Summary
Overview
Work History
Education
Skills
Accomplishments
Certification
Timeline
Generic
Chandra Sekhara

Chandra Sekhara

Richmond,Texas

Summary

Experienced engineering leader with over a decade of experience in building and guiding high-performing teams. Skilled in recruiting diverse talent and fostering a collaborative environment for innovation. Expertise in designing, deploying, and maintaining scalable distributed systems using cloud services, with a focus on Cloud , AI/ML , Data Science , Application development. Proficient in modern programming languages, distributed databases, and container orchestration. Passionate about continuous learning and technical excellence, with a commitment to mentoring team members. Strong advocate for industry best practices and leveraging cutting-edge tools to optimize product development processes. Dedicated to aligning technical solutions with organizational strategies and standards.

Overview

17
17
years of professional experience
1
1
Certification

Work History

Senior Manager

Dell Secureworks
04.2017 - Current
  • Designing and implementing disaster recovery solutions and high availability architectures
  • Developed comprehensive documentation for internal software systems, improving knowledge sharing among team members and reducing onboarding time for new hires.
  • Collaborated with product managers to define clear project requirements, aligning engineering efforts with business goals.
  • Cultivated partnerships between engineering, product and UX personnel to create holistically designed final products.
  • Led technical upgrade projects for clients by working and coordinating with consultants and developers for integrations.
  • Implemented and maintained technology and software budget.
  • Analyzed network security and current infrastructure, assessing areas in need of improvement.
  • Liaised with other departments to minimize network interruptions and possible downtimes.
  • Oversaw development and implementation of improvements to support network operations.
  • Wrote strategic business plans outlining need for departmental information technology resources.
  • Communicated regularly with customers concerning data exchange and technology integration.
  • Designing and developing scalable, reliable, and high-performance AI and ML architectures on AWS, utilizing services such as Amazon Sagemaker & Python, PyTorch
  • Managed software release cycles with careful planning, coordination, and communication across various departments.
  • Allied with other engineering leaders to plan, manage and coordinate teams around reaching prescribed development milestones.
  • Optimized application performance through rigorous profiling, benchmarking, and refactoring of critical code components.
  • Increased overall team productivity through continuous process improvement initiatives and effective resource allocation.
  • Streamlined deployment processes by automating build pipelines and leveraging modern infrastructure-as-code practices.
  • Led a team of engineers to deliver high-quality software solutions in a timely manner, ensuring customer satisfaction and business growth.
  • Championed best practices in software architecture, code quality, and testing within the engineering organization to maintain high standards of excellence.
  • Implemented robust cybersecurity measures to protect sensitive data and maintain compliance with industry regulations.
  • Managed budgeting and resource allocation for software development projects, ensuring optimal use of resources and timely delivery of milestones.
  • Evaluated emerging technologies for potential adoption into the technology stack, ensuring competitive advantage within the market.
  • Improved software development processes by implementing agile methodologies and facilitating cross-functional team collaboration.
  • Integrated prescribed processes and conventions during project planning to align products with internal guidelines.
  • Drove high-level strategic planning of development efforts across multiple projects to optimize resource utilization and shorten development times.
  • Coordinated with human resources on recruitment efforts to attract top talent in software engineering field, contributing to highly skilled and diverse team.
  • Evaluated ongoing development efforts, providing feedback on potential methods of expediting completion and improving final results.
  • Facilitated open lines of communication between engineering teams and other departments for seamless project handoffs and efficient collaboration on cross-functional initiatives.
  • Negotiated contracts with third-party vendors for software services, balancing cost savings and quality assurance considerations.
  • Resolved critical production issues quickly and effectively by leading incident response efforts during system outages or security breaches.
  • Directly interacted with high-level customers to verify satisfaction and integrate feedback on in-process development projects.
  • Lead a team of Data Scientists, Data Engineers , Cloud Specialists, and administrators to design, deploy, and manage AI/ML Applications
  • Design & develop cloud-based application solutions using AWS native services like EC2, RDS, S3, EKS, DynamoDB, Kinesis, Sagemaker etc
  • Leading the design and implementation of AI and ML models and algorithms, including data preprocessing, feature engineering, model training, and evaluation
  • Integrating machine learning models and algorithms into production systems and applications using Python and PyTorch, ensuring reliability, scalability, and real-time inference capabilities
  • Developed software code for production systems, ensuring high-quality and efficient solutions
  • Investigated the applicability of new approaches to business problems through experimentation and theoretical analysis
  • Collaborated with cross-functional teams to anticipate and mitigate risks in machine learning solutions
  • Communicated complex issues clearly to consult on and approve team decisions, driving broader organizational actions
  • Conducting experiments and evaluations to assess the performance and effectiveness of machine learning models and iterating on model designs based on results
  • Monitoring and optimizing the performance, cost, and scalability of AI and ML solutions on AWS, and making recommendations for improvements using AWS CloudWatch, AWS Cost Explorer, and AWS Auto Scaling
  • Designed & automated the CI/CD pipelines using Gitlab
  • Establish and manage relationships with public cloud service providers, negotiating contracts, and ensuring adherence to SLAs
  • Provide technical leadership and guidance to development teams, mentoring junior architects, and promoting best practices
  • Architecting & developing a custom in house ETL framework using AWS services & Python
  • Designing and implementing scalable, secure, and highly available cloud infrastructure solutions on AWS
  • Developing Infrastructure as a code template for re-usable infrastructural patterns
  • (Terraform / Cloud formation etc.) Assisting in the migration of on-premises infrastructure and applications to the AWS cloud
  • Developing and managing infrastructure as code using tools such as AWS CloudFormation or Terraform
  • Monitoring the performance and health of AWS infrastructure and applications, identifying areas for optimization

Cloud Architect

Wipro Limited
04.2015 - 04.2017
  • Architecting & developing a custom in house ETL framework using AWS services & Python
  • Designing and implementing scalable, secure, and highly available cloud infrastructure solutions on AWS
  • Assisting in the migration of on-premises infrastructure and applications to the AWS cloud
  • Developing and managing infrastructure as code using tools such as AWS CloudFormation or Terraform
  • Monitoring the performance and health of AWS infrastructure and applications, identifying areas for optimization
  • Designing and implementing disaster recovery solutions and high availability architectures
  • Collaborating with cross-functional teams to understand requirements and provide technical guidance
  • Collaborating with data scientists and business stakeholders to understand requirements and develop machine learning models that address business challenges
  • Architecting scalable and cost-effective machine learning pipelines and workflows on AWS, incorporating best practices for data preprocessing, feature engineering, model training, and inference
  • Implementing data ingestion, storage, and processing solutions on AWS to support machine learning workflows, including data lakes, data warehouses, and streaming data pipelines
  • Ensuring security and compliance of machine learning solutions on AWS, including data encryption, access controls, and regulatory requirements
  • Leveraging DevOps practices and tools to automate machine learning model deployment, monitoring, and management on AWS
  • Providing technical guidance and leadership to development teams, data scientists, and stakeholders on machine learning best practices, architecture design, and DevOps principles.

Technology Specialist

Tech Mahindra Americas , Inc.
04.2014 - 08.2015
  • Designing and implementing scalable and reliable DevOps architectures and pipelines to support continuous integration, delivery, and deployment (CI/CD) processes
  • Selecting and implementing appropriate tools and technologies for CI/CD, automation, monitoring, and infrastructure management, such as Jenkins, GitLab, Docker, Kubernetes, Terraform, and Ansible
  • Automating infrastructure provisioning, configuration management, and application deployment processes to reduce manual intervention and improve efficiency
  • Developing and maintaining CI/CD pipelines for building, testing, and deploying applications across multiple environments, ensuring consistency and reliability
  • Setting up monitoring and alerting systems to track the health, performance, and availability of applications and infrastructure components, and responding to incidents promptly
  • Ensuring security best practices and compliance standards are implemented throughout the DevOps pipeline and infrastructure, including code scanning, vulnerability management, and access controls
  • Collaborating with development, operations, and other cross-functional teams to streamline processes, resolve issues, and drive continuous improvement
  • Identifying and resolving complex technical issues related to infrastructure, deployment, and automation, and providing guidance to team members.

Senior Consultant

HCL Technologies
10.2011 - 04.2014
  • Designing and architecting Oracle Fusion Middleware (OFM) solutions to meet business requirements
  • Planning and developing OFM architectures that are scalable, reliable, and secure
  • Providing technical leadership and guidance to development teams and stakeholders
  • Designing and implementing integrations between disparate systems and applications using OFM technologies
  • Designing and configuring Oracle WebLogic Server environments to support OFM solutions
  • Ensuring that OFM solutions adhere to security best practices and compliance standards
  • Optimizing the performance and scalability of OFM solutions through architectural design and configuration tuning
  • Establishing governance processes, standards, and guidelines for OFM development and deployment
  • Collaborating with Oracle representatives and vendors to stay informed about product updates and support options
  • Identifying and mitigating risks associated with OFM solutions
  • Documenting OFM architectures, designs, configurations, and best practices
  • Staying updated on emerging technologies and best practices in Oracle Fusion Middleware
  • Applying new knowledge to improve OFM solutions and processes.

Senior Technical Consultant

Tech Mahindra Ltd
03.2011 - 10.2011
  • Designing, crafting, and maintaining Oracle Fusion Middleware (OFM) solutions, encompassing Oracle SOA Suite, Oracle Service Bus (OSB), Oracle WebLogic Server, and Oracle API Gateway
  • Offering technical guidance and mentorship to junior developers, assisting them in adhering to best practices and solving intricate challenges
  • Collaborating with diverse teams, including architects, business analysts, and QA engineers, to grasp requirements and devise scalable solutions
  • Architecting resilient and scalable OFM architectures aligned with business objectives and industry standards
  • Developing custom components, adapters, and services using Java, Oracle SOA Suite, BPEL, Mediator, and other OFM technologies
  • Orchestrating integrations between heterogeneous systems and applications, leveraging SOA principles and standards
  • Configuring and administering Oracle WebLogic Server environments, spanning installation, clustering, and performance optimization
  • Instituting monitoring and alerting mechanisms to preemptively detect and resolve issues within OFM environments
  • Resolving complex issues in OFM solutions, encompassing performance bottlenecks, service outages, and integration glitches
  • Providing counsel on version control best practices, continuous integration, and deployment automation pertinent to OFM development
  • Engaging with Oracle support and other vendors to address technical challenges and escalate critical issues when necessary.

Senior Software Engineer

JDA Software India Pvt Ltd
03.2010 - 03.2011
  • Designing, developing, and maintaining Python applications, libraries, and APIs
  • Leading and mentoring junior developers, providing technical guidance and code reviews
  • Collaborating with cross-functional teams, including product managers, designers, and QA engineers, to translate requirements into technical solutions
  • Architecting scalable and maintainable Python codebases, following best practices and design patterns
  • Optimizing Python code for performance, scalability, and efficiency
  • Integrating third-party libraries, frameworks, and services into Python applications
  • Troubleshooting and debugging issues in production and development environments
  • Documenting code, processes, and solutions for knowledge sharing and future reference
  • Providing technical leadership and contributing to architectural decisions and technology evaluations
  • Supporting and maintaining existing Python applications, including bug fixes, performance improvements, and feature enhancements
  • Communicating effectively with stakeholders to gather requirements, provide updates, and solicit feedback.

Senior Software Engineer

Wipro Technologies Ltd
11.2006 - 03.2010
  • Implementing automated testing and continuous integration (CI) pipelines to uphold code quality and ensure reliability
  • Optimizing C++ .NET code for performance, scalability, and efficiency, leveraging profiling tools and optimization techniques
  • Integrating third-party libraries, frameworks, and services into C++ .NET applications seamlessly
  • Diagnosing and resolving issues in both production and development environments through effective troubleshooting and debugging
  • Documenting code, processes, and solutions comprehensively for the purpose of knowledge sharing and future reference
  • Remaining abreast of advancements in C++, .NET, and related technologies, as well as industry trends and best practices
  • Offering strategic technical leadership and contributing to architectural decisions and technology evaluations
  • Supporting and enhancing existing C++ .NET applications, addressing issues, implementing performance enhancements, and introducing new features.

Education

Master of Science - Data Science

UT Austin
Austin, TX
01.2025

PGP - AI / ML

UT Austin
Austin, TX
05.2023

Bachelor’s in Technology - Computer Science

JNTU
Hyderabad
05.2006

Skills

  • Machine Learning
  • Deep Learning
  • Python
  • AWS
  • Azure
  • RPA (UiPath)
  • Kubernetes
  • Terraform
  • GitLab
  • Jenkins
  • Strategic Planning
  • Cross-Functional Collaboration
  • Operations Management
  • Cross-functional Team Coordination
  • Data-driven decision-making
  • Data Analytics
  • Budget Oversight
  • Resource Allocation

Accomplishments

    · AWS Certified Machine Learning Specialty

    · Deep Learning Specialization

    · AWS Certified Solutions Architect – Associate

    · 70-534 Architecting Microsoft Azure Solutions

    · Certified Kubernetes Application Developer

    · Certified Pivotal Cloud Foundry Developer

Certification

  • AWS Certified Machine Learning Specialty
  • Deep Learning Specialization
  • AWS Certified Solutions Architect – Associate
  • 70-534 Architecting Microsoft Azure Solutions
  • Certified Kubernetes Application Developer
  • Certified Pivotal Cloud Foundry Developer

Timeline

Senior Manager

Dell Secureworks
04.2017 - Current

Cloud Architect

Wipro Limited
04.2015 - 04.2017

Technology Specialist

Tech Mahindra Americas , Inc.
04.2014 - 08.2015

Senior Consultant

HCL Technologies
10.2011 - 04.2014

Senior Technical Consultant

Tech Mahindra Ltd
03.2011 - 10.2011

Senior Software Engineer

JDA Software India Pvt Ltd
03.2010 - 03.2011

Senior Software Engineer

Wipro Technologies Ltd
11.2006 - 03.2010

Master of Science - Data Science

UT Austin

PGP - AI / ML

UT Austin

Bachelor’s in Technology - Computer Science

JNTU
Chandra Sekhara