– Built an AI-powered grant writing web application using React, TypeScript, Vite, Firebase Firestore,

and Google Gemini API.

– Built reusable input fields and form sections with validation, word limits, and navigation using React Router.

– Implemented a backend service module to process form inputs, select templates, and call the Gemini API for proposal generation.

– Integrated Firebase Auth for user login and Firestore for storing templates, inputs, and generated outputs.

– Reduced AI latency and cost by using structured templates and adjusting Gemini 3 reasoning levels for draft vs final outputs.

Designed and conducted CCNA lab sessions for students for two consecutive semesters. Topics included in lab sessions: OSI model, subnetting, connectivity troubleshooting, DHCP, HSRP, Spanning tree protocol, Cisco troubleshooting methodologies, Routing fundamentals, VLAN, switch security etc

• Developed a Python framework to extract, process, and transform stock data from multiple sources, with features

engineered and stored in PostgreSQL for optimized retrieval.

• Created and maintained interactive dashboards with Matplotlib, and Plotly to visualize processed trading metrics.

• Built a front-end with HTML, CSS, and JavaScript for filtering, strategy comparison, and saved views.

• Developed a simple Node.js backend with Express to read processed data from CSV files and serve it via REST APIs.

• Developed predictive models(Linear Regression and DT) using scikit-learn to enhance day trading strategies.

• Implemented GitLab CI for automated pytest unit testing, ensuring reliable feature delivery.

• Created Python scripts to collect YouTube video metadata and scrape websites using BeautifulSoup and Selenium.

• Cleaned and filtered datasets, and developed a keyword detection algorithm with NLP libraries NLTK and SpaCy.

• Utilized statistical analysis to evaluate the performance of collected data, helping to inform business decisions based on viewership trends and keyword relevance.