
Tarun R S
AI & ML Enthusiast
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| Full Stack Developer
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As an aspiring engineer with a strong foundation in cutting-edge technologies, I engage in AI, ML and Full-stack development projects, while exploring Generative AI for impactful solutions.
Education
Uncover my academic strengths
2021-2025
Bachelor of Engineering in Information Science and Engineering
Global Academy of Technology
Current CGPA: 8.8
2024-2025
Minor in Artificial Intelligence
Indian Institute of Technology Ropar(IIT Ropar)
Current CGPA: 9
Experience
Explore my professional milestones

Havric AI
Bangalore, Karnataka, India
Nov 2024 β Feb 2025

AI/ML Intern
Developed a scalable chatbot using ReactJS, Flask, and Docker Compose, streamlining user registration and API key management.
Engineered a conversational AI solution with Razorpay integration and a database for dynamic query responses, enhancing user engagement.
Implemented NLP algorithms to improve the chatbotβs understanding of user emotions, providing personalized responses and reducing response time.
Created a chatbot architecture that efficiently retrieves and delivers data-driven responses from the database, ensuring accurate and relevant user interactions.

CSTech Info solutions Pvt. Ltd.
Bangalore, Karnataka, India
Mar 2024 - Oct 2024

Intern- Flutter Developer
Built Mobile App called Calley using Flutter & Dart both for Android and IOS. Added advance feature like In-App Purchase, Push Notification, Deep Linking.
Wrote Swift code and connected to Flutter using Platform channel,Back ground services.Deployed on both Apple Store and Play Store. Handled deployment rejection on both.
Apple Store : https://apps.apple.com/in/app/ calley/id1222888599
Play Store : https://play.google.com/store/ apps/details?id=com.getcalley.app.calley

AIE Technologies Pvt
Remote
Sep 2023 - Nov 2023

Developer Executive
Built end-to-end application, translating Figma designs into high-fidelity UI/UX experiences, and employed state management .
Proficient in designing, deploying, and managing fault-tolerant, highly available, and scalable AWS solutions.
Developed a streamlined Flask-MongoDB backend, seamlessly integrating with frontend.
Skills & Abilities
Explore the expertise I bring to the table
AI ML
Python
UIPath Studio
Flask
Rasa
Ollama
Llama 3.2
Scikit learn
Full Stack - Web
JavaScript
TypeScript
NodeJS
ExpressJS
ReactJS
Next.js
TailwindCSS
Socket.IO
Flask
Prisma
MySQL
PostgreSQL
MongoDB
Firestore
Docker
Redis
Grafana
Redux
Mobile
Flutter
Dart
Java
Gradle
Projects
Some of my Work

Intelligent Context-Aware Chatbot
Technologies I have used
Python
Flask
ReactJS
Ollama
Llama 3.2
Developed an AI-powered chatbot using Ollama and Llama 3.2, implementing context-aware responses to enhance user engagement and support.
Customized Llama 3.2 models for specific applications, improving the chatbot's ability to understand and respond accurately to user queries.
Implemented Retrieval-Augmented Generation (RAG) techniques locally, enhancing the chatbot's information retrieval capabilities and overall performance.

Escrow System
Technologies I have used
NodeJS
TypeScript
MongoDB
Redis
Grafana
Secure and Scalable Backend Architect: Architected a secure and scalable backend application using Node.js (Typescript), featuring JWT authentication, Redis caching, and MongoDB for efficient data management and enhanced performance.
Robust Wallet and Escrow System: Designed and implemented a comprehensive wallet system with escrow functionality, utilizing BullMQ and Redis for asynchronous task handling to ensure secure and reliable fund transactions (funding, release, refund).
Advanced API Development & Monitoring: Developed RESTful APIs with Zod validation for data integrity and integrated Prometheus metrics via prom-client for comprehensive application monitoring with Grafana, ensuring high reliability and insightful performance tracking.

YouTube Comment analyser
Technologies I have used
Flask
Selenium
ReactJS
NLP
Built a system to accept YouTube links, scrape comments with Selenium, and Segmentation analysis using TextBlob.
Displayed categorized sentiment results on a web interface using Flask and ReactJS.

Shopin App
Technologies I have used
Flutter
Dart
Firestore
Responsive, Scalable with user, Provider, clean architecture,Language localization
Saved user data in Secure Storage. Theme, Favourites, Cart, history, check delivery status.
Can make Group of members and message, add products to group cart, make place order in group with Coupon and Coins.
Tarun's Portfolio
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Quick links
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Education
Experience
Skills
Projects
Contact Info
+91-7676286822
tarun.rs82004@gmail.com
Bengaluru Karnataka India