Pre-screened and vetted.
Mid-level GenAI Engineer specializing in RAG, LLM agents, and enterprise automation
“Accenture engineer who built and shipped a production RAG-based automation/chatbot for SAP incident triage and troubleshooting, embedding thousands of runbooks/logs/tickets into a semantic search pipeline and integrating it into Teams/Slack. Reported major productivity gains (30–60% time reduction), >90% validated answer accuracy, and sub-2-second responses, with strong orchestration (Airflow/Prefect/LangGraph) and reliability practices (guardrails, testing, monitoring).”
Junior Full-Stack Software Engineer specializing in MERN and data/AI applications
“Early-career CS/data professional with hands-on experience integrating analytics dashboards into a production MERN system, including a Redux state redesign and schema validation that delivered zero-downtime release and measurable performance gains (~30% faster APIs, 25% faster reporting). Previously a data analyst at Reliance Jio, where they extended Python-based reporting pipelines (CSV/MySQL) with automated validation and anomaly detection to improve KPI dashboard reliability and cut investigation time by ~30%.”
Mid-Level Software Development Engineer specializing in GenAI automation and cloud systems
“Backend Python engineer who architected an event-driven order integration engine connecting EDI vendors to ERP/WMS/3PL systems, including a canonical order model and adapter framework to eliminate per-customer hardcoding. Has hands-on Kubernetes production experience (microservices, Celery workers, CronJobs, HPAs) and implemented GitOps/CI-CD using GitHub Actions, Docker, and ArgoCD, including moving deployments from on-prem to Azure.”
Senior Full-Stack Java Developer specializing in microservices and cloud platforms
“Full-stack engineer focused on data-heavy platforms, building Spring Boot microservices and Angular/React dashboards end-to-end. Has hands-on experience improving large-scale API and UI performance (including cutting 8–10s response times) and ensuring cross-service consistency using Kafka, idempotent consumers, and strong validation/transaction patterns on AWS with CI/CD and observability (Prometheus/ELK).”
Junior Full-Stack & ML Engineer specializing in AI-driven web platforms and healthcare analytics
“Backend-focused engineer who owned an AI mentoring workflow platform built in Django with LangGraph multi-agent orchestration, optimizing it to stay under 200ms latency while scaling past 1,200 active users using profiling, caching, load testing, and OpenTelemetry-style tracing. Also has hands-on experience containerizing and deploying Python/ML services to AWS ECS via GitHub Actions/GitOps, and building reliable real-time pipelines with webhooks and Redis queues (idempotency, backpressure, DLQ).”
Mid-level Software Engineer specializing in Java/Spring Boot microservices
“Full-stack AI engineer who built Skillmatch AI, an LLM/RAG-based job matching platform using FastAPI microservices, Airflow-orchestrated async pipelines, and Pinecone vector search (sub-second retrieval across 50k+ vectors) deployed on GCP with autoscaling. Also partnered directly with a cancer researcher to automate SEER + PubMed-driven report generation via an AI pipeline, emphasizing rapid prototyping and outcome-focused communication.”
Senior Software Engineer specializing in cloud-scale distributed systems and data platforms
“LLM/RAG-focused engineer who repeatedly takes agentic workflows from impressive demos to dependable production using rigorous evals, SLOs, and deep observability. Has led high-impact incident mitigation (22-minute MTTR during a major sale) and developer enablement workshops, and partnered with sales to close a $410k ARR enterprise deal with a tailored RAG pilot (FastAPI/pgvector/Okta/InfoSec-ready).”
Mid-level GenAI/Data Engineer specializing in LLMs, RAG systems, and fraud detection
“ML/NLP engineer with banking domain experience who built a GenAI-powered fraud detection and risk intelligence system at Origin Bank, combining RAG (LangChain + FAISS), fine-tuned BERT NER, and GPT-4/Sentence-BERT embeddings. Delivered measurable impact (25% higher fraud detection accuracy, 40% less manual review) and emphasizes production-grade pipelines on AWS SageMaker/Airflow with strong data validation and scalable PySpark processing.”
Junior AI/Software Engineer specializing in LLM agents, RAG, and full-stack ML systems
“Backend engineer who built an Emergency Alert System with Virginia Tech for the City of Alexandria, focusing on real-time ingestion, secure dashboards, and AI-assisted prioritization. Emphasizes high-stakes reliability with guardrails (hybrid rules+LLM, confidence-based fallbacks), scalable async processing, and defense-in-depth security (JWT/RBAC plus database row-level security).”
Senior Full-Stack Engineer specializing in serverless AWS and IoT products
“Founding engineer with strong end-to-end product delivery across IoT + mobile + serverless cloud: built firmware for a Bluetooth-connected device (ESP32), a native Swift iOS app, and an AWS serverless backend (API Gateway/Lambda/SQS/SNS/DynamoDB) including payments via Stripe. Also shipped a separate startup product in 6 months: a React visual tool that generated HTTP/REST APIs with a Django backend, admin panel, and a code-generating CLI.”
Mid-level Full-Stack Developer specializing in cloud-native web apps and AI monitoring
“QA automation-focused candidate with hands-on ownership of unit and integration test suites, including CI/CD integration in GitLab. Caught a database-query regression that would have shipped incomplete API data by relying on automated integration tests, and has practical Cypress experience stabilizing flaky tests using cy.intercept()/cy.wait() and stable selectors.”
Mid-Level Full-Stack Software Engineer specializing in Java microservices and React
“Backend-focused TypeScript/Node.js engineer who owned a production microservice for transactional workflows in a React + microservices platform, integrating REST and Kafka event processing. Emphasizes operability and correctness (idempotency keys, exponential backoff retries, DLQs, centralized logging/metrics/alerts) plus strong API DX via versioning and Swagger/OpenAPI with improved error contracts based on developer feedback.”
Mid-level Software Engineer specializing in Java microservices and cloud-native systems
“Enterprise workflow/product engineer (DXC) who owned a customer-facing workflow application for 500+ users and improved performance ~30% through API/SQL optimization, caching, and CI/CD-backed iteration. Experienced designing React/TypeScript + Java/Spring Boot systems and operating microservices with RabbitMQ/Kafka-style messaging, emphasizing reliability via DLQs, backpressure, and strong observability. Also built an internal automation dashboard adopted by support/ops teams to cut manual work and reduce SLA misses.”
Mid-Level Full-Stack Software Engineer specializing in Java/Spring and React
“Full-stack engineer who has shipped a real-time social engagement feature (live messaging + personalized feeds) for a career networking platform, owning everything from WebSockets/SSE and JWT+Redis auth through Docker/Kubernetes production deployment. Also built a production Flask backend for an AI-driven movie recommendation system on AWS, with strong API design (versioning/error standards) and hands-on performance tuning (Typesense +47% query improvement, Postgres indexing, Redis caching, CloudWatch-driven incident response).”
Junior Backend/Cloud Software Engineer specializing in microservices and DevOps
“Cloud/DevOps-focused engineer with strong Linux production operations experience, deploying microservices to AWS on Docker/Kubernetes. Has built and operated secure CI/CD (GitHub Actions/Jenkins) and Terraform IaC workflows with approvals, remote state, and drift detection, and has hands-on incident recovery experience in containerized environments; limited direct IBM Power/AIX/PowerHA exposure.”
Mid-Level Full-Stack Product Engineer specializing in TypeScript/React, Java, and AI integration
“Full-stack product engineer who builds and owns production features across Next.js/React/TypeScript and Java Spring Boot, with strong Postgres data modeling and performance tuning. Has delivered measurable improvements (60%+ faster renders, 2s→100ms queries, 50% lower workflow latency) and built reliable Kafka-based workflows with robust observability (Prometheus/Grafana/Alertmanager) and high test coverage.”
Engineering Director for AV infrastructure and large-scale backend systems
“Engineering leader/player-coach who redesigned A/B testing and observability infrastructure for real-time audio/video features at 90M+ DAU scale, using Kafka-based ingestion and horizontally scalable aggregation for near real-time metrics. Managed 10–15 engineers, drove >20% infrastructure cost reduction without user-experience regressions, and led major peak-traffic incident response with lasting reliability improvements (load testing, capacity planning, alerting, pre-mortems).”
Senior Full-Stack Software Engineer specializing in geospatial and mobile data collection
“Frontend engineer who led end-to-end development of a React-based carbon credits data collection and analysis tool, focusing on scalable architecture and performance (code splitting, SWR caching, memoization, Lighthouse monitoring). Experienced building complex route-driven TypeScript wizards with Redux/Rematch state persistence, and refactoring legacy monolithic UI into reusable, tested, documented components while shipping deadline-driven features using feature flags and tight QA collaboration.”
Mid-Level Full-Stack Software Developer specializing in Java, Spring Boot, and cloud-native web apps
“Former Wipro engineer who contributed to an open-source JavaScript utility library focused on frontend validation/formatting, including adding a cross-browser date-formatting module. Experienced in OSS maintenance (bug fixes, PR reviews, docs), performance profiling/benchmarking (Chrome DevTools, Node.js performance hooks), and improving community support workflows with issue templates and diagnostic logging.”
Mid-Level Full-Stack Software Engineer specializing in cloud infrastructure and web applications
“Software engineer turned solutions/technical support engineer with 5+ years of experience supporting and migrating a custom CRM used by U.S. House of Representatives offices. Has hands-on ownership of database export/import scripting, API key-based integrations, and production troubleshooting, and also consults government customers on procurement/CLM workflows while partnering with sales/marketing on demos and adoption use cases.”
Senior Software Developer specializing in Unity VR and mobile apps
“Unity/VR developer who shipped a Meta Quest wireless conversion of a previously wired VR product, owning research, network troubleshooting (2.4 vs 5 GHz), performance tuning, and reworking hand tracking. Also built a British Airways cabin crew training application largely solo and deployed it across iOS, Android, PC, WebGL, and Web Player with platform-specific optimization strategies.”
Junior Software Engineer specializing in full-stack web and systems programming
“Junior engineer who built a novel, highly-performant database explorer at Electric Capital: a TypeScript/React UI backed by Zig-compiled WebAssembly that loads data locally for fast filtering/sorting and responsive lazy loading, with CI/CD and Cloudflare-based auth. Also led graphics work on a WebGPU browser game engine capstone, creating TypeScript abstractions over WGSL/shader and GPU buffer complexity to accelerate teammates.”
Intern Software Engineer specializing in full-stack development, cloud, and automation
“Robotics software engineer who built an autonomous debris-clearing rover software stack end-to-end using ROS 2, Python/OpenCV, and YOLOv3, with strong emphasis on real-time reliability (latency instrumentation, stale-data handling, watchdog fail-safes). Also implemented a Docker CI/CD deployment system for remote Raspberry Pi timelapse devices, distributing updates via AWS S3 to handle intermittent connectivity.”