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Junior AI/ML Engineer @ Northstar Impact Solution👨💻 | Ex-AI Research Intern @ NorthStar Impact Solution | Ex- AI Developer at Pinkmoon AI
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NorthStar Impact Solution
Data Scientist
June 12, 2026 – Present
Dynamic_JWT_Authentication_for_APIs
June 1, 2025 – June 1, 2025
A lightweight and educational Flask app that demonstrates how to generate and verify JWT tokens at runtime to secure your API endpoints. Includes a demo script, .env support, and clean code for fast prototyping and learning.
View ProjectAI-Recipe-Generator-v3
March 31, 2025 – March 31, 2025
AI-Powered Recipe Generator is a chatbot that creates unique recipes for any food item using Rasa, SpaCy, and Kaggle dataset for training model. It understands user queries, extracts ingredients and dietary preferences, and generates customized recipes based on real datasets. The chatbot can be trained locally and interacts via a terminal or UI. 🚀
View Projectrender-build.sh
August 25, 2024 – October 4, 2024
Helps to install Chrome/ChromeDriver on Reder Native Environment which is a common community issue in Selenium Automation Deployments on Render Platform
View ProjectInvoice-Data-Extraction-Using-Machine-Learning
June 23, 2024 – June 23, 2024
Develop a Python application to extract key information from invoices using machine learning. The project involves training a model, optimizing it for deployment, and running it on a client desktop. The solution should handle various invoice formats in English, Dutch, and French without hardcoded labels.
View ProjectRAG_implemented_pdf_chatbot
June 14, 2024 – June 14, 2024
This is a RAG_enabled chatbot that can answer questions based on a specific pdf knowledge base
View ProjectExploratory_Data_Analysis_on_House_Price_Prediction_Dataset
May 30, 2024 – May 30, 2024
Comprehensive EDA on House Price Dataset. This project includes feature engineering, feature selection, and visualizations to uncover insights and prepare data for advanced regression techniques. Data sourced from Kaggle's House Prices competition.
View ProjectExploratory_Data_Analysis-Logistic_regression
May 28, 2024 – May 30, 2024
In this, i carried out EDA(exploratory data analysis) on adult_data.csv to extract meaningful insights and followed it by applying LogRegression on it.
View ProjectLane_Detection_for_Autonomous_Vehicles
May 27, 2024 – December 25, 2024
This repository contains a lane detection pipeline using OpenCV and a Tkinter-based GUI for video comparison. The tool processes input videos to detect and highlight lane lines, and displays both the original and processed videos side by side. Features include curvature calculation, speed control, and dark mode.A project leveraging futuristic ideas
View ProjectCustom_YOLOV9_Room_cleanliness_Detector
May 21, 2024 – May 26, 2024
This project leverages a custom-trained YOLOv9 model to detect objects related to room cleanliness. Built with Gradio, it provides an interactive web interface where users can upload images and adjust detection parameters. The app returns images with annotated bounding boxes around detected objects, aiding in room organization tasks.
View ProjectVoice-chat-enabled-RAG-chatbot-with-real-time-internet-access
May 19, 2024 – May 24, 2024
An open-source project that uses cutting-edge NLP models and real-time web search to provide dynamic voice query responses. Features include speech-to-text with Nemo, text generation with Mistral-7B, DuckDuckGo search integration, and text-to-speech with edge-tts, all in a user-friendly Gradio interface.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong inclination towards personal projects, demonstrating initiative and a passion for data science. The diversity of projects, from NLP and computer vision to EDA and API authentication, suggests a broad interest in technical challenges. However, the lack of team-based projects or contributions to larger open-source initiatives (beyond personal projects) makes it difficult to fully assess collaboration and cultural alignment in a team setting. The target role is Data Scientist, which aligns well with the candidate's project experience.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on diverse problems and a proactive approach to learning new technologies. The focus on open-source projects and user-friendly interfaces indicates a potential for collaborative work and user-centric development. However, without specific psychometric or English test scores, a detailed assessment of soft skills and operational fit is limited.