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A learner. Interests lie across LLMs, ML & MLOps, and software engineering (specifically scalable implementations for live-data use cases).
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Assessing your cultural and operational fit
Software Engineer
MLops
June 12, 2026 – Present
HealthHelpAI
September 14, 2024 – September 16, 2024
A simple and effective way to keep track of your medications.
View ProjectPaper-Reader-Analyzer
March 2, 2024 – March 11, 2024
A prototype to quickly get research papers on topics of interest and answer related questions about them.
View ProjectVoiceStoryBoard
July 31, 2023 – August 7, 2023
Create voiceovers for children storybooks/play books
View ProjectAir-Traffic-Control-RL
May 5, 2022 – May 14, 2022
An RL project to make a robust Air Traffic Controller agent.
View ProjectReinforcement-Learning-Assignments
February 7, 2022 – May 7, 2022
Assignments of DSE 302. A course on reinforcement learning.
View ProjectEDA-web-app-Streamlit
November 28, 2021 – August 1, 2024
Making a web app (using Streamlit) that makes Exploratory Data Analysis simple
View ProjectSeat-Occupancy-Detection
November 12, 2021 – March 5, 2024
Seat-Occupancy-Detection — GitHub repository
View ProjectColor-Detection
June 7, 2021 – November 12, 2021
Detecting the colors in an image with a mouse click.
View Projectcolour-detection-of-pixels-on-images
May 17, 2021 – June 10, 2021
This is an OpenCV program that exercises the retrieval of RGB values of a pixel and displaying the name and RGB value of that colour on the image.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing on ML/AI concepts. While this shows initiative, the lack of team-based or production-oriented projects makes it difficult to assess cultural fit for a senior MLOps role. The target role is MLOps, and while ML projects are present, there's no explicit MLOps tooling or pipeline experience visible in the project descriptions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.