Applied AI/ML Engineer, Data scientist | Expertise in Machine Learning, NLP, Computer Vision, Predictive & Advanced analytics
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Head of AI
Data Scientist
June 27, 2026 – Present
Lens_Healthcare_Ingestion_Layer
December 23, 2025 – Present
Lens_Healthcare_Ingestion_Layer — GitHub repository
View ProjectSmart_ATS_Management
June 22, 2025 – June 22, 2025
Smart_ATS_Management — GitHub repository
View ProjectSmart-ATS-Resume-Evaluator
May 28, 2025 – June 22, 2025
Streamlit app that evaluates resume relevance to a job description using Gemini AI
View ProjectChat_with_Multiple_PDFs_Using_Gemini
May 24, 2025 – May 26, 2025
Chat with one or multiple PDF files using Google Gemini (Generative AI). Upload your documents, ask questions, and get intelligent, context-aware responses based on the content inside your files.
View ProjectInvoice-Extractor-using-Gemini-Model
April 9, 2025 – April 9, 2025
A simple web application to extract information from invoice images using Google Gemini model and Streamlit. The application allows users to upload invoice images, process them, and get relevant data from the invoices using advanced AI models.
View ProjectFraud_Detection_Using_DVC_MLOPS
February 20, 2025 – February 20, 2025
Fraud_Detection_Using_DVC_MLOPS — GitHub repository
View ProjectMetro-Interstate-Prediction
December 13, 2024 – March 31, 2025
A complete end-to-end machine learning project to predict hourly traffic volume on a metro interstate. The project covers data ingestion from Cassandra, data preprocessing and transformation, model training and evaluation, a FastAPI backend for predictions, a Streamlit frontend for interactive use, and containerization with Docker.
View ProjectEnd-to-End-Student-Performance-Indicator-on-AWS-Elastic-Beanstalk-and-CodePiplines
July 22, 2024 – July 27, 2024
This project is an end-to-end machine learning application that predicts student performance based on various parameters. The project includes data ingestion, transformation, model training, and prediction components, wrapped in a user-friendly web interface.
View ProjectEnd-to-End-Amazon-Segamaker-with-Bank-Dataset
May 3, 2024 – May 3, 2024
This repository contains code for building, training, and deploying a machine learning model using Amazon SageMaker XGBoost algorithm for a bank application dataset.
View ProjectReal-time-Attendance-Management-System-using-Deep-Learning-Techniques
February 26, 2024 – April 3, 2024
This project is a facial recognition-based attendance management system developed using deep learning models (ResNet and VGG) and Flask for web interface. The system can recognize faces in real-time, log attendance, and generate attendance reports.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in cutting-edge AI/ML technologies and end-to-end system development. The projects are diverse, ranging from real-time systems to generative AI applications, indicating adaptability and a proactive learning attitude. However, all projects are personal, and there is only one listed work experience as 'Head of AI' starting in the future (2026), which makes it difficult to assess collaborative experience or fit within a team-oriented corporate culture. The lack of formal education or certifications in the provided data also limits the assessment of foundational knowledge breadth.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.