Vetted Microservices Architecture Professionals

Thota Rajkumar

Screened

Junior Cloud & AI Infrastructure Engineer specializing in Agentic AI and AWS

San Jose, CA2y exp

“Built and deployed a production AI career-advice agent designed to combat unreliable/generic LLM guidance by grounding outputs in retrieval-first RAG over resumes/job/hiring data, with multi-step reasoning, structured memory, and evidence-only prompting to reduce hallucinations. Implemented the system with LangChain/Python and deployed on AWS as scalable microservices orchestrated via REST and asynchronous calls, iterating closely with career coaches and students.”

Tim Kwok

Screened

Senior DevOps Engineer specializing in multi-region AWS/GCP cloud infrastructure

United States8y exp

“Backend/data engineer with strong AWS production experience spanning FastAPI microservices and large-scale data pipelines. Has delivered containerized Python services on EKS with Terraform/Helm/GitHub Actions, implemented robust auth/secrets practices, and owned ETL reliability (Glue/S3/Redshift) including incident response and idempotent reruns. Demonstrated SQL tuning on 50M-record ETL workloads to remove SLA misses and improve reliability.”

Kishan Kumar Reddy Konreddy

Screened

Junior Software Engineer specializing in distributed systems and cloud platforms

2y exp

“Software engineer (Lance Soft Engineering) who built a Java/gRPC real-time request tracking system supporting ~20K simultaneous requests, using Kafka event streaming and PostgreSQL to improve transparency and cut support requests by 35%. Demonstrates strong production operations skills—resolved live latency spikes with Kafka async messaging (+48% throughput) and executed safe migrations using parallel runs, staging validation, and blue-green deployments.”

Charmi Dharmendrakumar Parmar

Screened

Mid-Level Software Engineer specializing in full-stack and cloud-native systems

Alpharetta, GA4y exp

“Backend/full-stack engineer who owned a cloud-native, AWS-based microservices backend for an HRIS product used by ~10,000 users, including onboarding and workflow orchestration. Strong production focus on event-driven architecture, idempotency/retries, observability, and developer-friendly API design (OpenAPI, versioning, JWT), plus hands-on Selenium automation for resilient checkout-style flows.”

Zoe Meng

Screened

Mid-level Full-Stack Engineer specializing in React, Node.js, GraphQL, and TypeScript

Richmond, CA6y exp

“Full-stack engineer experienced in high-growth (seed to Series B/C) SaaS environments, with strong production ownership across performance, observability, and reliability. Has shipped Next.js App Router/TypeScript features and improved real-world UX metrics (e.g., virtualization boosting scroll from 30→60 FPS and reducing mobile bounce), optimized Postgres with indexing/EXPLAIN ANALYZE, and built idempotent payment/provisioning workflows using Temporal.”

“Full-stack JavaScript engineer with hands-on ownership of a retail loyalty platform spanning Next.js on Vercel and NestJS microservices on Azure. Stands out for designing complex real-time and event-driven flows, including Bluetooth-connected React Native work, shared TypeScript contracts across frontend/backend, and production reliability patterns like webhooks, revalidation, logging, and retry Cron jobs.”

“Full-stack and AI product engineer with strong accessibility and voice-interface experience in senior living, building systems for older adults where trust and usability are critical. Has shipped React/TypeScript and .NET MAUI products, productionized Azure OpenAI features, built RAG-based research tools, and improved both product outcomes and technical performance with measurable impact.”

“Full-stack/backend-leaning engineer who owned Shoptaki's Smart ID authentication platform end to end, building a centralized identity system that secured four services and removed duplicated auth logic. Also introduced and operationalized Claude Code in a TypeScript microservices environment, using prompt refinement, CI, and code review guardrails to improve development speed without compromising architecture or security.”

“Built an AI GTM Copilot that consolidated 5+ sales tools into a single browser-based workflow for sales teams, combining LLMs, data enrichment, and outreach automation. Brings a rare blend of ML, backend, and front-end experience, with concrete wins in performance optimization, workflow design, and measurable UX improvements.”