Educational profile:

M. Tech

University: APJ Abdul Kalam Technological University

College: TKM college of Engineering

Area: Artificial Intelligence

B. Tech

University: APJ Abdul Kalam Technological University

College: VKCET

Branch: Electronics and communication Engineering

Courses Handled:

              Formal languages and automata theory

              Data Analytics

              Labs Handled:

              Data Structures Lab

              Data Analytics Lab

MOOC Courses Attended:

             Introduction to Cloud computing-NPTEL -Oct 2024 (3 months).

             Introduction to Large Language models

             PyTorch Essential Training: Deep Learning

             Career Essentials in Generative AI by Microsoft and Linkedin .

             Career Essentials in GitHub Professional Certificate.

             Docker Foundations Professional certification.

             Ubuntu Linux Professional certification by Canonical.

             SQL for Data Analysis.

Workshops/ Faculty Development Programme(FDP) Attended:

             Three -Day Offline Workshop on Advanced computer vision organized by Department of Computer Science and Engineering,

             TKM college of  Engineering and IIT Madras  on Feb 06 -08, 2025.

Conferences:

            Presented a paper “Deep Learning Transformers for Sentiment Classification: A Performance Evaluation” at the sixth  IEEE International       

            Conference on Control, Communication and Computing held on 2025 organized by College of Engineering Trivandrum.

Internship Experience:

AI Intern– Tata Elxsi, Trivandrum (Apr 2025– July2025)

Contributed to AI-driven enhancements in In-Vehicle Infotainment (IVI) systems.

Integrated computer vision models (e.g., object detection) for driver-assist features.

Optimized ML models for low-latency deployment in vehicle dashboards.

AI Intern– PramAna AyurTech Solutions(Aug 2024– Apr 2025)

Developed an intelligent Ayurvedic chatbot using RAG and knowledge graphs.

Fine-tuned large language models for domain-specific performance.

Built data workflows and conducted segmentation and intent classification.

Data Science Intern– Ospyn Technologies(Jun 2024– Jul 2024)

Trained ML models on large datasets for NLP and classification tasks.

Applied ensemble and optimization techniques to enhance accuracy.

Deployed models via APIs and explored time series forecasting.

Project Intern– Keltron, Trivandrum(Nov 2022– May 2023)

Developed a real-time bus occupancy and alert system using MobileNet SSD.

Integrated computer vision with Raspberry Pi for edge deployment.

Built a dashboard for live data visualization and emergency alerts.