Pre-screened and vetted.
Senior Human Resources Specialist specializing in military recruiting and employee relations
“GS-9 federal civilian Human Resource Specialist supporting Navy recruiting at Fort Hamilton (Brooklyn), leading ~12 military recruiters and overseeing elements of contracting and security clearance processing via NASIS. Brings prior Army experience (medically discharged) plus a BS in Legal Studies/Criminology and is starting an MBA in Global Management & Leadership, with a strong data-driven approach to executive stakeholder decisions.”
Senior QA Lead specializing in console certification and compliance for video games
“Console game certification-focused QA tester with strong PlayStation (PS4/PS5) TRC experience and solid Nintendo LOT check exposure, including NDI and Nintendo Developer Center submission tracking. Works deadline-driven submissions using prioritized templates/checklists and leverages internal AI tools for reporting, documentation lookup, and certification risk/go-no-go recommendations.”
Senior Data Analytics & Data Science professional specializing in Financial Services
“Worked on large financial analytics datasets combining complaint text, transaction logs, and demographics; built end-to-end NLP/ML pipelines (TF-IDF + Random Forest) and data integration in BigQuery with Tableau reporting, citing ~95–98% accuracy. Also implemented entity resolution with fuzzy matching and semantic linking using BERT sentence-transformer embeddings stored in FAISS, including fine-tuning on labeled pairs to improve search/linking relevance.”
Intern AI/ML Engineer specializing in NLP, computer vision, and reinforcement learning
“Built an Arduino-based obstacle-avoiding robot using sonar/laser sensors and improved performance from 0.60 to 0.87 accuracy through sensor-fusion thresholding and iterative tuning. In an internship, optimized a legal-document NLP pipeline by switching to a distilled/quantized transformer and offloading inference to a GPU-backed Flask service, cutting inference time by 40%+ without added infrastructure spend.”
Mid-level Full-Stack Java Developer specializing in microservices and cloud-native systems
“Senior full-stack engineer with strong healthcare domain experience who has shipped an Azure OpenAI RAG-based patient medication support chatbot to production, driving ~10K queries/month and a reported 38% reduction in call center volume. Also builds polished real-time React/TypeScript pharmacy tooling and operates large-scale Python/Spark ETL pipelines (~12M records/day) with strong API design, observability, and cloud deployment experience across Azure/Kubernetes and AWS.”
Senior Software Engineer specializing in Golang microservices and IAM/SSO
“Backend engineer with experience at DigitalOcean and BNY Mellon, specializing in secure, highly available authentication and API platforms. Built an enterprise SSO system integrating Okta via OIDC with resilience patterns (gRPC contracts, circuit breakers, Kafka) and strong encryption, and led a careful monolith-to-Golang microservices migration using shadow traffic, dual writes, and feature flags to preserve data integrity.”
Mid-level Full-Stack Engineer specializing in cloud-native microservices
“Backend engineer with hands-on experience scaling a CVE processing platform by re-architecting it into a Kafka-based distributed system, boosting throughput to 200k+ records/min while designing for HA, deduplication, and fault tolerance. Also led a Flyway-driven migration affecting 15M+ records with staged dev→stage→prod rollout, and has implemented production security patterns (Auth0, OAuth2/HTTPS, AWS IAM RBAC) including least-privilege hardening.”
Mid-level Full-Stack Developer specializing in React and Node.js web applications
“Frontend engineer focused on scalable React/Redux + TypeScript applications, with hands-on experience designing reusable component architectures, improving performance (reducing re-renders, streaming API calls), and hardening maintainability through standardized styling and unit tests. Has shipped deadline-driven dashboard features (e.g., filters) using Agile practices and Jira to manage QA and client feedback.”
Mid-Level Full-Stack Software Engineer specializing in Java, React, and AWS
“Backend engineer focused on cloud-native microservices on AWS, owning Python/Flask ingestion services integrated with S3/Lambda and deployed via Docker/Kubernetes with CI/CD. Has led phased migrations from manually managed EC2 setups to automated CloudFormation + pipeline-driven releases, and designed event-driven near-real-time pipelines with idempotency, retry/backoff, and strong observability.”
Mid-level AI/ML & Data Engineer specializing in MLOps and cloud data pipelines
“AI/ML engineer (Merkle) with hands-on experience deploying RAG-based LLM applications and real-time recommendation engines into production. Strong in cloud/on-prem architectures, GPU autoscaling, caching, and network optimization—delivered measurable latency reductions (40–70%) and improved retrieval relevance by systematically benchmarking chunking/embedding configurations and validating pipelines via CI/CD.”
Senior Technical Narrative Designer specializing in VR and interactive storytelling
“Mission/narrative designer with shipped VR experience on Lone Echo II, including designing and tuning a generator mission and its transition into a branching choice/free-exploration structure. Also builds UE5 Blueprint prototypes for narrative adventure concepts ("Runt"), implementing interaction-driven cinematics and iterating on camera pacing and character writing.”
Mid-Level Data/ML Engineer specializing in Generative AI and cloud data platforms
“Built and productionized an LLM-based financial document analysis system using a RAG pipeline, including robust ingestion/chunking/embedding workflows, vector DB retrieval, and an AWS-deployed FastAPI service containerized with Docker. Demonstrates strong applied expertise in improving retrieval quality and latency at scale, plus hands-on experience debugging agentic/LLM workflows with monitoring and trace-based analysis while supporting demos and customer-facing adoption.”
Executive CTO specializing in Web3/GameFi, cloud infrastructure, and AI-driven platforms
“Entrepreneurial product builder who created chaintrigger.com in response to early Web3 demand for real-time on-chain event reactions, offering an alternative to The Graph Protocol and achieving adoption among games and other Web3 projects. Currently developing new tools, dogfooding internally, and building distribution via personal network and a niche Twitter/X following to gather feedback and iterate quickly.”
Director-level Client Success & Partnerships leader in fashion, retail, and brand marketing
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Director-level QA Leader and Game Design Director specializing in games, AI, and mortgage-tech
Mid-Level Full-Stack Software Engineer specializing in web performance, cloud, and secure APIs
Mid-level 3D Character Animator specializing in character performance and storytelling
Mid-Level Software Development Engineer specializing in full-stack web and AI/LLM apps
Mid-level Full-Stack Java Developer specializing in Spring and React
Mid-level Graphic Designer specializing in brand-driven marketing and CPG design
Senior Software Engineer specializing in Python, AWS, and cloud-native backend systems
Senior Quality Control Analyst specializing in accessibility and WCAG 2.2 AA compliance