Software Engineer in Bengaluru working in the finance team’s credit-risk function, with experience building event-driven architecture for automated underwriting. Experienced in AWS-based data and application pipelines, r…
Software Engineer in Bengaluru working in the finance team’s credit-risk function, with experience building event-driven architecture for automated underwriting. Experienced in AWS-based data and application pipelines, rule engines, state machines, analytics modeling, and full-stack development.
As a part of the Finance Team, I work in the credit-risk function where I built the entire event-driven Architecture of automated underwriting.This involves working heavily with AWS services, building and maintaining a rule engine, a state machine, several statistic models, and user-facing APIs.
– Earned accolades for building a configurable risk-score model that facilitates 50% of our credit decisions for large customers and 100% for smaller customers automatically as of now. I completely automated several functions like Loan Portfolio Tracking through an IRR model, CAM reports generation through pre-filling, and reducing customer data collection all of which reduced the TAT of the loan disbursement pipeline and direct costs associated.
– Was part of Data Engineering Team where I played a key role in the migration of data collection pipeline from ELT to ETLT to reduce costs and pipeline sync time
– Built financial pipelines for several third-party APIs end-to-end from Transaction processing to analytics modelling
– Built a pipeline for the operations team to upload file data to Bigquery using an S3-backed SFTP server(ec2)
– Worked on POC for CDC of backend Mysql database using Dataflow, Debezium, and Kafka
– Tech: Python, Ruby, Rails, Airbyte, Metabase, Step functions, S3, AWS Batch, Apache Beam, Pandas, Serverless,
BigQuery, GCS, Lambda, DynamoDB, Kubernetes
Worked in the finance team’s credit-risk function.
Built the entire event-driven architecture of automated underwriting.
Worked heavily with AWS services.
Built and maintained a rule engine.
Built and maintained a state machine.
Built and maintained several statistic models.
Built and maintained user-facing APIs.
Built a configurable risk-score model that facilitates 50% of credit decisions for large customers and 100% for smaller customers automatically.
Automated Loan Portfolio Tracking through an IRR model.
Automated CAM reports generation through pre-filling.
Reduced customer data collection.
Reduced the TAT of the loan disbursement pipeline and direct costs associated.
Played a key role in the migration of the data collection pipeline from ELT to ETLT to reduce costs and pipeline sync time.
Built financial pipelines for several third-party APIs end-to-end from transaction processing to analytics modelling.
Built a pipeline for the operations team to upload file data to BigQuery using an S3-backed SFTP server (EC2).
Worked on a POC for CDC of backend MySQL database using Dataflow, Debezium, and Kafka.
Developed a QA forum for users on the Cracku and Gmatpoint websites.
Created several dashboards and visualizations for logistics and marketing teams.
Built the entire Store module on the GMATPoint website.
Built a rank predictor and score calculator for the GMAT website based on public and customer data.
Built a score uploader on the website and leaderboard on the backend to facilitate this feature.
Wrote new features.
Built new UIs.
Optimized query performance.
Fixed bugs and failed tasks.
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