The Associate Director

Leadership position in a Digital first & AI first fast-paced technology company with varied responsibilities and the potential for advancement in an organization, to provide design & development solutions for Enterprise critical data requirement utilizing my expertise in Digital space & In AI/ML MLOps,GenAIOps,LLMOps, and RAGOps plays a critical role in driving innovation, efficiency, and business value through the effective application of artificial intelligence and machine learning technologies.

Certifications

• AWS Certified Solutions Architect

  AWS

• Certified SAFe® 5 Product Owner/Product Manage

  SAFe@5

• Certified SAFe® 5 Practitioner teams

  SAFe@5

• Post Graduate Diploma in Machine Learning and Artificial Intelligence

  NIT Warangal

• Data & AI Enrich Program in Machine Learning and Artificial Intelligence

  IISc Bangalore

Skills Summary :

Leadership and Strategy:

• Provide strategic direction and vision for AI/ML initiatives aligned with organizational goals and objectives.
• Collaborate with senior management to define AI/ML strategies and roadmaps.
• Lead and mentor AI/ML teams, including data scientists, machine learning engineers, and MLOps engineers.

AI/ML Project Management:

• Oversee the end-to-end lifecycle of AI/ML projects, from ideation to deployment and maintenance.
• Define project goals, scope, timelines, and success metrics.
• Coordinate cross-functional teams to ensure successful project execution.

AI/ML Model Development:

• Guide the development and implementation of machine learning models and algorithms.
• Stay abreast of the latest research and advancements in AI/ML technologies.
• Ensure best practices for data collection, feature engineering, model training, and evaluation.

MLOps Implementation:

• Establish and maintain MLOps best practices and processes for model deployment, monitoring, and management.
• Implement tools and frameworks for model versioning, testing, and deployment automation.
• Collaborate with DevOps teams to integrate AI/ML workflows into existing CI/CD pipelines.

Infrastructure and Resource Management:

• Manage resources, including budgets, staffing, and infrastructure requirements for AI/ML projects.
• Ensure compliance with data privacy and security regulations in AI/ML workflows.

Performance Monitoring and Optimization:

• Establish key performance indicators (KPIs) and metrics to measure the performance of AI/ML models and MLOps processes.
• Monitor model performance and identify opportunities for optimization and enhancement.
• Implement strategies for model retraining and adaptation to evolving data patterns.

Stakeholder Engagement:

• Collaborate with business stakeholders to understand requirements and priorities for AI/ML solutions.
• Communicate project progress, insights, and recommendations to executive leadership and other stakeholders.
• Build relationships with external partners, vendors, and research institutions to leverage expertise and resources.

Continuous Learning and Development:

• Foster a culture of continuous learning and knowledge sharing within the AI/ML team.
• Encourage participation in conferences, workshops, and training programs to stay updated on emerging trends and technologies in AI/ML and MLOps,GenAIOps,LLMOps, and RAGOps.

Technical Skills: Python, SQL, AWS, Snowflake, MATLAB

Education

• MCA , Computer Science

  Andhra university (May 2010)

• B.Sc, Computer Science

  Andhra university (May 2007)

Work Experience

Associate Director @ TIAA Global Capabilities Pune, India (Jan 2017 - Present)

• Solutions Architect at TIAA helping Business partners in their cloud transformation, AI/ML, Data Analytics to innovate and transform through modern software
• I’m technical leader over 14 years of industry experience, advising executives and engineers on cloud strategies designed to innovate using data-driven and event- driven methodology and artificial intelligence/machine learning (AI/ML)and GENAI Platforms .

Software Team Lead @ Amdocs Pune India(June 2010 - Dec 2016)

• Responsible for executing against high-performing offers and cross channel marketing programs. and played key role in the development of our client-centric and automated communication, with a focus on personalization and client loyalty.
• Coordinate and lead campaign development by using Adobe Campaign classic .Created a rules-based offer catalogue. Manage offers by weights or priorities and cap how many times customers see a specific offer. Then,personalize offers based on criteria like location, customer lifetime value,loyalty status and more.
• Experienced in Offers are sent to contacts via an inbound (website or callcenter) or outbound (email delivery, direct mail or SMS within a marketing campaign)
• Uncover potential data gaps around related to new campaigns or campaign enhancement

Holding US (B1/B2) VISA valid till Mar 2026