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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data_Modelling_Problems
January 3, 2026 – Present
Contains notebooks for data modelling problems for example pairwise preference, ranking, classification, etc
View ProjectGradientDescentVisualization
September 13, 2025 – September 13, 2025
Contains tool to visualize gradient descent
View ProjectLLM-Safety-For-Children-Code
February 16, 2025 – February 16, 2025
Code and Data for paper LLM-Safety-For-Children
View ProjectUncovering_Stereotypes_In_LLM_A_Task_Complexity_Approach
February 1, 2024 – February 1, 2024
Uncovering_Stereotypes_In_LLM_A_Task_Complexity_Approach — GitHub repository
View Projectpython-coding-standards
September 9, 2023 – September 12, 2023
Contains information on how to write modular, clean, standard python code
View ProjectYOLOv1_from_scratch_in_Keras
December 8, 2020 – December 8, 2020
This repo contains a colab notebook that implements Yolo v1 from scratch in Keras
View ProjectDigital-Signal-Processing
January 18, 2020 – April 5, 2020
This repo contains some basic techniques to process and filter digital signals
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards research and development in AI/ML, which aligns with an innovative and learning-oriented culture. The diversity of projects, from LLM safety to signal processing, indicates a broad intellectual curiosity. However, without professional experience or detailed project descriptions, it's difficult to fully assess cultural fit regarding collaboration, initiative, or adaptability in a team setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there is no information on teamwork, problem-solving approaches, or communication style.