Summary

Electronics and Computer Engineering student specializing in Python, IoT, and Machine Learning. Proven ability to develop innovative solutions in embedded systems, and deep learning driven applications. Passionate about using technology to solve real-world problems, with demonstrated experience in research, publication, and collaborative project development. Eager to take on new challenges to enhance skills and contribute to team success.

Education

B.Tech in Electronics and Computer Engineering

Amrita Vishwa Vidyapeetham
2021 – 2025 | Kollam, Kerala

CGPA: 7.73/10

Secondary and Higher Secondary Education

Amrita Vidyalayam
2021 | Thiruvalla, Kerala

Class 12: 86.6/100

Class 10: 87.6/100

Professional Experience
01/2025 – 02/2025 | Kollam, Kerala
  • •Conducted feasibility analysis on autonomous vehicle deployment in India in collaboration with the SMART Center, University of Tennessee, identifying key infrastructure and communication bottlenecks.
  • •Developed deep learning models for object detection and path planning, achieving 90% pedestrian prediction accuracy on Indian traffic datasets.
  • •Co-authored a research paper presenting a roadmap for intelligent mobility and multi-agent traffic perception.
    • 08/2024 – 02/2025 | Kollam, Kerala
  • •Built a full-stack drone-based health monitoring platform integrating embedded sensors, deep learning, and cloud communication for precision agriculture.
  • •Achieved 95% automation in field data processing through a Firebase-based wireless pipeline connecting edge devices to analytical dashboards.
  • •Implemented geospatial data visualization using Google Maps API for real-time diagnosis and multi-node monitoring.
  • •Programmed ESP32 microcontrollers for real-time environmental data collection using temperature, gas, and ultrasonic sensors.
  • •Deployed wireless data transmission logic in Embedded C for mobile interface, supporting remote monitoring and system reliability testing.
    • Projects

    Hybrid Deep Learning Framework for Pedestrian Intention Prediction

    2025
  • •Developed a deep learning framework combining object detection and pose estimation modules to accurately infer pedestrian crossing intent under real-world traffic conditions.
  • •Achieved 90.7% accuracy on a custom Indian dataset and 90.3% on JAAD, outperforming baselines by up to 34%.

    • Natural Language Processing Chatbot with Text Summarization

    2024
  • •Recognizing the growing demand for automated customer interaction, developed a Python-based NLP chatbot using the NLTK library with a text summarization feature, enabling accurate processing and response to user queries.
  • •Implemented a web app which uses a machine learning model to predict Instagram post impressions using Passive Aggressive Regression, Multilinear Regression, and Random Forest.
  • •Delivered actionable insights that enhanced creators’ content strategies by 20%.

    • Machine Learning Model for Early Diabetes Prediction

    2023
  • •Recognizing the importance of early diabetes detection for preventative measures, implemented a Python-based machine learning model to analyse key health metrics and predict the likelihood of diabetes, providing a valuable tool for early diagnosis and intervention in healthcare settings.
    • Skills
    Programming Languages: Python, Embedded C, SQL, R, MATLAB
    Machine Learning & AI: Data Analysis, Model Deployment, Deep Learning, Computer Vision, Natural Language Processing
    Frameworks & Platforms: TensorFlow, Scikit-learn, OpenCV, Flask, Firebase, Google Cloud Platform, Arduino, ESP32
    Professional Skills: Problem Solving, Critical Thinking, Team Collaboration, Adaptability, Time Management
    Completed Coursework: Data Structures & Algorithms, Problem Solving and Algorithmic Thinking, Computer Programming, Digital Electronics, Machine Learning, Data Science, Deep Learning, Computer Networks, Database Management Systems and VLSI Design.
    Publications

    A Novel Intention Prediction Neural Network for Predicting Pedestrian Crossing Behavior in Indian Roads

    International Journal of Transportation Science and Technology
    10/2025
    Community Outreach

    Recognizing students' limited AI knowledge and ethical awareness, led a team of 7 to conduct an interactive session for 85 high school students, covering ethical on AI tools, ethics, and cybercrime for students, fostering digital awareness and critical thinking among students through engaging presentations and discussions

    Certifications

    Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate

    Oracle
    10/2025 – Present
    Languages
    English
    Malayalam
    Tamil