Professional Journey
Building ML systems and data infrastructure across healthcare, automotive, and enterprise environments
Senior Data Engineer / Scientist
Character Biosciences
San Francisco Bay Area
Designed large-scale AI-ready data systems to model disease progression from longitudinal genomic and imaging data, enabling downstream ML and causal analysis.
- -Designed large-scale AI-ready data systems for genomic and imaging data
- -Built systems for noisy, incomplete, and longitudinal biological data where labels are weak, causality is ambiguous, and evaluation is non-trivial
- -Working with geneticists and clinicians to translate GWAS signals into interpretable, model-ready representations
DevOps / MLOps
theSkimm
United States
Led ML infrastructure and deployment, implementing scalable machine learning systems for content generation and predictive analytics.
- -Deployed machine learning models using AWS Sagemaker for content generation and predictive analytics
- -Created microservices architecture using Terraform and ECS for scalable deployments
- -Implemented dynamic CI/CD pipelines using Circle-CI and GitLab, automating deployment and reducing manual interventions
- -Developed and managed ETL pipelines using Apache Spark and AWS Glue for large-scale data processing
DevOps Engineer - ML
Lucid Motors
San Francisco Bay Area
Built ML systems for autonomous driving features, including ADAS and LiDAR sensor optimization.
- -Created ML models for ADAS and LiDAR sensors, optimizing sensor data management for autonomous driving
- -Implemented AR/VR applications using ML techniques for real-time object detection and interaction
- -Built and optimized Linux environments using Puppet, Ansible, and Jenkins
- -Migrated on-premises Linux environments to AWS/RHEL with auto-scaling
DevOps Engineer
Cisco
Sunnyvale, CA
Developed graph-based architectures and automated deployment infrastructure for enterprise applications.
- -Designed and developed graph-based architectures for solving complex reasoning problems in Visual Question Answering (VQA)
- -Automated deployment processes using Python scripts and AWS IoT infrastructure
- -Managed large-scale Mesos clusters for optimized resource sharing
- -Implemented ELK stacks (Elasticsearch, Logstash, Kibana) for centralized logging
Software Developer
Verys
Irvine, CA
Software development and engineering for early-stage startup.
- -Full-stack software development
- -Early-stage startup experience
Software Developer
Latham & Watkins
Greater Los Angeles Area
Software development for one of the world's largest law firms, building enterprise applications and internal tools.
- -Developed enterprise software solutions
- -Built internal tools and applications
Software Developer
Lupin
Gujarat, India
Software development for pharmaceutical company, working on enterprise systems and data management.
- -Developed software solutions for pharmaceutical operations
- -Enterprise systems development
Ph.D., Computer Science (Machine Learning)
University of The Cumberlands
Williamsburg, KY
Thesis: Effectiveness of EfficientNet-B4 and EfficientNet-B7 Deepfake Detection Techniques