Developed a ReAct style AI agent using Python that can analyze and modify files in a project folder, enhancing my understanding of file I/O, prompt handling, and automatic code generation in Agentic AI.

Developed a Chrome extension using React, JavaScript, and Material UI to extract and summarize webpage content via Llama 4 model using OpenRouter API. Engineered a secure backend proxy using Flask to protect API keys, leveraging prompt engineering and CORS for safe client-server interaction.

Developed a web application aimed at enabling pet owners to meticulously track their pet's health details, including medication schedules, vaccination records, and vet appointments, ensuring a holistic approach to pet care. Designed a community section for pet owners that can be used to share tips and suggestions for taking care of pets in a better way.

Built a standalone application that lets parents monitor their child’s safety by providing live feed through the laptop’s webcam. The recorded footage is encrypted using a byte array to prevent unauthorized direct access to the video without logging in.

Developed and deployed a static web application that animates the sorting of algorithms in real-time, demonstrating Bubble, Insertion, Selection, Quick, Merge, and Heap sort.

Wrote a Python script that notifies you about the real-time status of COVID-19 in a particular state with a click of a button fetching right from the National Government website.

Achieved certification demonstrating advanced skills in designing, deploying, and managing generative AI solutions on Oracle Cloud Infrastructure. Gained hands-on experience with large language models (LLMs), prompt engineering, model fine-tuning, and API integration for enterprise applications. The certification also emphasized responsible AI practices, data governance, and performance optimization of AI workloads in cloud environments

Completed foundational certification validating knowledge of core AI and machine learning concepts within Oracle Cloud Infrastructure. Developed understanding of OCI’s AI services, including model lifecycle management, data preparation, and deployment workflows. Gained exposure to key areas such as computer vision, natural language processing (NLP), and generative AI use cases, along with best practices for responsible and ethical AI implementation on the cloud

Completed hands-on training in Snowflake’s cloud data platform, covering data warehousing concepts, architecture, and real-time data processing. Gained practical experience with Snowflake features such as virtual warehouses, SnowSQL, data sharing, performance optimization, and role-based access control through interactive labs and real-world scenarios

Completed comprehensive hands-on training covering both the theoretical and practical aspects of machine learning. Gained experience with supervised and unsupervised learning, regression, classification, clustering, and reinforcement learning using Python. Built real-world projects with libraries like scikit-learn, TensorFlow, and caret, focusing on model building, evaluation, and deployment