Working on machine learning, MLOps, and software engineering projects, focusing on:

• Building and deploying ML models and systems
• Developing MLOps infrastructure and workflows
• Engineering high-performance software solutions

Key achievements:

• Engineered a high-throughput distributed proxy server handling over 1 million requests/day for various LLM providers
• Built a multimodal document information extraction pipeline processing 100K docs (~3.8 million pages) daily with ~95% precision/recall
• Led development of backend services for a Generative AI platform supporting data validation, fine-tuning jobs, and flexible LLM deployment
• Implemented platform-wide billing and advanced configurations for OpenAI, Anthropic, and Gemini agents

Key achievements:

• Developed a sidecar server for cloud VMs to provide fully managed Generative AI development space
• Created a cloud-agnostic file management system supporting operations across AWS S3, Azure Blob Storage, and Google Cloud Storage
• Built the Infrastructure Creation Engine (ICE) for BYOC functionality, reducing infrastructure costs by up to 80%

Key achievements:

• Implemented MobileNetV1 and ResNet model builders in C++, integrating pre-trained weights
• Contributed to mlpack/mlpack by adding MAPE and Softmin Activation function
• Spearheaded migration of core testing suite from Boost to Catch2

Key achievements:

• Architected ML regression models for cloud workload security scoring
• Engineered feature extraction pipelines processing 200+ cloud workload metrics
• Implemented automated CI/CD pipelines for model deployment