Pre-screened and vetted.
Mid-level Mobile Front-End Developer specializing in React Native apps
“Mobile/frontend engineer with hands-on ownership of major app initiatives, including migrating a telecom app from Ionic to React Native using an MVVM architecture and Jest unit testing. Built complex airline app experiences in React + TypeScript (booking, seat maps, Stripe payments) and improved maintainability by replacing a complex Redux-like booking flow with a simpler Context-based system; experienced working both as a solo mobile developer and within Agile teams using Jira/Notion.”
Junior Software Engineer specializing in Python, SQL, and technical support
“Frontend-focused early-career developer who led a student club web app from stakeholder discovery and Figma UX/UI through a scalable React + TypeScript build, emphasizing accessibility, reusable components, and tight API alignment with backend. Also has freelance experience translating non-technical client needs into polished sites (including Wix) and has refactored/optimized an existing codebase for maintainability and performance.”
Intern AI/ML Engineer specializing in LLMs, RAG, NLP, and MLOps
“Built and deployed a production RAG-based internal document Q&A system using LangChain, vector search, and a dockerized FastAPI LLM service. Focused on reliability by systematically reducing hallucinations and improving retrieval through prompt grounding/abstention strategies, chunking and top-k tuning, and iterative evaluation with logged metrics and manual validation.”
Junior Full-Stack Software Engineer specializing in cloud-native web apps and APIs
“Built a voice-driven desktop assistant for users with mobility impairments, integrating Whisper and Google Gemini and adding voice-authentication via speaker embeddings for secure command execution. Has hands-on experience with AWS serverless/microservices patterns (Lambda, S3, CloudFront, CloudWatch) and CI/CD, plus built an internal MySQL-to-MongoDB migration tool used by the CTO and dev team with an emphasis on safe, low-impact data transformation.”
Mid-level Backend Engineer specializing in Python APIs, event-driven systems, and Kubernetes
“Backend Python engineer who owned a real-time manufacturing insights streaming service, building FastAPI async microservices with Kafka-style queue buffering, batching/backpressure, and a low-latency snapshot store. Led a serverless-to-Kubernetes (EKS) migration at UGenomeAi using GitOps-style GitHub Actions pipelines, standardized config/secrets, and improved deployment consistency with pinned dependencies and multi-stage Docker builds.”
Junior Software Engineer specializing in web and mobile development
“Application-focused engineer who has shipped end-to-end products across mobile and web, including a music-based dating app feature for sending searchable/previewable songs in chat and a geospatial events service integrating external APIs. Demonstrates strong product + engineering instincts: performance-minded PostgreSQL modeling, Dockerized deployments with env-based config, and UX/accessibility polish backed by user studies, plus hands-on incident mitigation using Vercel logs.”
Mid-level Full-Stack Python Developer specializing in AI/ML and backend APIs
“Python/Django backend engineer with open-source experience upgrading Archivematica to Django 4.2 LTS, including resolving a tricky breaking change in datetime parsing by implementing a preservation-safe legacy timestamp conversion layer. Also built a cost-efficient, reproducible Small Language Model (Microsoft Phi-3) fine-tuning pipeline that turns CSV product data into a domain-specific searchable Q&A chatbot, with emphasis on memory optimization and overfitting prevention.”
Mid-level Full-Stack Software Engineer specializing in cloud-native web apps and AI agents
“Full-stack system analyst/programmer at PeakPlay Sports (startup) who built an AI "coach" product end-to-end in ~2 months, using a LangGraph-orchestrated multi-agent architecture with a FastAPI backend. Shipped production RAG grounded in athlete history (OpenAI embeddings + vector store) with guardrails and a structured eval loop (golden set + LLM-judge + human review) to improve engagement and reduce hallucinations.”
Junior Full-Stack Developer specializing in React, Node.js, and AI/LLM integrations
“Full-stack developer who owned and shipped an end-to-end web application for LeafNBeyond (React/Node/Postgres), deployed to production at leafnbeyond.com, with reported 35% sales growth and strong UX feedback. Also built Azure-based ETL pipelines using lakehouse/medallion architecture with validation and retry logic, and has AWS fundamentals from a master’s coursework (EC2, RDS, IAM, load balancing).”
Intern Full-Stack Software Engineer specializing in Healthcare IT
“Student full-stack builder shipping real products: a mobile app (Sirat) where they delivered end-to-end theme settings with testing and fast post-launch fixes, and a sports web app (Scorva) that generates AI game summaries from game stats with Postgres-backed caching to control LLM costs. Available for full-time work starting June 2026 and targeting $95k–$110k.”
Junior Backend & Full-Stack Engineer specializing in Python/FastAPI and cloud services
“Robotics software contributor from Binghamton University’s drone research lab who built a Dockerized, multithreaded Python control stack integrating Crazyflie firmware for low-latency, real-time coordination of multiple drones. Hands-on with telemetry/command pipelines, profiling and control-loop optimization, and wireless comms using CrazyRadio PA.”
Junior Full-Stack Developer specializing in React, Node.js, and AI-powered web apps
“Robotics software engineer with ROS 2 Humble/Nav2 experience on a warehouse robot fleet, focused on improving throughput in dynamic human environments. Implemented C++ local-planner and velocity-control changes using LiDAR-based motion prediction and real-time costmap tuning under a 20ms control loop, and built a Gazebo digital twin with custom failure-injection plugins plus Docker/Kubernetes deployment tooling.”
Junior Full-Stack Developer specializing in GenAI-powered web and mobile apps
“Web3 creator-led growth and community builder who frames crypto as infrastructure and designs content to drive measurable on-chain behavior. Uses X-native distribution (threads, replies, quote-tweets) paired with interactive CTAs and on-chain dashboards to convert attention into trust and product usage, with a structured 90-day plan for launching and scaling protocol communities.”
Junior AI & Data Engineer specializing in ML systems, ETL pipelines, and GenAI
“LLM/RAG engineer at Connex AI who built and deployed a production healthcare agent to extract clinical insights from medical data/notes. Strong focus on real-world reliability—hallucination mitigation (citations, schema validation, confidence thresholds, rejection logic), custom LangChain orchestration (query rewriting, fallback paths), and production evaluation/observability—while collaborating closely with clinical SMEs to ensure clinical fit and time savings.”
Mid-Level Software Developer specializing in game development and real-time 3D tools
“Unity developer with hands-on gameplay and systems experience, including a custom solution that made 3D characters feel properly grounded in a 2D isometric, grid-based combat game. Has worked with Photon/Unity Networking and solved mobile multiplayer customization challenges by syncing character looks via ID-based assets and runtime download/construction; also uses ChatGPT for placeholder art and targeted coding research.”
Junior Full-Stack Software Developer specializing in React, .NET, and Firebase
“Frontend engineer focused on scalable React + TypeScript dashboards and workflows, using feature-based architecture and a reusable component/hook approach. Has hands-on experience improving performance in table-heavy admin UIs (pagination, lazy loading) and shipping major features quickly with staging/manual QA, gradual rollouts, and rapid iteration based on production feedback.”
Junior AI/ML Engineer specializing in GenAI, RAG, and full-stack ML systems
“Built a university campus assistant chatbot (BabyJ/WWJ) using RAG and agentic routing with a FastAPI + React stack and JWT auth, focusing heavily on production concerns like latency and reliability. Uses techniques like speculative prefetching, smart intent routing, and rigorous eval/testing (golden sets, regression, edge cases) while collaborating closely with campus admin/advising teams to iterate based on real user feedback.”
Junior Software & AI Engineer specializing in cloud-based AI applications
“AI/LLM engineer with production experience delivering large-scale RAG and voice-agent solutions for banking clients. Implemented a SharePoint-based, non-technical content update workflow with incremental hourly ingestion into a vector DB, and actively contributes to Microsoft’s open-source GPT-RAG accelerator while using modern orchestration (Semantic Kernel, LangGraph) and LLM observability/evaluation tooling.”
Junior Full-Stack Software Engineer specializing in scalable web services
“Software engineering intern who built and deployed a full-stack telemedicine platform (React/Node/MongoDB) used daily in a pediatric clinic, incorporating PyTorch-based predictive features. Demonstrated strong customer-facing iteration and production performance debugging—resolved a live slowdown by indexing/optimizing MongoDB queries and adding caching, improving response times by ~50%.”
Junior QA Engineer specializing in manual and automation testing
“Aspiring Console QA candidate with hands-on PlayStation and Nintendo Switch testing instincts developed through deep gaming experience (edge-case inputs, handheld vs docked comparisons, online play smoothness). Has delivered under tight deadlines on a small-team project and has practical experience using internal AI tools to draft test documentation and analyze report/feedback data to identify patterns and prioritize issues.”
Mid-Level Software Engineer specializing in Healthcare Data Platforms
“Backend/ML engineer with healthcare domain experience building secure Medicare/Medicaid data APIs and real-time patient risk scoring. Shipped an end-to-end ML pipeline (scikit-learn/XGBoost) served via SageMaker and integrated into Flask APIs, with strong production reliability practices (Kafka schema validation, regression replay, observability, drift monitoring, and human-in-the-loop guardrails).”
Mid-Level Full-Stack Software Engineer specializing in web platforms and microservices
“Full-stack engineer at Srasys Inc. who built and owned production payments/checkout for an e-learning platform serving 5,000+ users using Next.js App Router + TypeScript. Deep focus on correctness and reliability (Stripe webhooks, signature validation, DB-level idempotency) plus measurable performance wins (~40% latency reductions) through Postgres indexing/EXPLAIN ANALYZE and Redis-backed caching with CloudWatch monitoring.”
Mid-level Full-Stack Software Engineer specializing in SaaS and AI-enabled platforms
“Built and shipped production AI features in the automotive dealership domain, including an end-to-end computer-vision damage detection system for trade-ins and a tool-calling, RAG-enabled LotSync AI Agent that answers inventory/VIN questions using strict schemas and internal APIs to avoid hallucinations. Also developed a Dagster + Oracle automated reporting pipeline as a Graduate Research Assistant, supporting 15+ university departments with normalized, reliable ETL workflows.”
Junior Full-Stack Software Engineer specializing in web apps and compiler construction
“Early-career/out-of-college CS candidate with practical backend-adjacent experience in a wine storage business: helped shift client intake from Constant Contact to a website form and supported an internal migration to Storable Edge with Dropbox-based backups. Also has academic experience debugging a custom programming language/type system, catching an edge case that broke type definitions and caused crashes.”