Hi, I'm Thejas Kiran - Senior Data Scientist at Walmart Global Tech
I am passionate about the intersection of Agentic AI and large-scale infrastructure. I thrive when solving complex problems through MLOps and thrive in data-heavy environments where precision and scale meet.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Delivered robust data analytics solutions during multiple tenures at Walmart Global Tech.
Currently specializes in scaling Agentic AI and MLOps infrastructure using Ray and Google ADK.
Provides deep technical guidance on deploying production-grade data pipelines and automated intelligent agents.
🚀 Career trajectory
Foundation Building
Started in data analysis within the retail sector, developing core proficiency in Python and statistical modeling.
✦ Data Analyst
✦ Foundational Skills
Specialization & Scale
Transitioned into Senior Data Science roles, shifting focus toward large-scale MLOps, Agentic AI, and distributed computing frameworks.
✦ MLOps
✦ AI Agents
✦ Senior Leadership
💪🏻 Superpowers
Scalable AI Architecture
Building robust, production-ready MLOps pipelines.
✦ Architects distributed training environments using Ray and Kubeflow.
✦ Engineers high-throughput data pipelines for enterprise-grade AI models.
✦ Optimizes feature engineering workflows to improve predictive accuracy.
Strategic Data Synthesis
Applying operations research to complex industrial challenges.
✦ Uncovers actionable intelligence through advanced statistical data analysis.
✦ Designs transfer learning strategies to accelerate model deployment.
✦ Transforms raw numerical data into strategic business outcomes.
Agentic AI Innovation
Driving the next wave of autonomous intelligent systems.
✦ Implements Google ADK for advanced agentic workflow automation.
✦ Integrates vector databases to enhance context-aware model responses.
✦ Refines prompt engineering techniques for complex logic execution.
I'm excited about
✦ Exploring the intersection of sports analytics and financial forecasting models.
✦ Collaborating with researchers to push Agentic AI beyond theoretical limits.
✦ Connecting with domain experts to tackle unconventional data-driven problem sets.
I can help with
✦ Providing technical mentorship on implementing Kubeflow and Ray frameworks.
✦ Sharing insights on optimizing AI workflows within large enterprise environments.
✦ Advising on best practices for building scalable production data pipelines.
I would love your help on
✦ Seeking mentors with experience in the financial technology and sports data sectors.
✦ Looking for peer feedback on advanced Agentic AI architectural design patterns.
✦ Interested in learning about innovative startup opportunities in predictive analytics.