Building Generative AI Applications That Matters to Your Business
Applied AI Implementation
✅ I help businesses and organizations build production ready generative AI applications that fit their workflows and business metrics.
✅ Instead of chasing hype, you’ll get measurable solutions that fit your business and workflows.
✅ You get dashboards, documentation, and ongoing support. So, as your team and business change, the system runs smoothly.
Where You Are Right Now
- Your client delivery and reporting workflows are scattered across tools, documents, spreadsheets, and manual steps.
- The “glue work” between tools drains hours every week, leaving you less time for growth and strategy.
- You’ve tried no code tools, but nothing fits your systems or scales with your growth.
- The Generative AI landscape feels overwhelming with too many tools and too much hype.
- You lack in-house Applied AI expertise to execute confidently.
Where I Help You Get To
- Production ready generative AI applications that fit your workflows and business metrics.
- Automated reports that give you answers in minutes, not days.
- Seamless end-to-end workflows that connect your tools, cut out duplication, and run automatically
- Smooth client delivery and faster decisions.
- Dashboards that precisely show what’s working and what’s not.
- Freedom to focus on growth instead of manual operations.
How I Help You Get There
I use my proven 3-step Applied AI approach that takes you from finding the biggest bottleneck to implementing a Generative AI application that matters to your business. Find more about my process here:
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About Me
I’m Sudhandar Balakrishnan, an Applied AI Implementation Specialist who helps businesses and organizations save time, reduce burnout, and focus on strategy by building AI systems.
Before consulting, I worked as a Data Scientist at Loblaws, Canada's largest retail and pharmacy chain. There, I led the rollout of a GenAI-powered compliance report that expanded audit coverage from 1,000 to 700,000 forms—saving 30+ hours of manual work and millions in potential fines.
And if you’re wondering who I am beyond work, I quit my corporate job because I wanted to build my own business and work for myself. Outside of work, you’ll probably find me exploring cafes in downtown Toronto or lifting weights at the gym.
I also hold a Master’s degree in Computer Engineering from Queen’s University, where I specialized in Artificial Intelligence. My research focused on applying Generative AI techniques to financial data.
Professional Experience
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Data Scientist II at Loblaw Companies Limited
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Delivered 300,000+ personalized patient profiles that enabled targeted health recommendations, increasing patient engagement and improving long-term care outcomes
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Automated compliance reports using GenAI, expanding coverage from 1,000 to 700,000 forms enabling healthcare providers to improve compliance and reduce operational risks
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Built NER systems that increased condition identification by 300%, enabling early interventions that improved both patient outcomes and operational efficiency
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Led a cross-functional team to automate a critical monitoring system for 160+ services, reducing data loss detection time from 3+ days to 6 hours and eliminating 1 hour of daily manual updates, using Google Cloud Composer and Airflow.
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Data Scientist at ZoomRx Inc.
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Partnered with pharmaceutical leaders (Pfizer, Genentech, Bristol Myers Squibb) to deliver AI solutions that drove strategic decision-making
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Instrumental in building a stable knowledge graph for an enterprise search engine (RAG) worth $2M that recognized drugs, diseases, firms, and acronyms and established relationships between the entities.
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Automated ETL pipelines that eliminated 20+ hours of manual work monthly, allowing clients to redirect resources to high-value initiatives
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Education
- Masters in Computer Engineering Specializing in Artificial Intelligence, Queen's University, Canada