With a Bachelor’s degree in Computer Science Engineering (AI and ML) from Vignana Bharathi Institute of Technology, I have a solid foundation in advanced machine learning and deep learning technologies, coupled with hands-on experience in both industry and research settings.I began my career journey as an AI intern at AVR Research and Development, where I developed and deployed machine learning and deep learning projects using tools such as Python, Flask, PyTorch, and TensorFlow. During this role, I gained valuable experience in model fine-tuning with YOLO, ResNet, DenseNet, and EfficientNet, significantly enhancing system performance across various applications.In my recent role as an Associate Data Analyst at Tech Mahindra (in collaboration with Cambridge University Press & Assessment), I further honed my skills in data interpretation and analysis to optimise recognition models, applying proprietary tools to fine-tune and improve model accuracy and efficiency.My technical skill set spans programming languages (Python, C, C++, C#, Java, R) and frameworks (TensorFlow, PyTorch, scikit-learn), with extensive experience in frontend and backend integration. Notably, I have built interactive platforms for LLM prompt engineering, leveraging AWS services, Streamlit, and API Gateway, enabling customisable interactions with AI models through dynamic parameter adjustments.I am passionate about AI-driven solutions, constantly advancing my expertise to develop and implement real-time, intelligent systems that address complex challenges. I am actively seeking new opportunities to leverage my knowledge in AI and ML, driving innovation and delivering high-impact projects that push the boundaries of technology.