Aditya Chaudhry Email & Phone Number

San Francisco Bay Area

• Trained and deployed object detection models for defects in Transmission and Distribution powerlines, reducing data processing cost and time by 50% for customers• Developed a Machine Learning workflow management system with ClearML, automating model training processes and reducing manual effort by 50%, while lowering GCP costs by 25% through the implementation of an autoscaler• Automated model debugging and utilized image embeddings, enhancing active learning efficiency by 40-50%• Curated and optimized datasets for model training, ensuring high-quality data selection to improve model performance and accuracy• Conducted Exploratory Data Analysis (EDA) on data collected from IoT-enabled drone imagery to gain deeper insights into data patterns, which informed feature engineering and improved model development

Champaign, Illinois, United States

• Facilitated the migration of the Hadoop Analytics project (Starling) to AWS, implementing a streamlined transition plan that resulted in a 20% improvement in data processing efficiency. This included re-architecting the data pipeline and optimizing resource allocation to leverage AWS services effectively• Developed and maintained Python scripts for AWS Lambda to automate log parsing tasks, which reduced manual effort by 40%. This involved designing robust, scalable scripts to handle various log formats and integrating them into the existing AWS infrastructure for seamless automation• Devised a trigger mechanism for efficient data transfer to AWS databases, enhancing data flow speed by 10%. This solution involved creating custom triggers and workflows to ensure timely and accurate data synchronization between systems, optimizing data handling processes

Mumbai, Maharashtra, India

• Engineered a comprehensive leave management web application that streamlined the leave approval process, improved workflow continuity, and reduced the time spent on leave-related administrative tasks by 30%• Coordinated cross-team collaboration to manage ETL (Extract, Transform, Load) testing and data integration efforts, which led to a 25% increase in data accuracy. This included facilitating communication between teams, overseeing data validation processes, and implementing robust data transformation rules to ensure consistency and reliability across systems

New Delhi, Delhi, India

• Developed an optimized Image Classification model for Military Aircrafts using Keras, CNNs, and Transfer Learning• Implemented Data Augmentation and Regularization techniques to boost model accuracy from 77% to 91%• Curated and preprocessed a high-quality image classification dataset, improving data consistency and optimizing model training efficiency, leading to enhanced overall model performance• Collaborated with team members at Defence Research and Development Organisation (DRDO) to achieve project milestones

Master Of Science - Ms

Completed my Master’s degree with a specialization in Machine Learning and Big Data, involving hands-on projects that included developing.

Bachelor Of Technology - Btech, Information Technology