Pre-screened and vetted in Massachusetts.
Executive technology architect specializing in cloud platforms, SRE, and enterprise SaaS
Senior Software Engineer specializing in cloud infrastructure and distributed systems
“Amazon engineer focused on productionizing LLM-powered developer workflows, including code assistance, debugging automation, and internal AI tooling. Stands out for combining hands-on ML systems work with strong platform engineering, including an orchestration engine that reportedly saved about $10K/day and reduced a manual workflow from 12 hours to under a second.”
Senior Full-Stack Software Engineer specializing in developer tools and QA automation
Senior Software Engineer specializing in AI, full-stack platforms, and real-time systems
“Built end-to-end AI analytics experiences spanning React/TypeScript, serverless APIs, and Postgres, with a strong focus on streaming UX, observability, and reliability. Stands out for turning ambiguous AI product ideas into shippable MVPs, then abstracting repeated patterns into reusable orchestration and multi-tenant configuration systems that improved speed, consistency, and maintainability.”
Senior Full-Stack Developer specializing in cloud-native microservices and AI-driven healthcare apps
Mid-level Software Development Engineer specializing in robotics and cloud-based device management
“Amazon Robotics engineer who deployed and scaled the Lumos camera-based package scanning work cell across EU sort centers (100+ work cells in 5+ sites), enabling remote launches via detailed runbooks and troubleshooting. Strong in AWS IoT/edge systems, with hands-on incident recovery (restored 34 down work cells) and secure multi-compute certificate provisioning using IoT Jobs, ACM/CA, and custom roles; delivered ~75% per-cell cost reduction vs Cognex-based approach.”
Executive Technology Leader specializing in digital health and game platforms
“Technical founder at Mightier, a clinically-validated mental health video game system for kids, where the company has raised $30M. Brings 25+ years of game development experience, has built zero-to-one titles with millions of players, and has scaled core functions from product/dev through QA, customer support, and even manufacturing for a physical-shipping business; currently leading an agentic coding transformation.”
Engineering Manager specializing in AI/ML platforms and 0→1 product delivery
“Player-coach engineer/lead on a high-scale research integrity platform ("Lighthouse") that flags fraud/manipulation signals across ~3M academic manuscripts per year. Owns architecture decisions (ADRs), implements across Go/Java/React services, and introduced NLP (SciBERT embeddings + human-in-the-loop) to assess out-of-context citations while also handling production incidents with a data-consistency-first approach.”
Intern Full-Stack Software Engineer specializing in LLM-integrated web apps and microservices
Senior Full-Stack Engineer specializing in .NET, Cloud Architecture, and Angular
Mid-level Software Engineer specializing in Robotics and AI systems
“Software Developer at Amazon Robotics who co-developed a congestion-aware path planning system optimizing robot routes across 23 warehouses. Built and operated a real-time, service-integrated pipeline using AWS (AppConfig, DynamoDB), Java, and Redis caching, and has hands-on experience debugging robot behavior on-site with rigorous testing and staged releases.”
Mid-level AI/ML Engineer specializing in RAG systems and cloud data platforms
Junior Full-Stack Software Engineer specializing in SaaS and AI-powered web apps
“Full-stack engineer with experience at HubSpot, Accolite, and an early-stage USC alumni startup (Workup). Built and shipped end-to-end workflow automation features (dynamic input configuration with strict schema validation) driving ~25% faster configuration, and delivered an AI interview customization feature in a high-ambiguity startup setting that increased adoption by ~40%. Comfortable operating production systems on AWS with CloudWatch observability and CI/CD, and has built real-time web apps with caching/indexing for performance.”
Intern AI & Full-Stack Developer specializing in biotech valuation and ML
Senior Software Engineer specializing in cloud storage and infrastructure
Mid-level Robotics/Mechatronics Engineer specializing in autonomous systems and robot manipulation
Senior Full-Stack Software Engineer specializing in Healthcare IT and cloud-native systems
Senior Backend Engineer specializing in cloud-native microservices and real-time streaming
Mid-level Full-Stack Software Engineer specializing in cloud and data platforms
“Full-stack engineer with experience spanning Amazon IMDb and Northeastern’s NeuroJSON portal, combining consumer product work with complex scientific data applications. Built IMDb’s streaming providers feature—described as the company’s most impactful feature of 2023—and has hands-on experience with React/Angular, GraphQL, AWS, Python services, and production monitoring.”
Senior Robotics Software Engineer specializing in ROS, CI/CD, and autonomy tooling
“Robotics software engineer with hands-on experience migrating a robotics project from ARM to AMD by building a Dockerized environment with PyTorch/CUDA dependencies, improving data processing and battery efficiency. Has integrated ROS 2 nodes for a Time-of-Flight camera and debugged motion-planning issues (tight-turn stopping) using data collection and iterative tuning; also built custom robots in Webots for sensor/actuator-driven behaviors.”
Director-level Enterprise Architecture & CRM/AI Automation Leader (Salesforce, ERP/CRM platforms)
“Associate Director in commercial technology leading Salesforce platform delivery (Sales Cloud + Health Cloud) for patient engagement and order management. Personally led secure integrations like Bartender Cloud label/barcode generation (PDF creation, encryption, malware scanning) and owned a major StreamSets-based Salesforce data sync incident triggered by a Salesforce region move, adding proactive monitoring and automated DR/failover. Experienced in scaling delivery via CI/CD, release cadence, and leading teams through architecture reviews, code reviews, and lead-to-cash automation.”
Mid-Level Software Engineer specializing in distributed systems and cloud data pipelines
Intern Software Engineer specializing in systems, embedded Android, and ML