This repository documents my Teaching Assistant work with Uplimit from December 2023 to March 2024, supporting technical courses across AI, machine learning, data engineering, Databricks, and site reliability engineering.
The portfolio is intended to show practical technical mentorship: helping learners understand advanced concepts, supporting live sessions, reviewing projects, and communicating through asynchronous student channels.
| Area | Evidence |
|---|---|
| Role | Teaching Assistant for technical online courses |
| Organization | Uplimit |
| Period | December 2023 - March 2024 |
| Focus areas | AI/ML, LLM applications, vector search, Databricks, data engineering, SRE |
| Core responsibilities | Live lecture support, student Q&A, Slack support, project kickoff support, peer review, demo day support |
| Professional signal | Reliable technical support across multiple course cycles and topics |
| Period | Course / Topic | Documented Hours | Main Contributions | Source |
|---|---|---|---|---|
| Dec 5-19, 2023 | Vector Search Applications with LLMs | 8.75 | Live lecture support, project kickoff support, Slack Q&A, peer review, demo day support | Timesheet(5_December-19_December_2023).xlsx |
| Jan 29-Feb 16, 2024 | Data Analysis with Databricks | 4.00 | Student communication and course support | Timesheet(29_January-16_February_2024).xlsx |
| Feb 23, 2024 | Data Engineering with Databricks | 1.00 | Live lecture support for Databricks-focused data engineering session | Timesheet(23_February_2024).xlsx |
| Mar 12-24, 2024 | Introduction to SRE with Google | 2.00 | Student support through Slack and course follow-up | Timesheet(12_March 2024-24_March_2024).xlsx |
Additional invoice summary documentation is available in Ashish_Soni's_Uplimit_Invoice_and_Timesheet.xlsx.
| Skill Area | Examples From TA Work |
|---|---|
| AI and LLM concepts | Supported learners in a Vector Search Applications with LLMs course |
| Data engineering | Assisted with Databricks-focused data analysis and data engineering sessions |
| Technical communication | Answered student questions through live sessions and asynchronous channels |
| Project review | Supported peer review, project milestones, and demo day activities |
| Reliability | Maintained recurring support across multiple courses and time periods |
- Supported live technical lectures and helped students follow complex course material.
- Answered learner questions through Slack and other course communication channels.
- Helped with project kickoff sessions, peer review, and final demo support.
- Assisted students across AI, LLM, Databricks, data engineering, and SRE topics.
- Maintained organized timesheet documentation for each engagement period.
This work demonstrates my ability to explain technical ideas clearly, support learners in applied AI and data courses, and operate reliably in a remote professional environment. It also reflects hands-on familiarity with topics that are directly relevant to data analyst, data engineer, AI engineer, and junior machine learning roles.
ta-work-portfolio/
|-- README.md
|-- LICENSE
|-- logo.png
`-- timesheets/
|-- Ashish_Soni's_Uplimit_Invoice_and_Timesheet.xlsx
|-- Timesheet(5_December-19_December_2023).xlsx
|-- Timesheet(29_January-16_February_2024).xlsx
|-- Timesheet(23_February_2024).xlsx
`-- Timesheet(12_March 2024-24_March_2024).xlsx
This repository serves as supporting documentation for Teaching Assistant work performed for Uplimit courses between December 2023 and March 2024.