Amrutha Paalathara

AI Engineer Intern

AI/ML

Python

Professional Profile

I am a dedicated AI Engineer intern with a strong passion for designing and implementing intelligent systems that solve complex problems. My technical journey began with establishing a robust foundation in programming through extensive work with Python and data analysis tools. Over time, I've expanded my expertise to include machine learning frameworks, deep learning architectures.

Driven by a relentless pursuit of innovation in artificial intelligence, I continuously explore cutting-edge technologies and methodologies. My decision to transition into AI engineering, building upon my data science background, demonstrates my commitment to staying at the forefront of technological advancement and my adaptability in this rapidly evolving field.

My engineering approach combines technical expertise with practical problem-solving, enabling me to develop AI solutions that deliver measurable business impact. I specialize in creating end-to-end AI systems, from data preprocessing and model development to deployment and monitoring, ensuring robust and scalable implementations.

View Projects Contact Me

                                
AI Development
Evaluation of voice AI agent systems

                                
Machine Learning
Advanced algorithms & models

Internships

CHRIST Infotech | AI Project Intern

Feb 2025 - June 2025 Lavasa, Pune

Major Outcomes

Created a chatbot using LLaMA 3 models
Used LLaMA 3 models to extract text from documents
Built the front end using React.js

Major Learnings

Learned the basics of LLaMA 3 models and React.js
Worked with different Ollama models and GPT-4.0
Used LLaMA 3 models for both chatbots and text extraction
Gained experience in building a frontend with React.js

Conversive | AI Intern

June 2025 - Present Baner, Pune

Project Focus

Working on voice AI agent project
Creating datasets for testing voice AI agents
Using LLM to generate test cases
Developing evaluation framework to assess agent performance

Key Responsibilities

Designing and implementing test scenarios for voice AI
Leveraging large language models for automated test generation
Creating evaluation metrics to judge agent performance
Analyzing results and providing insights for improvement

Education

Master's Degree

School/College: CHRIST (Deemed to be) University

Year: 2023 - 2025

Course: MSc Data Science

Bachelor's Degree

School/College: Assumption (Autonomous) College, Changanassery

Year: 2020 - 2023

Course: BSc Mathematics

Higher Secondary

School/College: PPMHSS KOTTUKKARA SCHOOL

Year: 2018 - 2020

High School

School/College: PPTMYHSS SCHOOL

Year: 2017 - 2018

Projects

Healthcare Facility in Lavasa

The first project focused on the healthcare facility in Lavasa, a hilly region. We conducted an exploratory data analysis (EDA) and visualization using libraries such as NumPy, Pandas, Seaborn, and Matplotlib. Our findings revealed that the primary cause of poor medical facilities in Lavasa was the lack of medicines.

Lost and Found

Developed a Lost and Found department website for a university. Students could register lost and found items, with details stored on a dashboard accessible to the admin. We used Django for the back-end framework and HTML, CSS, and JavaScript for the front-end.

Data Visualization using Java

Visualized data to interpret how individual incomes contribute to national development. Utilizing Maven, I discovered a direct correlation between the number of employed individuals and economic growth, with an average household income of $80,000 per year.

BuildR Project

Developed a project management web application that allows users to create projects, manage issues, and analyze progress within a workspace. The platform supports role-based access control, priority settings, issue tracking with sub-issues, commenting system, and a visual dashboard.

Skinalyze

TA Hackathon winning project that was a one stop solution for Indian skin. Used deep learning to identify skin undertones to recommend fashion choices and also detect skin diseases with suggested actions. Interfaced with a Django web app.