Murali Krishna Nandigama, Ph.D.

Senior Technology Architect & AI/ML Specialist

A proven track record of driving technological innovation and delivering substantial business value. With deep expertise in architecture, AI, and cloud technologies, I have consistently translated complex challenges into impactful, quantifiable outcomes.

40%

Cloud Spend Reduction

$18M

Annual Savings Achieved

70%

Tech Debt Toil Reduction

The Architect: Building Future-Ready Systems

My architectural philosophy centers on creating scalable, maintainable, and efficient systems. I specialize in modernizing legacy platforms by breaking down monolithic structures into agile microservices and migrating them to robust cloud environments. This approach not only improves performance but also accelerates development cycles and reduces operational overhead.

Core Architecture Transformation Journey

Monolithic Platform

Legacy System

Microservices Architecture

Java, Spring Boot & AWS

The Innovator: Harnessing AI & Machine Learning

I leverage AI and Machine Learning not just as tools, but as transformative capabilities. By integrating GenAI into development pipelines and building predictive AIOps platforms, I have automated complex processes, extracted actionable insights from data, and significantly boosted engineering productivity across global teams.

GenAI Impact on Developer Productivity

Integrating GenAI toolchains directly into the SDLC automated repetitive work, leading to a 40% reduction in manual tasks for over 25,000 engineers.

Key End-to-End ML Initiatives Delivered

Designed and deployed multiple high-impact ML solutions, from real-time failure analysis to automated investment research summarization using NLP.

Real-Time Failure Analysis

Predictive models for production root cause analysis.

Trade Reconciliation Prediction

Probability models to predict post-trade failures.

NLP-Powered Summarizers

Mechanized investment research summary generators.

The Integrator: Leading Complex, High-Stakes Projects

Technical expertise is most valuable when it successfully drives major business initiatives. I played a key technical role in the migration of the $3.9B GAP credit card portfolio, a project that required deep collaboration with external partners, meticulous API architecture, and complex technical negotiation to ensure a seamless transition for 11 million customers.

11M

Accounts Migrated

$3.9B

Portfolio Value

API Integration & Partnership

Legacy Bank
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Barclays
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MasterCard

Architected and validated multiple APIs to ensure seamless data exchange, real-time transaction processing, and account servicing between platforms.

The Optimizer: Mastering Cloud & Cost Efficiency

As a multi-certified AWS expert, I focus on maximizing the value of cloud infrastructure. By implementing rigorous FinOps practices and engineering efficient cloud-native solutions, I have drastically reduced cloud expenditures while simultaneously improving resource utilization and performance.

Cloud Utilization & Cost Savings

Architectural interventions and FinOps practices improved utilization by 65% and cut spend by 40%.

Expert-Level AWS Certifications

A commitment to deep technical knowledge, validated by multiple expert-level certifications across key AWS domains.

☁️ 2x ML Specialty

🏗️ 2x Solutions Architect

💻 2x Developer Associate

💰 FinOps Practitioner

Comprehensive Technical Skillset

My expertise spans from core programming languages and architectural patterns to the latest in cloud and AI technologies, providing a holistic foundation for tackling any technical challenge.

Languages & Frameworks

Architecture & Cloud

AI/ML & Data

Portfolio of Innovation:Patents

A history of recognized innovation, underscoring a commitment to developing novel solutions and advancing technology.

  • Software development test case maintenance
  • Software application test coverage analyzer
  • Software development test case analyzer & optimizer
  • Personal resource management tool
  • Interface for distributed processing framework
  • Metrics analyzer tool and method

Academics & Research

Doctorate in Computational Physics from University of Hyderabad and a Graduate Non-Degree in AI/ML from Columbia University School of Engineering., NY

  • Columbia University : Graduate Non-Degree in AI/ML from Columbia University School of Engineering, NY, USA
  • University of Hyderabad : Doctorate in Computational Physics from University of Hyderabad, India
  • University of Hyderabad : Master's in Solid State Physics from University of Hyderabad, India
  • Andhra University : Master' s in Physics from Andhra University, India
  • Research Publications in Academic Journals and Conference Proceedings
  • Books Co-Authored: Chapter 11: Change Centric Testing