Pre-screened and vetted.
Junior AI Engineer specializing in ML, LLM systems, and RAG
“Built and deployed an LLM/applied-ML system enabling efficient extraction of useful information from large unstructured multimodal datasets, owning the full pipeline from ingestion to inference and APIs with a strong emphasis on production reliability, latency, and monitoring. Also delivered a voice-based AI workflow for Hindi policy document access for the Election Commission of India by translating non-technical usability needs into iterative demos and a successful implementation.”
Senior Full-Stack Software Engineer specializing in cloud-native web platforms
“Engineer with startup experience who emphasizes disciplined Agile execution (requirements analysis, Jira tasking, sprint planning) and production readiness (testing/QA/PR review). Uses profiling/logging for high-observability debugging and prioritizes incidents by impact. Has demoed engineering processes and worked directly with a client (Canadian music service) to position product capabilities and future extensions to drive adoption.”
Intern Robotics & Autonomous Driving Engineer specializing in ROS and computer vision
“Robotics software engineer with multi-robot perception and ROS integration experience, including work on CoLoc-Net improving global visual descriptors (DINOv2-SALAD style) and training a metric head for scale-aware 3D pose/odometry with a UKF backend. Built a ROS node/GUI to synchronize monocular vision and radar outputs at ITRI, and independently created a custom camera driver to enable reliable image sharing across AgileX Limo robots under real hardware constraints.”
Mid-level Software Engineer specializing in LLM, RAG, and cloud AI
“Recent master’s graduate who led a team project building an LLM-based chatbot with RBAC-controlled information disclosure and a focus on reducing hallucinations. Also has hands-on embedded robotics experience (Arduino obstacle-avoiding robot using ultrasonic sensors) and practical DevOps/cloud deployment exposure with Docker, Terraform, Jenkins, and AWS (EKS/ECS/CodePipeline).”
Senior Software Engineer specializing in AI/ML and cloud-native microservices
“Backend/platform engineer with production experience building a Python SDK over a microservices ecosystem, emphasizing reliability (JWT auth, retries/timeouts, custom exceptions) and integration testing. Has delivered AWS EKS microservices with Jenkins+Helm CI/CD, strong secrets/config separation using AWS Secrets Manager, and set up Datadog APM/deployment/change monitoring. Also modernized legacy VB applications to C#/.NET WPF via incremental migration with parity testing and stakeholder sign-off.”
Junior AI/ML & Full-Stack Engineer specializing in LLMs and RAG systems
“Forward-deployed engineer who built a production AI drone-control chatbot that lets users fly a drone via natural language while viewing a real-time feed. Implemented RAG over drone SDK documentation (vector DB + top-k retrieval) and LoRA fine-tuning, with a focus on latency, token efficiency, and cost reduction, and regularly works with non-technical clients to integrate and explain AI system architecture.”
Intern AI/ML Engineer specializing in computer vision and time-series forecasting
“Undergrad who built a production RAG chatbot for a messy college website using OpenAI embeddings + FAISS, overcoming hard-to-crawl/non-selectable site content and strict API budget limits. Applies information-retrieval best practices (section-based chunking with overlap, precision/recall evaluation) and reliability techniques (edge-case testing, similarity thresholds, fallback responses), and has experience scaling similar indexing work to ~300,000 Wikipedia pages.”
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps
“Built a production RAG-based healthcare chatbot to retrieve patient medical documents spread across multiple platforms, reducing manual and error-prone searching. Implemented semantic search with custom embeddings (Hugging Face) and Pinecone, deployed via FastAPI/Docker on AWS SageMaker with MLflow tracking, and optimized fine-tuning cost using LoRA while orchestrating retraining pipelines in Airflow.”
“Unity VR programmer with multiple shipped Meta Quest titles (including Lead Programmer on Infinite Inside), spanning core architecture, interactions, Addressables, and localization. Also independently designed/programmed/directed the commercial Steam release Zellige: The Tilemaker of Granada, managing a 10-person team and earning positive coverage from Rock Paper Shotgun.”
Mid-level Gameplay Programmer specializing in AAA and VR narrative games
“Unity developer with hands-on Meta Quest VR experience from a funded prototype for Meta, including on-headset testing, custom debugging tools, interaction-heavy mechanics, and performance optimization. Recently served as the sole developer on a multiplayer card-game-inspired Unity prototype, delivering a playable demo in ~2 months with extensible ScriptableObject-driven systems and an abilities framework.”
Mid-level Machine Learning Engineer specializing in LLM platforms and robotic perception
“Built and shipped a production multi-agent personal financial assistant at AlphevaAI on AWS ECS, combining FastAPI microservices, Redis/SQS orchestration, and Pinecone-based hybrid RAG (semantic + BM25) to ground financial guidance. Improved routing accuracy with an embedding-based SetFit + logistic regression intent classifier feeding an LLM router, and optimized UX with live streaming plus cost controls via model tiering and caching.”
Junior Machine Learning Engineer specializing in NLP, computer vision, and MLOps
“ML/LLM engineer with Meta experience building production AI systems for near real-time user-report classification and summarization under strict latency (<250ms), safety, cost, and privacy constraints. Has hands-on MLOps/orchestration experience (Airflow, Spark, MLflow, Kubernetes, Docker, GitHub Actions) plus observability (Prometheus/Grafana) and applies rigorous evaluation, staged rollouts, and A/B testing to keep agent workflows reliable in production.”
Senior Front-End Developer specializing in React/Angular and cloud-native healthcare apps
“Senior/Lead Frontend/Full-Stack engineer in Toronto with proven experience shipping high-stakes, real-time and regulated products across healthcare, legal/compliance, and fintech. Built a real-time compliance dashboard that survived a 400% data spike and a no-code workflow builder supporting 500+ nodes, with strong emphasis on performance engineering, type-safe architecture, and automated quality/rollout practices.”
Junior Full-Stack Software Engineer specializing in TypeScript/React and microservices
“Software engineer who built and owned an internal workflow automation + analytics platform end-to-end (TypeScript/React/Node) with a microservices, RabbitMQ-based async architecture. Drove adoption by shipping iterative prototypes and prioritizing reliability/performance (Redis caching, query optimization), delivering ~30–35% latency improvements and ~30–40% reduction in manual operational work.”
Senior Unity/XR Developer specializing in AR/VR and AWS-backed real-time experiences
“Unity XR developer who has shipped multiple Meta Quest apps, including an NHS medical training VR simulation where realistic, consultant-validated interaction mechanics and highly configurable systems were critical. Also built and shipped a solo indie AR product ("Eugene's AR Wiki") end-to-end, supporting a wide range of iOS/Android devices and incorporating analytics, interactive content, and engagement features like word games and face filters.”
Mid-level Full-Stack Developer specializing in microservices and cloud-native web apps
“Frontend engineer who has led customer-facing web products end-to-end, with strong emphasis on scalable component architecture, design systems, and automated quality gates (CI + unit/integration/E2E). Experienced building complex React+TypeScript dashboards with thoughtful state separation and shipping fast via feature flags/canary releases while monitoring and optimizing real-world performance issues.”
Senior Unity Developer specializing in multiplayer gameplay and cross-platform systems
“Senior gameplay/core systems Unity programmer with hyper-casual mobile experience (Neon Play with Voodoo analytics partnership) and shipped F2P engagement mechanics like battle passes and reward/store loops. Built an optimized networked physics replication layer in Unity (compression, batching, interpolation/prediction) leveraging Jobs/Burst for scale, and has collaborated closely with designers, audio (FMOD), and international art teams on projects including Southfield and the Gorillaz Kong project.”
Junior Machine Learning Engineer specializing in NLP and multimodal transformers
“Built and deployed LLM-powered agentic chatbot and text-to-SQL systems using LangGraph/LangChain (and Bedrock), structuring workflows as DAGs with planning/replanning and validation to improve tool-calling reliability and reduce hallucinations. Operates production feedback loops with online/offline metrics, drift detection, and LangSmith-based evaluation pipelines, and regularly partners with business stakeholders and clinicians using slide decks and visual charts.”
Senior Frontend Engineer specializing in scalable consumer apps and micro frontends
“Frontend engineer focused on React/TypeScript dashboards for manufacturing-cycle analytics (downtime/wait time/cycle time). Has hands-on experience building reusable charting components (JSON-to-graph) with React ECharts, scaling data flows with Redux/RTK Query, and refactoring monolithic UI code into modular components while shipping on a ~3-week release cadence.”
Mid-level Full-Stack Developer specializing in Java, Spring Boot, and Angular
“Full-stack engineer who modernized mission-critical legacy COBOL/AS400 systems into a Java + Angular/TypeScript web application, owning backend APIs, UI, database performance tuning, and JWT security end-to-end. Built and transitioned an internal docketing/hearing scheduling system with complex business rules, emphasizing smooth adoption, performance, and quality through phased agile delivery.”
Mid-Level Full-Stack Software Engineer specializing in cloud-native and mobile applications
“LLM-focused engineer with end-to-end experience shipping an OpenAI-powered edtech teacher assistant into production, using Humanloop-driven prompt iteration, rigorous observability (Datadog), and A/B testing tied to real learning metrics (25% comprehension lift). Also led adoption-driving technical demos at SiriusXM (event-driven AWS Lambda/Kotlin/CDK pipeline cutting processing from 24 hours to seconds) and partnered with sales at Spresso.ai to close eCommerce SDK deals and boost activation from 40% to 85%.”
Mid-level Full-Stack Developer specializing in cloud-native APIs and data workflows
“Built and owned end-to-end ordering and inventory/order management systems for a wholesale distributor, delivering an MVP quickly and iterating based on direct observation of daily users. Experienced with TypeScript/React + Node.js layered architectures and microservices using RabbitMQ, including real-world scaling issues (duplicates, backpressure) and observability practices (correlation IDs, structured logging).”
Mid-level .NET Backend Developer specializing in secure APIs and enterprise integrations
“Built and owned UPS tracking/reporting and operations workflow dashboards, delivering customer-facing APIs and real-time React/TypeScript UIs backed by .NET Core. Experienced in high-volume microservices using IBM MQ/Azure Service Bus with strong reliability patterns (idempotency, retries, DLQ) and Azure-based observability, plus performance tuning across frontend and SQL-backed services.”
Mid-level Full-Stack Software Engineer specializing in Java/Spring Boot, React, and cloud
“Backend/platform engineer who built real-time connected-vehicle telemetry analytics at Subaru, spanning Kafka streaming, Python/FastAPI ETL, and low-latency WebSocket delivery (minutes to <2s). Strong Kubernetes + GitOps practitioner across AWS EKS and Azure AKS (Helm, ArgoCD, Jenkins/GitLab) and has led major on-prem-to-cloud migrations for financial microservices using Terraform and AWS DMS with measurable cost and reliability gains.”