Joe Karuthedath — AI Researcher
At NTT DATA, I help organizations design and deliver enterprise AI, machine learning, and modern data architecture solutions. My work sits at the intersection of ML engineering, AI engineering, MLOps, data engineering, and solution architecture. I enjoy taking ideas from concept to production, building scalable AI/ML systems, architecting robust data platforms, deploying production-grade models, and creating governed, reliable foundations for analytics and enterprise AI. I specialize in Databricks, AWS, and cloud-native ecosystems, with hands-on experience across Databricks Lakehouse, MLflow, Unity Catalog, PySpark, Spark SQL, dbt, CI/CD, infrastructure automation, and model monitoring. Across client engagements, I’ve worked on agentic AI, predictive modeling, simulation, experimentation and hypothesis testing, large-scale data migration, and AI-enabled accelerators. At NTT DATA, I lead the AI/ML focus area within the Databricks CoE and serve as a resident solutions architect, helping define architecture patterns, guide delivery, and accelerate enterprise AI adoption across the organization. I’m a 7x Databricks Certified professional, having completed all seven Databricks certifications, and I’ve also been recognized as a Databricks Champion. I’m especially interested in the intersection of agentic AI, RAG, ML, AIOps, MLOps, big data engineering, generative AI helping enterprises move from experimentation to production with systems that are scalable, secure, and aligned to business value. What matters most to me is delivering real value with data, AI, and ML, not just building technically strong solutions, but creating systems that improve decision-making, scale effectively, and drive meaningful business outcomes. My background includes an MS in Business Analytics from Emory University’s Goizueta Business School, along with an undergraduate degree in Mechanical Engineering. That combination has shaped the way I approach problems with a mix of analytical thinking, engineering discipline, and business context. If you are someone who leverages Data and AI to deliver business value, I would love to connect!
Stackforce AI infers this person is a Data Scientist specializing in AI/ML solutions for enterprise applications.
Location: Atlanta, Georgia, United States
Experience: 5 yrs 2 mos
Skills
- Machine Learning
- Databricks
- Data Engineering
- Mlops
- Data Science
- Data Analysis
Career Highlights
- 7x Databricks Certified professional
- Led enterprise AI adoption at NTT DATA
- Expertise in scalable AI/ML systems design
Work Experience
NTT DATA North America
Data Scientist Senior Consultant (2 yrs 4 mos)
Data Scientist Consultant (8 mos)
CoStar Group
Data Scientist (9 mos)
FedEx
Data Scientist, student consultant (4 mos)
Lanware Solutions
Data Scientist Intern (3 mos)
BYJU'S
Business Development Trainee (2 mos)
ZEEKOI TECHNOLOGIES PRIVATE LIMITED
Data Analyst (1 yr 5 mos)
Education
Master of Science - MS at Emory University - Goizueta Business School
Bachelor of Technology - BTech at Rajagiri School of Engineering & Technology
at Jyothi Nivas Public School - India
