| Abhilash Pakalapati | Agentic AI Consultant & Senior Data Engineer |
I am an Agentic AI Consultant and Senior Data Engineer based in Herndon, Virginia. I specialize in the intersection of autonomous AI workflows and large-scale data architecture. Currently, I serve as a Senior Consultant at Fannie Mae, where I lead technical initiatives to optimize data pipelines and implement modern AI solutions within enterprise environments.
My work is driven by the goal of making complex AI systems practical and scalable for real-world impact. I am a Fellow of the Soft Computing Research Society (SCRS) and an active contributor to the global technical community.
Technical Authority & Publications
My contributions to the field are documented through high-authority publications and thought leadership:
- Published in CACM: My work has been featured in the Communications of the ACM (CACM), the flagship publication of the world’s largest educational and scientific computing society.
- Technical Author: I am the author of the book “Making Work Easier with Modern AI Tools: A Practical Guide for Small Teams”, which provides a blueprint for teams looking to leverage Agentic AI for workflow automation and productivity.
- Agentic AI Specialist: I focus on designing multi-agent systems and “human-in-the-loop” AI architectures that solve complex business logic across cloud-native ecosystems, including AWS and Snowflake.
Expertise
With over a decade of experience in data management, I provide deep expertise in:
- Agentic Workflows: Orchestrating autonomous agents to handle complex ETL and decision-making tasks.
- Data Engineering: Architecting resilient, high-performance pipelines using PySpark, SQL, and Python.
- Strategic Consulting: Helping organizations transition from traditional data models to AI-driven intelligence hubs.
Professional Affiliations
Beyond my consulting work, I am deeply involved in advancing the field of computer science through my role as a Fellow at the Soft Computing Research Society. I also contribute to technical forums such as HackerNoon and have presented on secure data and AI frameworks at the DAMA San Francisco chapter events.
