MAHESH VARAVOORU
137 Woodman Lane • Basking Ridge, NJ 07920
732.306.5794 (C) • 201.676.4684 (H) • varavooru@gmail.com
AI and Cloud Architect and Lead
I am a hands on AI & ML and cloud architect and lead, working with AWS and Azure
cloud with experience in delivering large scale applications, AI, cloud and digital trans-
formation projects. Over 22 years of experience working or consulting for Fortune 500
in Python, Java and application development.
Specialties: Python, ML, Deep Learning, Tensor Flow, Scikit-learn, LLM, GPT, BERT,
Azure Open AI, Generative AI, AWS Certified Solutions Architect (associate), Software
Development, Cloud, Big data, AI, ML, Java, Python, Financial Services, Retail,
Healthcare, Compliance, Info security, Program Management, Solution Design and Ar-
chitecture, and Deploying Large Scale Cloud Solutions in Production.
Proven areas of expertise include:
• Financial services • Microservices, • Large Scale cloud
• AWS cloud native Docker and Kuber- solutions
services netes • System Architec-
• AWS certified solu- • Terraform tures
tions architect (asso- • AI & ML • Hybrid and Multi
ciate) • Traditional ML, Deep Cloud
• Java, Python learning, Tensor • AWS Sagemaker
• Strategic Planning Flow, Scikit-learn, • Application moderni-
NLP, spaCy, GPT zation
• Building and manag- and BERT, Azure
ing large teams OpenAI • Change Manage-
• Customer Centric and ment
• Langchain, Hugging-
Customer Obsessed
Face, Text genera- • Architecture and
• Compliance tion Project Management
• Security & identity • Azure AD and oauth • SQL, SSIS, SSRS,
management Oracle, MySQL
• AI Risk and Govern-
• PCI ance
• DevOps and • Hadoop, Spark, Hive,
DevSecOps Kafka, Streaming and
Web services
• IaaS, PaaS, SaaS
and Serverless
• No SQL DB
PROFESSIONAL EXPERIENCE
VP, Data Scientist and AI lead - Jan 2022 – Present at Chubb, Whitehouse Station,
NJ
Working as VP, ML and cloud architect leader, helping build NLP and Deep learning
models, cloud native development using Kubernetes, big data, Databricks, Kafka, and
Python helping with cloud strategy and migration of many applications into Azure. I have
been involved in using Azure OpenAI (LLM, davinci, ada & GPT 4), GPT and BERT
based models for text summarization, fine tuning and creating custom models, and de-
veloping fraud detection models based on random forest, linear regression and other
traditional ML models in Python.
Hands on lead, leading a team of 10 data engineers, data scientists and programmers
with ML models development, Azure cloud architecture, and cloud migration of legacy
apps to the cloud.
Sr. ML and Cloud architect Aug’ 2020 – Jan’ 2022 at HCL, Bedminister, NJ
Worked as an architect with a large team of cloud assessment and migration for large
fortune 500 companies in Retail, Automotive and Finance using AWS and GCP. My role
has been to work as cloud architect with cloud assessment and migration team in as-
sessing and strategizing large scale cloud migrations. As an architect, I helped in de-
signing and architecting the legacy systems using Kafka, microservices, containeriza-
tion, Kubernetes, S3, EKS and EMR. Also led an effort with a team of 8 data engineers
and data scientists to develop regression and fraud detection ML models which was de-
ployed on AWS in EKS and AWS Sagemaker.
Sr. ML and Cloud architect May’ 2012 – Aug’ 2020 at WildFire (Mutual Force) pro-
fessional consulting, Basking Ridge, NJ
Implemented over 25 use cases in ML, application software development (Java and Py-
thon), big data, cloud, compliance, PCI in multiple verticals for fortune 500 companies in
Banking, Finance, Retail, Insurance and other industries using AWS and Azure. My role
was to work with our clients in a ML lead architect capacity to help them pick the right
ML, big data and cloud infrastructure, and AI platform, help with data strategy, compli-
ance, information security, and implement multiple use cases working with a talented
team of over 55 software engineers, data scientists, cloud and data engineers.
Notable Use Cases and Accomplishments:
• Implemented over 25 cloud, big data, AI and ML use cases in multiple verticals
including Banking and Finance.
• Migrated large web application workloads into AWS.
• Fraudulent claims detection in Insurance.
• AML and churn prevention use cases for Banking.
• PCI and info security use cases using AI and ML.
• Customer segmentation for Travel Industry.
• Expert in selecting right use cases for cloud, AI and ML.
• Clients included Citi, Publix, Deloitte and other large firms.
Morgan Stanley, New York, NY, Oct 2010 – May 2012
VP of Application Development
Lead a team accountable for the ongoing maintenance, development and implementa-
tion of projects for Credit Risk and Analytics group supporting $500 million in revenues.
Developed and managed $2M budget. Lead architecture direction strategies and pro-
moted Java development in a Unix/ Oracle DBMS environment.
Bank of America, Feb’ 2010 – Oct’ 2010
VP of Application Development
Lead a team responsible for equity front office technology. Worked with front office busi-
ness and technology to ensure that internal IT capabilities were communicated effec-
tively and implemented according to company standards. Evaluated profitability and via-
bility of new business opportunities presented by independent business units.
• Managed implementation of high volume exchange connectivity. System was
based in Java, SoA and Sybase.
• Implemented next generation order management systems using a global team of
2 managers and 15 developers.
Citigroup, Sr. Application Development Manager Apr’ 2001 – Feb’ 2010
Progressive experience starting as a programmer to Development Manager. Lead a
staff of 30 programmers developing Big data application for Prime Brokerage and
Global Markets Reference Data in support of Citi Markets and Banking group. Served
as company liaison on IT matters. Managed 10+ new change requests monthly.
• Developed and implemented plans for center of excellence for big data and new
technologies. System was based in Java, SoA, Sybase and Tibco.
• Improved communication between business and technology to reduce software
defects by 50%.
EDUCATION
MS in Artificial Intelligence, Columbia Engineering (Online – Not completed) – 2018
MS in Computer Science, NJIT - 2000
BS in Chemical Engineering, Osmania University – 1999
CERTIFICATES
AWS Certified Solutions Architect (Associate) - Dec 2019
Coursera Machine Learning and Deep Learning – Dec 2018
