
Nitin Arora
@nitinarora
I build enterprise multi-agent AI platforms that make network diagnostics faster, safer, and more explainable.
What I'm looking for
At Verizon, I lead the architecture and technical strategy for enterprise AI platforms supporting global network operations. I architected a production multi-agent platform with 6–8 specialized agents and secure MCP-based tool integration for network diagnostics.
I built LookAndTell, a Voice + Vision AI assistant used by 20+ engineers that reduced troubleshooting time by approximately 95%. I also designed AI applications and asynchronous services using Python, FastAPI, Redis, PostgreSQL, LangChain, LangGraph, and MCP.
My work includes two pending U.S. patent applications: PageIndex for explainable neuro-symbolic network diagnostics and AI Firewall for privacy-preserving inference. Earlier, I delivered predictive analytics and automation across Verizon, Citi, AT&T, and network analytics environments, including initiatives contributing approximately $6.5M in operational savings.
Experience
Work history, roles, and key accomplishments
Lead AI architecture and technical strategy for enterprise intelligent automation supporting Verizon's global network operations. Architected production multi-agent AI platform and Voice + Vision AI assistant, reducing troubleshooting time by approximately 95%.
Modernized enterprise SAS analytics by migrating legacy workflows into distributed Spark and PySpark pipelines. Automated financial reporting processes supporting Citi Cards planning, forecasting, and performance analysis.
Senior Data Scientist – Network Analytics
BlueAlly Technology Solutions
Feb 2018 - Dec 2020 (2 years 10 months)
Designed predictive analytics solutions supporting network capacity planning and large-scale traffic engineering. Developed automation platforms collecting telemetry from Cisco and Juniper infrastructure for large-scale operational analysis.
Built machine learning solutions for detecting malicious DNS activity using graph theory and anomaly detection. Developed NLP models for semantic text matching achieving approximately 80% accuracy.
Bootcamp Instructor
The University of Texas at Dallas
Jul 2017 - Aug 2017 (1 month)
Taught programming in R, Python, and SQL to students and recent graduates transitioning into data science careers. Designed the supporting curriculum, balancing theory, hands-on labs, math, and data engineering skills.
Teaching Assistant
The University of Texas at Dallas
Jan 2017 - May 2017 (4 months)
Advised students on database management, Big Data, and data science projects. Trained students in supervised/unsupervised machine learning, SQL, and Big Data tools.
Senior Business Consultant
CoreEL Technologies Pvt. Ltd.
Apr 2012 - Apr 2016 (4 years)
Led business operations and strategic consulting initiatives with full P&L responsibility. Delivered analytics-driven business recommendations supporting multimillion-dollar operational decisions.
Education
Degrees, certifications, and relevant coursework
University of Texas at Dallas
Master of Science, Business Analytics
Grade: 3.89/4.0
Master of Science in Business Analytics with a focus on Data Science, achieving a GPA of 3.89/4.0.
ICFAI Business School
MBA, Marketing and Finance
MBA in Marketing and Finance, awarded a Merit Scholarship.
Galgotias College of Engineering & Technology
Bachelor of Technology, Computer Science and Engineering
Bachelor of Technology in Computer Science and Engineering.
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