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AI Engineer with less than a year in Machine Learning & Deep Learning
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Hello! I have completed my degree in Artificial Intelligence and Data Science from Ramco Institute of Technology. I am passionate about data analytics and machine learning, and I aspire to work in a collaborative environment that fosters continuous learning and professional growth.
Ramco Institute of Technology
BTECH · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Vssc Central School
HSC
June 1, 2020 – May 31, 2021
Vssc Central School
SSLC
June 1, 2018 – May 31, 2019
ISRO Inertial Systems Unit (IISU)
Internship
September 1, 2023 – December 1, 2023
India
ISRO's Structural Engineering Entity (STR), VSSC
Internship
June 1, 2023 – September 1, 2023
India
Dhatchan
Internship
April 15, 2023 – June 1, 2023
India
AI-Driven Support System for Autism Spectrum Disorder (ASD)
January 1, 2025 – June 1, 2026
In this project, I developed an AI-powered assistive system integrating real-time facial and voice emotion recognition, a chatbot, and IoT-based health monitoring to support individuals with Autism Spectrum Disorder. Using deep learning and natural language processing, I built a full-stack web application (React.js + Flask) that provides personalized support and early intervention. The system achieved 92.3% accuracy in face emotion recognition and 89.1% in voice classification.
Object Detection using SSD MobileNet
January 1, 2025 – June 1, 2026
In this project, I developed a custom object detection model using the SSD MobileNet architecture, specifically designed to detect two custom objects in real-time. This was a hands-on project where I worked with deep learning techniques to create an efficient, lightweight model capable of running on mobile or edge devices for real-time inference.
LLM-Powered Research Paper Search & Semantic Recommendation System
January 1, 2025 – June 1, 2026
Developed an AI-powered research paper search system that uses Large Language Models (LLMs) to retrieve, rank, and summarize academic papers based on semantic meaning, not just keyword matching. The system allows users to search research papers using natural language queries and returns highly relevant papers with concise summaries.
LLLM-Based Document & PDF Classification and Intelligent Summarization System
January 1, 2025 – June 1, 2026
Developed an AI-powered document processing system that automatically classifies PDFs and documents into predefined categories and generates concise, human-readable summaries using Large Language Models (LLMs). The system handles unstructured documents such as research papers, resumes, invoices, reports, and articles.
AI-Driven Code Understanding & Assistance System (CodeAI)
January 1, 2025 – June 1, 2026
Built an AI-powered code assistant using large language models (LLMs) and prompt engineering to analyze uploaded source code and generate contextual explanations or code solutions. Integrated OpenRouter LLM APIs with a FastAPI backend to enable low-latency, deterministic AI responses, showcasing applied expertise in LLM integration, prompt design, and AI-driven system development.
Data Analysis of Preload Bolt Joint using AI Tools
January 1, 2025 – June 1, 2026
In this project i have applied machine learning and data analytics to assess stress distribution, predict failures, and optimize aerospace component reliability. Processed experimental & simulation data using Python, NumPy, Pandas, SciPy, TensorFlow/PyTorch and gained exposure to Finite Element Analysis (FEA). Collaborated with aerospace engineers to integrate AI solutions into structural engineering research.
Diabetes Prediction Using Machine Learning
January 1, 2025 – June 1, 2026
I have Developed a predictive model for diabetes diagnosis using a dataset of health-related features. Implemented machine learning techniques to classify individuals based on their likelihood of having diabetes.
Brain Tumor Prediction using Machine Learning
January 1, 2025 – June 1, 2026
In this project, I developed a machine learning model to predict brain tumors from medical imaging data, specifically using MRI scans. The project aimed to classify images into two categories: tumor (benign or malignant) and non-tumor.
User-Interactive E-Commerce Website
January 1, 2025 – June 1, 2026
In this project, I Developed a dynamic e-commerce website with interactive features to enhance user experience and facilitate online transactions.
Supermarket Billing System
January 1, 2025 – June 1, 2026
In this project, I have developed a system that manages billing for a supermarket, including product inventory, pricing, and generating invoices for customers at checkout.
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in diverse AI applications, from healthcare (ASD support) to aerospace (structural analysis) and general utility (LLM-powered systems). This breadth of interest and willingness to tackle varied problems suggests adaptability. The internships at ISRO indicate an ability to work in structured, high-stakes environments. The target role of 'AI Engineer' aligns well with the candidate's project portfolio and stated interests, indicating a good cultural fit for an innovation-driven team.
Soft Skills & Operational Fit
The candidate's profile summary mentions a passion for data analytics and machine learning, and an aspiration to work in a collaborative environment that fosters continuous learning. The project descriptions indicate an ability to work on complex, multi-faceted problems. However, without specific psychometric test results or interview data, it is difficult to fully assess soft skills like logical reasoning, work attitude, stress handling, and team collaboration.