Aayushmaan Sharma

Experienced in developing enterprise AI and data platforms tailored for financial services, emphasizing compliant, LLM-driven solutions within regulated environments. Proficient in creating and maintaining backend services and data pipelines using Python, Databricks, Django, AWS, and PostgreSQL to facilitate scalable data processing and analytics. Expertise in prompt engineering, validation, and governance of LLM outputs ensures high standards of quality, auditability, and regulatory compliance. Committed to delivering exceptional results through rigorous testing, comprehensive documentation, code reviews, and agile methodologies while collaborating effectively with cross-functional teams across Australia and internationally.

Develop, Customize, and Publish in Omniverse With Extensions (NVIDIA)

Gold Medal | Data Analytics - General Championship [Mar '22]

• Predicted future sales of a fan company using time series forecasting
• Performed EDA to look for patterns like seasonality and correlation in the provided data set of 1000+ time series with 40+ data points
• Added relevant features to the dataset using data preprocessing methods like normalization (min-max scaling) and feature engineering
• Explored various ML regressor models like Decision Tree, Gradient Boost, Lasso, Elastic Net and plotted their respective MAPE scores
• Formulated the Neural Ensemble method to find the best possible sales predictions and achieved a median MAPE score of 0.1

⦁ Collaborated in a team of 20 members and secured bronze medal in Choreography Inter Hall General Championship 2021-22

⦁ Organized Blood donation camp within the hall premises, managed volunteers to assist with registration and post-donation care

⦁ Designed a smart street light system using Arduino Uno microcontroller and motion sensors implementing automation features 

⦁ Engaged in the 2021-2022 Inter Hall General Championship, competing in the disciplines of Basketball and Tennis