Shivansh Bajaj

About Shivansh Bajaj

I am a passionate and results-driven Machine Learning Engineer with expertise in designing and deploying scalable AI/ML solutions across multiple cloud platforms, including AWS, Azure, and Google Cloud. My core focus lies in leveraging state-of-the-art machine learning and deep learning models to solve complex real-world problems across diverse domains.Key Skills & Areas of Expertise:Cloud AI/ML Engineering: Proficient in building and deploying models using cloud services like AWS SageMaker, Azure Machine Learning, and Google AI Platform.Research & Development: Strong research background, driving innovative solutions in areas such as adversarial robustness, feature extraction, and air quality monitoring.AI for Sustainability: Actively involved in projects aimed at achieving carbon neutrality in the coal sector and measuring water footprints, promoting sustainable practices through AI-driven insights.Reinforcement Learning: Exploring deep reinforcement learning techniques for complex systems, including nuclear reactor regulation.Hackathon Success: Engaged in high-impact hackathons, solving challenging problem statements like electricity demand forecasting and image-based feature extraction.Notable Contributions:Research Papers: Published research on AI applications in sports and a comparative study of machine learning algorithms, highlighting performance insights across various use cases.Inventory Tracking System: Developed a robust inventory tracking system using Azure to streamline logistics and optimize resource management.Sentiment Analysis: Created a sentiment analysis pipeline to extract and analyze customer feedback, driving actionable insights for business decisions.I am passionate about bridging the gap between research and real-world applications, particularly in sustainability, education, and public health. I thrive in dynamic, collaborative environments where innovation and problem-solving are at the forefront.Feel free to connect if you\'re interested in collaborating or discussing cutting-edge AI and machine learning solutions!

Experience

1. Data Science Intern

   Celebal Technologies

   Jun 2025 — Present · Mohali district, IN

   Gained hands-on experience with Python, SQL, and data visualization tools to clean, analyze, and derive insights from structured and unstructured data.Worked on end-to-end data pipelines and contributed to performance evaluation and model tuning using industry-standard practices.Participated in daily stand-ups, knowledge-sharing sessions, and delivered a final capstone project reviewed by senior mentors.

Education

• Blue Bells Model School

  Middle School Diploma, Computer Science

• Blue Bells Model School

  High School Diploma, Computer Science