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Vetted Rate Limiting Professionals
Pre-screened and vetted.
Pratham Thukral
Mid-level Software Engineer specializing in distributed systems on AWS
“Data/infra engineer with AWS DynamoDB experience who has shipped reliability-critical systems (Global Tables replica repair protocol) and customer-facing service rollouts using canary/percentage-based deployments, strong observability, and rollback strategies. Also built end-to-end Airflow pipelines producing weekly automated reports over ~10TB of advertising segment data, with rigorous week-over-week data quality validation.”
Senior Software Engineer specializing in cloud-native SaaS and event-driven microservices
Staff Software Engineer specializing in FinTech and payments platforms
Mid-level Full-Stack Python Developer specializing in FinTech and ML-driven automation
Senior Software Engineer specializing in distributed systems and streaming platforms
Senior Full-Stack Software Engineer specializing in React and Node/Python in regulated systems
Senior Agentic AI & Backend Engineer specializing in LLM platforms and multi-agent systems
Intern AI/ML Engineer specializing in LLM agents, RAG, and low-latency systems
Senior Full-Stack Engineer specializing in payments and commerce platforms
Senior Software Engineer specializing in scalable backend microservices and cloud platforms
Senior Full-Stack Software Engineer specializing in cloud-native microservices
Staff Full-Stack & AI Engineer specializing in LLM platforms and scalable cloud systems
Senior Software Engineer specializing in Python, cloud microservices, and conversational AI
Akhil Maram
Senior Data Engineer specializing in real-time data platforms and lakehouse architectures
“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”
Shiva Arcot
Director of Security & Data Platform Engineering specializing in AI-driven cloud security
“Player-coach engineering leader focused on scalable data security scanning and risk detection in hybrid cloud, owning architecture and core implementation of an incremental/parallel DSPM scanning engine. Shipped production improvements including 60% lower scan latency and 30% fewer false positives, with strong emphasis on correctness under concurrency, multi-tenant observability (SLOs/burn-rate alerts), and disciplined rollout practices (feature flags, shadow scans, canaries).”
Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms
Senior Software Engineer specializing in AI agents and cloud platforms
Mid-level Software Engineer specializing in backend, ML platforms, and FinTech
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Staff Software Engineer specializing in Healthcare SaaS and real-time systems
Kanaad Deshpande
Intern Software Engineer specializing in distributed systems and cloud infrastructure
“Built and operated a production warehouse metadata collection platform at Sigma Computing, integrating Go/gRPC services with a TypeScript backend and MySQL, with strong emphasis on idempotency, retries, bounded-concurrency job queues, and Datadog-based observability. Also created Kurral (kurral.com), an AI agent runtime security and observability/governance SDK/proxy concept, iterating via pilot-customer feedback and market research; targeting founding engineer roles with $180–200k base and ~2–5% equity.”
Alfred Dwan
Intern Software Engineer specializing in AI, cloud-native systems, and MLOps
“Backend/full-stack engineer who has owned a production recruiting platform end-to-end (TypeScript/Node microservices for scraping/cleaning/serving job data, RabbitMQ for spike handling, MongoDB + Elasticsearch, AWS containers) with pragmatic CI, logging/alerts, and Docker Compose E2E tests. Also operated high-traffic event pipelines during a Binance internship using Kafka + Redis idempotency, with strong observability and failure-mode/rollback/degradation practices, and has experience designing developer-friendly REST APIs and resilient browser automation for E2E flows.”
Dexin Huang
Junior AI Engineer specializing in LLM systems, RAG, and full-stack automation
“Built and deployed an AI receptionist product for field-service businesses (HVAC/electrician), including real-time Jobber scheduling integrations and Twilio-based calling. Combines hands-on customer/operator shadowing with strong production engineering (queueing to handle API limits, rigorous testing/mocking, mirrored prod environment) and cross-layer troubleshooting, driving user adoption through review/override workflows.”