Vetted Amazon CloudWatch Professionals

Punith Jayaramu

Screened

Mid-Level Full-Stack Software Engineer specializing in FinTech and Mortgage systems

Auburn Hills, MI3y exp

“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).”

Sree Gautham Alluri

Screened

Mid-level Robotics & AI Developer specializing in autonomous navigation and LLM-powered robotic systems

Exton, PA6y exp

“Robotics Support Engineer at HAI Robotics supporting a 385-robot warehouse fleet at a Shein client site. Built a production automation and reporting workflow to diagnose and resolve abnormal shelf locations, cutting incidents from ~250/day to ~25/day while providing actionable root-cause data to client/ops/maintenance. Hands-on ROS 2 (Humble) debugging across Nav2/localization/TF and sensor integration issues including QoS and firmware coordination.”

Mark Wlodawski

Screened

Senior Unity Developer specializing in AI/LLM systems and multiplayer VR

Orlando, FL11y exp

“Backend/data engineer focused on AWS-native Python systems: built a FastAPI microservice on ECS/Fargate serving real-time analytics at millions of daily requests with strong reliability (OAuth2/JWT, retries/timeouts, correlation IDs) and autoscaling. Also delivered Glue/PySpark ETL pipelines to curated S3 Parquet/Athena with schema evolution + data quality controls, owned Airflow pipeline incidents, and has a track record of measurable performance and cost optimizations (e.g., ~80%+ query latency reduction; reduced logging/NAT/Fargate spend).”

Ruchi Desai

Screened

Senior Backend Engineer specializing in cloud-native .NET microservices

Frisco, TX8y exp

“Healthcare-focused full-stack engineer who has spent their career in small startup-like teams, owning products end-to-end from business requirements to architecture, implementation, deployment, and support. They’ve built critical hospital-facing systems including patient intake, insurance eligibility, appointment search at scale, and configurable multi-tenant admin platforms using React, Node.js, .NET, AWS, MySQL, and Elasticsearch.”

“New grad focused on AI systems and agent-based development, with hands-on experience using LLMs as a coding partner and building RAG-based document processing workflows. Stands out for practical experimentation with semantic chunking, retrieval optimization, and multi-agent architectures, including redesigning a RAG workflow by adding a reasoning agent to improve response accuracy and reliability.”

“Healthcare-focused ML/AI engineer who has built production voice agents and clinical question-answering systems end-to-end, from experimentation through deployment, observability, and iteration. Particularly strong in making LLM systems reliable in real workflows via RAG, fine-tuning, guardrails, evaluation pipelines, and shared Python tooling; cites ~20% clinical QA accuracy gains and ~40% faster physician decision turnaround.”

“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

Screened

Senior Full-Stack Software Engineer specializing in Java, React, and distributed systems

Austin, TX7y exp

“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.”

“Full-stack and AI engineer who has built both user-facing products and production LLM systems, including an AI log-classification and incident-triage platform that cut manual triage by 60%+ and improved routing accuracy by 35%. Also brings cross-functional systems experience from an AI-driven digital twin project spanning HPC, Unity, AR, and large-scale simulation visualization.”

“Full-stack engineer with experience across Netgear and 3i Infotech, spanning React/TypeScript and Node.js on the frontend/backend as well as Java Spring Boot with MySQL in financial services. Stands out for owning production issues end to end, improving API and query performance, and driving architectural standardization through a centralized frontend API service layer.”