MERN Stack | React & Svelte | Python | Java | ML and computer vision Enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
lattice-chat
September 7, 2025 – September 7, 2025
A revolutionary AI chat interface that transforms conversations through visual branching and context-aware interactions.
View Projectonyx-ai-assistant
September 14, 2024 – October 26, 2024
An advanced AI-powered virtual assistant capable of long-term memory and real-time interaction using various tools and technologies. This project provides unique features like GitHub repository management, face recognition, camera-based object detection, screen interaction, and Google Lens-like search.
View Projectml-ops-holiday-package-prediction
September 7, 2024 – September 9, 2024
ml-ops-holiday-package-prediction — GitHub repository
View Projectchat-with-pdf
August 24, 2024 – August 25, 2024
Chat with PDF is an interactive AI chatbot built with Streamlit, designed to allow you to engage with the content of your PDF documents.
View Projectrepo-lens
August 18, 2024 – August 21, 2024
Repo Lens is a powerful tool for seamlessly exploring GitHub repositories. With an integrated AI chatbot that is context-aware and remembers all conversation history, it specializes in answering queries related to the repository's structure, files, and code. This feature makes it easier to understand and navigate codebases.
View Projectgithub-top-repos-scrapper
October 25, 2023 – October 25, 2023
Github featured topics repo data scrapping and trend analysis
View Projectimage-scrapper-python
October 22, 2023 – October 22, 2023
image-scrapper-python — GitHub repository
View Projectfull-stack-data-science-pro-assignments-pwskills
September 28, 2023 – January 29, 2025
Assignments of Full Stack Data Science Pro Course - PW Skills
View Projectreactjs-e-commerce
October 22, 2022 – October 4, 2023
E-commerce app made with react js and redux. Products are fetched using FakeStore API and this project have features like sort listing on the basis of products category, add to cart, increment or decrement the quantity of cart item and remove product from cart. Also added react routers to switch between components.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards Python-based AI/ML and data science, with some front-end development. While this demonstrates a breadth of technical interest, the target role is 'MERN Stack Training'. There is a significant gap in direct MERN stack experience (MongoDB, Express.js, Node.js). This misalignment suggests a lower cultural fit for a dedicated MERN stack training role without prior foundational knowledge in those specific technologies.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work independently on complex technical challenges. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.