Rajeev Singla
VP of Engineering | AI-Assisted Cloud Platform Modernization | Risk Technology | Fintech Architecture
Engineering leader with 18+ years of hands-on experience designing and shipping cloud-native, AI-enabled, high-volume consumer platforms in banking, fintech, and financial automation.
Founding member of Credit, Fraud & Risk Technology at Jenius Bank, building decisioning, rule-engine, and integration platforms used to originate $30M+ in monthly loans.
Currently focused on AI-assisted rebuilds of serverless financial platforms: decomposing legacy container/Fargate workloads into Lambda zip APIs, Terraform-managed AWS infrastructure, CloudFront delivery, and auditable trading workflows.
Track record of strategic migrations that cut latency, scale throughput, accelerate releases, and create durable engineering organizations.
Technical breadth, applied to fintech and platforms
AI-assisted serverless financial platform rebuild
A practical example of how I use AI in day-to-day engineering: architecture tradeoff analysis, refactoring plans, infrastructure sequencing, smoke-test design, and deployment documentation.
Market App: Serverless Financial Intelligence Platform
A clean rebuild of a market-alerts and autotrading platform that retires ECR/Fargate, moves four backend services to Lambda zip APIs, and serves the SPA plus APIs through CloudFront on financial.apicode.io.
The target architecture reduces Docker/ECR/Fargate operational overhead, keeps paper trading auditable through DynamoDB, and creates a repeatable Terraform workflow for financial.apicode.io.
Open project case study- Used AI as an architecture partner to compare Fargate, Lambda image, and Lambda zip deployment models and settle on the simplest operational target.
- Used AI to draft the destroy/rebuild sequence, identify blast-radius boundaries, and keep apicode.io hosting, bootstrap state, and legacy local IB experiments out of scope.
- Used AI-assisted refactoring to convert container/FastAPI services into API Gateway v2 Lambda handlers while preserving local-only experimentation paths.
- Used AI to generate smoke-test gates, risk notes, and deployment checklists so infrastructure changes remain auditable and reversible.
Quantified outcomes
Metrics straight from recent and historical engagements.
Spearheaded Lending Tree integration at Jenius Bank, opening a high-volume aggregator channel.
Aggregator integration delivering net-new top-of-funnel volume into the loan origination platform.
Cut decisioning P99 from 200ms to 5ms by migrating off a legacy SaaS rule engine.
Scaled core decisioning from 72 to 240 requests, enabling significant business growth.
Re-engineered pricing deployment from 3 weeks to 1 week through automation and process redesign.
Delivered with zero P1/P2 critical incidents through release automation and 60–80% test coverage gains.
Direct and indirect reports across managers and engineers across the CFRT organization.
Grew unsecured lending engineering team from 1 developer to 15+ to deliver core loan products.
Career timeline
Filter by industry to see relevant roles. Click any role to expand its highlights and tech stack.
Want the full résumé?
The latest version is on LinkedIn. Reach out via email and I’m happy to share a PDF.