Vetted Asynchronous Processing Professionals

“Full-stack engineer with healthcare and fintech experience who has owned production features end-to-end—most notably an AI assistant clinical risk summary tool on AWS (FastAPI/Lambda + React/TypeScript) that cut analyst review time ~40%. Strong in performance tuning for large datasets (S3/Athena), production ops/observability (CloudWatch, CI/CD, env separation), and building reliable ETL/integrations with idempotency and retries.”

“Full-stack product engineer with hands-on experience shipping React/TypeScript applications on AWS serverless infrastructure with Postgres. Stands out for combining measurable performance optimization (~30% faster APIs), UX improvements that lifted activation by 25%, and pragmatic platform thinking through reusable hooks and safe multi-tenant dashboard customization.”

“Backend engineer with hands-on ownership of a production POS platform, including architecture, CI/CD, Kubernetes deployment, and live incident handling. Also built a RAG-based document Q&A system using OpenAI/Anthropic with hybrid retrieval, evaluation metrics, and fallback logic, showing both traditional backend depth and practical applied AI experience.”

Surya Padmini Konjula

Screened

Mid-level Software Engineer specializing in backend, cloud, and AI for FinTech

San Jose, CA6y exp

“Senior full-stack engineer focused on AI-powered workflow automation and customer support products, with hands-on ownership from React/TypeScript UI through FastAPI microservices, retrieval pipelines, and Kubernetes deployment on GCP. Particularly strong in turning ambiguous zero-to-one AI initiatives into production systems that reduce manual operations, improve turnaround time, and remain reliable through strong orchestration and monitoring practices.”

Atharva Hankare

Screened

Junior Software Engineer specializing in backend, cloud, and FinTech systems

Westford, MA2y exp

“Built both a full-stack job platform used by 600+ university students/employers and production AI systems ranging from an insurance support chatbot for a 1M+ user platform to an autonomous SRE agent at Ribbon. Stands out for combining strong software engineering fundamentals with careful AI safety, evaluation, and human-in-the-loop design in real production environments.”

“Founding engineer who built a multi-tenant AWS backend from scratch focused on ultra-fast, configuration-driven client onboarding and low operational cost. Automated tenant provisioning/deployments with Terraform + GitHub Actions (new client infra in ~13 minutes) and scaled to 62 production clients handling ~75k requests/day without a major rewrite. Hands-on with migrations (DynamoDB->MongoDB), reliability/observability, and performance tuning (indexes, Redis, queueing, connection management).”

“Backend engineer with airline operations domain experience who modernized flight-ops systems from batch updates to real-time streaming on AWS (Kafka + Spring Boot microservices), improving latency and stability through metric-driven tuning and idempotency. Also shipped a production LLM decision-support component using RAG over operational logs and internal procedures, with strong guardrails and an evaluation/regression loop to reduce hallucinations and enforce grounding.”

Sai Prathyusha Kanisetti

Screened

Mid-level Software Engineer specializing in distributed systems and healthcare IT

Fairfax, VA3y exp

“Full-stack engineer with experience in both healthcare and transportation, owning products from requirements through production support. Built a secure patient-records pipeline at CORAnet using Spring Boot, AWS S3, Docker, and Terraform, and shipped a real-time operational metrics dashboard at BNSF with Java, React/TypeScript, and Kafka. Stands out for combining backend architecture depth, infrastructure ownership, and pragmatic UI simplification.”

TEJASWI GUDIMETLA

Screened

Mid-level Software Engineer specializing in backend systems, microservices, and AI pipelines

North Carolina, USA4y exp

“AI/LLM engineer focused on building reliable, scalable multi-agent and RAG-based pipelines across microservices. Stands out for combining practical experimentation with strong engineering discipline around schema validation, retries, observability, and structured API contracts to make LLM systems production-ready.”

“Built a production AI stylist agent for retail store associates that pulls customer loyalty, address, and purchase-history data to generate in-store product recommendations. Demonstrates hands-on experience across agent orchestration, MCP-based tool integration, Vertex AI/GCP deployment, observability, resilience patterns, and pragmatic production tradeoffs like using PostgreSQL with pgvector instead of a standalone vector database.”

“Fullstack engineer with strong backend depth who has owned complex digital banking modernization work end-to-end, spanning React UI workflows, Spring Boot microservices, API design, and event-driven integrations. Stands out for balancing technical architecture with user clarity, especially in ambiguous environments where stakeholder feedback reshaped workflows after launch.”

“Front-end engineer focused on sophisticated enterprise analytics dashboards for business and operations users. They combine strong React/TypeScript architecture with deep browser-performance knowledge and practical UX improvements for demanding expert users, especially in data-heavy applications with large tables, filtering, and role-based workflows.”

Baliram Maurya

Screened

Senior Full-Stack Engineer specializing in Java microservices and Healthcare IT

USA11y exp

“Backend engineer with hands-on experience modernizing healthcare platforms in a startup-like team of 8-12 across engineering, QA, DevOps, and product. They personally drove scalable Java/Spring Boot microservices for healthcare workflows, including FHIR integrations, real-time data pipelines, and resilient integrations with legacy and third-party systems.”