I am a passionate and driven data scientist and AI enthusiast with a strong academic foundation from IIT Madras. With expertise in data engineering, machine learning, and full-stack application development, I thrive on solving complex real-world problems. My professional experience includes optimizing data pipelines, designing scalable MLOps architectures, and developing innovative AI-powered solutions that deliver measurable impact. Beyond technical skills, I enjoy mentoring and collaborating, empowering others to excel in their learning journeys. Always curious and eager to explore, I aim to contribute meaningfully to projects that push the boundaries of technology.
Resume
Proficient in programming languages like Python, SQL, Java, and JavaScript, with expertise in frameworks and tools such as Flask, VueJS, Kubernetes, Apache Airflow, and Docker.
Adept at developing scalable solutions on cloud platforms like Azure and GCP, with hands-on experience in data engineering, MLOps, and application development.
Skilled in leveraging libraries like pandas, scikit-learn, and PyTorch for data analysis and machine learning.
In my professional journey, I have developed a service leveraging GenAI tools and api keys, fine-tuned SLM and output alignment through curated few shot learnings, optimized ETL pipelines, implemented AI-based indexing systems, and designed end-to-end MLOps architectures, significantly improving operational efficiency and forecasting accuracy.
Additionally, my mentoring and teaching roles have honed my leadership and collaborative skills.