
QE enthusiast focused on solving QA problems within software teams by following a holistic and collaborative approach.
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Assessing your cultural and operational fit
llm-fine-tuning-project
May 25, 2026 – Present
Step by step interactive guide to setup-->Fine tune-->Compare-->Hugging Face Upload
View ProjectWhisper-ASR-Playground
May 10, 2026 – Present
Working with OpenAI Whisper-Tiny and running sample audio & datasets for transcription and evaluation
View ProjectRAG-evaluation-RAGAS-HF
May 1, 2026 – Present
Evaluating a RAG app with RAGAS framework and HF Inference Providers
View Projectred-hat-openshift-app-test-suite
April 30, 2026 – Present
CI first test framework for testing app deployed on Red Hat's K8S platform OpenShift
View ProjectCypress-Accessibility-Testing
January 5, 2025 – January 5, 2025
Project to act as a base for setting up and working with accessibility testing using Axe core library with Cypress
View ProjectAppium_wdio
February 28, 2024 – February 28, 2024
sample project for appium and webdriverio tests on android using javascript
View ProjectOOPs-Demo
April 11, 2022 – April 11, 2022
Implement program using object oriented programming
View Projecttestapp
April 4, 2022 – April 6, 2022
Selenium Nunit Net6 console project to test weather app
View ProjectCultural Fit Analysis
The candidate's personal projects show a diverse interest in various technical areas, including CI/CD, testing frameworks, and AI/ML. This breadth suggests adaptability and a proactive learning attitude. The focus on AI/ML projects indicates a strong alignment with the target role of Data Scientist, demonstrating initiative in exploring relevant technologies.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approaches, or communication style.