At Snowflake, I design and develop AI-integrated applications for enterprise SaaS workflows. I build backend services and connect them with LLM APIs, authentication, subscription controls, and multi-tenant features.
I developed end-to-end document-processing workflows, from secure file ingestion through LLM inference and downstream notifications. Automating document processing and related operations reduced repetitive manual effort by approximately 40%.
I also optimized MongoDB models, indexes, queries, and API access patterns, reducing API response latency by approximately 30%. My work includes REST APIs, asynchronous processing, and cloud-native deployment practices.
At Genpact, I developed Python-based software and machine learning workflows, including data-processing pipelines and computer vision applications. I also contributed to model fine-tuning and experimentation using PyTorch, TensorFlow, and Hugging Face Transformers.
