Embracing the inevitable
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ai-engineering-learning
May 12, 2026 – Present
ai-engineering-learning — GitHub repository
View Projectbanking-app
August 11, 2024 – August 11, 2024
Playing with following stacks: next, react, tailwind, shadcdn, eslint, and so on.
View Projectfastify-typescript-boilerplate
July 25, 2024 – July 31, 2024
fastify-typescript-boilerplate — GitHub repository
View Projectvite-react-tailwind-boilerplate
July 8, 2024 – July 15, 2024
vite-react-tailwind-boilerplate — GitHub repository
View Projectangular-material-v13-boilerplate
January 17, 2023 – January 23, 2023
this repo consist boilerplate for admin panel based angular app
View Projectreact-native-with-aws-amplify
September 17, 2022 – September 17, 2022
react-native-with-aws-amplify — GitHub repository
View Projectleetcode-solution-implemented-in-js
August 5, 2022 – October 3, 2022
This repo is to cover most of the leet-code questions in javascript.
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards self-learning and exploration of various frontend and backend technologies (Python, Fastify, Vue, Angular, React). This indicates a proactive and curious mindset. However, the lack of team projects or detailed descriptions of contributions makes it challenging to assess collaboration or alignment with specific team cultures. The breadth of technologies explored, while showing versatility, might also suggest a lack of deep specialization in one area, which could impact cultural fit if the role requires immediate, deep expertise in a specific stack without much ramp-up.
Soft Skills & Operational Fit
The candidate's project descriptions are brief, making it difficult to assess soft skills like collaboration or problem-solving. The focus on personal boilerplate projects suggests an interest in foundational setup and exploration. Operational fit is hard to determine without more context on work style or team experience.