Pre-screened and vetted.
Mid-level Software Developer specializing in mobile apps and data/AI systems
“Fintech-focused mobile engineer who built and shipped a mobile wallet to both iOS and Android app stores, implementing biometric login and AI-driven KYC (face + ID verification). Demonstrates strong customer feedback loops and production problem-solving, including resolving iOS version-specific third-party AI integration issues and improving payment UX by moving from synchronous to asynchronous processing.”
Junior Full-Stack Java Developer specializing in FinTech microservices
“Full-stack engineer with production experience building a real-time order tracking system using React + Firebase/Firestore, emphasizing audit-friendly data modeling, state-machine-based status transitions, and strong post-launch ownership (performance, security rules, reliability). Demonstrated measurable frontend performance gains by isolating real-time updates to dynamic components and applying memoization, plus backend reliability patterns (idempotency, retries) and SQL query/index optimization validated with EXPLAIN ANALYZE.”
Mid Full-Stack Engineer specializing in web platforms, geospatial apps, and AI
“Software developer who actively integrates AI coding tools like ClaudeCode, Codex, and ChatGPT into day-to-day development for brainstorming, planning, and reducing boilerplate work. They show thoughtful awareness of agent limitations such as hallucinations and use markdown-based project context files to improve output quality.”
Mid-level Full-Stack MERN Engineer specializing in AI-integrated web platforms
“Early-stage startup engineer who operated with little structure, worked directly with clients, and helped turn Deloitte and Informatica into permanent clients. More recently, they built an AI-enabled HVAC project bidding and estimation platform using FastAPI, LangChain, React, TypeScript, and PostgreSQL, including prompt tuning and UAT-driven improvements.”
Mid-level Full-Stack & AI Engineer specializing in LLM applications
“Full-stack engineer who has shipped and operated generative-AI chat/QA features end-to-end, including a RAG-based pipeline with guardrails and cost/latency monitoring in production. Experienced with React/TypeScript + Node/Postgres architectures, Dockerized deployments to AWS (EC2) via GitHub Actions CI/CD, and building reliable ingestion/ETL systems with idempotency, backfills, and reconciliation.”
Junior Full-Stack/AI Engineer specializing in web platforms and LLM applications
“Backend engineer from FoodSupply.ai who built and evolved a scalable restaurant/supplier product and order management platform using Node.js and REST APIs. Implemented a hybrid MySQL+MongoDB data architecture, optimized performance with Redis/Prisma, and led a phased migration with feature flags and a temporary sync layer to maintain data consistency. Strong focus on production security (OAuth2, RBAC, row-level security, AWS IAM) and reliability practices (testing with Pytest, Docker/AWS pipelines).”
Mid-level Full-Stack Engineer specializing in Healthcare IT and SaaS
“Backend/data engineer with healthcare/medical-device experience who scaled a HIPAA-constrained local data platform to 50k users and 1B+ records, boosting processing from <500 to ~50k datapoints/sec using sharding, indexing, and SQL over Parquet (DuckDB). Strong security and reliability focus (JWT/RLS, least privilege, heavy unit/E2E testing) and a TypeScript specialist who uses type design to eliminate edge-case failures.”
Mid-level Systems Software Engineer specializing in distributed cloud infrastructure
“Backend-leaning full-stack engineer in fintech/payments who shipped an end-to-end Stripe payments + webhook system for a financial microservices platform, emphasizing ledger accuracy via idempotency, transactional writes, retries, and DLQs. Also delivered a real-time React/TypeScript payment status dashboard informed by user interviews, and improved production performance by 35% p95 latency through PostgreSQL tuning and Redis caching on AWS.”
Mid-level Software Engineer specializing in modern frontend web applications
“Frontend-focused product engineer with strong depth in observability and real-time systems, spanning Kloudfuse and PipeIQ. They’ve built high-performance latency heatmaps and data-dense operational dashboards for large-scale telemetry, while also shaping WebSocket streaming contracts, integration architecture, and even AWS infrastructure decisions beyond a traditional frontend scope.”
Senior Go Engineer specializing in distributed systems for FinTech and Healthcare
“Frontend-focused engineer with experience in healthcare and fintech dashboards, especially around real-time data delivery and performance. In a growth-stage startup environment, improved dashboard architecture by replacing polling with React Query and GraphQL, leading to more responsive and reliable user experiences and fewer stale-data complaints.”
Senior Go Engineer specializing in platform infrastructure and observability
“Full-stack/backend-heavy engineer with strong healthcare domain expertise, focused on modernizing regulated platforms for payroll, billing, and caregiver operations. Notably led a legacy Express.js billing platform migration to modular NestJS services that enabled same-day deployments and unblocked enterprise customer onboarding, while bringing deep experience in compliance, auditability, and production reliability.”
“Backend-focused engineer with deep healthcare interoperability experience, building Go-based distributed systems for live clinical data exchange across hospital systems. Stands out for combining startup-style ownership with HIPAA/compliance rigor, including creating a reusable Go microservice template and improving reliability across Kafka, PostgreSQL, and Kubernetes-based production platforms.”
Senior Full-Stack AI/ML Engineer specializing in MLOps and GenAI
“Senior backend/data engineer who has built and maintained HIPAA-compliant, real-time clinical FastAPI services on AWS, orchestrating ML/LLM and vector DB calls with strong reliability patterns (auth, timeouts/retries, graceful degradation, idempotency). Also delivered AWS IaC/CI-CD (Terraform/Helm/GitHub Actions) across EKS/Lambda/SageMaker and built Glue/Spark ETL with schema evolution and data quality controls, plus demonstrated large SQL performance wins (15 min to <9 sec) and hands-on incident ownership.”
Intern Full-Stack Engineer specializing in AI-powered products
“Software engineer (internship experience) who built and owned an AWS serverless multi-user “challenge” feature end-to-end (UI + REST APIs + DynamoDB + deployment), delivering measurable gains in latency (-30%), debugging time (-50%), and join drop-offs (~-30%). Also productionized a multilingual RAG-based QA system with vector retrieval and guardrails, improving accuracy to ~85% and driving ~20% DAU growth.”
“Software engineer with experience spanning healthcare middleware (patient records + insurance integration) and an AI fantasy football product built with React/TypeScript, Firebase, API gateways, and pandas-based data pipelines. Has hands-on microservices scaling experience (latency mitigation, async migration, state-based redesign) and built an internal feature-toggle dashboard that improved demo efficiency and sales outcomes.”
Mid-level DevOps Engineer specializing in AWS, Azure, Kubernetes, and GenAI infrastructure
“Database/platform engineer with stronger hands-on experience in AWS and Azure than GCP, but able to speak credibly about cloud database architecture, automation, and reliability engineering. They led an on-prem MySQL to RDS/DynamoDB migration, built Terraform/Python-based zero-touch database operations, and described a performance incident where latency dropped from 2s to under 300ms while supporting 2x traffic.”
Junior Software Engineer specializing in backend, cloud, and AI-powered web applications
“Built and shipped Site Audit AI, a production multi-turn Claude-based agent that autonomously crawls websites, calls tools, and generates scored audit reports—reducing a manual 2-3 hour developer workflow to under 60 seconds. Also brings practical experience integrating inconsistent payroll/HR data across platforms like QuickBooks and Keka, with a strong focus on validation, fault tolerance, and resumable workflows.”
Junior Software Engineer specializing in backend, cloud, and AI systems
“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.”
Senior Go Engineer specializing in low-latency FinTech platforms
“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.”
Junior Machine Learning Engineer specializing in Document AI and LLM-powered workflows
“Built and owned a customer-facing Document Intelligence Service for legal contract analytics at Noasis Digital, delivering extraction/summarization with careful accuracy controls (confidence thresholds, versioned deployments, production logging). Also developed a React/TypeScript document review app and internal QA dashboard, and has hands-on microservices experience with async messaging (RabbitMQ), timeout tuning, and centralized structured logging for reliability at scale.”
Junior Full-Stack Java Developer specializing in FinTech payments
“Full-stack engineer with hands-on experience building end-to-end applications using Java/Spring Boot and React, including Dockerized deployment and RabbitMQ-based messaging. Worked on a high-volume payment processing system at Alacriti, focusing on performance (query optimization, caching) and reliability with monitoring via AWS CloudWatch.”
Mid-level Full-Stack Developer specializing in AI-driven cloud-native applications
“Full-stack engineer with healthcare/ops analytics experience at PatientXpress, shipping a real-time operational dashboard end-to-end (React/TypeScript + Node/Postgres on AWS) that cut manual reporting by 50%. Strong in performance and reliability work—pagination/caching, Postgres indexing/partitioning, Terraform-based AWS provisioning, CI/CD with GitHub Actions, and production incident response with improved monitoring (CloudWatch/Prometheus).”
Junior Software Engineer specializing in full-stack web and cloud development
“Full-stack engineer who has owned both institutional and personal products end-to-end, including Rutgers' myCommunity platform used by 70,000+ students. Particularly strong in production systems, data synchronization, authentication, and third-party API integrations, with a pragmatic approach to shipping, observability, and UI modernization.”
Junior Software Engineer specializing in backend systems and AI applications
“Engineer who independently shipped pagination for a global financing platform handling large financial datasets, including accounts with roughly 25,000 securities. Stands out for using AI pragmatically—accelerating boilerplate while rigorously reviewing data contracts, ordering assumptions, access control, and production reliability in a financial domain.”