Math and Tech Nerd
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Thapar Institute of Engineering and Technology
React Frontend Engineer
June 13, 2026 – Present
Multi-Agentic-System
November 12, 2025 – Present
A multi-agent system using OpenAI’s Agents SDK, with dedicated HR and IT agents. Supports RAG-based policy queries, leave application workflows, and automated IT ticket creation.
View ProjectXenCRM_Backend
September 9, 2025 – September 17, 2025
AI powered and Scable mini CRM platform
View ProjectXenCRM_Frontend
September 9, 2025 – September 15, 2025
XenCRM_Frontend — GitHub repository
View Projectpromo-recommendation
July 24, 2025 – July 25, 2025
A RESTful microservice for generating promotions based on user details
View Projectsharden
July 13, 2025 – July 20, 2025
A secure fintech data transfer platform that enables encrypted file sharing and API-based data exchange between financial institutions, fintech companies, and third-party vendors.
View ProjectH-otello
June 29, 2025 – July 2, 2025
AI powered WhatsApp-based property management system for homestays and boutique hotels, built using FastAPI, LangChain, and Twilio.
View ProjectTalk-DF
April 27, 2025 – May 19, 2025
A full-stack AI-powered web application that allows users to upload PDF documents and ask questions based on their content using RAG (Retrieval-Augmented Generation) with LangChain and LLM integration.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal development and exploration of various technologies, including AI and full-stack applications. While the target role is 'React Frontend Engineer', many projects lean towards backend (Python, FastAPI) or AI/LLM integration, indicating a broad interest rather than a focused frontend specialization. The single listed experience as 'React Frontend Engineer' is marked as current but with a future start date (2026), which is unusual and requires clarification. This broad interest could be a fit for an innovative culture but might also suggest a lack of deep specialization in React without further evidence.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an interest in diverse technical areas including fintech, AI, and CRM. However, without psychometric test results or interview data, it is not possible to assess soft skills or operational fit.