DeFi
AMM + Rewards
12-week engagement
Case 01: AMM rewards redesign for a high-volume liquidity network
Problem
A live AMM protocol saw rising reward distribution failures during peak usage. The existing reward logic required repeated state writes and made keeper operations fragile under gas volatility. Governance also lacked safe levers for adjusting emissions quickly.
Approach
We split the work into three tracks: accounting redesign, operational controls, and migration safety. The team first documented invariants for reward conservation, then introduced bounded batch claims and queue-based keeper execution. Governance controls were updated with time-delayed parameter changes and emergency caps.
Architecture
Liquidity Pools
Reward Accounting Module
Keeper Queue + Scheduler
Governance Parameter Guardrails
Outcome
- 78% drop in failed reward transactions in the first month after rollout
- 31% gas reduction on average user claim path
- Faster governance response for emissions adjustments without emergency hotfixes
Tech stack
Solidity, Foundry, Hardhat deployment scripts, custom keeper service (Node.js), Grafana alerts, and event-indexed analytics APIs.
Key lessons
Reward systems fail operationally before they fail mathematically. Designing for keeper reliability and governance latency is as important as optimizing core formulas.
Tokenization
Private Credit
10-week engagement
Case 02: Tokenized credit issuance and redemption platform
Problem
A fintech team needed on-chain issuance rails for private credit products while preserving role-based approval workflows and investor transfer constraints. Their pilot contracts could mint and burn, but lacked enforceable compliance paths and clear audit reporting outputs.
Approach
We modeled the full lifecycle: investor onboarding, issuance approvals, subscription windows, and redemption settlement. Each lifecycle stage was backed by explicit role permissions and event logs designed for reconciliation. We also introduced emergency controls scoped to specific instruments rather than full protocol pause.
Architecture
Investor Registry + Policy Engine
Issuance Controller
Token Contract + Transfer Rules
Redemption + Settlement Service
Outcome
- Reduced manual compliance review time by 42% through deterministic rule checks
- Enabled instrument-specific freeze controls for operational incidents
- Delivered auditor-ready event schema and monthly reconciliation exports
Tech stack
Solidity, TypeScript service layer, policy engine integration, PostgreSQL reconciliation store, and signed admin action logging.
Key lessons
Tokenization succeeds when product operations are encoded as explicit state transitions with accountable actors, not hidden in manual off-chain checklists.
Treasury Ops
Automation
8-week engagement
Case 03: Policy-based treasury automation across two chains
Problem
A protocol treasury team manually rebalanced positions and stablecoin reserves every day. Execution depended on a few operators, creating latency and key-person risk. During volatility, manual approvals caused missed target bands and avoidable slippage.
Approach
We designed a policy engine with threshold triggers, execution caps, and dual-approval fallbacks. Automated jobs handled standard rebalance operations while high-impact actions required multisig confirmation. Monitoring was added for route failures, queue delays, and policy drift from target allocations.
Architecture
Treasury Policy Rules
Keeper Trigger Service
Execution Router (Chain A/B)
Monitoring + Alert Channel
Outcome
- Manual treasury interventions reduced from daily to weekly
- Policy breach detection moved from hours to near real-time alerts
- Improved execution consistency under volatile conditions
Tech stack
Solidity policy contracts, off-chain scheduler (Node.js), multisig integration, chain RPC failover setup, and metrics dashboards.
Key lessons
Automation is only safe when every auto-path has a bounded blast radius and every manual override is clearly defined before incidents happen.
Analytics
Wallet Intelligence
9-week engagement
Case 04: Low-latency analytics pipeline for wallet product insights
Problem
A wallet product had fragmented analytics: on-chain events, user actions, and support tickets were disconnected. Dashboards lagged by several minutes, making incident triage and product decisions reactive rather than proactive.
Approach
We implemented a versioned data contract across indexers and APIs, then introduced replay-safe event processors with strict checkpointing. The frontend moved to contract-aware query models, reducing expensive ad-hoc joins. Monitoring tracked chain lag, processor failures, and schema drift.
Architecture
On-chain Event Indexers
Event Normalization Bus
Analytics API Layer
Product + Ops Dashboards
Outcome
- Dashboard lag reduced from 3-5 minutes to under 20 seconds
- Support investigation time dropped by 37% with unified event views
- Product team gained reliable funnel metrics for wallet onboarding changes
Tech stack
Custom indexers, PostgreSQL, TypeScript APIs, Redis queueing, and operational alerting with anomaly thresholds.
Key lessons
Data reliability is a product feature. Indexing and monitoring architecture should be treated as part of core engineering scope, not a post-launch add-on.
