Arshveer Gahir
I turn complex AI challenges into revenue-generating systems that deliver measurable business impact. Companies work with me when they need ML/AI solutions that solve real problems, not just proof of concepts.
About
I turn complex AI challenges into revenue-generating systems that deliver measurable business impact. Companies work with me when they need ML/AI solutions that solve real problems, not just proof of concepts.
Currently working on Capfluence, an AI-powered lead discovery platform that saves financial advisors 100+ hours monthly through automated prospect identification and data-driven insights. Previously at Highlyte, I architected computer vision and NLP models that automated compliance verification for cannabis brands across all 50 US states, processing thousands of marketing materials and eliminating manual review bottlenecks.
I care about impact you can measure. My approach: start with the business outcome, architect backwards to the solution. Every system I build answers one question: what outcome does this enable? If the answer isn’t clear, the solution isn’t ready.
- 2 years' experience
- Joined January 2026
Industry experience
- Financial Services
- Healthcare
- Professional Services
- Software & Internet
- Government
Work experience· 4 roles
Foundation Model Training: Curated high-quality training datasets from complex business reports to enhance enterprise-grade LLM capabilities for Fortune 500 clients, directly contributing to model performance improvements in financial document understanding. Model Safety Evaluation: Designed prompt strategies for multimodal AI systems, implementing evaluation frameworks that improved model accuracy across text, visual, and structured data inputs.
Architected and deployed production-grade ML pipelines for automated document validation, delivering a 40% reduction in processing time and eliminating manual review bottlenecks for multiple client organizations. Engineered real-time dashboards using PowerBI and SQL to provide actionable insights on workflow performance.
End-to-End ML Pipeline Development: Architected and deployed production-grade machine learning pipelines for automated document validation systems, delivering 40% reduction in processing time and eliminating manual review bottlenecks for multiple client organizations in the Accounting industry. Business Intelligence & Analytics: Engineered comprehensive real-time dashboards using PowerBI and SQL to provide actionable insights on workflow performance, enabling data-driven decision making and operational optimization for enterprise clients.
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