.png){kind=logo}
Yeshwanth Sai Pala
Mid-level Full-Stack Developer specializing in cloud microservices and AI-driven FinTech
Connect with Yeshwanth
Yeshwanth already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Stripe engineer who shipped an end-to-end merchant fraud insights dashboard, spanning Spring Boot/Kafka risk-scoring services and a React+TypeScript UI. Focused on low-latency, high-volume transaction processing and production operations on AWS (EKS/CloudWatch), including handling a real traffic-spike latency incident via query optimization, indexing, and rate limiting.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- End-to-end ownership from requirements through deployment (backend + frontend)
- Designing low-latency, high-throughput event pipelines (Kafka consumers, async processing)
- Building customer-facing dashboards that make complex fraud data understandable (tooltips/filters/summaries)
- Production API design with JWT auth, validation, and consistent error handling (FastAPI/Pydantic)
- Operational excellence on AWS (EKS, CloudWatch) including incident response and performance tuning
- Data modeling for read-heavy dashboard workloads (indexes, pagination, query-metric-driven iteration)
- Cross-functional collaboration with Product and ML teams to align score interpretation and optimize inference
Like what you see? We'll introduce you to Yeshwanth directly.
Experience
Education
Skills
Languages
Browse Similar
Similar Candidates
Senior Full-Stack Engineer specializing in AI, Web3, and scalable web platforms
Bhagya Sunkara
Mid-level Full-Stack Developer specializing in cloud-native backend services and real-time data platforms
“Backend/data engineering candidate with Netflix experience designing and migrating analytics platforms from batch to real-time streaming (Kafka/Flink) across AWS and GCP. Delivered measurable improvements (40% lower data delay, 99.9% accuracy) using phased rollouts, automated data validation (Great Expectations), and strong observability (Prometheus/Grafana), and proactively hardened pipelines with idempotency to prevent duplicate Kafka processing.”
Junior Full-Stack Developer specializing in cloud-native microservices
Mid-level Full-Stack Developer specializing in AI-driven FinTech platforms
Interested in Yeshwanth?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Yeshwanth
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent