Course: TELE6530: Connected Devices

1. Conduct regular code reviews to provide written and verbal feedback to students.

2. Grade assignments and projects.

3. Offer one-on-one assistance to 30+ students across 2 locations regarding the coursework

1. Built a full-stack web application using Python and TypeScript for analyzing the conductor sag and temperature relationship from time-series data and plotting it for the user

2. Created internal tools to simplify device health monitoring, inventory, and device installation to manage IoT devices

3. Devised script to flash firmware remotely on sensor devices using bash, paramiko and Python, decreasing touch time by 90%

4. Reduced data access latency by 50% by constructing caching mechanism for frequently used data using AWS S3

5. Optimized existing tools by refining PostgreSQL queries and refactoring DataFrame manipulation to further speed up data access

6. Engineered a trigger-based sensor data processing mechanism by utilizing an AWS SQS queue, cutting artificial latency by 100%

Course: TELE5330: Data Networking

Responsibilities include

1. Conducting labs to provide a hands-on experience for the corresponding material covered in the lectures such as the implementation of various networking protocols, socket programming and building virtualized networks with Cisco Packet Tracer

2. Grade assignments, projects and quizzes.

3. Offer one-on-one assistance to students regarding the coursework

1. Designed a diagnostic system for early detection of clinical depression with an accuracy of 84%

2. Engaged in research on facial landmark localization using OpenFace (HOG descriptors) and implemented it in the diagnostic tool

3. Applied competency in linear algebra to conduct a comparative analysis of eigenfaces and fisherfaces for dimensionality reduction in video frames, improving final results by 10%