Evaluating Credit Default Risk - (Thesis)
From 2022 at LJMU, UKCompare the effectiveness of existing credit default prediction models on balanced datasets and determine whether using more computationally expensive deep learning models is effective over supervised learning models.
Masters in Machine Learning and Artificial Intelligence
2020 to 2022 at Liverpool John Moores University, United Kingdom
Computer Science Engineer
2015 to 2019 at Jawaharlal Nehru Technological University, Hyderabad
Member of Technical Staff
From 2022 - Present at Salesforce.com, Hyderabad, IndiaWithin my role, I spearheaded initiatives to elevate Salesforce reporting capabilities, optimizing the inline edit feature and backend performance. By implementing batch processing and parallelization using Java, I significantly improved API response times and database efficiency. This was complemented by leveraging React on the frontend, restructuring the API for seamless integration and efficient handling of report cell modifications. Additionally, I played a pivotal role in integrating Salesforce LLM models, crafting custom formulas for reports, and enhancing user experience by introducing intuitive UI features. Notably, I employed telemetry and Salesforce machine learning pipelines to identify and address anomalies across various system components, resulting in substantial improvements in load times and overall performance.
Associate Member of Technical Staff
From 2021 to 2022 at Salesforce.com, Hyderabad, IndiaImplemented robust ETL pipelines using Jenkins, Airflow, and Python, handling 70 million records daily from Hive, Presto and Kafka. Executed parallel processing and optimising of XML parser to support various data export formats.
Project Mentor
From 2020 to 2022 at Udacity.com, RemoteReview, assess and debug projects submitted by students of Data Structure and Algorithms nano-degree, a 12-week MOOC, and assist them in graduating the course.
Associate System Engineer
From 2019 to 2020 at Salesforce.com, Hyderabad, IndiaCreated Tableau Dashboards on Live System Monitoring and Release Management to provide a complete overview of status, availability, health and deployment. Designed and Implemented the Test Scripts Tracking App to track and manage progress during a release using Django and D3Js.
- Post Graduate Diploma in Machine Learning and Artificial Intelligence, IIIT, Bangalore, 2021
- Completed the Oracle Certification in Java 8 (Oracle Certified Associate), in February 2017
- Scuba Diver License, 2020
- Completed Data Structures and Algorithms Nano-degree with Udacity, in July 2020
- Completed Machine Learning : A Case Study Approach Certification by University of Washington in coursera.org, in July 2018.
- Java
- Python
- Spring Boot
- Tableau
- SQL
- Salesforce - CRMA
- Go
- Django
- Docker
- Kubernetes
- AWS
- System design
- Data Structures
- HLD/LLD
- Postgres
- Java
- Spark
- Airflow
- Linux/bash
