As a Machine Learning Engineer, I bring over two and half years of experience building and deploying data-driven solutions that tackle critical business needs. Currently, at Infor, I focus on developing ML solutions for the Governance, Risk, and Compliance (GRC) platform, such as a Role Recommendation Engine and a Classification Model pipeline, which streamline compliance and role assignment processes, reducing manual effort by 30%. At Talenoid, my work centered around Natural Language Processing (NLP) models for HR automation, specifically a tool that reduced candidate shortlisting time by 50% through efficient ATS integration. This tool provided recruiters with quick, data-backed recommendations aligned with job requirements. At SpringML, I delivered impactful solutions for clients like parcel delivery service companies, developing a partial search application and virtual try-on apps that use Google Mediapipe, allowing users to experiment with hair color and clothing styles virtually. Additionally, I developed a fraud detection model for cheques, adding an extra layer of security for financial applications. As a Consultant Data Engineer at SpringML, I created a model leveraging Google Doc AI to extract document features for automated processing, including regex-based date extraction. My technical foundation is built on Python, machine learning, SQL, and exploratory data analysis (EDA), enabling me to create and deploy models optimized for practical applications. I am 3x GCP Certified, a Certified TensorFlow Developer, and proficient in Docker. Passionate about learning, I am exploring emerging fields like Generative AI and eager to apply ML solutions that bridge technical innovation with real-world impact. I look forward to collaborating on cutting-edge AI initiatives that drive measurable improvements and empower organizations with actionable insights. Feel free to reach out "adityav1666@gmail.com" if you have an exciting opportunity or would like to explore potential collaboration areas