PreviousNext

I interned as a Software Engineer for the Helios LLMs and Data Insights Team at the RBC Innovation and Technology, where I worked on full-stack development, data engineering, and DevOps.

I engineered a more efficient log parsing system infrastructure for GitHub Actions CI/CD pipelines using AWS S3, PostgreSQL, Apache Kafka, Apache Spark, and Python. This made data ingestion and log analysis process low latent and scalable, providing valuable data for our deployment process and generating datasets for ML model training infrastructure. I built a full-stack web platform using React alongside a Django back-end. These dashboards included mathematical calculations to offer DevOps DORA and SPACE metric insights boosting enterprise lead time by 32%.

I created and deployed 10+ ETL DAG pipelines for scheduled data tasks, making data collection, storage, and analysis more streamlined by integrating with Elasticsearch through Apache Airflow orchestration. I also led the development of the Helios Assist AI autopilot extension, with fine-tuned Mistral Instruct-7B & GPT-4 LLMs on-prem AWS SageMaker, with RAG architecture, LangChain FastAPI backend and vector database embeddings, providing AI-driven coding assistance to RBC engineers for Helios deployments.

Throughout these projects, I worked collaboratively in an agile development environment, ensuring the timely delivery of high-quality software solutions.