Pre-screened and vetted.
Senior Software Engineer specializing in developer tools, cloud automation, and generative AI
“Built and deployed a production chatbot on osvaldocalles.com and iterated through real-world LLM engineering issues: model quota/cost tradeoffs (migrating to Nova Pro), RAG accuracy via semantic chunking, AWS IAM/guardrail/security pitfalls, and Lambda/API Gateway streaming constraints (prefers JS for streaming layer). Experienced with agent orchestration using Strands SDK (AWS-focused) and LangGraph (Vercel/container deployments), plus evaluation pipelines using LLM-as-evaluator, dashboards, and staged model rollouts.”
Director of Engineering specializing in cybersecurity SaaS platforms and cloud-scale backend systems
“Director of Engineering at Proofpoint for 8 years, leading architecture and integration of Java microservices within a detection platform. Demonstrates pragmatic delivery leadership—incurring short-term cost to meet launch deadlines, then systematically paying down technical debt and optimizing AWS spend—plus a disciplined, long-horizon approach to backward-compatible API/schema evolution across many dependent services.”
Director of Engineering specializing in cloud-native SaaS, e-commerce search, and AI personalization
“Engineering leader (12+ years Director, 17 years lead) focused on developer productivity and platform/framework work across Oracle, PlayStation, Workday, and CafePress. Notable for building distributed teams from scratch and delivering high-impact platform architecture—e.g., re-architected PlayStation’s upload pipeline to support 500GB–5TB submissions using browser-to-AWS chunked uploads with SNS/SQS and deduplication/resume support.”
Mid-level Markets & Product Professional specializing in FX, analytics, and mission-driven tech
“Finance professional (Citi) blending strategic account work with hands-on analytics/automation: led Asia’s first digital banking conferences and delivered 6 institutional client acquisitions. Built self-serve dashboards/VBA tools and self-taught Python to create an ML classifier still used daily, and uncovered ~$5M in untapped annual revenue. Experienced partnering with compliance/legal and navigating sensitive regulatory information in FX markets.”
Executive Engineering Leader specializing in product strategy and scaling teams
“Engineering leader (Sr Director/VP) with healthcare marketplace and e-commerce/art marketplace experience who has shipped AI-driven pricing, scaled engineering teams rapidly, and navigated messy legacy integrations. Currently doing fractional tech advisory, leading a migration from self-hosted infrastructure to Google Cloud using IaC while mentoring a junior developer and modernizing security/patching posture.”
Mid-Level Software Engineer specializing in distributed systems and cloud platforms
“Amazon Alexa engineer who architected and shipped a GenAI Knowledge Agent used by 2M+ customers, focused on making LLM outputs auditable via citations and a verification layer that prevents hallucinations. Built the full vertical slice (FastAPI/LangChain backend + React/TypeScript streaming UI) while keeping p99 latency under 200ms, and has proven incident response experience on AWS (Lambda/DynamoDB scaling issues).”
Junior Software Engineer specializing in full-stack and ML/NLP systems
“Entry-level full-stack engineer with internship experience at Amazon (Appstore IAP flow + uninstall recommendation workflow) and a health-tech startup (OneVector) where they built a DSUR reporting workflow end-to-end, including document generation, S3-backed versioning/metadata, and secure preview/download. Demonstrates strong production debugging and reliability mindset (instrumentation, deterministic retrieval, idempotent writes) and focuses on UX/performance in high-stakes user flows.”
Intern Software Engineer specializing in cloud, AI, and systems programming
“AWS intern who significantly evolved a Drift Audit Service backend (Control Tower/EventBridge context) to make drift findings more explainable and reduce false positives by adding a verification step in Lambda before event ingestion. Demonstrates strong API design fundamentals in Python/FastAPI (contracts, idempotency, security controls) and careful rollout practices (feature flags, canaries, phased deployments).”
Mid-level Software Engineer specializing in Ads backend and ML infrastructure
“Customer-facing technical professional with Amazon incident-management experience who helps drive adoption of complex ML/LLM solutions by delivering hands-on demos and rapid model fine-tuning. Applies a disciplined debugging approach (repro + logs/metrics + severity triage) and maintains runbooks to resolve SEV2 issues in ~1 hour, while also partnering with sales/customer teams to ship patches and new features based on feedback.”
Executive Engineering & Product Leader specializing in Cloud/SaaS observability and security
“Product/technology leader with deep security and cloud infrastructure expertise who drove a major shift from hardware-based networking/security appliances to cloud-native capabilities, growing cloud revenue from $0 to $400M in 4.5 years. Led an innovative eBPF-based approach (“precryption”) to enable lightweight cloud TLS interception/decryption, and has hands-on coding interest (recent Rust work on a personal cybersecurity identity/trust platform).”
Senior Cloud Infrastructure Architect specializing in multi-cloud, DevOps, and AI/ML platforms
“Engineering leader (Director of Development) with hands-on cloud and product experience who builds business-aligned technology roadmaps and scales teams. Delivered an enterprise cloud-migration enabler at UHG by implementing AD authentication and Terraform-based IaC for custom VM images while meeting 90-day InfoSec patch/rotation requirements, and drove a 20% lift in user consumption/retention by designing an interactive branded media portal experience for Sunkist.”
Senior Solutions Architect & Full-Stack Developer specializing in Media & Entertainment on AWS
“Engineering/product leader with experience at ABC News and AWS who built newsroom collaboration and internal tooling initiatives into a full department, aligning roadmaps to business outcomes and navigating Disney-scale bureaucracy. Demonstrates hands-on architectural depth in serverless systems (Lambda/SQS/Parquet) and strong distributed-team operating cadence (Kanban/Asana, Jira/GitHub, Zoom/Slack), including leading while frequently traveling to evangelize and test products across bureaus.”
Mid-level Software Engineer specializing in autonomous vehicle operations and test automation
“Hands-on Python/IoT engineer with experience spanning research labs and autonomous vehicles (Zoox), focused on making data/decision-support systems reliable in production. Has deployed and Dockerized Python tools with pinned dependencies, built sensor-based on-prem data collection systems (aquafeed evaluation), and troubleshot telemetry issues down to a failing switch port using logs, multimeter checks, and network diagnostics.”
Executive Technology Leader (VP/CTO) specializing in AI/ML, digital transformation, and FinTech
“Product-focused operator with ~20 years experience helping both large companies and newer market entrants launch successful products, with a strong emphasis on disciplined product-market fit in emerging markets. Has personal investing exposure as an LP in two private funds and is researching seed-stage angel investing, and is motivated to found a consumer/software venture built with lean execution and clear defensibility.”
Mid-level Software Engineer specializing in cloud, distributed systems, and frontend platforms
“Robotics software engineer with hands-on ROS2 experience building an audio conversion node and integrating Whisper LiveKit for streaming speech-to-text in a simulated hostile (outer space) robot environment. Also worked on a 2023 LiDAR + ML vision obstacle-detection project for a hospital-nurse-assistant robot, and has strong large-scale CI/CD deployment experience from AWS (2022–2024) across alpha/pre-prod/prod stages.”
Intern Mechanical/Robotics Engineer specializing in controls, computer vision, and SLAM
“Robotics software engineer/researcher with hands-on experience building a MuJoCo-based digital twin of a 6DOF soft-actuated manipulator, spanning robot design, custom actuator dynamics, classical control (PID/MPC), and RL (imitation learning and TD-MPC2 model-based RL). Also has ROS1-in-Docker SLAM integration/visualization experience and delivered a major trajectory-tracking improvement (error reduced from ~100mm to ~5mm) via Savgol smoothing, plus prototype fleet communications work for a solar-powered power line inspection robot.”
Senior Site Reliability Engineer specializing in production LLM/RAG deployments
“Built and operationalized an internal LLM/RAG system for engineering specs—starting with an at-home prototype using real ERP documents, then securing hardware, standing up a GPU/software stack, and deploying through UAT to production. Identified organizational gaps (no shared spec repository) and created a queryable RAG database that reportedly cut document discovery from days/weeks to minutes, while also resolving retrieval issues via improved PDF-aware chunking.”
Mid-Level Full-Stack Software Engineer specializing in ads transparency platforms
“TikTok engineer (4 years) who built and owned multiple ad transparency platforms used by internal teams and advertisers worldwide. Strong full-stack profile spanning Next.js/TypeScript + Redux frontends, a secure/optimized BFF layer, and event-driven backend workflows (Kafka, retries/DLQ, Redis idempotency) with heavy emphasis on observability and performance; cites a 20% moderation efficiency gain on a modernized legacy tool.”
Executive Engineering Leader specializing in cloud-native platforms and global team scaling
“Entrepreneurially driven technical leader seeking to partner with a founder/business plan owner to provide technical expertise. Helped drive Wiser's expansion into Europe by evaluating acquisition targets' technical estates and making the recommendation that was chosen. Applied lean, high-leverage product thinking at Nabis on a two-sided marketplace, delivering buyer value with a simple algorithm and later adding paid boosting for brands.”
Mid-level Machine Learning & Generative AI Engineer specializing in NLP, CV, and RAG systems
“Built and deployed a production LLM-powered RAG document intelligence system used by non-technical enterprise stakeholders, cutting document search time by 40%+ while improving answer consistency. Demonstrates strong MLOps/data workflow orchestration (Airflow, AWS Step Functions, managed schedulers across GCP/Azure) and a metrics-driven approach to reliability, evaluation, and cost/latency optimization with guardrails and observability.”
Mid-level Software Engineer specializing in Windows graphics performance and cloud automation
“Graphics software engineer with academic robotics/HRI experience at Oregon State University under Dr. Heather Knight, leading a ROS+Python physical robot and Unity/C# VR system to study how motion/texture/collisions are perceived in VR (2 papers + thesis). Also built ROS-based Wizard-of-Oz TurtleBot study systems and multi-robot coordination experiments, plus industry experience with Docker/Kubeflow ML tooling and Azure DevOps CI/CD automation.”
Director-level Engineering Leader specializing in SaaS, Cloud Migration, and Cybersecurity
“Senior engineering leader with experience at Cisco, Amazon, and startup Shopkick, operating at high scale (e.g., Secure Web Gateway handling ~40M QPS). Known for measurable impact across reliability and cost (85% efficacy improvement; Datadog spend cut from ~$500k/month to ~$15k/month) and for leading complex platform modernization (1-year monolith-to-microservices/event-driven migration with zero customer impact) plus compatibility-focused API design that cut device onboarding from a month to a day.”