About
I am a passionate data scientist and AI enthusiast with a background in computer engineering. I specialize in machine learning, deep learning, and computer vision, leveraging my technical skills to solve complex problems. With a strong foundation in data analysis and programming, I am driven to create impactful solutions through innovation and research.
Experience
Intern at DigmaCo
June 2022–August 2022
Created a component for one of the most successful e-sports website in the country, which allowed the company to utilize the Facebook API to help manage the digital marketing campaign.
Data Science Intern at CRISTAL Laboratory -GRIFT
July 2023 – September 2023
Created and implemented a one page web app that provides disease prediction based on symptoms, using machine learning models that were trained on carefully extracted and processed data, and deployed using Flask
Data Science Intern at Octomiro
Feb 2024 – Oct 2024
As a Computer Vision Intern, I contributed to the development of an automated object-counting application powered by advanced computer vision techniques. My role focused on fine-tuning the Segment Anything Model (SAM) in conjunction with DINOv2 to enhance semantic segmentation and object counting. This involved creating an efficient prompting pipeline for SAM to detect and count objects accurately within complex images, leveraging custom object detection and automated prompts for precise model training.
Key responsibilities included:
- Integrating DINOv2 for robust feature mapping to support SAM in pixel-level semantic classification.
- Developing a custom training pipeline to fine-tune SAM on proprietary datasets in COCO format, featuring multiple objects per image.
- Implementing hierarchical clustering methods to optimize prompt generation, enabling efficient and scalable object counting across varied image sets.
- Utilizing PyTorch for model training, computer vision libraries for image processing, and semantic segmentation techniques to achieve application-specific object detection and counting metrics.
Through this experience, I gained expertise in transfer learning, feature extraction, and prompt optimization in computer vision workflows, delivering a scalable solution tailored to the project's object counting requirements.
Skills
Python
SQL
Machine Learning
Deep Learning(Tensorflow, Keras, Pytorch)
Data Visualisation(PowerBI, Python)
Computer Vision (OpenCV, Open3D, Foundation models, DL)
Cloud(Azure ML)
Strong Communication
Strong analytical skills