Pre-screened and vetted.
Healthcare technology executive and architect with 20+ years leading enterprise platforms and digital transformation.
“Healthcare-focused founder in the R&D stage building an EHR and clinical staffing startup centered on value-based care. They have already tested the concept with the market, are engaging Medicaid/Medicare leaders and industry conferences like ViVE and HIMSS, and are focused on early-signal detection to improve patient outcomes while lowering utilization costs.”
Junior Software Engineer specializing in AI/LLM backend systems
“Built production AI systems in high-stakes domains, including a medical RAG chatbot focused on reducing hallucinations and a document-processing workflow that automated manual PDF extraction. Demonstrates strong end-to-end ownership across backend services, APIs, LLM integration, and iterative reliability improvements based on real usage and failure analysis.”
Junior Software Engineer specializing in full-stack and iOS development
“Built and shipped a production Python service integrating with a helium mass spectrometer for real-time sensing and remote control/monitoring. Combines hardware integration, observability, and Playwright-based automation expertise, with a strong track record of turning brittle or ambiguous real-world processes into reliable systems— including reducing dashboard automation failures from about 20% to under 2%.”
Junior Software Engineer specializing in full-stack, AI/ML, and systems development
“Full-stack product engineer with hands-on experience building a React/serverless/SQL e-commerce platform for Haagen-Dazs and improving consumer UX in a location-based animal discovery app. Stands out for pairing strong technical fundamentals—component architecture, SQL performance tuning, reusable primitives—with measurable product outcomes like 40% more completed orders, 25% customer growth, 95% navigation accuracy, and 20% fewer device malfunctions.”
Senior Full-Stack Engineer specializing in distributed systems and AI-enabled platforms
“Frontend-leaning full-stack engineer with strong ownership in network observability and analytics products, including BT Group's SMARTS platform and SSpain.ai at Texas A&M. Stands out for building data-dense, near-real-time dashboards and shaping products end-to-end across React/Angular frontends, FastAPI backends, PostgreSQL, AWS, and even React Native mobile surfaces.”
Director-level automotive strategy leader specializing in GTM, data, AI, and value creation
“Automotive-focused GTM and strategy leader who built Kaizen Analytix's Automotive and Mobility practice from roughly $250K to $5M in recurring revenue by turning complex enterprise problems into repeatable offerings. Brings a rare mix of consulting, sales, operations, and delivery execution, with deep expertise in trade/tariff workflows and emerging AI use cases for automotive and mobility.”
Junior Software Developer specializing in frontend engineering and applied AI
“Frontend-focused builder who developed Lushgreen, an ML-powered harvest forecasting and recommendation platform for farmers, agricultural businesses, and home gardeners. Stands out for combining React UI engineering, performance optimization, and user-centered simplification of complex ML outputs for non-technical users.”
“Unity/gameplay engineer (Playtika) who built a state-machine/ECS-driven slot/bonus engine in a client-server setup, focusing on consistent outcomes under latency and highly engaging reward sequences. Also implemented server-authoritative real-time challenges/contests via an event-driven messaging system (SignalR-like) across iOS/Android/WebGL/UWP, and validates impact through retention/session/engagement analytics.”
Mid-level Data Engineer specializing in big data pipelines and real-time streaming
“Data engineer who has owned end-to-end production pipelines processing a few million records/day, using Python/Airflow/SQL/PySpark with Snowflake serving to BI (Power BI). Built resilient external web data collection systems (anti-bot, schema-change detection, backfills) and shipped versioned REST APIs for internal consumers, improving pipeline success rates to 99% through monitoring, retries, and idempotent design.”
Mid-level Software Engineer specializing in cloud infrastructure and data platforms
“Infrastructure/data platform engineer with hands-on GCP production experience, especially Bigtable, who led a migration from Azure Cosmos DB Cassandra API to Bigtable that removed throttling and cut costs by 50%+. Stands out for combining distributed data architecture, zero-downtime Kafka migration strategy, and Terraform/Python automation for deterministic multi-region GKE operations.”
Junior Software Engineer specializing in backend systems and full-stack development
“Full-stack developer who uses AI thoughtfully as a productivity multiplier rather than a substitute for engineering judgment. Built a stock search platform with React, Node.js, and MongoDB, and has experimented with multi-agent workflows across frontend, backend, debugging, and documentation while keeping rigorous human review over logic, testing, and maintainability.”
Mid-level Full-Stack Python Developer specializing in cloud, data engineering, and AI/ML
“Full stack Python developer who actively integrates AI coding assistants into day-to-day engineering work, including code generation, debugging, testing, and documentation. Has also coordinated multi-agent workflows across backend, frontend, testing, and code review, showing an applied, productivity-focused approach to AI-enabled software delivery.”
Mid-level Full-Stack AI Engineer specializing in enterprise automation and FinTech
“Built and owned Citigroup's ASTRA AI-powered test case generation platform end to end, from full-stack product experience to multi-agent LLM orchestration and RAG infrastructure. Drove test coverage from 40% to 95%, cut generation time from hours to minutes, and scaled the feature to 300+ daily users across 32 enterprise projects with sponsorship from Citi's CIO and Head of Engineering Excellence.”
“Built an AI-driven insurance policy summarization platform at Marsh, taking it end-to-end from messy PDF ingestion/OCR and custom extraction through LLM fine-tuning and AWS SageMaker deployment. Delivered measurable impact (25% reduction in manual review time, 99% uptime) and demonstrated strong production MLOps/LLMOps practices with Airflow/Step Functions orchestration, rigorous evaluation (ROUGE + human review), and continuous monitoring for drift, latency, and hallucinations.”
Senior Full-Stack & GenAI Engineer specializing in healthcare and financial services
“Built and deployed a production LLM-powered customer support assistant using a RAG backend in Python, focused on deflecting repetitive Tier-1 tickets and reducing resolution time. Demonstrates strong production engineering instincts around reliability (confidence scoring + human fallback), scalability/cost optimization (multi-stage pipelines), and workflow orchestration/observability (LangChain, custom DAGs, structured logging, step metrics).”
Mid-level Salesforce Developer specializing in CRM automation and integrations
“Salesforce-focused engineer with hands-on depth across Service Cloud, OmniScript/DataRaptor, LWC, Aura, and Apex. Particularly strong in building metadata-driven workflows that let operations teams change intake flows without developer tickets, while still making disciplined architecture decisions around when custom code is actually warranted.”
Junior Full-Stack Developer specializing in web applications and backend systems
“Backend and full-stack engineer with experience spanning an academic collaboration platform and Comcast voice services. Stands out for measurable performance wins across the stack—30% faster page loads, 40% better throughput, and 25% lower server load—while working on reliability-sensitive production systems handling live voice traffic.”
“Unity lead game developer who shipped two games to Steam for Windows and ported them to Android. Hands-on with gameplay mechanics plus coordinating freelance model/animation work and integrating assets into the game, and uses AI tools to speed up debugging and navigating large codebases.”
Mid-level Software Engineer specializing in cloud-native systems and fraud detection
Junior Software Engineer specializing in systems programming and blockchain infrastructure
Mid-level Machine Learning Engineer specializing in GenAI and healthcare AI
Mid-level E-Commerce Financial Analyst specializing in DTC operations
Principal Oracle Financials Solution Architect specializing in ERP transformation
Mid-Level Software Engineer specializing in FinTech and cloud-native microservices