Vetted Event-Driven Architecture Professionals

“AWS-focused backend/data engineer with hands-on production experience building serverless APIs (Lambda/API Gateway) secured with Cognito/JWT, deploying via Terraform + CI/CD, and managing secrets with Secrets Manager/Parameter Store. Also built AWS Glue ETL from S3 to RDS with schema evolution and data-quality controls, modernized a monolith into microservices using parallel testing, and delivered major SQL performance gains (minutes to seconds) while owning incident response for batch pipelines.”

“Backend engineer focused on real-time, event-driven distributed systems (Node.js/TypeScript) with strict latency and reliability requirements. Deep hands-on experience debugging concurrency issues and designing resilient workflows (idempotency, circuit breakers, compensating actions) with strong observability; familiar with ROS/ROS2 concepts and confident ramping into robotics integrations.”

“Backend engineer with deep Kafka/FastAPI microservices experience who redesigned a notification pipeline to cut end-to-end latency from ~5s to ~3s (including custom partition assignment and consumer tuning). Led a high-stakes ClickUp-to-Oracle migration of 1M+ records using idempotent ETL, reconciliation, and shadow deployment to achieve >99% integrity with zero downtime, and has hands-on production security implementation with Django/DRF (JWT + RBAC).”

“Backend/data engineer experienced building enterprise community-platform services for high-traffic global clients, using Python (FastAPI/Django) on Docker/Kubernetes with PostgreSQL/Redis. Has delivered AWS EKS + Terraform/CI-CD deployments with strong security practices (Secrets Manager/SSM, IAM/IRSA) and has hands-on ETL (AWS Glue), legacy modernization, and incident ownership with measurable performance gains (~30% faster queries).”

“Built and productionized an LLM-enhanced version of the WeDAA platform to auto-generate microservice architecture diagrams and support code generation from user prompts, including a practical solution for non-overlapping canvas object placement via coordinate templates. Experienced in diagnosing agentic workflow failures using AWS Strands agents with feature-flagged debug logging, and frequently supports sales through tailored demos and POCs to drive adoption.”

“Backend Java developer who built an end-to-end upcoming payments feature: Spring Boot/Hibernate microservices with MySQL query/index optimization and Kafka event publishing, plus a web UI timeline component enabling users to view, skip, and edit scheduled payments with clear status indicators.”

“Full-stack engineer at an early-stage EdTech startup building an AI-tutoring product; owns most of a Django REST backend, CI/CD, and key customer-facing features like FERPA-compliant auth, subscription payments, and real-time LaTeX input/rendering. Also built a /rPlace-style real-time multiplayer canvas (PolyPlace) using microservices, WebSockets, and event sourcing, with performance-focused client rendering (zoom/pan/viewport-based updates) and stress testing.”

“Full-stack/product-leaning engineer in logistics and high-traffic portals who ships production AI features: built an AI-assisted shipment status Q&A system using Pinecone + GPT-4 and a high-volume Python ingestion pipeline (500K+ records/day), delivering 35% fewer support tickets and cutting resolution time from 11 to 4 minutes. Also led a legacy Angular-to-React/TypeScript rebuild that boosted Lighthouse performance from 60 to 90, and has hands-on AWS EKS operations experience including resolving a 3x traffic scaling incident.”

“Software engineer with enterprise CPQ/CRM/ERP integration experience (Argano) who owned an end-to-end pricing preview capability deployed on AWS Kubernetes with Jenkins CI/CD and full observability (Prometheus/Grafana). Also built an AI-native research agent using LangChain + Chroma to filter academic papers, reporting ~15 hours/week saved for a professor.”

Sneha Sridhar

Screened

Mid-level Software Engineer specializing in cloud-native backend and distributed systems

Remote, USA4y exp

“Backend/full-stack engineer with experience building customer-facing contact-center automation (agent assignment) and internal editorial/data operations APIs for life-sciences ontology management. Strong in microservices and event-driven systems (Spring Boot + Kafka), third-party integrations (Genesys/Five9), and pragmatic iteration via MVP scoping, tight stakeholder demos, and observability-focused reliability.”

Gautam Agrawal

Screened

Mid-Level Software Engineer specializing in backend systems, cloud, and applied LLM/NLP

IN, USA4y exp

“Applied LLMs to classify long nonprofit mission statements into 8 segments without labeled data, using an ensemble of clustering/embedding methods plus zero-shot RoBERTa/BART and a Tree-of-Thought prompting pipeline with LLM-as-judge evaluation (Gemma). Also built LangChain/LlamaIndex agentic RAG workflows including a text-to-SQL data analysis assistant grounded on DB schema with retries and performance optimizations on an HPC cluster.”

Jaxon Repp

Screened

Executive Technology Leader specializing in distributed systems and multi-cloud infrastructure

Denver, Colorado, United States9y exp

“Early-stage builder who blends deep technical product work with go-to-market execution: created developer-focused platform tooling (Rust/Node/React) and at Harper moved from customer success into sales/partnerships, leading an Akamai partnership that ultimately helped close Walmart. Currently building a distributed application platform in Rust and iterating on macro-based abstractions to make Rust feel as approachable as Node.js; has not yet closed a seed round and is seeking a trusted operator counterpart.”

Monish Reddy Bonthu

Screened

Mid-Level Full-Stack Engineer specializing in real-time systems and FinTech

FL, USA5y exp

“Backend engineer with hands-on experience modernizing a real-time logistics/tracking platform from a tightly coupled polling architecture to a service-oriented/microservices design using Node.js and WebSockets. Emphasizes contract-first FastAPI development, defense-in-depth security (JWT/OAuth, RLS/Supabase), and safe incremental migrations with feature flags and strong observability, delivering sub-second updates and improved performance under peak load.”

“Backend/AI engineer who built production-grade intelligence systems in high-stakes domains including tax/legal document analysis and brain tumor MRI workflows. Stands out for combining LLM/RAG product delivery with strong engineering rigor around retrieval evaluation, grounding, validation, observability, and safe fallbacks—turning impressive demos into systems users could actually trust.”

“Production-focused ML/AI engineer with hands-on ownership across classical ML and GenAI systems, from CV/NLP services to enterprise RAG. Stands out for combining research-to-production execution with measurable business impact: 40% processing-efficiency gains, 35% fewer support tickets, 5x latency improvement, and 3x throughput gains while maintaining safety and quality.”

“Frontend-leaning full-stack engineer who has rebuilt a high-volume order management system in Next.js/TypeScript for 6000+ active orders and also owned end-to-end product/data architecture in Firebase/Firestore. Stands out for strong performance instincts, type-safe frontend architecture, and pragmatic 0→1 execution across UI, APIs, and data pipelines.”

Venkatasai Vorsu

Screened

Mid-level Full-Stack Software Engineer specializing in Java microservices and cloud platforms

Houston, TX5y exp

“Full-stack engineer with strong React/TypeScript and Spring Boot experience in banking and financial systems, focused on real-time transaction monitoring and payment tracking products. Stands out for scaling high-volume dashboards, solving rendering bottlenecks in live data UIs, and owning features end-to-end from frontend through APIs, Oracle data layer, cloud deployment, and production monitoring.”

Yatin Rajkumar Kalra

Screened

Senior Full-Stack Engineer specializing in cloud-native AI and Healthcare IT

Remote6y exp

“Built AIO, a 7-agent system that automatically fixes failed GitLab CI/CD pipelines in under 60 seconds using Redis queues, typed TypeScript contracts, and strong observability. Heavy AI user who still applies rigorous human review for logic, security, scalability, and code quality, and has made deliberate architectural choices rather than relying blindly on frameworks.”

Abe Schor

Screened

Senior Full-Stack Engineer specializing in web platforms and scalable backend systems

Atlanta, GA8y exp

“Backend-focused engineer with deep experience in logistics platforms, including a truck location-tracking system processing roughly 500K requests per day and a dispatcher task platform adopted by a major client. Also has hands-on applied AI experience using OpenAI to parse delivery PDFs into structured trip data, improving operational workflows through automation.”

“Full-stack engineer with hands-on ownership of a production cart-audit workflow redesign, spanning schema redesign, Rails APIs, and frontend navigation for non-technical operations users. Particularly strong in modernizing legacy systems safely with rollback paths and clearer data relationships, while also building AI-powered side projects using Flask, LangChain, and GPT for GitHub code analysis.”

Mohamed Risaldar Uppil Thodi

Screened

Senior Full-Stack Engineer specializing in real-time systems and backend platforms

San Francisco Bay Area, CA10y exp

“Fullstack engineer with strong experience building real-time, customer-facing products across e-commerce personalization and enterprise monitoring dashboards. Stands out for combining hands-on React/Node/GraphQL development with cloud-edge/WebRTC/WebSocket architecture, while working directly with customers to shape MVPs that achieved strong adoption.”

“Full-stack SaaS engineer with strong experience building multi-tenant analytics platforms in lean startup environments. He combines React/Node.js and Python/Django backend depth with hands-on DevOps improvements, including CI/CD and Docker adoption that cut deployment effort by nearly 50% while improving platform performance by around 30%.”

“Full-stack engineer with experience spanning enterprise document platforms and AI-powered clinical education products. Built secure TypeScript/Next.js features end to end, designed multi-model LLM workflows with validation and monitoring in production, and modernized a legacy PHP monolith through blue-green deployment and incremental migration without outages.”

“Backend engineer specializing in event-driven/serverless systems and Python/FastAPI APIs. Built a scalable PDF-to-structured-data pipeline on AWS (S3, Lambda, Step Functions, Textract, DynamoDB, SNS) with strong observability (p50/p90/p99) and reliability patterns (idempotency, retries/DLQs), and has led zero-downtime migrations using feature flags, dual writes, and incremental rollouts.”