Pre-screened and vetted.
Junior AI Software Engineer specializing in LLM pipelines, OCR, and RAG
“Built and shipped a production LLM pipeline for nursing home Medicare reimbursement (PDF OCR + fact extraction + keyword RAG + QA) that reportedly increased payouts by ~$1K/month per patient. Strong in LLM ops/benchmarking (ground truth, LLM-as-judge, cost/I-O tracking) and pragmatic optimization—swapped retrieval approaches, fine-tuned a small model to cut OCR cost 90%, and migrated workloads to Azure/Temporal to scale nightly processing 10x.”
Entry-level AI/ML Software Engineer specializing in generative AI and computer vision
“Built and owned a production RAG coding assistant at Magna International used by 200 engineers, with hands-on work across React/TypeScript, retrieval infrastructure, and Postgres observability. Also brings an unusual blend of product UX thinking from AR game onboarding work, showing strength in both technical systems reliability and user activation.”
Director-level revenue strategy leader specializing in payments and FinTech
“Started in quantitative economic consulting at Cornerstone Research, then moved into early-stage investing at Euclidean, the family office of Jim Simons, before earning an MBA at Booth to pivot into operating roles. Now leads revenue strategy and operations work at FIS across international banking/payments and North America payments, with experience owning high-visibility initiatives like compensation redesign tied to recurring revenue growth.”
Junior strategy and operations professional specializing in analytics and growth
“Operations and growth-oriented leader who helped build McMaster-Carr's first international sales/export function, then evolved the role into UK market growth and digital marketing. Combines cross-border operational expertise with hands-on customer experience analysis, team management, and UI/UX-driven process improvement.”
Mid-level Software Engineer specializing in distributed systems, AI, and FinTech
“Full-stack engineer with experience at AWS and Barclays, spanning large-scale cloud infrastructure, customer-facing product development, and production GenAI systems. Stands out for owning systems end-to-end—from backend architecture and frontend UX to AI reliability and cost optimization—with measurable impact including 25% fewer support tickets, 10% subscription growth, and debugging time reduced from 30 minutes to 5 minutes.”
Mid-level Software Engineer specializing in AR/VR accessibility
“Spatial computing software engineer focused on making Apple Vision Pro/visionOS accessible, including building VoiceOver and Live Captions features. Debugged a complex Live Captions issue involving dual audio inputs during FaceTime screen sharing by leveraging iOS implementation docs and creating concurrent audio sources; also has safety-critical testing experience from train control systems and is interested in pivoting into robotics.”
Entry-level Financial Data Analyst specializing in analytics and compliance reporting
“Current financial data analyst at Maximus with hands-on experience building SQL and Python reporting pipelines for expenditure, refund, and retention analysis. Stands out for turning messy multi-source financial data into trusted dashboards, automating reporting to save 15+ hours weekly, and driving measurable reductions in refund rates through cohort-based analysis.”
Mid-level AI/ML Engineer specializing in LLMs, FinTech, and Healthcare IT
“Built production GenAI systems in both healthcare and financial services, including a Verily clinical platform and an Accenture financial Q&A product. Stands out for combining advanced RAG, fine-tuning, safety evaluation, and infrastructure engineering to deliver measurable gains in engagement, groundedness, hallucination reduction, and cost efficiency.”
Senior Software Engineer specializing in Python, cloud platforms, and distributed systems
“Backend/data engineer with production experience at Walmart and HealthSnap building Python services and data pipelines on AWS (EKS, Lambda, Glue, Airflow). Strong reliability and operations focus—implemented idempotency + circuit breakers for peak-traffic consistency issues, GitOps CI/CD, and observability. Demonstrated measurable performance wins (Postgres p95 45s to <5s, ~60% CPU reduction) and modernized SAS batch workflows to Python with parallel-run parity validation and feature-flagged rollout.”
Mid-level Full-Stack Developer specializing in interactive web apps and AWS
“Full-stack, design-minded developer who builds interactive, motion-forward experiences and translates complex creative coding (Three.js/p5.js/GLSL) into accessible UI for non-technical clients. Delivered an end-to-end manufacturing quality control image system for ChargePoint (React dashboard + AWS) and has hands-on field research experience from Hyundai EV user interviews; currently leading development of a virtual gallery for Creative Coding NYC.”
“Machine learning software engineer intern experience at Amazon, where they built a production testing framework to inject frames/videos onto devices to measure embedded CV model inference and ensure broad model compatibility via automatic NNA metadata handling. Also built side projects spanning LLM/RAG orchestration (LangChain/LangGraph with reranking and citations) and applied CV/healthcare work (nail disease detection, medical retrieval chatbot).”
Mid-level Robotics & Computer Vision Engineer specializing in autonomous systems and edge AI
“Robotics/perception researcher (MVOS Lab, South Dakota State University) who built an end-to-end multimodal RGB-D + LiDAR pipeline for autonomous greenhouse harvesting and 3D plant phenotyping. Demonstrated strong production ownership by diagnosing motion blur with ROS-bag + OpenCV metrics and shipping an edge-deployed, scan-quality-aware workflow that boosted barcode read rate to 98% and supported ~70% autonomous pepper detection/harvesting accuracy.”
Entry-level Account Development Representative specializing in FinOps SaaS
“Enterprise-focused SDR candidate with experience prospecting into some of the largest companies in the world using multi-channel outbound, personalized trigger-based messaging, and multithreaded stakeholder outreach. They report never missing quota, worked toward quarterly goals of 20 meetings and $1M in pipeline, and are especially motivated by founding SDR environments where they can help build the pipeline engine from scratch.”
Principal Systems Engineer specializing in ML, computer vision, and intelligent sensing
Mid-level Machine Learning Engineer specializing in deep learning, MLOps, and real-time inference
Entry-Level Software Engineer specializing in cloud infrastructure and full-stack development
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and recommendation systems
Mid-level trader and product manager specializing in event-driven investing
Junior Data Infrastructure Software Engineer specializing in analytics pipelines
Intern Product & Analytics professional specializing in SaaS, LegalTech, and Healthcare IT