About
AI/ML Engineering student with hands-on experience developing machine learning applications, real-time computer vision systems, and Python-based automation tools. Proficient in Python, C++, OpenCV, MediaPipe, TensorFlow, Keras, and scikit-learn, with experience in image processing, feature extraction, model training, and real-time inference.
Experience1
Independent Python & Software Developer
2024 — Presentself
Develop Python-based applications involving machine learning, computer vision, AI integrations, and software automation. Build and integrate machine learning models and Generative AI APIs into application workflows. Work across data processing, feature extraction, model inference, and API integration.
Projects3
Insurance Fraud Detection Using Machine Learning
Developed a machine learning-based insurance fraud detection system combining Random Forest, Neural Network, and Isolation Forest models. Built an interactive Streamlit dashboard for claim prediction, batch analysis, and fraud analytics.
- Python
- scikit-learn
- TensorFlow/Keras
- Pandas
- Streamlit
Real-Time Sign Language Detection
Developed a real-time sign language recognition system using computer vision and machine learning techniques. Used MediaPipe to extract 21 hand landmarks and represent hand gestures as features for classification.
- Python
- OpenCV
- MediaPipe
- scikit-learn
- NumPy
GPT-Integrated Voice Assistant
Developed a Python-based voice assistant integrating speech recognition with GPT APIs. Implemented voice-input processing and AI-generated responses to support natural-language interaction.
- Python
- OpenAI API
- SpeechRecognition
- Automation
Education1
Bachelor of Technology (B.Tech)
2023 — 2027Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV)
Computer Science and Engineering — Artificial Intelligence and Machine Learning
Certifications4
Introduction to Generative AI
2025Google Cloud
Python for Beginners
2024Microsoft Learn
Introduction to AI for Business Users
2024Microsoft Learn
Bring AI to Business Users in Your Organization
2024Microsoft Learn