AI/ML intern with experience in video analytics, facial recognition, computer vision, NLP, and machine learning model development. Has worked on research, prototype model building, data preprocessing, ETL, dashboards, an…
AI/ML intern with experience in video analytics, facial recognition, computer vision, NLP, and machine learning model development. Has worked on research, prototype model building, data preprocessing, ETL, dashboards, and deployment-related tools including Docker, Kubernetes, Flask, Django, AWS, and Streamlit.
<p>Conducting research and development in AI/ML for Video Analytics projects with diverse applications.<br>
Building prototype models capable of multi-face detection and person recognition.<br>
Leveraging state-of-the-art models like FaceNet and YOLO in the computer vision domain.<br>
Making documentation of learnings, use case reviews, findings, and key points for research of built models.</p>
<p>Assisted in developing and implementing a facial recognition model using a CNN pre-trained library for a security application.<br>
Helped fine-tune the model using data augmentation and super-resolution techniques.<br>
Performed image preprocessing to enhance model performance.<br>
Worked with YAML files for video analytics projects.<br>
Performed data extraction and collection using BeautifulSoup library.<br>
Gained exposure to containerization techniques like Docker and Kubernetes to build and manage a machine learning pipeline for deployment.<br>
Used Python frameworks like Flask and Django for web application development.</p>
<p>Developed an end-to-end SMS/email spam classification model using Naive Bayes.<br>
Achieved 97.8pct accuracy and an exceptional precision score.<br>
Applied NLP techniques during data preprocessing to improve performance.<br>
Used MySQL for ETL and PowerBI for making dashboards.<br>
Performed sentiment analysis and review prediction.<br>
Conducted exploratory data analysis to uncover trends, patterns, and insights from large datasets using Python libraries such as pandas, numpy, and seaborn.<br>
Applied several machine learning algorithms to improve model accuracy.</p>
The AI-first Recruitment Operating System that unifies and automates the entire hiring lifecycle for modern enterprises worldwide.
Dr Job FZ LLC. 2026 © All Rights Reserved
