Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in cloud, microservices, and AI/LLM systems
Mid-Level Full-Stack Software Engineer specializing in cloud-native web apps and PDF/canvas tooling
Mid-Level Full-Stack Software Engineer specializing in SaaS logistics and cloud-native systems
Mid-level Data Engineer specializing in cloud data platforms and real-time pipelines
Junior Backend/Systems Engineer specializing in distributed systems and security
Senior AI/Software Engineer specializing in cloud security and AI-powered applications
Senior Full-Stack Engineer specializing in Python, cloud-native microservices, and React
Junior Data Engineer specializing in Azure, CRM data pipelines, and marketing personalization
“LLM/AI engineer who has deployed production RAG conversational analytics and Text-to-SQL systems over Snowflake and curated data marts, emphasizing enterprise-grade guardrails for accuracy, security, and cost. Notable for a structured approach to reducing hallucinations (curated metric/table registry, SQL validation, RBAC, and citation-backed responses) and for building resilient, observable multi-step agent workflows using LangChain/LlamaIndex and Airflow.”
Director-level IT Recruitment & Staffing Leader specializing in global delivery and vendor management
“Talent Acquisition/Recruiting Operations leader with 22 years of experience managing large onsite/offshore teams (100+ at peak) and running VMS-driven delivery for multi-industry accounts (telecom, health insurance, retail). Has implemented ATS-based resume databases and reporting dashboards to improve turnaround time, productivity tracking, and coverage planning across multiple client/vendor relationships.”
Senior Full-Stack Developer specializing in JavaScript, cloud microservices, and scalable web apps
“Frontend engineer who has led end-to-end warehouse and support tooling products, including a Raspberry Pi/Arduino-driven sorting UI that guides staff via bin LEDs. Built a React+TypeScript internal support dashboard with real-time order/shipping updates and AI-assisted ticket response suggestions (integrating models like OpenAI, Grok, Veo, and Google Gemini for image understanding), plus a voice-command workflow to create/search tickets hands-free.”
Intern Full-Stack/Backend Engineer specializing in cloud-native APIs and event-driven systems
“Backend-focused engineer who built an academic AI voice assistant with a Python microservice-style backend (speech recognition, spaCy-based NLP, and Kafka-driven automation) optimized to sub-500ms latency. Also has Sodexo internship experience deploying containerized services across Kubernetes/AWS ECS/Azure using ArgoCD GitOps, including solving config drift and secret-management challenges and supporting cloud-to-on-prem migrations with blue-green rollouts.”
Senior Software Engineer specializing in Backend Systems and Generative AI (RAG)
“Backend engineer with experience building an end-to-end civic tech AI platform that ingests city council meeting videos, transcribes them with Whisper, and enables natural-language Q&A via a LangChain/FAISS RAG pipeline. Demonstrated strong systems thinking by tuning retrieval for accuracy/latency/memory (cutting response time ~3s→1s and memory ~500MB→25MB) and by safely migrating an ERP from monolith toward services using dual writes, reconciliation, and idempotency to protect financial workflows.”
Mid-level Python Full-Stack Engineer specializing in AI microservices and cloud data platforms
“Backend-leaning full-stack engineer in fintech/payments who shipped an end-to-end Stripe payments + webhook system for a financial microservices platform, emphasizing ledger accuracy via idempotency, transactional writes, retries, and DLQs. Also delivered a real-time React/TypeScript payment status dashboard informed by user interviews, and improved production performance by 35% p95 latency through PostgreSQL tuning and Redis caching on AWS.”
Mid-level Software Engineer specializing in integrations and automation
“Union College robotics graduate with hands-on ROS experience building an independent “waiter bot” that took spoken orders (Mozilla DeepSpeech), used OpenCV, and navigated via SLAM on a TurtleBot with LiDAR. Also led the Union College Robotics crew for four years and implemented PID control for micromouse maze robots; has additional software deployment experience with Dockerized FastAPI and CI/CD from coursework.”
Senior XR Solution Architect & Unity Developer specializing in AR/VR applications
“Unity VR developer who has shipped Meta Quest titles both independently (handling art, engineering, marketing, and self-publishing) and on teams focused on architecture and code. Recently worked on a multi-user VR experience using haptic gloves and holopotation, solving Photon multiplayer bandwidth issues by compressing high-volume data and implementing custom sync strategies. Also experiments with integrating LLMs into Unity for NPC interaction and uses AI tools pragmatically for straightforward tasks.”
Intern Data Scientist specializing in machine learning, NLP, and LLM fine-tuning
“Built a production-style AI meeting summarization and action-item extraction system (Azure Speech-to-Text + transformer summarization/NER) exposed via a Flask REST API, with explicit guardrails to prevent hallucinated tasks. Strong focus on reliability: modular agent/workflow design, precision-first evaluation with human-validated golden notes, and practical orchestration patterns (tool-augmented agents; ready to scale into Airflow/LangGraph/Prefect).”
Mid-Level Software Engineer specializing in full-stack and cloud-native systems
“Backend/full-stack engineer who owned a cloud-native, AWS-based microservices backend for an HRIS product used by ~10,000 users, including onboarding and workflow orchestration. Strong production focus on event-driven architecture, idempotency/retries, observability, and developer-friendly API design (OpenAPI, versioning, JWT), plus hands-on Selenium automation for resilient checkout-style flows.”
“Open-source JavaScript contributor who diagnosed and fixed a memory leak in an infiniteQueries module using Chrome DevTools, adding useEffect cleanup and weak references to cut memory usage by 32% and close 18+ GitHub issues. Also strengthens quality via unmount-focused tests and CI performance validation, and improves developer adoption by adding real-world infinite scrolling examples to React Query documentation.”
Junior Software Engineer specializing in distributed systems and low-latency backends