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.
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.
NikOtto PVT.LTD
Familiarized with LiDAR data pre-processing and clustering methods (K-means, DBSCAN, etc.).
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.
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.
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
Implemented U-Net architecture from scratch for semantic segmentation and trained the model using Indian Driving Dataset (IDD).
U-Net · Semantic Segmentation
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
Trained a classification model for oral cancer detection from images. Pre-processed images, applied augmentations, and implemented various CNN classification algorithms.
Image Classification · CNN
Built a Driver Drowsiness Detection System with Haarcascade algorithm for face detection and a CNN classifier for eye-state classification.
Haarcascade · CNN
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
Developed a deep learning based OCR model for captcha recognition. Trained the model with a Convolutional-RNN model.
OCR · Deep Learning · Convolutional-RNN
Python, C, Pytorch, Scikit-Learn, OpenCV, MySQL, Flask, Git, Jupyter Notebook, Docker (basic)
Bachelor of Technology - Production Engineering; CGPA: 7.32/10
Higher Secondary Education - Physics, Chemistry, Maths, Computer Science; Percentage: 90%