Machine Learning Problem Solver | I Craft Solutions with Data
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Hotelzify
Data Scientist
June 20, 2026 – Present
AIH
May 8, 2025 – Present
AM I HUMAN? is a hilarious and slightly paranoid computer vision project that detects gender, age, and liveness basically idea ripped right out of futuristic scanner in Men in Black
View ProjectQuizzy
February 23, 2025 – Present
Quizzy is an AI interviewer that creates hyper-personalized interview simulation using a RAG-based system for dynamic conversations. It analyzes emotions, perception, posture, and responses, ensuring a natural flow. With job opening scraping and an embedding-based ATS score checker, Quizzy prepares you for the job market. Built with MLOps in Django
View ProjectLook
January 8, 2025 – January 30, 2025
Look is a powerful ML tool that upscale satellite images generated using ESRGAN built with TensorFlow Keras & Fastapi. It ensures high-quality scaling, preserving details and consistency, making images ready for further use or visualization. Ideal for enhancing images while maintaining precision
View ProjectAT_VS
January 8, 2025 – March 29, 2025
Anti-Terrorism Vision System A real-time AI-powered solution for detecting and tracking potential threats using surveillance footage. Built with YOLOv8 to detect lethal weapons, dlib for facial recognition, FastAPI for lightweight and efficient web app for system interaction, and PostgreSQL for secure data storage and Twilio to notify the threat.
View ProjectHappy-Bird
December 28, 2024 – Present
Happy-Bird is a fun twist on the classic Flappy Bird game! Instead of tapping, you control the bird by smiling. Built with cutting-edge ML technologies, Happy-Bird detects your smile in real-time to keep the bird flying
View ProjectANPD
December 22, 2024 – December 23, 2024
ANPD is an automatic number plate detection system using two approaches: one with deep learning, OpenCV, and MongoDB for efficient data storage, and another with OpenCV and EasyOCR for real-time number plate recognition. Both systems capture and process license plate images to extract and display plate numbers seamlessly
View ProjectSentio
December 13, 2024 – January 13, 2025
Sentio is a sentiment & toxicity analysis web app built with LSTM using TensorFlow and Streamlit. It classifies text comments as Positive, Negative, or Neutral and detects Toxic content in the comments, perfect for analyzing reviews, social media posts, or feedback
View ProjectDjango-e_crypt
November 11, 2024 – December 15, 2024
e_crypt is a Django web app that generates secure, random passwords using SHA-256 encryption. Users can customize password length and character types (uppercase, lowercase, numbers, symbols) after logging in or signing up. It uses PostgreSQL for data storage and offers a simple, user-friendly interface for generating strong passwords.
View Projectspotly
November 11, 2024 – November 11, 2024
Spotly is a deepfake detection web app using facial recognition to analyze content, ensuring only facial images are processed. Built with TensorFlow, FastAPI, and Jinja templates, Spotly leverages MesoNet to accurately distinguish real from fake images, providing a quick, user-friendly solution for deepfake detection.
View ProjectC-J
October 17, 2024 – January 2, 2025
Comment & Journal is a powerful machine learning application designed to analyze and cluster YouTube video comments based on sentiment. By leveraging advanced natural language processing (NLP) techniques, this app provides insightful summaries of video content, allowing users to quickly understand the overall sentiment and themes of comments
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for AI/ML through a wide array of personal projects, which aligns well with an innovative and tech-driven culture. The projects showcase a breadth of technical interests and a continuous learning mindset. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration and broader cultural alignment. The focus on personal projects suggests a strong individual contributor, but further assessment is needed for team dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-driven individual with a strong interest in applying ML/AI to solve various problems. The diversity of projects indicates adaptability and a willingness to explore different domains. However, without specific assessment data on communication, logical reasoning, or teamwork, it is difficult to fully assess soft skills and operational fit. The project descriptions are clear and concise, indicating good written communication.