Vetted Amazon CloudWatch Professionals

“Pragmatic AI-focused builder who uses tools like ChatGPT and Claude to accelerate development while maintaining strict review, testing, and architectural ownership. Has hands-on experience designing lightweight multi-agent workflows, including a RAG-style system with separate retrieval and response roles, and approaches new AI trends through direct experimentation rather than hype.”

Arya Thorat

Screened

Mid-level Software Engineer specializing in distributed cloud-native FinTech systems

Texas, USA5y exp

“Full-stack/backend engineer with deep experience building real-time fraud and credit-risk systems. Shipped an event-driven fraud monitoring platform (Kafka→MongoDB/Redis→WebSockets) delivering sub-200ms updates to 3000+ concurrent internal users, and built a Java/Spring Boot credit risk decisioning API that improved turnaround time by 30–40%. Strong AWS production operations (ECS Fargate/RDS/Redis) with proven incident response and performance tuning.”

“Growth-stage startup engineer with strong end-to-end ownership across React, Java/Spring Boot, MySQL, and cloud deployment. They led workflow automation products that replaced manual operational processes, improved efficiency and reliability, and evolved the platform into a more configurable B2B workflow system shaped by user feedback.”

Rishabh Goyal

Screened

Mid-level Software Engineer specializing in backend microservices and FinTech

USA4y exp

“Python backend engineer focused on real-time e-commerce analytics systems, building FastAPI + Kafka microservices with strong idempotent processing patterns (Postgres upserts, manual offsets, Redis caching). Has hands-on Kubernetes (EKS) and GitOps delivery with Argo CD/GitHub Actions, plus experience migrating containerized services from on-prem VMs to AWS using Terraform and blue-green cutovers.”

“Built an employee payroll and leave management system end to end at Northwest Missouri State University, owning stakeholder discovery, UI design, frontend implementation, backend APIs, and payroll business logic. Also has experience modernizing legacy transaction processing with an incremental migration approach from COBOL-based batch systems to Spring Boot services.”

“Backend-focused engineer with production experience across finance and healthcare, currently building real-time payment microservices at JPMorgan Chase handling 3M+ transactions daily and 100k TPS peak. Stands out for combining high-scale distributed systems design, measurable database and ETL performance wins, and strong compliance-minded architecture in regulated domains.”

“Applied NLP/ML engineer with experience at KeyBank and Novartis building production document intelligence and entity-resolution systems in finance and healthcare. Has delivered end-to-end pipelines (Airflow + AWS) using transformers (DistilBERT/Sentence-BERT), vector search (FAISS/Milvus/Pinecone), and human-in-the-loop labeling to achieve measurable gains (40%+ faster queries; up to 88% F1 and 93% precision/90% recall in entity linking).”

“Backend/data engineer with hands-on production experience building reliable Python FastAPI services on Kubernetes and delivering AWS EKS + Terraform CI/CD with strong secrets isolation and rollback practices. Also built AWS Glue ETL pipelines into S3/Redshift with schema-evolution handling and data-quality controls, modernized legacy analytics into modular Python services with parallel-run parity validation, and has demonstrated SQL tuning impact (minutes to seconds) plus ownership of batch pipeline incidents end-to-end.”

“Backend/data engineer with hands-on production experience building FastAPI APIs secured with JWT and delivering AWS-based data processing solutions using Lambda and ECS Fargate. Has worked with Snowflake/third-party API sources and targets including DynamoDB, S3, RDS, Redshift, and Glue, and uses CloudWatch/X-Ray for monitoring and troubleshooting. Seeking ~$65/hr and is open to onsite work in Bethesda, MD.”

“Built and owned an end-to-end RAG-based AI support platform at Mechanize (FastAPI/LangChain/Pinecone/React) with rigorous evals and guardrails, driving 45% fewer support tickets and ~$280K annual savings. Also led a high-risk legacy modernization at Argo AI, incrementally extracting a monolithic Django backend using Strangler Fig + feature flags while supporting 10K+ concurrent users.”

“Software engineer/QA automation leader with Lowe’s experience owning automation quality strategy for a customer-facing platform supporting large contractor orders. Built TypeScript/React dashboards backed by Spring Boot microservices (MongoDB) and RabbitMQ async messaging, with strong CI/CD test automation and production monitoring (Prometheus/Grafana). Also created an internal automated test reporting dashboard that improved QA workflow through training-led adoption and iterative refinement.”

“Built an end-to-end GenAI underwriting copilot at TD Bank for complex financial documents, combining RoBERTa-based risk classification with Azure OpenAI RAG to deliver grounded, citation-based insights. Drove a 40-50% reduction in manual underwriting review time and created reusable FastAPI ML services that cut integration effort for other teams by 30-40%.”

“Senior project/program leader with 19+ years of experience delivering enterprise B2B and SaaS implementations across highly regulated and operationally complex industries. Brings broad cross-domain expertise spanning CRM, IAM, IoT/fleet, data migration, and platform modernization, with repeated ownership of multi-project portfolios, executive governance, and go-live readiness for high-visibility enterprise releases.”