Passionate and versatile Software Engineer with hands-on experience in AI/ML, object detection, large language models, and speech-to-text technologies. Skilled in Python and open-source frameworks, with a strong track record in building real-world solutions—ranging from finance-specific LLMs and real-time object detection to machine data integration and speech transcription pipelines. Eager to leverage cutting-edge AI methods to solve impactful problems.
Sundaram Technologies
Artem Health Tech
Built an interactive, explainable AI system for automated pneumonia detection in chest X-rays using EfficientNet, PyTorch, and Streamlit, achieving high accuracy and model transparency through GradCAM visualizations.
Designed and deployed an end-to-end AutoML pipeline service using Streamlit and FastAPI for dynamic model training, inference, and benchmarking via web interface.
Implemented a real-time object detection system using MMDetection’s RTMDet-tiny model and OpenCV to process webcam video.
Developed and trained a deep learning model in Python to accurately classify German traffic signs using the GTSRB dataset.
Developed a desktop voice assistant in Python capable of recognizing and executing user voice commands for tasks like setting reminders, playing music, and web searches.
Fine-tuned Flan-T5 on curated financial datasets for enhanced finance-specific Q&A.
ITM SLS Baroda University
GPA: 8.6