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AI | ML | Data Science | Data Engineering Leader
With over 17 years of extensive experience, I am a seasoned AI and Cloud Technology Leader specializing in Generative AI, Advanced Retrieval-Augmented Generation (RAG), multi-agentic systems, knowledge graph (KAG) architectures, and AI observability. Throughout my career, I've consistently driven innovation, delivering impactful enterprise solutions utilizing cutting-edge technologies like LangChain, LangGraph, Graph RAG, and KAG-based contextual reasoning. My expertise includes orchestrating scalable cloud-native deployments, enhancing AI response precision, and significantly improving operational efficiency. At Deere & Company, I spearheaded the design and implementation of a Generative AI-powered multi-agentic system that achieved substantial cost savings and optimized business outcomes. My initiatives in AI observability (Datadog) and evaluation (Galileo) have effectively reduced AI hallucinations and improved system reliability. I integrated knowledge graph-driven retrieval pipelines that empowered deeper contextual understanding and accurate entity resolution. Additionally, I've successfully led numerous cloud migration strategies to AWS and Azure, significantly reducing operational costs and improving deployment resilience. Previously, at Yash Technologies Inc., I streamlined cloud migrations and optimized infrastructure, delivering substantial cost savings and efficiency improvements. My experience spans across leading and mentoring diverse teams, fostering agile practices, and executing innovative strategies. I'm passionate about leveraging Generative AI, multi-agentic systems, and advanced RAG/KAG pipelines to solve complex challenges and deliver exceptional business value.
Wright State University
Master of Science (M.S.), Electrical Engineering
January 1, 2006 – January 1, 2007
Nagpur University
Bachelor's degree, Electronics Engineering
N/A – Present
John Deere
Gen AI Engineering Lead | Technology Leader | Data Analytics | Machine Learning | Data Engineering
February 1, 2022 – Present
John Deere
Senior Software Engineer | Data Engineer | Cloud Practitioner - Data Analytics & Data Engineering
November 1, 2021 – February 1, 2022
John Deere
Cloud Software Engineer
November 1, 2019 – November 1, 2021
Capital One
DB2 Database Specialist | Consultant
July 1, 2011 – January 1, 2012
Greater Richmond Region
YASH Technologies
Software Developer
September 1, 2010 – November 1, 2019
East Moline, IL
Profulgent Inc
Programmer Analyst | DB2 DBA
May 1, 2008 – September 1, 2010
Mooresville, North Carolina
Interpersonal Communication
June 24, 2026 – Present
IBM Certified Database Administrator – DB2 9 DBA for LUW
IBM
June 24, 2026 – Present
IBM Certified Database Administrator – DB2 9.7 DBA for LUW
IBM
June 24, 2026 – Present
EnterpriseDB Certified Postgres 9.0 Associate
EDB
June 24, 2026 – Present
Model Context Protocol: Advanced Topics
Anthropic
June 24, 2026 – Present
IBM Certified Database Associate – DB2 9 Fundamentals
IBM
June 24, 2026 – Present
AWS Certified Solutions Architect - Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Certified SysOps Administrator - Associate Level
Linux Academy
June 24, 2026 – Present
DevOps Tools
Linux Academy
June 24, 2026 – Present
Fundamentals of the Databricks Lakehouse Platform
Databricks
June 24, 2026 – Present
Introduction to Model Context Protocol
Anthropic
June 24, 2026 – Present
IBM Certified Advanced Database Administrator - DB2 9.7 DBA for LUW
IBM
June 24, 2026 – Present
Hadoop Administration
Edureka
June 24, 2026 – Present
AWS Certified SysOps Administrator - Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
Beginner's Guide to Containers and Orchestration
Linux Academy
June 24, 2026 – Present
Introduction to Machine Learning in Production
Coursera
June 24, 2026 – Present
Build AI Agents and Multi-Agent Systems with CrewAI
Educative
June 24, 2026 – Present
AWS Certified Developer - Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
Ansible Quick Start
Linux Academy
June 24, 2026 – Present
Academy Accreditation - Databricks Lakehouse Fundamentals
Databricks
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long tenure at John Deere, suggesting loyalty and ability to grow within an organization. The diverse certifications, including those in AI/ML, indicate a willingness to learn and adapt to new technologies. However, the primary experience is heavily skewed towards database administration and cloud infrastructure, with less direct evidence of hands-on ML model development or deployment in production environments, which might require a cultural shift towards a more experimental and iterative ML engineering mindset.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight automation, problem-solving, and 24/7 production support, indicating a proactive and reliable operational fit. The 'Interpersonal Communication' certification suggests an awareness of communication importance, though direct evidence of soft skills in project descriptions is limited.