Summary

Electronics and Computer Engineering graduate with practical experience in Python, Machine Learning, Deep Learning, Embedded Systems, and IoT. Skilled in building full-stack AI applications and real-time, data-driven systems that bridge hardware and software. Passionate about using technology to solve real-world problems through innovative and scalable solutions. Known for adaptability, critical thinking, and a strong collaborative mindset.

Education
2021 – 2025Kollam, Kerala

B.Tech in Electronics and Computer Engineering

Amrita Vishwa Vidyapeetham

CGPA: 7.73/10

2021Thiruvalla, Kerala

Secondary and Higher Secondary Education

Amrita Vidyalayam

Class 12: 86.6/100

Class 10: 87.6/100

Professional Experience
01/2025 – 02/2025Kollam, Kerala

Research Intern

Humanitarian Technology Labs
  • •Conducted a strategic feasibility analysis on Autonomous Vehicle (AV) deployment in India, identifying key technological challenges in collaboration with the SMART Center and University of Tennessee.
  • •Evaluated object detection and path planning models using benchmark traffic datasets, leading to performance insights for AV systems in Indian road conditions.
  • •Co-authored a research paper presenting a practical roadmap for AV adoption, contributing to ongoing research in intelligent transport systems.
    • 08/2024 – 02/2025Kollam, Kerala

    Project Intern

    AMMACHI Labs
  • •Developed a full-stack coconut health monitoring platform utilizing Deep Learning algorithms for automated disease detection, training the model on image datasets to identify plant health issues.
  • •Automated geospatial data extraction from drone imagery with a 100% hands-free data pipeline using Firebase, reducing manual work by over 95%.
  • •Integrated Google Maps API into a Flask dashboard to provide real-time location-based visualizations, enabling faster field diagnosis and action.
    • 09/2023Thiruvananthapuram, Kerala

    Intern

    Kerala State Electronics Development Corporation Ltd
  • •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
    2025

    Hybrid Deep Learning Framework for Pedestrian Intention Prediction

  • •Designed a hybrid neural network combining object detection, pose estimation, and intention modeling to forecast pedestrian crossings.
  • •Delivered 90.7% accuracy on a custom Indian dataset and 90.3% on the JAAD dataset, exceeding baseline models by up to 34%.
  • •Built and annotated a custom dataset of 240 traffic clips to train the model, addressing data scarcity for Indian traffic environments.
    • 2024

    Movie Recommendation Engine

  • •Developed a movie recommendation system using Item-Based Collaborative Filtering (IBCF) on a dataset of 100,000+ movie ratings (MovieLens dataset).
  • •Achieved an accuracy of 82% in predicting user preferences. Implemented data pre-processing, similarity matrices, and optimized recommendations.
    • 2023

    Instagram Prediction Web App

  • •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%.
    • Publications
    07/2024

    Assessing The Impact of Pesticide Use on India’s Agriculture and Environment

    Journal of Environmental Nanotechnology
  • •Authored a comprehensive study on pesticide usage in Indian agriculture. Conducted mixed-method research to assess impacts on productivity and the environment, providing evidence-based recommendations for sustainable pest management strategies that influenced policy discussions.
    • 02/2024

    Cost-Effective Solutions for Underwater Ultrasonic Flow Rate Sensors in Renewable Energy Applications - An Appraisal

    IEEE
  • •Authored a comprehensive paper evaluating innovative approaches to reduce implementation costs of underwater ultrasonic flow rate sensors for sustainable energy applications through optimized designs, materials, and signal processing techniques
    • Skills
    Programming Languages: Python, SQL, MATLAB, R, Assembly, Embedded C
    Machine Learning & AI: Deep Learning, Computer Vision, NLP, Data Analysis, Model Deployment
    Frameworks & Platforms: TensorFlow, Scikit-learn, OpenCV, Flask, Firebase, Google Cloud Platform, Arduino, ESP32
    Professional Skills: Problem Solving, Critical Thinking, Team Collaboration, Adaptability, Time Management
    Certifications
    03/2024

    Next Generation Cloud Infrastructure

    Humanitarian Technology Labs
    08/2023

    Cloud Computing and Amazon Web Services (AWS) Fundamentals

    Udemy
    04/2023

    Data Science and Machine Learning

    Udemy
    Languages
    English
    Malayalam
    Tamil