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Vetted AWS IAM Professionals
Pre-screened and vetted.
Mid-Level Backend Software Engineer specializing in FinTech and payments
Mid-level Software Engineer specializing in cloud-native microservices and Healthcare IT
Senior Full-Stack Software Engineer specializing in cloud-native FinTech and data pipelines
Senior Full-Stack Developer specializing in Python, Django, React, and cloud-native SaaS
Naresh Vemula
Mid-level Data Engineer specializing in Cloud & Big Data ETL/ELT
“Data engineer in financial services (Northern Trust) who has worked across ingestion, transformation, data quality, orchestration, and serving on AWS (S3/Glue/EMR) with Airflow. Highlights include processing ~15M transactions with validation/anomaly detection for regulatory reporting and improving Snowflake query performance by 27% for risk/compliance reporting. Also built a personal real-time streaming service (FastAPI, Kafka, Redis, Cassandra) and uses production reliability patterns like blue-green/atomic swaps and robust retry strategies.”
Punith Jayaramu
Mid-Level Full-Stack Software Engineer specializing in FinTech and Mortgage systems
“Full-stack engineer with deep AWS serverless and reliability experience in fintech/underwriting systems, including eligibility scoring and dynamic rule deployments. Built and productionized an LLM-powered incident RCA assistant (Bedrock Claude 3 + custom RAG + React) achieving 92% precision and ~75% MTTR reduction, with mature guardrails (evals, drift monitoring, HITL, audit logs) and strong operational rigor (canaries, chaos testing, DLQ remediation).”
Anisha Roseline Milton Fernandes
Mid-level Software Engineer specializing in FinTech and AI/ML
“Full-stack engineer with payments/settlement domain experience who modernized a payment tracking workflow from REST to GraphQL and delivered a production payment status dashboard using Next.js App Router + TypeScript. Strong in performance and reliability work (Postgres indexing/Explain Analyze, Redis caching, Datadog observability) and in durable event-driven processing with Kafka (DLQs, idempotency, reconciliation, event replay).”
Tanya Rodrigues
Mid-level Software Engineer specializing in cloud-native AI and full-stack systems
“Application-focused software engineer working on AI-heavy products, with hands-on experience building end-to-end document processing, retrieval, and configurable workflow systems. Particularly strong in combining React/TypeScript UX, FastAPI/Postgres backend design, and LLM workflow reliability improvements through validation, prompt iteration, and reusable abstractions.”
Prudhvi Avula
Senior Full-Stack Software Engineer specializing in Java, React, and distributed systems
“Implementation and AI workflow engineer who has owned customer deployments end-to-end for messaging/integration platforms and also built production-oriented LLM systems. Stands out for combining stakeholder-facing delivery leadership with hands-on experience in Kafka/MongoDB integrations, RAG/agent architectures, and resilient document-processing pipelines with strong validation and fallback controls.”
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Senior Platform/DevSecOps Engineer specializing in Kubernetes and secure cloud platforms
Director-level Engineering Manager / Java Architect specializing in cloud-native payments microservices
Mid-level Workday Consultant specializing in HCM, integrations, and HRIS operations
Mid-level Backend Engineer specializing in cloud-native microservices and FinTech systems
Mid-level Data Engineer specializing in AI/ML, streaming, and lakehouse architectures
Staff AI/ML Engineer specializing in backend platforms and LLM systems
Mid-level Software Engineer specializing in Python APIs, cloud, and AI/LLM integration
Mid-level Data Engineer specializing in AWS data platforms and streaming pipelines
Mid-level Software Engineer specializing in FinTech and scalable backend systems
Mid-level AI/ML Engineer specializing in financial risk, NLP, and MLOps