Hello, I'm
Amruthavarshini Sriram.
I am an enthusiastic and results-driven individual with a passion for leveraging cutting-edge technology such as AI, ML and Cloud to deliver meaningful and scalable solutions that drive business value. With a strong foundation in web development, I am constantly seeking opportunities to grow and apply my skills in real-world scenarios. My curiosity and eagerness to learn have pushed me to dive deep into various technologies, from frontend frameworks to backend architecture, and cloud services. My primary interests include AI (Generative AI), ML and Cloud and I'm looking forward to upskill myself in such technologies. I usually develop a holistic approach to problem-solving—ensuring that I don't just focus on functionality, but also on scalability, performance, and user experience.
Projects I Have Built
Here are some of the projects I've worked on:
SparkleScript AI
An AI-powered content generator that automates blog writing, YouTube scripts, Instagram posts, and more. Next.js and Next.js API routes (Clerk for authentication) for API endpoints handles the front-end and backend with server-side rendering and static site generation. Drizzle ORM is employed to handle database operations. Gemini API 1.5 Flash was integrated to deliver advanced AI capabilities (deployed website and github code below).
QueryBuddy
A RAG (Retrieval-Augmented Generation) bot that answers questions based on your uploaded document in pdf format. Pinecone is used for storing and retrieving embeddings of the PDF chunks based on similarity to the query and Cohere is used for generating natural language answers by combining the retrieved context from Pinecone with the user's query.
EcoCoin - An Incentivized Method to Go Green using Amazon Rekognition (IEEE TENCON 24')
A college student app promoting sustainability using AWS services. The app rewards students for eco-friendly actions with redeemable coins. The app utilizes AWS cloud services for secure facial recognition from the photo they upload in the portal and the video of the sustainable activity they perform to ensure authenticity in rewarding eco-friendly activities (github code below).
Health Monitoring System (IEEE WCONF 24')
Developed an ensemble ML algorithm to monitor vital parameters combining Explainable Boost Classifier, CatBoost and LightGBM, achieving 99.89% accuracy (github code with certificate and research paper can be viewed below).
Airbnb Homepage Replica
A replica of the Airbnb homepage with login and real-time chat functionality. Next.js and Tailwind CSS were used to develop the frontend (github code below).
Technologies I've Explored
Here are some of the key technologies and skills I've worked on:
My Professional Journey
Here's a glimpse into my professional experience:
Publicis Sapient
Associate Software Developer Intern
June 2023 - July 2023
Built and deployed a performance dashboard for Marriott Bonvoy Homes and Villas. Automated URL extraction and reporting using Lighthouse, Puppeteer. Used AWS S3, DynamoDB for storage, React.js for frontend. Automated with Jenkins, deployed via Docker
Innodatatics
Frontend developer Intern
October 2024 - November 2024
Worked on creating a HR portal that recruiters use to map interviewers with candidates based on skillset and time availability
Tangible Trade
React developer
November 2024 - Present
Working on developing various DeFi and Blockchain based applications using React
Milestones and Recognitions
Here are some of my notable achievements:
IEEE WCONF 24' Paper Presentation and Publication
My paper titled: Health Monitoring System based on LightGBM, CatBoost and Explainable Boost Classifier was presented and published at the international IEEE conference, WCONF 24' The published paper can be viewed below.
IEEE TENCON 24' Paper Presentation and Publication
My paper titled: EcoCoin-An incentivised way to go Green using Amazon Rekognition was presented and published at the international IEEE conference, TENCON 24' The published paper can be viewed below.