Leading technical initiatives for production ML data infrastructure supporting agricultural robotics and autonomous systems.

Technical Leadership - Production ML Data Curation Platform:

• Led end-to-end architecture and implementation of image curation pipeline processing millions of images, integrating online calibration (OCAL), stereo rectification, and distributed inference systems using Databricks and Apache Airflow

• Drove cross-functional collaboration with CVML, Infrastructure, and Safety teams to align inference serving split architecture, resource governance, and complex multi-team technical dependencies

• Achieved 40% cost reduction while increasing throughput by optimizing GPU-to-CPU rectification, implementing dynamic batch sizing, and establishing cost analytics framework

• Established production reliability standards through RCA resolution, robust logging/monitoring infrastructure, and John Deere compliance data governance

Strategic Platform Modernization & Infrastructure Leadership:

• Led strategic platform migration from Kubeflow to Databricks with Airflow orchestration, designing modular architecture and coordinating multi-quarter roadmap

• Architected multi-threaded data ingestion pipeline for HALO camera data and MCAP bag extraction, delivering scalable foundation for autonomy state transition analytics

• Established hybrid cloud infrastructure collaborating with infrastructure team on distributed compute orchestration and cost optimization

• nDrove security initiatives including automated vulnerability scanning, ECR lifecycle management, and IAM policy governance

Technical Mentorship & Team Impact:

• Provided technical guidance to CVML engineers on Databricks ML pipeline, sharing expertise in distributed systems and Spark optimization

• Established code standards and development frameworks adopted across broader BRT organization

• Championed knowledge sharing through technical presentations, design reviews, and cross-team collaboration

Led ML platform engineering and infrastructure initiatives for enterprise talent intelligence platform.

ML Platform Engineering Leadership:

• Led team of 6 engineers managing ML recommendation platform, feature engineering pipelines, candidate ranking systems, and profile deduplication engine

• Architected distributed data ingestion platform with Kafka pub/sub model, Apache Airflow orchestration, and AWS ECS-deployed queue workers

• Drove 5x ElasticSearch performance improvement through optimal sharding strategy and index optimization

• Led SOC2 compliance initiative including documentation, security policy implementation, and KPI management

Infrastructure & Platform Development:

• Built RESTful Python microservices supporting ML recommendation engine for candidate sourcing

• Migrated and optimized Cassandra database data access layers ensuring high availability

• Implemented comprehensive SIEM using Lacework, CloudWatch, AWS Systems Manager, GuardDuty, and Inspector

• Configured service discovery using CloudMap (internal) and Route53 (external)

• Established CI/CD automation with monitoring, disaster recovery, and serverless observability

Backend engineering and ML innovation for multi-cloud optimization platform.

• Architected RESTful Java API data access layer for Multi-Cloud Optimizer supporting Neo4j graph database with Cypher query integration

• Designed multi-threaded data pipeline handling high-volume data from distributed message bus systems

• Developed Kafka event-based listener and filter using JavaCC and lambda expressions

• Proposed and implemented Mosaix Chatbot Agent using NLTK, scikit-learn, and TensorFlow

• Architected semantic search API for DevOps search system leveraging CoreNLP and NLTK

Research in autonomous robotics, human-robot interaction, and machine learning systems.

• Modeled social calculus for autonomous robots using genetic algorithms and game-theoretic optimization

• Implemented NEAT neural network for adaptive robot learning during crowd navigation

• Applied SVMs and Random Forest ensemble learning for human behavior prediction

• Published 35+ peer-reviewed conference papers and 4 journal articles