Abdul Adhil PK

Deep Learning Engineer

Summary

Enthusiastic and skilled in deep learning, computer vision, and machine learning, with hands-on experience in maintaining and improving models, as well as developing web applications.

Experience

Deep Learning Engineer

Aug 2023 – April 2024

iHub data, IIIT Hyderabad

Involved in maintaining, improving, and monitoring deployed object detection models in mobility projects and written basic scripts for monitoring and logging systems to track performance of models.

Student Intern

Oct 2021 – Dec 2021

NikOtto PVT.LTD

Familiarized with LiDAR data pre-processing and clustering methods (K-means, DBSCAN, etc.).

Machine Learning Intern

July 2021 – Sep 2021

HPRCSE, IIITDM Kanchipuram

Involved in developing a machine learning based network system administration tool to automate job assigning in the nodes under the supervision of Prof. Noor Mahammad.

Computer Vision Intern

Oct 2020 – April 2021

Nodal Center For Robotics and AI, GEC Thrissur

Assisted in data collection, annotation, and training detection model for agricultural applications. Worked on vision-based system for tracking of robotic weld seam.

Projects

Forward collision warning system using LiDAR and camera

Conducted extrinsic calibration of LiDAR and camera for accurate sensor fusion. Trained custom object detection model using Indian Driving Dataset (IDD) and implemented a depth calculation feature to estimate the distance to detected objects using LiDAR data.

LiDAR · Camera · Object Detection · Sensor Fusion

Semantic Segmentation - U-Net architecture

Implemented U-Net architecture from scratch for semantic segmentation and trained the model using Indian Driving Dataset (IDD).

U-Net · Semantic Segmentation

Autorickshaw Detection in Indian Road Images

Trained a YOLOv8-based object detection model for autorickshaw detection on Indian roads. Achieved an mAP of 82% on a diverse dataset captured in unstructured driving environments.

YOLOv8 · Object Detection

Oral Cancer Detection (Image Classification)

Trained a classification model for oral cancer detection from images. Pre-processed images, applied augmentations, and implemented various CNN classification algorithms.

Image Classification · CNN

Drowsiness Detection System

Built a Driver Drowsiness Detection System with Haarcascade algorithm for face detection and a CNN classifier for eye-state classification.

Haarcascade · CNN

Spam Classifier Web App

Developed a Flask web app to classify spam messages using deep learning, integrated a MySQL database for prediction logs, and Dockerized the entire project. Preprocessed text data, applied word embedding techniques, and trained a text classification model.

Flask · MySQL · Deep Learning

Captcha Recognition

Developed a deep learning based OCR model for captcha recognition. Trained the model with a Convolutional-RNN model.

OCR · Deep Learning · Convolutional-RNN

Skills

Python, C, Pytorch, Scikit-Learn, OpenCV, MySQL, Flask, Git, Jupyter Notebook, Docker (basic)

Education

Government Engineering College, Thrissur

December 2023

Bachelor of Technology - Production Engineering; CGPA: 7.32/10

Darul Uloom Higher Secondary School, Malappuram

June 2018

Higher Secondary Education - Physics, Chemistry, Maths, Computer Science; Percentage: 90%