding of these cutting-edge technologies.

Jan 2023 – May 2023 · 4 mos

• CS 3353 Data structures and algorithms I
• Provided valuable support to undergraduate students by assisting in understanding and applying concepts related to data structures and algorithms.
• Collaborated with faculty members to develop teaching materials, including lecture slides and programming exercises, to enhance the learning experience.
• Fostered an interactive and engaging learning environment through effective communication and tailored assistance.

Aug 2022 – Dec 2022 · 4 mos · Stillwater, Oklahoma, United States

• USDA Project Contributor: Played a key role in a USDA project focused on satellite image classification using deep learning models. Leveraged ETL tools like PySpark, Informatica, and SQL to handle large volumes of image data and ensure seamless integration throughout the process.
• Deep Learning Image Classification: Applied MobileNetV2, a state-of-the-art deep learning model, to accurately classify satellite images based on predefined classes. Collaborated with a multidisciplinary team to optimize the model's performance and contribute to the project's objective of improving agricultural and environmental analysis.
• Data Pipeline Enhancement: Improved the project's data pipeline by implementing efficient data transfer mechanisms and enabling seamless flow from data ingestion to transformation, classification, and storage. Played a vital role in generating valuable insights from satellite image data for informed decision-making.

Dec 2017 – Jan 2022 · 4 yrs 1 mo · Bengaluru, Karnataka, India

• Developed a decentralized blood donation website where users could directly donate blood to hospitals without the need for a third-party intermediary. Utilized Angular 8, React JS, HTML, Bootstrap, and CSS for the user-friendly interface. Implemented Node.js for the scalable backend infrastructure.
• Developed the Internal Price Verification System leveraging Python, Beautiful Soup for robust web scraping, automating the extraction, transformation, and loading (ETL) of external pricing data into Oracle databases for accurate market analysis.
• Implemented ETL jobs on Google Cloud Platform (GCP) and AWS, utilizing their respective cloud services for data pipeline management, ensuring seamless data integration and processing across cloud environments for real-time price verification.
• Involved in design, development and maintenance of applications that utilizes Microservices, J2EE, Spring MVC, Spring Integrations, and Spring Data, Spring Core, Spring Webservices.
• Integrated functionality for hospitals to check the availability of blood donations in real-time on the website. Implemented a feature that allowed hospitals to view the available blood types and quantities based on recent donations. Conducted thorough testing using Postman to ensure seamless API functionalities. Actively participated in code reviews, troubleshooting, and documentation. Collaborated with a team to design the architecture and provided regular project updates to stakeholders.
• Successfully executed a POC that demonstrated the potential of blockchain technology in
• revolutionizing the advertising industry by enabling secure and transparent transactions.
• Authored complex smart contracts in Golang, automating ad transactions, ensuring integrity and
• trust between advertisers and publishers.
• Collaborated with the front-end team to integrate blockchain functionalities into the website,
• ensuring a seamless user experience.