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AI Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Model-FineTuning
December 27, 2024 – August 29, 2025
This repository provides resources for fine-tuning various types of models using different techniques and frameworks.
View ProjectBert-for-Sentiment-Analysis
August 26, 2023 – January 1, 2025
This project demonstrates twitter sentiment analysis using the BERT model into 3 classes - positive, negative and neutral.
View ProjectFashion-Products-Recommendation-Engine
July 2, 2023 – January 1, 2025
End-to-end content-based fashion product recommendation system.
View ProjectStartUp-Accelerator
July 15, 2022 – January 1, 2025
Integrated and Interactive web portal for Startups - Project Idea selected for Finals of Smart India Hackathon 2022
View ProjectClassicalML_lectures
July 9, 2022 – January 1, 2025
This repo is a set of curated resources covering traditional machine learning algorithms and techniques.
View ProjectSmart-Hire
November 12, 2021 – January 1, 2025
Won 2nd prize in HackUIET hackathon and best project in AI theme
View ProjectStudent-Feedback-Sentiment-Analysis
August 17, 2021 – January 1, 2025
Sentiment analysis system using NLP and machine learning techniques to determine the polarity of the feedback obtained from students in order to improve teaching and learning.
View ProjectDrowsiness-Detection
June 3, 2021 – January 1, 2025
A detection system that recognizes key characteristics of drowsiness and sends an alert when someone is drowsy.
View ProjectImage-Captioning
May 13, 2021 – January 1, 2025
Caption generator for a given Image using Deep Learning
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards AI/ML, which aligns well with an AI Engineer role. The diversity of projects (sentiment analysis, recommendation engines, image captioning, health tools) indicates a broad interest in applying AI to different problems. However, the lack of team projects or professional experience makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on diverse AI-related problems. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like logical reasoning, work attitude, stress handling, or team collaboration.