Sitaram Tadepalli — CTO

With over 20+ years of experience across Data Science, Product, Analytics, and AI platforms, I focus on turning advanced AI capabilities into Reliable, Governed, and Business-ready systems. As Senior Vice President – Machine Learning Engineering at DBS Technologies India, I lead enterprise-wide AI engineering initiatives spanning AI protocols, model governance, training, deployment, and lifecycle management. My mandate is simple: industrialize AI at scale without compromising trust, compliance, or quality.. Earlier in my career at Tata Consultancy Services, I partnered with Fortune 100 clients across Banking, Insurance, Retail, and Transportation, building a deep understanding of complex enterprise systems, regulatory environments, and large-scale transformation programs. Beyond my corporate role, I actively contribute to the AI and engineering community through leadership and advisory roles with IEEE, Cloud Computing Innovation Council of India, AIM Leaders Council, and 3AI. I currently serve as Chair – Industry Relations Committee (IEEE Hyderabad Section), collaborating on initiatives that bridge Industry and Academia engagement. My academic background includes an M.Tech in Data Science (BITS Pilani), PGSSP in AI & ML (IIIT Hyderabad) and ongoing doctoral studies in Business Administration from Rushford Business School. I am deeply committed to AI industrialization, GenAI and MLOps and leadership development, with a strong focus on responsible and ethical AI including privacy, fairness, explainability, and governance by design. I write and speak about Enterprise AI, Leadership, and building systems that scale responsibly. If you are interested in thoughtful conversations around AI strategy, governance, or mentorship, I welcome the connection

Stackforce AI infers this person is a Fintech AI Engineering Leader with extensive experience in machine learning and data science.

Location: Hyderabad, Telangana, India

Experience: 20 yrs

Skills

Artificial Intelligence (ai)
Mlops
Applied Machine Learning
Data Science
Machine Learning
Big Data
Software Development

Career Highlights

20+ years in Data Science and AI platforms.
Leader in enterprise-wide AI engineering initiatives.
Active contributor to AI and engineering communities.

Work Experience

DBS Bank

Senior Vice President, Machine Learning Engineering (1 yr)

Vice President, Machine Learning Engineering (2 yrs 11 mos)

Tata Consultancy Services

Data Scientist (4 yrs 6 mos)

Big Data Architect (3 yrs 6 mos)

Technical Architect (4 yrs 4 mos)

Sotware Engineer (3 yrs 8 mos)

Education

Master of Technology - MTech at Birla Institute of Technology and Science, Pilani

Doctorate in Business Administration in AI and Data Science at Rushford Business School

Postgraduate Degree at IIIT Hyderabad

B.Tech at Jawaharlal Nehru Technological University

Sitaram Tadepalli

CTO

Hyderabad, Telangana, India20 yrs experience

Highly StableAI Enabled

Key Highlights

20+ years in Data Science and AI platforms.
Leader in enterprise-wide AI engineering initiatives.
Active contributor to AI and engineering communities.

Stackforce AI infers this person is a Fintech AI Engineering Leader with extensive experience in machine learning and data science.

Contact

t_ctaram@yahoo.com LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)MlopsApplied Machine LearningData ScienceMachine LearningBig DataSoftware Development

Other Skills

AI LeadershipAWS Machine LearningAgile MethodologiesAmazon Web Services (AWS)Apache HadoopApache SparkAssemblerAzure Data FactoryAzure DatabricksAzure Machine LearningBig Data AnalyticsBusiness AnalysisCOBOLCloud ComputingComputer Vision

About

Experience

Dbs bank

2 roles

Senior Vice President, Machine Learning Engineering

Promoted

Mar 2025 – Present · 1 yr · Hyderabad, Telangana, India

Lead AI & ML engineering within the Enterprise Data Platform at DBS Tech India, driving AI industrialization, Responsible AI, Generative AI, and Agentic AI capabilities.
Architect and govern enterprise-grade AI model governance frameworks, ensuring transparency, fairness, compliance, and auditability.
Spearhead AI observability and model monitoring platforms, enabling end-to-end monitoring, tracing, and reliability of AI/GenAI systems.
Shape AIOps, MLOps, and LLMOps frameworks to significantly reduce time-to-value from experimentation to production.
Enable AI-driven decisioning at scale, supporting DBS Bank’s digital transformation and risk-aware innovation.

Artificial Intelligence (AI)Generative AIApplied Machine LearningMLOpsGoogle Cloud Platform (GCP)

Vice President, Machine Learning Engineering

Apr 2022 – Mar 2025 · 2 yrs 11 mos · Hyderabad, Telangana, India

Led the enterprise Machine Learning Platform, enabling scalable, reliable deployment of ML products across the bank.
Established enterprise AI governance and Responsible AI frameworks as foundational capabilities.
Improved ML delivery lead time and operational stability through platform, tooling, and architectural enhancements.
Built production-grade MLOps systems, feature stores, and platform services supporting large-scale model deployment.

Applied Machine LearningData ScienceMachine Learning

Tata consultancy services

4 roles

Data Scientist

Sep 2017 – Mar 2022 · 4 yrs 6 mos

I have built Machine Learning models using Random Forest, XGBoost, Support Vector Machines, Linear/Logistic Regression on varied Industry use cases in Banking, Insurance, Retail and Customer Management
I do possess the required statistical, mathematical, predictive modelling skills to create applications and products which can provide the right answers.
Ability to build end-to-end machine learning APIs using Flask/Django frameworks.
Have Hands-on experience in applying data science and machine learning to implement and run machine learning workloads on Microsoft Azure.
Hands-on experience in AWS services like EMR, Sagemaker, Amazon Lex, Athena, Glue, ECS, EC2 and S3
Hands-on experience building models with deep learning frameworks using Tensorflow, Keras, PyTorch and MXNet
Ability to analyze business and process data to identify root causes, predict issues or forecast workloads
I do collaborate with business managers, Subject Matter Experts, technical resources to be able to conceptualize and develop analytical models
A thorough understanding of applied statistics including sampling approaches, causal modeling, time series analysis and data mining techniques
Validate output of analytical models or machine learning based solutions, to be able to assess fitness for release to end users
Experience in working with large structured and unstructured data sets
Skills:
AWS Machine Learning, Sagemaker, EMR, Athena, AutoML, Azure Machine Learning, Azure Cognitive services, EC2, ECS, S3, Azure Blob Storage
Python, Scikit Learn, Pandas, Numpy, Matplotlib, Seaborn, Tensorflow, Keras, Pytorch, CNN, RNN, Computer Vision, NLP, Text Processing, Chatbots
Git, Docker, Kubernetes, MLFlow, Jenkins, AWS Code Pipeline, AWS Code Commit, AWS Code Deploy, Rest APIs, GraphQL, Redis

AWS Machine LearningSagemakerEMRAzure Machine LearningPythonScikit Learn+5

Big Data Architect

Promoted

Mar 2014 – Sep 2017 · 3 yrs 6 mos

I had over 4+ years of experience in designing and implementing Big data projects using Hadoop
Ecosystem like HDFS, MapReduce, Apache Spark (SQL, MLlib), Hive, PIG, Apache
Giraph, Sqoop, Oozie, HBase.
Was involved in Solutioning, Design, Proposals and POC’s for multiple Big data & Data Science projects for Retail, Banking, Insurance clients.
Was a pioneer in setting up first competency development stream for Big Data, Cloud Computing and Machine Learning.
I am a Cloudera and MapR certified Hadoop Developer and an avid Data Scientist at Kaggle.com
I am also a Professional trainer for Big data technologies and conducted multiple trainings across locations in India
Skills:
Python, Scala, Apache Hadoop, Apache Spark, Hive, Pig, Sqoop, Kafka, Flume, Zookeeper, Zepplin
AWS EMR, EC2, S3, ECS, IAM, AWS Athena, AWS Glue, AWS Redshift
Git, Docker, Jenkins, Swagger, Postman

PythonScalaApache HadoopApache SparkHiveBig Data

Technical Architect

Promoted

Nov 2009 – Mar 2014 · 4 yrs 4 mos

I was responsible for converting existing IBM File Net based systems to HDFS Storage for cost Savings.
Redesign Rental Agreement Documents to give a new customer-centric look and store them in the MongoDB database.
Upgrading existing systems to enable secondary card authorizations using new web services.
Created a central hub for customer specific information using Big Data technologies.
Used Apache Sqoop to ingest data from various database sources like Oracle, Teradata, DB2 to HDFS
Skills:
Python, Java, Apache Hadoop, Cloudera, Sqoop, Hive, MongoDB
Mainframe, Cobol, DB2, Java

PythonJavaApache HadoopMongoDBSoftware Development

Sotware Engineer

Mar 2006 – Nov 2009 · 3 yrs 8 mos

Primary Roles and Responsibilities
I was involved in the Maintenance, enhancement and development of Client's front-end application
Was involved in Estimation of software development effort
Helping the team in Requirement capture, design and code development
Performing Unit and system testing tasks on day to day basis
Continuous client interaction to ensure an open communication loop is maintained with reference to queries and issues
Responsible for Deployment and post-deployment support to packages
Conducted multiple Defect prevention and causal analysis activities
I was also responsible for System and business knowledge building and documentation
Skills:
zOS Mainframe, Assembler, COBOL, DB2, IMS DB/DC, VSAM
Java, MongoDB, JSF, Legacy Modernization, MySQL