Dr. Balakrishna Soorali

•I lead the AI and Advanced Analytics function for ABB’s Process Automation division, setting up
and operating our AI services under ITIL standards. I position the team as the central AI Hub,
building governance, platforms, and business-aligned solutions that honor ABB’s engineering
heritage while guiding our move toward advanced, data-driven capabilities.Key
Responsibilities
•I establish the division’s AI service model, covering solution development, MLOps, monitoring,
and architecture consulting across Azure and Snowflake.
•I build governance frameworks and standard toolstacks that ensure compliance, reuse, and
reliable AI operations.
•I lead a portfolio of AI projects, partnering with business stakeholders to identify opportunities
and deliver measurable impact.
•I run OpCo and GATE meetings for major analytics and AI initiatives, ensuring alignment,
readiness, and structured decision-making.
•I mentor and guide a high-performing team of data scientists and ML engineers.
•I develop shared AI platforms and reusable components that support scalable, efficient
delivery.
•I foster AI culture across the division, sponsoring communities of practice and promoting datadriven
decision-making.
•I manage vendor relationships to ensure quality delivery and alignment with ABB’s technology
strategy.
Expertise
Machine Learning, Generative AI, Azure, Snowflake, MLOps, API-driven architectures, ITIL-based
AI services, cross-functional leadership.

• Spearheaded AI strategy development, emphasizing Generative AI and large language models (LLMs), driving innovation in text generation.
• Owned end-to-end product development lifecycle, from ideation to market launch, ensuring alignment with organizational goals, budget constraints, and customer needs.
• Applied NLP techniques to address complex LegalTech challenges, enhancing topic detection, classification, and natural language understanding in legal documents.
• Led cross-functional teams to deliver high-quality solutions, exceeding client expectations in legal and finance sectors. Managed data warehouse and unstructured data to drive insights and inform business processes.
• Optimized business processes for increased efficiency through detailed data analysis and visualization tools
• Evaluated emerging technologies to assess potential applications within the organization's existing infrastructure or future projects

• Developed ML prediction models for CRM lead conversions, collections, and customer retention, driving improved business performance.
• Directed development of customer analytics use cases, owning product development initiatives to deliver innovative solutions under tight timelines, budget constraints, and technical constraints.
• Facilitated Scrum methodologies to achieve project goals and ensure successful AI solution implementation for international markets.
• Collaborated with stakeholders to define product vision, strategy, and roadmaps, ensuring alignment with business objectives and customer requirements.
• Automated repetitive tasks using scripting languages such as Python or R, saving time during analytical process significantly
• Mentored junior team members in best practices for data science methodologies, fostering culture of continuous improvement

• Conducted meticulous measurement campaigns and performed sophisticated data analysis, specializing in data visualization and optimization challenges.
• Demonstrated proficiency in image processing and mathematical modeling using advanced tools such as Matlab and Python.
• R&D in the area of microelectromechanical systems.
• Provided invaluable guidance and mentorship to doctoral and Master's students, fostering their academic and professional development.

• R&D in the area of microelectromechanical systems.
• Data-driven experimental design and model development.
• Image processing & mathematical modeling in Matlab and Python.