Vetted Software Engineers

“Backend/AI engineer with deep healthcare experience building production Python microservices that turn raw clinical audio into structured notes and insights. They owned systems end-to-end across architecture, launch, monitoring, and incident response, with measurable impact including 40% lower operating costs, 22% better latency, and 99.9% uptime in a regulated environment.”

“Built an end-to-end agentic population health strategy copilot for healthcare leadership, turning broad chronic disease questions into structured, evidence-backed strategy briefs. Stands out for combining healthcare domain knowledge with production-grade GenAI implementation, including LangGraph orchestration, Databricks/MLflow deployment, human review, and quality gates focused on citations, metrics, risks, and safety.”

“Backend/AI engineer who built an enterprise RAG chatbot over 40,000+ technical documents, owning the system from ingestion and retrieval design through launch, optimization, and incident prevention. Stands out for treating LLM reliability as a data, retrieval, and observability problem—delivering 90%+ benchmark accuracy, ~50% fewer hallucinations, and major gains in lookup speed and latency.”

“Full-stack engineer who architected a university-wide assessment reporting platform integrating rich-text inputs, Oracle data, SSO, and bulk PDF generation. Stands out for pragmatic decision-making in low-dependency environments, strong collaboration with non-technical stakeholders, and hands-on performance work that improved banking page load times by up to 80% at Dapi.”

“Frontend-focused engineer with hands-on ownership of complex Angular UI architecture, browser performance optimization, and accessibility remediation. Notably led ADA compliance updates on a public-facing app by rewriting base components around semantic HTML, contributing to major sales wins.”

“New grad software engineer who has already built both a full-stack location-based social app and an internal AI on-call copilot using OpenAI and LangChain. Stands out for combining end-to-end product execution with practical LLM engineering, including RAG, fallback design, citations, and production evals, plus shipping a hackathon-winning MVP in 24 hours.”

“Software developer with 5+ years of experience building a TypeScript/Angular/Ionic proof-of-delivery application for food logistics, used daily by 500+ drivers. Stands out for solving real-world field constraints like offline sync, device-based licensing, signature capture, and cross-hardware scanner/printer integration across Zebra, Honeywell, and Socket Mobile devices.”

chaitra putumbaka

Screened

Junior Data Scientist and Software Engineer specializing in ML and cloud applications

Leesburg, VA2y exp

“Backend engineer currently at Intuit Mailchimp working on transactional messaging infrastructure, with hands-on experience improving backlog-count latency through database redesign and sharding. Also has practical experience integrating Mailchimp capabilities into MCP-based AI workflows and previously worked on a financial-domain LLM chatbot using prompt design and RAG.”

Ali Arsalan

Screened

Senior Software Engineer specializing in frontend architecture and scalable e-commerce platforms

Saudi Arabia9y exp

“Founding engineer at Salla who helped rebuild a monolithic Laravel merchant dashboard into a React/TypeScript Single-SPA microfrontend platform used by thousands of online stores. He combines hands-on frontend architecture, real-time operational dashboard design, and cross-team API/platform leadership, and says he built about 70% of the merchant-facing features in the system.”

“Backend/distributed-systems engineer with 9 years of Go experience, focused on financial-services platforms where performance, reliability, and regulatory auditability are critical. He has built low-latency market data infrastructure (p99 under 8ms) and optimized compliance/reporting systems used by finance and audit teams, combining strong systems design with practical production operations.”

“Built AI-powered products across both healthcare and financial services, including a privacy-conscious assistant for elderly health check-ins and a production RAG system for high-stakes financial document analysis. Stands out for combining full-stack engineering with strong LLM reliability practices—grounding, structured outputs, fallback handling, monitoring, and human-in-the-loop controls—while delivering measurable impact on accuracy, speed, and system performance.”

“Built and owned an internal AI-powered knowledge assistant that centralized fragmented company knowledge across docs, tickets, and internal systems. They designed the backend, ingestion pipelines, vector search, RAG workflow, and APIs, then drove adoption through pilot testing and quality improvements—ultimately automating roughly 30% of support inquiries and cutting resolution time by about two hours per ticket.”

“Backend engineer who has led redesigns and migrations for a real-time logistics platform, improving scalability and resilience while managing eventual consistency tradeoffs. Demonstrates strong distributed-systems rigor (idempotency, transactions, async queues, monitoring) and builds secure, versioned FastAPI APIs with JWT/OAuth2, RBAC, and database row-level security.”

“Master’s thesis engineer who built and deployed a continuous real-time perception + state estimation + control loop under tight latency constraints, owning both software architecture and hardware integration. Strong ROS 2 fundamentals with a systems-first approach—stabilizes robotic behavior by instrumenting, logging/replaying real data, and fixing timing/synchronization issues rather than treating failures as purely algorithmic.”

“Frontend team lead who delivered an ArcMap React + TypeScript product end-to-end, emphasizing Atomic Design-based design systems, reusable component architecture, and performance optimizations (code-splitting/lazy loading, server-side fetching, webpack). Adopted React Query over Redux with centralized query-key management and coached the team on its usage while shipping quickly in a high-velocity environment.”

“Startup engineer who owned an end-to-end carpool marketplace experience at FavorIt (React Native, Firebase/Firestore, Cloud Functions, Stripe) and iterated rapidly using Mixpanel + feature flags while applying rigorous integrity controls for booking and payments. Also built a TypeScript/React + Go/Postgres workout tracker and previously worked on Spring Boot microservices for financial-institution workflow automation with event-driven patterns (outbox, idempotency, backpressure tuning).”

“Backend-leaning full-stack developer (Java/Spring Boot, Angular, MySQL) who emphasizes rapid iteration with quality via clean code, validation, and API testing. Built a web application to help women connect directly with NGOs, focusing on an intuitive dashboard and user walkthroughs to support adoption, and designed flexible REST APIs to handle frequent requirement changes.”

“Master’s capstone at Stevens: conceptualized and helped build a cross-platform assistive mobile app for visually impaired users with currency detection (ML), voice-driven AI chatbot (OpenRouter), and a guided navigation video-call feature using a shared room code. Personally implemented Firebase login/sign-in, facial-recognition login, video calling, chatbot integration, and led integration/testing across the full app.”

“Co-op engineer who owned and shipped a Python/Flask backend for automating architecture reviews and system metadata processing, including ingestion from multiple internal APIs, RBAC, testing, and deployment. Has hands-on Kubernetes + GitOps (ArgoCD) experience, built Kafka-based real-time ingestion, and supported a cloud-to-on-prem migration with phased cutover, smoke tests, and performance tuning.”

“Frontend-leaning engineer who shipped an end-to-end map-based discovery feature in a React Native mobile app, integrating location-based REST APIs with strong UX polish (loading/empty/error states) and cross-platform performance fixes. Also has experience building a Python backend with JWT auth and layered service structure, plus prior infrastructure work setting up centralized logging and monitoring.”

“Software engineering capstone contributor who helped kickstart an ambiguous, real-client project ("The Virtual Cowboy") by designing the initial relational database and CRUD foundation, then prioritized and shipped simulation/event functionality that satisfied the client. Also building a personal full-stack Book Notes web app (Node/Express/Postgres) with Google OAuth via Passport and a books API ingestion flow focused on data quality and reliability; has deployment experience with Heroku and PythonAnywhere and is ramping up on AWS.”

“Product-focused full-stack engineer with strong performance and reliability instincts: improved production page responsiveness by 15% via lazy loading and render optimization, and built a polished React+TypeScript filtering dashboard with URL-synced state for shareable views. Also designed and operated a Django REST backend with versioning, token auth, structured logging, and API tests, and has handled real production scaling issues through PostgreSQL query-plan analysis and indexing.”

“Built and productionized an AI-assisted merchant onboarding automation workflow for Kort Payments, replacing slow manual underwriting document review with structured extraction, cross-document validation, and human-in-the-loop guardrails. Emphasizes reliability via scenario-based testing, repeatability checks, and deep observability (timestamped logs), plus incremental rollout with legacy fallback to prevent regressions.”

Rizwana Shaik

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native apps and AI copilots

Dallas, TX4y exp

“Internship project building and deploying a LLaMA-based, RAG-enabled copilot inside a Professional Services Automation platform, enabling natural-language navigation, text-to-SQL reporting, and project/resource/budget insights across multiple modules. Addressed real production issues like context drift and vague queries with hybrid search, metadata enrichment, and an intent classification/rewriting layer, orchestrated via Apache Airflow—ultimately cutting PMO reporting time by 40%.”