
I write code
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
real-time-risk-analyzer
November 18, 2025 – December 25, 2025
This project is a production-ready multi-agent AI system that combines elite machine learning performance with explainable AI. By separating concerns into specialized agents, the system achieves modularity, scalability, and real-time fraud detection with human-interpretable explanations.
View ProjectDetecting_Bots_in_Social_Networks_Using_Node_and_Structural_Embeddings
April 15, 2025 – April 15, 2025
Detecting_Bots_in_Social_Networks_Using_Node_and_Structural_Embeddings — GitHub repository
View Projectllm_api_v1
February 25, 2024 – March 7, 2024
This is a example of building a simple LLM API using pre-trained models and Flask API.
View Projectugaf_experiments_data
December 5, 2023 – December 17, 2023
This repo hosts the data used for UGAF experiments
View ProjectCompressedSensingWebApp
June 9, 2018 – June 10, 2018
This is a web application to showcase the the Compressed Sensing technique.
View Projectttcbuddy
June 2, 2018 – June 12, 2018
This is a web app which uses Toronto Transit Commission API to grab travel information about subways and buses and give user a rough idea on how long a trip would take. I know there are apps out there that already do what I want to do, but I am doing this for fun, so yeah :).
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in self-driven learning and exploration of various technical domains, including web development alongside data science. This indicates a proactive and curious mindset. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment. The diversity of projects (web apps, graph analysis, LLMs) suggests adaptability, but also a potential lack of deep specialization in a single area.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but no direct communication or psychometric test results are available.