Pre-screened and vetted.
Intern Data Scientist specializing in GenAI agents, RAG, and ML platforms
“LLM/agent systems builder who deployed a production hybrid router for immerso.ai that dynamically selects retrieval vs reasoning vs generative pathways, achieving an 82% factual-accuracy lift. Deep hands-on experience optimizing local Mistral 7B inference (4–5 bit GGUF quantization, KV-cache reuse) and building reliable RAG/agent workflows with LangChain/LangGraph/AutoGen across GCP Cloud Run and AWS (ECS/Lambda).”
Mid-Level Software Developer specializing in .NET web applications on Azure
“Full-stack developer who built an end-to-end billing/allocation/payment and reporting system used daily by a major film-industry union, including queuing-based check assignment, admin auditing, data cleanup tools, and an external reports portal. Also delivered a factory production scheduling/analytics app for a lock manufacturer, and typically implements APIs in C#/.NET with DTO shaping and pub/sub messaging for microservices consistency.”
Executive CTO / Principal Software Engineer specializing in cloud, mobile, and blockchain
“Engineering/CTO-style leader with hands-on architecture experience who has driven end-to-end modernization of a manual antiques auction operation—building centralized web-accessible data systems, digitizing historical records via OCR/freelancers, and defining profitability-focused KPIs with an eye toward predictive modeling. Emphasizes provider-agnostic, containerized SaaS architecture to avoid vendor lock-in and has experience scaling a small engineering team with ownership-based culture and lightweight processes.”
Senior QA Automation Engineer specializing in end-to-end test automation for FinTech and automotive platforms
“QA Engineer with 8 years owning end-to-end quality on high-traffic, live fintech and automotive platforms (Fuse Autotech), specializing in critical financial and e-signing workflows. Combines API testing (Postman), log observability (Kibana/Logz.io), and disciplined Jira/Xray processes to accelerate triage and shorten release cycles (1 week to 3 days) while reducing production issues and integration/regression defects with measurable impact.”
Junior Software Engineer specializing in full-stack web development and test automation
“Full-stack engineer who built and owned a production workflow/kanban-style drag-and-drop system in Next.js (App Router) with Postgres/Prisma, including reusable component abstractions, Cypress E2E coverage, and post-launch performance/bug ownership. Notable for measurable impact (25% faster UI dev, ~30% query perf improvement) and for leading an incremental Express→NestJS migration that reduced technical debt (~40%) through better structure, docs, and team enablement.”
Junior Full-Stack Software Engineer specializing in cloud-native web apps and AI tooling
“Software engineer with experience across edtech, live gaming, and an AI document intelligence platform, delivering end-to-end customer-facing features and production backends. Built secure, automated live-session scheduling integrating Zoom and TalentLMS (JWT/RBAC, idempotency, transactions) cutting setup time from ~3 minutes to under 1 minute, and optimized real-time gaming dashboards/APIs with query tuning, caching, and CDN improvements (~60% latency reduction under peak load) on AWS.”
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 Full-Stack Engineer specializing in AI-powered and cloud-native systems
“Product-minded engineer who has owned features end-to-end, including a full onboarding redesign that lifted completion ~25% and a production LLM/RAG report-generation system with strong guardrails (schema-constrained JSON, confidence gating, logging) and an automated eval/regression loop built from real user queries. Also built a scalable research data pipeline ingesting messy PDFs/JSON/CSVs with normalization, idempotent reruns, observability, and cost/latency tradeoffs.”
Junior Full-Stack Software Engineer specializing in mobile, cloud, and GenAI integration
“Software engineering intern with hands-on ownership of a Java/Spring Boot order management microservice, including production performance tuning via Redis caching and database indexing driven by API logs/metrics. Also contributed to a production mobile-backend LLM feature using RAG with embeddings over structured data and documents (DB + object storage), with guardrails to keep responses grounded.”
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.”
Mid-Level Software Engineer specializing in cloud-native microservices and full-stack development
“Full-stack engineer with deep startup experience building products from scratch under ambiguous requirements. Delivered a scalable, admin-configurable notification platform (Spring Boot/Java/Kafka) supporting 50+ notification types across 3 channels for 10k+ users, cutting new notification setup to ~5 minutes. Also built a Tinder-meets-LinkedIn job-swiping app (React/TS + Node/Prisma) and has hands-on AWS production ops (ECS/EKS, RDS, CloudWatch) plus multiple third-party integrations (Stripe, QuickBooks, Twilio).”
Senior Full-Stack Engineer specializing in React and Python
“Backend/data engineer focused on production AWS systems: builds multi-tenant FastAPI services on ECS behind API Gateway/ALB with serverless orchestration (Lambda, SQS, Step Functions) and strong reliability practices (JWT/JWKS auth, idempotency, backoff retries, structured logging). Also delivers AWS Glue/PySpark ETL pipelines with schema/data-quality controls and has modernized legacy analytics logic into Python with parity validation; improved a key dashboard SQL query from ~12–25s to ~2–3s.”
Senior Full-Stack AI/ML Engineer specializing in MLOps and GenAI
“Senior backend/data engineer who has built and maintained HIPAA-compliant, real-time clinical FastAPI services on AWS, orchestrating ML/LLM and vector DB calls with strong reliability patterns (auth, timeouts/retries, graceful degradation, idempotency). Also delivered AWS IaC/CI-CD (Terraform/Helm/GitHub Actions) across EKS/Lambda/SageMaker and built Glue/Spark ETL with schema evolution and data quality controls, plus demonstrated large SQL performance wins (15 min to <9 sec) and hands-on incident ownership.”
Mid-Level Sound Designer & Composer specializing in Audio UX and interactive sound
“Music editor/composer and sound designer who treats audio as narrative—e.g., created a dialogue-free short film where music and SFX carried the story across multiple emotional chapters. Works across Ableton, Logic, and Pro Tools with iZotope RX for VO cleanup, and has adjusted mixes for YouTube/podcast retention (increasing music/SFX levels led to longer viewer watch time).”
Mid-Level Applied AI Engineer specializing in LLM services, RAG, and OCR/NLP extraction
“Backend/platform engineer who built and evolved a large-scale healthcare document processing system (OCR + LLM orchestration) in Python/FastAPI on Google Cloud (Cloud Run, GCS, Firestore), processing ~1.5M files per batch and tens of millions overall. Emphasizes reliability and operational safety via deterministic IDs, idempotent state machines, strong observability, and self-healing reconciliation, plus disciplined migrations using dual-run validation and incremental rollouts.”
Junior Backend Engineer specializing in cloud APIs and AI-enabled systems
“Built and shipped "OnCall Copilot," a production Slack-based RAG assistant that answers on-call questions from runbooks and postmortems with citations using a FAISS vector index. Emphasizes reliability and measurable performance via strict guardrails ("no evidence, no answer"), evaluation metrics, drift monitoring, and operational hardening with Docker, logging, health checks, and offline fallback.”
Mid-level Unity Game Developer specializing in F2P mobile and live games
“Unity developer with broad cross-platform experience (HTC Vive VR, iOS/Android, Nintendo Switch, WebGL) who built a near-solo multiplayer AR iOS party game using Photon/PUN and AR Foundation. Demonstrates strong practical networking and performance optimization skills, including lag compensation and client-side shader-based rendering strategies.”
Mid-level Full-Stack & XR Developer specializing in GenAI and immersive AR/VR systems
“Built and deployed a "personal second brain" product (CloneMind) with an end-to-end RAG pipeline for retrieving information across PDFs, URLs, images, and audio using Next.js/Node.js/Postgres/Supabase/Redis. Demonstrates strong practical depth in retrieval quality tuning, latency reduction via caching, and stateful orchestration with LangChain/LangGraph, plus experience persuading a non-technical professor stakeholder by shipping a working prototype.”
Mid-level Frontend Engineer specializing in React and Next.js
“Frontend engineer with healthcare product experience who led end-to-end delivery of therapist-facing dashboards and clinical workflows in React + TypeScript, including real-time data and multi-role complexity. Emphasizes scalable feature-based architecture, strong domain typing (discriminated unions/domain layer), and performance techniques (scoped state, selector subscriptions, virtualization) alongside disciplined rollout practices (feature flags, QA, monitoring).”
Mid-Level Software Developer specializing in API development and test automation
“Self-taught frontend developer with React/TypeScript project experience and strong QA background. Contributed as a QA tester on a Skunkworks web app by refining large story tickets, defining happy-path/edge test cases, and setting sprint metrics; also improved a legacy PHP web app by modularizing SFTP bulk upload code and enhancing page navigation.”
Junior Full-Stack Java Developer specializing in Spring Boot microservices and cloud DevOps
“Software engineer with hands-on production experience deploying Spring Boot services to AWS using Docker and Jenkins CI/CD, focused on stable releases, easy rollback, and performance improvements through monitoring/logging and query optimization. Has proven cross-layer troubleshooting skills (identified packet loss causing intermittent timeouts via network traces) and experience collaborating on-site with operators in industrial/IoT-style environments, including working alongside robotics/PLC teams.”
Junior Software Developer specializing in AI data labeling and full-stack web development
“Frontend-focused builder who has led multiple projects end-to-end, including a React/Vite/TypeScript weather app and an internal analytics dashboard optimized for large, time-based datasets. Also created and shipped AetherGrid, a full-stack Windows desktop app, iterating with 5–10 testers and implementing pixel-perfect native UI details plus installer/uninstaller packaging; mentions starting a full-time role at Meta.”
Mid-level Full-Stack Software Engineer specializing in FinTech
“Frontend tech lead for a university e-signature platform (Next.js/React/TypeScript) replacing paper-based signing. Built a trustworthy multi-signer PDF signing workflow with backend-as-source-of-truth state handling, strong quality gates (typed contracts, linting, pre-commit, PR reviews), and performance work like Web Workers for heavy PDF operations.”
Senior Full-Stack Developer specializing in Node.js/TypeScript, cloud, and data engineering
“Frontend/fullstack lead who inherited a messy psychological app with production issues, drove a rapid stabilization (2–3 weeks) and major performance/architecture overhaul (Redux Toolkit, memoization, caching, lazy loading, CDN offload to S3/CloudFront). Also owns delivery and infrastructure practices (multi-env, Docker, GitHub Actions CI/CD, AWS ECS + load balancing) and led a 1-week POC for an AI-powered trucking management system (app.neblo.ai).”