Senior Platform AI Engineer with Enterprise Focus

Randeep Pundru

Email: **************@*****.*** Mobile: 469-***-****

PROFESSIONAL SUMMARY

6+ years of experience as a Sr. Platform AI Engineer specializing in AI infrastructure platform development and application engineering for enterprise-scale solutions. Proven track record in building scalable AI applications and ensuring security compliance.

Strong expertise in Python development, with a focus on AI and data science, enabling the creation of robust applications that leverage machine learning capabilities for enhanced business outcomes.

Demonstrated experience in defining and implementing core components of enterprise AI platforms, establishing best practices, frameworks, and reference architectures for AI/ML application development.

Proficient in integrating with Copilot Studio and Microsoft Copilot, managing access, identities, and security compliance to ensure secure system design within enterprise environments.

Skilled in collaborating with engineering and product stakeholders, acting as a senior individual contributor while mentoring junior team members to foster a cohesive and high-performing team.

Background in large enterprise environments, with experience in building enterprise AI platforms from the ground up, ensuring alignment with organizational goals and ROI.

Familiarity with cloud-based AI services such as Azure OpenAI and AWS AI/ML, enhancing the capability to deliver innovative AI solutions tailored to business needs.

SKILLS

Programming Languages: Python, C#, Java, JavaScript, TypeScript, SQL, R, Go

AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, OpenAI, Microsoft Copilot, Copilot Studio, Apache Spark

Cloud Platforms: Azure, AWS, GCP, Azure OpenAI, AWS AI/ML, EC2, S3, Lambda

Data Engineering: Data Warehousing, ETL Processes, Data Modeling, SQL Server, NoSQL Databases, Apache Kafka, Apache Airflow, BigQuery

Application Development: Full Stack Development, Microservices Architecture, RESTful APIs, Chatbot Development, AI-enabled Applications, Agile Methodologies, DevOps Practices, CI/CD Pipelines

Security & Compliance: Identity Management, Security Integration, Compliance Standards, Data Privacy, OAuth, SAML, Role-Based Access Control, Secure Coding Practices

Collaboration Tools: JIRA, Confluence, Git, GitHub, Azure DevOps, Slack, Microsoft Teams, Trello

Soft Skills: Leadership, Communication, Teamwork, Problem-Solving, Adaptability, Critical Thinking, Mentoring, Conflict Resolution

Enterprise Architecture: Reference Architectures, Best Practices, System Design, Infrastructure Management, Scalability, Performance Optimization, Technical Documentation, Solution Design

Industry Knowledge: Oil & Gas Sector, Energy Sector, Enterprise Environments, Consulting Practices, AI Integration, Business Strategy, ROI Analysis, Stakeholder Engagement

WORK EXPERIENCE

Bank Of America - Dallas, TX

Senior Full Stack .NET Developer - Feb 2024 to Present

Spearheaded development of enterprise AI applications using Python and .NET, establishing best practices for AI Foundry, which enhanced deployment efficiency by 30%.

Collaborated with cross-functional teams to define and standardize core components of the AI platform, ensuring alignment with enterprise security compliance and identity management protocols.

Engineered scalable chatbots and AI-enabled applications, proving build capabilities that future development teams can replicate, resulting in a 25% reduction in time-to-market.

Mentored junior developers, fostering a cohesive team environment while enhancing their skills in AI/ML application development and integration with Microsoft Copilot.

Integrated Microsoft Copilot with existing enterprise systems, managing access and identities to ensure secure system design, which improved compliance metrics by 20%.

Presented technical concepts clearly to both technical and non-technical stakeholders, enhancing understanding and support for AI initiatives across the organization.

Established frameworks and reference architectures for AI/ML application development, which streamlined processes and improved overall project delivery timelines.

Conducted regular code reviews and implemented feedback mechanisms, resulting in a 15% increase in code quality and maintainability across projects.

Actively contributed to the adoption strategy of AI tools, collaborating with leadership to identify high-impact use cases for implementation.

Evaluated and integrated cloud-based AI services, including Azure AI and AWS AI/ML, into existing workflows, enhancing the platform's capabilities and scalability.

Technologies Used: Python, .NET, Microsoft Copilot, Azure AI, AWS AI/ML, AI Foundry, Identity Management, Security Compliance, Chatbots, AI-Enabled Applications, Agile Methodologies, CI/CD, Kubernetes

Citi Bank - Irving, Texas

Cloud Software Engineer - Jul 2022 to Jan 2024

Developed and optimized cloud-based applications using Python and AWS, contributing to the enterprise AI platform's scalability and performance improvements of 40%.

Collaborated with engineering teams to establish best practices for AI/ML integration, ensuring secure system design and compliance with enterprise identity management standards.

Implemented AI-driven solutions in cloud environments, enhancing operational efficiency and reducing costs by 20% through automation and streamlined processes.

Acted as a key contributor in cross-functional teams, supporting the adoption of AI tools and technologies while mentoring junior engineers in cloud application development.

Designed and built initial prototypes for AI applications, including chatbots, which demonstrated the platform's capabilities and facilitated user feedback for further enhancements.

Integrated security protocols into cloud applications, ensuring compliance with industry standards and enhancing data protection measures across the organization.

Presented technical findings and project updates to stakeholders, improving transparency and fostering collaboration between technical and non-technical teams.

Conducted performance assessments of existing applications, identifying areas for improvement and implementing solutions that increased system reliability by 30%.

Participated in the development of reference architectures for cloud-based AI solutions, providing a framework for future projects and reducing development time.

Engaged in continuous learning and certification in cloud technologies, enhancing personal expertise and contributing to the team's overall knowledge base.

Technologies Used: Python, AWS, AI/ML, Cloud Applications, Security Protocols, Identity Management, Chatbots, Agile Methodologies, CI/CD, Kubernetes, Azure AI, DevOps

CVS Health - Bangalore, India

Full Stack Developer - Jan 2019 to Dec 2021

Engineered full stack applications using .NET and JavaScript, contributing to the development of AI-enabled solutions that improved user engagement by 35%.

Collaborated with product teams to define application requirements and establish best practices for AI/ML integration, ensuring alignment with business objectives.

Developed and maintained RESTful APIs to facilitate seamless integration between front-end and back-end systems, enhancing application performance and user experience.

Participated in code reviews and provided constructive feedback, fostering a culture of continuous improvement and knowledge sharing within the development team.

Implemented security measures in application design, ensuring compliance with industry standards and protecting sensitive user data from breaches.

Assisted in the migration of legacy systems to cloud-based platforms, improving scalability and reducing operational costs by 15%.

Engaged in agile development practices, participating in sprint planning and daily standups to ensure timely project delivery and team alignment.

Contributed to the documentation of application architectures and development processes, enhancing team onboarding and knowledge transfer.

Developed unit tests and performed debugging to ensure high-quality code delivery, resulting in a 20% reduction in post-deployment issues.

Collaborated with cross-functional teams to gather user feedback and iterate on application features, enhancing overall product satisfaction.

Technologies Used: .NET, JavaScript, RESTful APIs, AI/ML, Cloud Platforms, Agile Methodologies, Security Compliance, Unit Testing, CI/CD, DevOps, Kubernetes, Microservices

CERTIFICATIONS

Microsoft Certified: Azure Developer Associate

Microsoft Certified: Azure Solutions Architect Associate

AWS Certified Developer - Associate

Certified Kubernetes Application Developer (CKAD)

EDUCATION

Master’s in Computer & Information Science Southern Arkansas University 3.86 GPA

Bachelor’s in B.Tech TKR College of Engineering & Technology, Hyderabad 79%

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