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Building Generative AI Applications That Matters to Your Business

Sudhandar Balakrishnan

Applied AI Consultant

✅ I help premium coaches and professional services with report automation and workflows to save 20 hrs/week

✅ Instead of chasing hype, you’ll get measurable solutions that fit your business and workflows.

✅ Never worry about the system again. 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

  • 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:

Testimonials & Recommendations

Latest Insights

  • Case Study

    The 15-Minute Weekly Report That Saved Millions in Regulatory Fines

    Building an AI compliance pipeline

    Read more

  • Case Study

    From Bottleneck to Breakthrough: How Dataship Tripled Client Capacity in 8 Weeks With an AI‑Powered Feedback Engine

    Read more

About Me

I’m Sudhandar Balakrishnan, an Applied AI Consultant who helps premium coaches and professional services save time, reduce burnout, and focus on strategy by building automated workflows and reporting 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

  • Data Scientist II at Loblaw Companies Limited

    • Delivered 300,000+ personalized patient profiles that enabled targeted health recommendations, increasing patient engagement and improving long-term care outcomes

    • Automated compliance reports using GenAI, expanding coverage from 1,000 to 700,000 forms enabling healthcare providers to improve compliance and reduce operational risks

    • Built NER systems that increased condition identification by 300%, enabling early interventions that improved both patient outcomes and operational efficiency

    • 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.

  • Data Scientist at ZoomRx Inc.

    • Partnered with pharmaceutical leaders (Pfizer, Genentech, Bristol Myers Squibb) to deliver AI solutions that drove strategic decision-making

    • 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.

    • Automated ETL pipelines that eliminated 20+ hours of manual work monthly, allowing clients to redirect resources to high-value initiatives

Education

  • Masters in Computer Engineering Specializing in Artificial Intelligence, Queen's University, Canada