Sanket's Profound AI Rep

Sanket Kandagal
Experience
- Turned an expert-dependent crypto project evaluation process into BeamDelta, an investment research and risk platform, evolving a BitBNS listing framework and its earlier platformization at Chaos Ground into an independent product with 31 metrics across 7 pillars for more consistent, explainable decisions. - Expanded BeamDelta from internal decision support into a public investment-research experience, adding market intelligence, comparison and discovery workflows to make project analysis more useful beyond the analyst workflow. - Applied AI-assisted product development to build and iterate the product, directing multiple AI tools through structured product specifications, phased planning, review loops and production validation rather than treating AI as a standalone feature.

- Led the turnaround of an acquired esports platform with limited documentation, lost historical data and no original internal engineering team; created structure around product scope, technical dependencies and delivery to help bring the platform to beta in 6 months. - Led a 17-person external engineering organization through major delivery blockers, shifting an hourly engagement to milestone-based delivery with clear acceptance criteria and dependencies; reduced cost burn 40%. - Cut esports-platform infrastructure spend by 93% ($3,500/month → $250/month) by aligning platform complexity with actual product scale and moving toward a simpler monolithic architecture while removing non-core functionality.

- Reduced B2B integration time by 81% (21 days → 4 days) by treating developer experience as part of the API product—improving documentation, standardized errors, SDKs, examples and integration feedback loops instead of rebuilding working infrastructure. - Identified integration friction as the binding product constraint through 100+ client conversations, funnel evidence and transaction failures, then aligned CEO, CTO, engineering and BD/sales over 2–3 months, around a new B2B product direction. - Turned recurring demand for white-label reconciliation into a scalable product capability, using customer value, revenue at stake, strategic relevance and generalizability to distinguish reusable platform investment from one-off client customizations.

- Increased KYC onboarding conversion by 6× (5% → 30%) by redesigning verification around risk-tiered controls and workflow automation while retaining manual review for defined higher-risk cases. - Reduced manual KYC review workload 80% by automating routine verification and routing defined outliers to manual review, reducing operational friction without removing required controls. - Productized expert project evaluation into a repeatable risk-decision platform covering 7 categories and 31 signals, evaluating 80 projects and reducing analysis effort 80% (40 hours → 8 hours); enabled more consistent, explainable listing decisions and contributed to ~$2M in listing/business revenue.

Sanket Kandagal
Skills
01
Platform Product Management
API Product Management
Developer Experience
B2B Platform Strategy
Workflow Design
02
Data and Research
SQL Analysis
Funnel Analysis
User Interviews
Metric Design
03
Growth and Risk
Activation Optimization
Risk-Tiered Onboarding
KYC Product Design
Workflow Automation
04
Technical Product Delivery
Technical Scoping
Delivery Planning
Infrastructure Economics
Vendor Delivery
05
AI Product Development
AI-Assisted Development
Product Specifications
Production Validation
Agentic AI

Sanket Kandagal
Education

Visvesvaraya Technological University
2012 - 2016
Mechanical Engineering