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shoppin'
Data Scientist
June 16, 2026 – Present
ipo-scorecard
August 31, 2025 – September 7, 2025
parses SEBI PDFs, runs ratios, and explains valuation and risks.
View Projectresearch-paper-summarizer
March 9, 2025 – October 20, 2025
AI-powered assistant that helps you digest academic papers without much headache
View ProjectResume-Analyzer
June 8, 2024 – September 29, 2024
The Resume Analyzer project is a Python-based application designed to automate the process of parsing resumes, extracting relevant details, and ranking them based on job descriptions. It leverages cutting-edge technologies such as OpenAI's GPT models, LangGraph and Azure's AI Document Intelligence to process and understand resumes efficiently.
View Projectlast-minute.ai
April 12, 2024 – December 18, 2024
AI-powered application allowing users to upload PDFs and YouTube video links and have context-aware interactions. Uses OpenAI to provide smart answers and dynamic follow-up questions. Built with a Python (Flask) backend and a React frontend, using Pinecone for vector storage and LangChain for AI integration.
View ProjectMERN-Stack-Course
June 12, 2023 – August 15, 2023
This repository contains all of the code, assignments and some additional projects as part of Harkirat Singh Mern Stack Bootcamp
View ProjectYOLOv5-Object-Detection
May 31, 2023 – June 4, 2023
This project aims to demonstrate the end-to-end workflow of training and using the YOLOv5 model for object detection tasks.
View ProjectMachine-Learning-Projects
April 22, 2023 – April 22, 2023
This repository contains several machine learning projects implemented using Jupyter Notebooks. Each project is contained in its own folder and comes with a corresponding dataset.
View ProjectHouse-Rent-Prediction
April 15, 2023 – April 19, 2023
This project aims to predict the rent of a house based on various features such as location, furnishing status and square footage. The machine learning model has been trained on a dataset consisting of historical rental prices for houses in various cities. This project includes a Flask web app for easy prediction of house rents.
View ProjectCultural Fit Analysis
The candidate's projects show a strong interest in AI/ML and full-stack development, aligning with innovative and fast-paced environments. However, the experience level is listed as 0, and the current role start date is in the future, which might indicate a lack of professional experience. The projects are diverse but primarily personal, which may require further validation of collaborative work and industry best practices.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying new technologies.