Siddharth Singh — Machine Learning Engineer

I am currently pursuing a dual degree in Physics and Electrical & Electronics Engineering at BITS Pilani, Hyderabad, with a strong passion for applying Machine Learning and Deep Learning to solve real-world problems. My expertise spans Python, C++, Java, and advanced ML/DL techniques, with a proven track record of creating AI solutions in fault diagnostics, energy trading, cryptography, and network security. I have contributed to cutting-edge research projects integrating AI for industrial machine diagnostics and predictive maintenance, publishing my work at prestigious IEEE conferences. With hands-on experience in building high-performance models and deploying scalable systems, I enjoy leveraging my skills to develop innovative solutions that drive impactful outcomes. Key Achievements: -->Developed advanced ML/DL systems for fault classification in industrial motors with accuracy benchmarks exceeding 98%. -->Published papers in renowned IEEE conferences, including work on multi-component damage diagnostics and comparative analysis of machine learning models. -->Led ML research for Remaining Useful Life (RUL) estimation, integrating Physics-Informed Neural Networks with state-of-the-art algorithms. Experience Highlights: -->As a Machine Learning Engineer, I have designed and deployed distributed training systems and low-latency applications leveraging OpenAI API, CRNNs, and advanced chatbot features. -->Research roles at industry leaders like DRDO and BOSCH focused on enhancing system reliability and predictive accuracy. I am passionate about building intelligent systems that merge innovation with practicality and am always excited to explore opportunities that push the boundaries of AI-driven solutions.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on AI solutions in industrial applications.

Location: Bengaluru, Karnataka, India

Experience: 0 mo