AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Department of Computer Vision - MBZUAI
Backend Engineer
June 19, 2026 – Present
RUFUS
October 25, 2024 – October 26, 2024
An intelligent web data extraction tool designed for seamless integration with Retrieval-Augmented Generation (RAG) pipelines
View ProjectBetterSearch
July 12, 2024 – January 14, 2025
Desktop search tool that brings natural language to traditional file search.
View ProjectUniLCD
July 10, 2024 – September 18, 2024
Unified Local-Cloud Decision-Making with Residual Reinforcement Learning
View ProjectVehicleColorID
August 9, 2020 – August 10, 2020
Performs object segmentation using YOLO with color recognition using color histograms and kNN classifier.
View ProjectCCC
March 2, 2019 – October 14, 2019
Code. Compete. Collaborate. An initiative taken to code and help people code from A-Z aimed majorly at placements, by collaborators from around the globe.
View Projectauv
December 18, 2018 – March 7, 2019
Codebase for the AUV (Autonomous Underwater Vehicle) built by team ATV at IIITDM Kancheepuram
View ProjectArduino_Mega_drone
February 27, 2018 – December 18, 2019
Arduino_Mega_drone — GitHub repository
View ProjectCultural Fit Analysis
The candidate has a diverse set of personal projects, ranging from drones to AI/ML applications and web data extraction. This breadth of interest suggests adaptability and a willingness to explore different technical domains. The 'CCC' project indicates an interest in collaboration and community contribution. However, the lack of professional experience beyond a current role with a future start date makes it difficult to fully assess cultural fit in a team environment.
Soft Skills & Operational Fit
The candidate's project descriptions are concise, but without completed psychometric or English tests, it's difficult to assess communication clarity, work attitude, stress handling, or team collaboration skills. The variety of personal projects suggests initiative and a self-driven learning approach.