Ab

Abdul Adhil PK

Deep Learning Engineer

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.

Skills

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

Work Experience

i

iHub data, IIIT Hyderabad

Deep Learning Engineer
Aug 2023 - April 2024
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.
N

NikOtto PVT.LTD

Student Intern
Oct 2021 - Dec 2021
Familiarized with LiDAR data pre-processing and clustering methods (K-means, DBSCAN, etc.).
H

HPRCSE, IIITDM Kanchipuram

Machine Learning Intern
July 2021 - Sep 2021
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.
N

Nodal Center For Robotics and AI, GEC Thrissur

Computer Vision Intern
Oct 2020 - April 2021
Assisted in data collection, annotation, and training detection model for agricultural applications. Worked on vision-based system for tracking of robotic weld seam.

Education

G

Government Engineering College, Thrissur

- December 2023
D

Darul Uloom Higher Secondary School, Malappuram

- June 2018
My Projects

Check out my latest work

Developed various projects focused on machine learning, object detection, and web applications, showcasing strong programming and analytical skills.

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
Hackathons

I like building things

Participated in multiple hackathons, showcasing skills in programming and problem-solving.

  • .

    .hack() Hackathon 2022

    Kothamangalam

    Title Winner of .hack() Hackathon organized by IEEE MACE.
    Winner
  • V

    VAIGA Agricultural Hackathon 2021

    Finalist at VAIGA Agricultural Hackathon organized by the Kerala Agricultural department.
    Finalist
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