Graduate Teaching Assistant - CORE-UA 107: Probability, Statistics and Decision Making

• Sep 2023 - Present

• Hold recitation during the scheduled time and help students understand and practice the material taught during the lecture.• Holding office hours.• Prepare and grade materials such as quizzes and worksheets.• Help proctor and grade midterm and final exams.• Communicate and coordinate with the course instructor.

CSCI-UA.0480-042 Special Topics: Computer Vision

• Sep 2023 - Present

• Prepare and grade homeworks and quizzes.• Communicate and coordinate with the course instructor.

Data Engineer Intern

• Jun 2023 - Aug 2023

• Collaborated with the data science and engineering teams in developing and implementing machine learning models and algorithms. This would include tasks such as feature engineering, model training and evaluation, and model deployment. • Apply computer vision techniques including image preprocessing, object detection, image segmentation, and image classification to extract meaningful information from image and video data. • Assist in the development and fine-tuning of computer vision models using deep learning frameworks. • Evaluate and benchmark different computer vision models, optimizing their performance and addressing challenges during model development. • Integrate computer vision models into existing systems or applications in collaboration with software engineers. • Stay updated with the latest advancements in computer vision and contribute to the research and implementation of state-of-the-art algorithms and techniques. Show less

Graduate Teaching Assistant - CORE-UA 107: Probability, Statistics and Decision Making

• Jan 2023 - May 2023

• Hold recitation during the scheduled time and help students understand and practice the material taught during the lecture. • Holding office hours. • Prepare and grade materials such as quizzes and worksheets. • Help proctor and grade midterm and final exams. • Communicate and coordinate with the course instructor. • Hold recitation during the scheduled time and help students understand and practice the material taught during the lecture. • Holding office hours. • Prepare and grade materials such as quizzes and worksheets. • Help proctor and grade midterm and final exams. • Communicate and coordinate with the course instructor.

Analyst - Machine Learning Engineering

• Sep 2021 - Jul 2022

• Designed and developed application for a large global client which involved computer vision and machine learning.• Was the primary backend developer and guided a team of 3 developers to manage a no-code data science platform for a global client by delegating tasks as needed and providing technical training.

Analyst - Data Science

• Jul 2021 - Aug 2021

• Worked on big data technology(spark, databricks) to improve performance of an internal framework.

Data Analyst

• Feb 2021 - Jul 2021

• Gained experience in python for data analytics, Excel for handling and visualizing data, python packaging and distributing, and docker container deployment.

Summer Intern

• Jun 2019 - Jun 2019

• Acquired deeper understanding on Big data and Hadoop System Administration which introduced me to Big Data and Hadoop, Pseudo Mode, Setting up Cloudera Manager, HDFS Shell commands, Commissioning and Decommissioning, HDFS Quotas, Hadoop Architecture, Kerberos, Knox, MapReduce, Hive, Kafka, Flume. • Acquired deeper understanding on Big data and Hadoop System Administration which introduced me to Big Data and Hadoop, Pseudo Mode, Setting up Cloudera Manager, HDFS Shell commands, Commissioning and Decommissioning, HDFS Quotas, Hadoop Architecture, Kerberos, Knox, MapReduce, Hive, Kafka, Flume.

Academic Intern

• Jun 2019 - Jun 2019

• Gained knowledge and experience in Big Data Analytics using Artificial Neural Networks which included Data Analytics, Exploratory Data Analysis, Descriptive Statistical Measures, Python Data Science Libraries, Regression Analysis, Classification, Clustering, Text Mining, Association, Artificial Neural Networks, Convolution Neural Networks, Recurrent Neural Networks. • Developed Phishing Site Detection application, which also got the best project award at the end of the internship. • Gained knowledge and experience in Big Data Analytics using Artificial Neural Networks which included Data Analytics, Exploratory Data Analysis, Descriptive Statistical Measures, Python Data Science Libraries, Regression Analysis, Classification, Clustering, Text Mining, Association, Artificial Neural Networks, Convolution Neural Networks, Recurrent Neural Networks. • Developed Phishing Site Detection application, which also got the best project award at the end of the internship.

In-plant Training

• Dec 2018 - Dec 2018