AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Researching Deep learning
XAI-BCSE418L-Supplementary-Material
November 21, 2025 – November 21, 2025
Short notes on XAI concepts covered in the course Explainable Artificial Intelligence (BCSE418L)
View ProjectCVSearch
October 8, 2025 – October 27, 2025
Multi-Camera Person Tracking and Querying using CV and VLMs
Emotional-Assistance-Bot
August 15, 2025 – August 17, 2025
Gemma3-1B fine-tuned to provide emotional support for Tamil and English mental- health queries.
View ProjectRoadEval
July 12, 2025 – September 14, 2025
Detecting Frequently travelled but unmapped roads using user trip data and satellite imagery.
View ProjectAI-Data-Quality-Remediation
July 7, 2025 – Present
AI-Data-Quality-Remediation — GitHub repository
View ProjectAutoRecruit
July 3, 2025 – July 3, 2025
A platform to create custom job application forms, analyze candidate responses, and rank applicants based on role fit using LLMs.
View ProjectFile-Forces
April 21, 2025 – July 5, 2025
File Forces - A tool to visualize directory structures as interactive force-directed graphs
View ProjectSpatial_speak
February 14, 2025 – July 1, 2025
LLM powered Q&A system on space agriculture experiments from NASA OSDR
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in AI/ML, particularly LLMs and Computer Vision. This aligns with the technical demands of a Deep Learning Engineer role. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or broader cultural fit. The diversity of projects (Q&A systems, tracking, emotional support bots, data quality) shows a broad interest within AI.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.