Pre-screened and vetted.
Mid-level Frontend Software Engineer specializing in internal web applications
“Front-end engineer focused on sophisticated internal operational tools, including a campaign planning interface for advertising and operations teams with connected workflows and data-heavy tables. Stands out for building reusable component patterns, improving table usability and performance, and using TypeScript carefully to keep UIs stable as APIs evolve.”
Mid-level Software Engineer specializing in cloud infrastructure and ETL pipelines
“Works on clinical trial applications and data pipelines, including AWS Lambda-based file transfer workflows for clinical study metadata. Has hands-on experience hardening production systems by adding observability, SSH/auth exception handling (Paramiko), retries/timeouts, and validating changes across SIT/UAT/prod. Also supports adoption through tailored technical demos for new teams and vendor partners integrating into their workflows.”
Mid-level Full-Stack Software Engineer specializing in MERN, AWS, and secure authentication
“Application-layer full-stack engineer who has shipped enterprise-facing integrations and developer tooling, including an end-to-end Slack integration for automated ticket creation and a real-time feature-flag dashboard (React/TS + GraphQL/Apollo + NestJS) with audit trails. Has hands-on AWS container operations experience (ECS Fargate/ALB/RDS) and has improved product performance (35% faster dashboards) while building auth and RBAC for 500+ users.”
Mid-level Front End Engineer specializing in FinTech UI architecture
“Frontend engineer with 5+ years building enterprise browser-based applications, especially Salesforce Experience Cloud portals in financial services. Stands out for combining reusable component architecture, browser-level performance debugging, and UX improvements for demanding advisor users, including reported 50% page-load gains and reduced support issues.”
Mid-level Full-Stack Product Engineer specializing in AI agents and scalable platforms
“Built an AI-powered stylist / outfit recommendation product end to end, spanning React/TypeScript frontend, Postgres data modeling, serverless backend flows, and LLM-driven recommendation/explanation systems. Stands out for combining hands-on full-stack execution with strong product judgment around ambiguity, UX polish, reusable primitives, and AI trust/explainability.”
Senior Unity Engineer specializing in game development and simulation systems
“Unity/C# gameplay engineer who led development on Fantasti League 2.0, a real-time virtual sports platform, building a data-driven pipeline that connected backend results to 3D visualization and overlays. Brings hands-on experience in mobile optimization, reusable input systems, multiplayer with Photon, and engineering process improvements like CI/CD, testing, and QA analytics.”
Mid-Level Backend Software Engineer specializing in Java microservices and cloud platforms
“Backend/platform engineer with payments and insurance domain experience (Cognizant), owning high-volume production systems end-to-end. Shipped a Spring Boot payment tokenization service with strong observability and phased migration that cut transaction latency ~30% and improved payment efficiency ~25%. Also productionized an ML-driven financial health/risk analytics pipeline with near real-time dashboards across 70+ schools, emphasizing interpretability, data quality, and drift monitoring.”
Intern Test Engineer specializing in embedded systems, robotics, and data automation
“Robotics software contributor on an SJSU Robotics Mars rover hub, where they built a C++ camera gimbal driver using the Libhal open-source library and implemented/tuned PI/PID control to achieve stable servo behavior.”
Mid-level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS
“Backend/data engineer with production experience across event-driven Python ingestion services on AWS (EventBridge/SQS/MongoDB), serverless APIs (Lambda/API Gateway), and analytics ETL (Glue → Redshift). Has modernized legacy reporting into Node.js/React systems and demonstrated measurable SQL performance wins (minutes to seconds) plus strong incident ownership with validation, DLQs, and alerting.”
Mid-level Data Scientist & AI Engineer specializing in NLP, LLMs, and predictive analytics
“AI Engineer with production experience building an LLM-powered conversational scheduling assistant (rules-based + OpenAI GPT agents) and improving responsiveness by ~40% through architecture optimization. Strong in orchestration (Airflow), containerized deployments, and data quality (Great Expectations/PySpark), with prior work automating population health reporting pipelines (Azure Data Factory → Snowflake) and delivering insights via Tableau to non-technical stakeholders.”
Junior Software Engineer specializing in cloud microservices and full-stack development
“Robotics software engineer with hands-on ROS (ROS 1) experience building sensor-processing and state-based control pipelines in Python/C++. Demonstrated measurable reliability and performance gains in autonomous navigation—cut runtime failures by 30%, reduced replanning by 35%, and improved debugging efficiency by 40%—using timing-aware state machines, message/interface discipline, and simulation/testing with Gazebo, rosbag, Docker, and CI/CD.”
Junior Full-Stack Software Engineer specializing in cloud-native web and VR systems
“Software developer with EdPlus experience building pragmatic internal tools (Next.js/TypeScript) and cloud automations (AWS) that feed Google Sheets and Looker Studio dashboards for operational visibility across 30+ student workers. Also worked on an IEEE Xplore-published missing-person tracker using a SPARQL graph database on Azure with a TypeScript/React frontend, and has experience navigating legacy access constraints (OpenVPN) while enabling remote VR previews via ngrok.”
Mid-Level Full-Stack Software Developer specializing in React, TypeScript, and Azure
“Frontend-focused engineer who has delivered an end-to-end React SPA with a .NET 9 backend on Azure, deploying via Azure Container Apps and leveraging zero-downtime deployment slots. Built complex TypeScript UI flows (10-page form with global/partial save and custom validation) using Redux + MUI integrated from Figma, and emphasizes quality with RTL/Vitest plus Selenium automation (~95% coverage) and analytics-driven iteration (Heap, Alida, GTM).”
Mid-level Full-Stack Software Engineer specializing in React, Node.js, and AWS
“Frontend engineer who led end-to-end architecture and implementation at Hostclass (startup) using Next.js/TypeScript/Twilio, including a distinctive live-session page with a 3-way screen-sharing capability. Experienced improving messy production codebases by consolidating duplicated workflow logic into reusable hooks and shipping high-risk real-time features with targeted QA and incremental rollouts under tight startup constraints.”
Senior Frontend Engineer specializing in React, Next.js, and React Native
“Frontend lead on an SME CRM for a bank, building a scalable multi-country/multi-product React/Next.js platform with a config-driven onboarding workflow and multi-role permissions. Emphasizes quality and maintainability through CI gates, a full testing pyramid, and disciplined server-state caching with RTK Query, plus feature-flagged rollouts and data-driven iteration from pilot user feedback.”
Junior Machine Learning Engineer specializing in NLP, data pipelines, and LLM workflows
“Built and shipped a production LLM-powered decision system that replaced a slow, inconsistent manual review process by turning messy text into structured, auditable outputs behind an API. Demonstrates strong end-to-end ownership of reliability and operations (schema validation, retries/fallbacks, latency/cost controls, monitoring for drift) and a disciplined approach to evaluation and regression testing. Experienced collaborating with non-technical reviewers to define success criteria and deliver interpretable outputs that get adopted.”
Intern AI/Software Engineer specializing in RAG, LLM agents, and cloud-deployed search
“Built and deployed a production AI document Q&A (RAG) platform that lets non-technical users query hundreds of PDFs/Word files, cutting search time from hours to seconds. Experienced with scaling retrieval pipelines (chunking, embeddings, vector search, batching/caching) and orchestrating reliable workflows using AWS Step Functions/Airflow with robust retries, monitoring, and fallbacks.”
Mid-Level Software Engineer specializing in backend APIs, cloud, and automation
“Backend engineer at Esurgi focused on real-time clinical workflow systems, improving API reliability, performance, and security. Has hands-on experience with FastAPI/Pydantic, JWT/RBAC and row-level data isolation, plus Kafka-based real-time processing—including fixing duplicate-processing edge cases via idempotency and offset management and rolling out refactors safely with feature flags and staged deployments.”
Mid-level Customer Success Engineer specializing in AI analytics and cloud deployments
“Customer Success Engineer focused on secure customer integrations for web/AI analytics solutions, frequently aligning retail/business teams with security requirements. Has hands-on experience troubleshooting and hardening API-based integrations in AWS (IAM least privilege, VPC/private subnet patterns, CloudWatch/CloudTrail) and delivering repeatable containerized deployments via Bitbucket CI/CD.”
Mid-level QA Engineer specializing in API and automation testing
“QA automation engineer focused on backend/API quality who owned an end-to-end API regression suite and integrated Cypress/JS automation into GitLab CI with smoke-vs-nightly regression gating. Caught a critical auth security regression (expired tokens returning 200 instead of 401) before production and is strong in stabilizing flaky tests using network interception and actionable CI reporting.”
Mid-Level Cloud-Native Software Engineer specializing in microservices, DevOps, and AI integration
“Backend-focused Python engineer who owned high-traffic internal services end-to-end (FastAPI/Django) including REST/GraphQL APIs, PostgreSQL optimization, async task processing via SQS, and full CI/CD. Strong Kubernetes-on-EKS and GitOps (ArgoCD + Helm) experience, plus Kafka real-time streaming work and phased cloud-to-on-prem migration support.”
Junior Full-Stack AI Developer specializing in LLMs and RAG applications
“Product-minded software engineer who owned a Shopify POS app end-to-end at Swym, shipping an MVP and then scaling iteration speed with E2E automation and CI/CD—resulting in a Shopify Badge, Top-5 App Store ranking, and +40% new user acquisition. Also built an ESG insights tool using React/TypeScript + FastAPI with Snowflake and a RAG pipeline, plus microservices patterns (async jobs, queues, DLQs, autoscaling) and internal Metabase/SQL analytics dashboards.”
Senior AI/ML Engineer specializing in LLMs, RAG, and VR/XR multimodal systems
“PhD researcher (University of Utah) who built a production RAG-powered Virtual Reality Research Assistant to answer lab research questions with concrete citations. Implemented an end-to-end LangChain pipeline using PyPDFLoader, chunking strategies, OpenAI embeddings, and ChromaDB, with emphasis on grounding to reduce hallucinations and ensure research-grade accuracy. Collaborated closely with a non-technical PhD advisor to scope requirements, manage cost constraints, and demo iterative progress.”