Tharika Shree R

@tharikashree

Tharika Shree R

@tharikashree

Python

JavaScript

Node.js

Artificial Intelligence

React.js

Bangalore, India

THARIKA SHREE R

B.E. in Computer Science Student

Dayananda Sagar College of Engineering

Category	Skills
Languages	HTML/CSS, JavaScript, TypeScript, SQL, Python, Java, C
Developer Tools	React, Next.js, Node+Express, Git+Github, PostgreSQL, MongoDB
Technologies/Frameworks	Selenium, Beautiful Soup, Docker, Kubernetes, Jenkins, Tailwind, RESTful APIs, Axios, Bootstrap

Technologies: Python, Gemini API, FastAPI, Streamlit, Google Calendar API, LangChain, LangGraph
Developed a conversational AI assistant using LangGraph and FastAPI to schedule events in Google Calendar via service account authorization.
Integrated multi-turn dialog flow using LangGraph to manage dynamic appointment booking tasks with time, duration, and description.
Utilized Google Calendar API for real-time event creation, conflict checking, and timezone-aware scheduling.
https://github.com/tharikashree/Calendar-Bot

Technologies: FastAPI, Next.js, Supabase, Gemini API
Built a medical triage assistant integrating Gemini API for LLM-powered symptom understanding, using multi-label classification to assign clinical tags, risk scores, and recommended actions.
Implemented a multimodal interface with a voice-enabled chatbot and a real-time AI quiz for patient input and triage decisioning.
Used FastAPI for backend APIs, Supabase for data storage, and Next.js to build an interactive web interface.
https://github.com/tharikashree/aventus-snapaid

Technologies: MERN Stack, Docker, Jenkins, Kubernetes, REST API
Developed a scalable full-stack e-commerce web application using MERN Stack (MongoDB, Express.js, React.js, Node.js) with complete user and admin workflows.
Implemented a secure admin panel to manage products, users, orders, and track analytics in real-time.
Containerized the application using Docker, integrated CI/CD pipeline with Jenkins, and deployed to a Kubernetes cluster for high availability and scalability.
*https://github.com/tharikashree/hayroo

Technologies: Python, Selenium, BeautifulSoup, Matplotlib, Pandas
Collected video metadata (title, views, likes, comments, duration, etc.) using web scraping (BeautifulSoup, Selenium).
Conducted Exploratory Data Analysis (EDA) to visualize trends in video engagement and performance.
Created visualizations such as views vs. duration scatter plots and category-based performance analysis using Matplotlib.
*https://github.com/tharikashree/Youtube-Data-Analysis

Mar 2025 - May 2025

Accomplished smooth data integration between frontend and backend, as measured by a 30% faster API response time, by designing RESTful APIs using FastAPI, Flask, and optimizing database queries.
Enabled seamless frontend-backend integration by building and debugging components in Next.js with TypeScript, resulting in fewer production errors.

Oct 2024 - Dec 2024

Delivered a responsive client dashboard UI, as measured by 100% mobile compatibility, by developing reusable components in React and Next.js.
Reduced front-end bugs by 40% through codebase optimization and improved state management using TypeScript and React hooks.

April 2025

Developed an AI-powered Medical Triage Bot to classify patient symptoms and suggest appropriate care levels.

October 2024

Contributed to open-source projects, helping improve several repositories and learn collaborative development.