
AI Undergraduate at Amrita Vishwa Vidyapeetham
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Project-SHADOW---Deep-RAG-Thinking-for-Intelligence-Retrieval
April 13, 2025 – April 14, 2025
Project-SHADOW---Deep-RAG-Thinking-for-Intelligence-Retrieval — GitHub repository
View ProjectLLM-Powered-Employee-Insights
February 14, 2025 – February 18, 2025
An AI-driven system that integrates employee details and work performance data from a PostgreSQL database, processes queries via an API, and generates insightful, context-aware summaries using an LLM.
View ProjectImage-to-Speech-GenAI-Tool-Using-LLM-A-Deep-Dive-into-AI-Powered-Storytelling
February 7, 2025 – February 7, 2025
The Image-to-Speech GenAI Tool is an innovative AI application that utilizes transformer-based models from Hugging Face, OpenAI, and LangChain to generate context-aware audio stories from uploaded images.
View Projectkomal-sai-anurag-pasumarthy-wasserstoff-AiInternTask
August 20, 2024 – August 20, 2024
komal-sai-anurag-pasumarthy-wasserstoff-AiInternTask — GitHub repository
View ProjectPDF-Question-Generator
June 18, 2024 – August 3, 2024
In this project we will using LLama3 model from Groq API and by RAG technique a question generator is build and deployed on AWS Lambda Funtion via API Gateway.
View ProjectAgriculture-Q-A-Chatbot-using-AWS-Bedrock
May 28, 2024 – March 5, 2025
This repository is about implementing a Question and Answer Chabot using RAG technique with LLM model from AWS Bedrock and LangChain.
View ProjectDiabetes-Disease-Classification
July 28, 2023 – July 28, 2023
This Project aims to classify the diabetes disease using Artificial Neural Network (ANN) from scratch using only numpy libraries
View ProjectAutomated-Waste-Management-System-using-ROS2
June 25, 2023 – June 28, 2023
(Semester 4) Robotic Operating Systems & Robot Simulation - End Semester Project
View ProjectKernel-Functions-and-its-applications
February 21, 2023 – July 17, 2023
(Semester 3) Mathematics for Intelligence Systems -3 End Semester Project
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest and practical experience in AI/ML, particularly with LLMs and GenAI, which aligns well with a Data Scientist role. The diversity of projects, from deep RAG thinking to waste management systems, indicates a broad curiosity and willingness to explore different applications of AI. However, the projects are predominantly personal and lack explicit team collaboration or industry experience, which might impact cultural fit in a collaborative enterprise environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation.