I'm a backend developer with experience in building scalable systems using Java (Spring Boot), Node.js, and Python. At Dassault Systèmes, I’ve worked on dynamic data handling, CSV exports, and smart UI features using PrimeVue. Previously, I integrated WhatsApp chat via Twilio at VisaKwik and built a task management panel. I also developed a MERN-based outlet management app at Catalyst Reachout. I'm passionate about AI and recently built a context-aware QA bot using LangChain, OpenAI, and Pinecone.

Education

KLE Technological University
Dec 2020 – July 2024
Bachelor of Science in Computer Science, CGPA: 8.38/10
Hubli, Karnataka

Experience

Dassault Systemes Global Services
SDE | Jun 2024 – Present

• Created a reusable component in Spring Boot to convert dynamic JSON data into CSV format for easy data export and integration

• Developed functionality to dynamically add and validate column values based on specific conditions, ensuring that invalid inputs are rejected while retaining previous valid values for consistency and data integrity

• Created a mass update feature for dynamic columns using the PrimeVue component

• Implemented daily quantity distribution from weekly data, allowing users to approve and freeze days, generate S-curves, and auto-redistribute remaining quantities for revised scope

VisaKwik
Backend Developer | Jan 2024 – Jun 2024

• Developed and integrated a live chat feature with WhatsApp using Twilio, enabling seamless communication between users and support

• Engineered a smart task management panel, allowing users to organize tasks into customizable buckets with date and time-based filtering for efficient tracking

• Led document verification processes within the CRM, automating status updates based on the successful validation of various documents, ensuring data accuracy

Catalyst Reachout
Backend Developer | Sep 2022 – Feb 2023

• Built an outlet management app “Xrispy”, using MERN stack with dashboards for Vendor, Admin, and Customer

• Enabled secure user authentication and comprehensive shop management features (add, edit, delete, view)

• Utilized Node.js for server-side logic, MongoDB for data storage, and ensured data integrity with secure operations and efficient error handling

Projects

Context-Aware Agentic QA Bot

• Built a context-aware agentic QA bot using LangChain tool-calling agents and OpenAI APIs, capable of answering questions from YouTube videos, PDFs, and real-time queries

• Engineered pipelines to extract, embed, and index video trans and documents, enabling accurate RAG-based application with minimal hallucinations

• Enabled real-time web search and weather forecasting via LangChain tool-calling and external APIs

• Integrated Pinecone vector database to store and retrieve video tran embeddings efficiently

Tools and Technologies

Languages:

• Java, Spring MVC, Spring Boot, Python, JavaScript, C++, C, HTML, CSS, SCSS

Technologies/Frameworks:

• LangChain, OpenAI API, Pinecone, VueJs, Vuetify, React-JavaScript library, Tailwind, NodeJS, Flask, jQuery, SQL

Tools:

• Figma, MongoDB, SQL Workbench, SQLAlchemy, Postman

Academic Achievements

• Secured 4th place among 220+ participants in the APS (Algorithmic Problem Solving) Contest conducted by University

• Attained a ranking of 391 among 3200+ participants in Codechef Starters 84

• Achieved a ranking of 619 among 16000+ participants in Codechef Starters 71

Coding Profile Handles

1. codeforces.com/profile/aayushiiiii09

2. leetcode.com/aayushii09

3. auth.geeksforgeeks.org/user/aayushii

4. codechef.com/users/aayushiii

5. github.com/aayushii9602/

6. medium.com/@aayushiiiii09