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Vetted Mocha Professionals
Pre-screened and vetted.
Intern Software Engineer specializing in distributed systems and cloud infrastructure
Senior Full-Stack Engineer specializing in Python, cloud platforms, and scalable web systems
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Senior Full-Stack Engineer specializing in microservices, data pipelines, and AI in FinTech
Senior Software Engineer specializing in AWS serverless backend and data engineering
Staff AI & Data Engineer specializing in LLM systems and real-time data platforms
Yeshwanth Sai Pala
Mid-level Full-Stack Developer specializing in cloud microservices and AI-driven FinTech
“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.”
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.”
KARTHIKBABU VADLOORI
Mid-level Full-Stack Developer specializing in Spring Boot, React, and cloud microservices
“Backend engineer with experience at Meta and Accenture building regulated-data systems (healthcare/financial) using Python/Flask and Postgres. Has scaled high-throughput services to millions of daily requests, delivering measurable latency wins (~40% API latency reduction; ~35% faster DB-backed endpoints), and has productionized ML inference services using Docker/Kubernetes and AWS (ECS/SageMaker).”
Antoine Tan
Senior Full-Stack Software Engineer specializing in workflow automation and healthcare AI
“Backend/data engineer who has owned production Python APIs and high-throughput async workflows on AWS (FastAPI, Docker, ECS/EKS/Lambda) with mature reliability practices like idempotency, bounded retries, circuit breakers, and strong observability. Also built AWS Glue ETL into an S3/Redshift lakehouse and modernized legacy batch systems via parallel-run parity testing and feature-flagged migrations, including a SQL tuning win cutting a multi-minute query to under 10 seconds.”
Mid-Level Full-Stack Developer specializing in MERN and AWS microservices
Mid-Level Full-Stack Software Developer specializing in React, Node.js, and AWS
Staff Software Engineer specializing in scalable backend systems and observability
Senior Full-Stack Software Engineer specializing in cloud-native web apps and AI integrations
Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot and React/Angular
Staff Full-Stack & AI Engineer specializing in LLM agents, RAG, and cloud-native systems
Staff Software Engineer specializing in frontend platforms and healthcare UX
Staff Software Engineer specializing in cloud-native distributed systems for healthcare