Pre-screened and vetted in the DMV.
Mid Software Engineer specializing in FinTech and ML-powered backend systems
“Backend-leaning full-stack engineer who has shipped real-time, customer-facing dashboards and ticketing/payment features at Freshworks and Global Payments. Strong in Python API design (Django/Flask/FastAPI) and React/TypeScript UIs, with hands-on experience scaling PostgreSQL for high transaction volumes and operating services on AWS, including incident response and HIPAA-aligned security controls.”
Mid-level Software Engineer specializing in backend systems and applied AI
“Backend/full-stack engineer at Qualcomm who built and operated a drift monitoring platform for 10k+ edge AI models. Stands out for combining strong TypeScript/React/Node execution with production-grade systems thinking across PostgreSQL tuning, Redis caching, ECS deployments, and Kafka-based architectural improvements that measurably improved reliability and release speed.”
Senior .NET Full-Stack Developer specializing in Azure cloud and microservices
“Backend/data engineer with hands-on production experience building reliable Python FastAPI services on Kubernetes and delivering AWS EKS + Terraform CI/CD with strong secrets isolation and rollback practices. Also built AWS Glue ETL pipelines into S3/Redshift with schema-evolution handling and data-quality controls, modernized legacy analytics into modular Python services with parallel-run parity validation, and has demonstrated SQL tuning impact (minutes to seconds) plus ownership of batch pipeline incidents end-to-end.”
Mid-level Full-Stack Engineer specializing in cloud, SaaS, and AI-integrated products
Senior Full-Stack Java Developer specializing in cloud-native microservices
Mid-Level Backend Software Engineer specializing in cloud-native microservices and APIs
Senior Software Engineer specializing in full-stack platforms and FinTech workflows
Mid-level Full-Stack Engineer specializing in cloud-native microservices and FinTech
Mid-Level Full-Stack Software Engineer specializing in FinTech microservices
Junior Software Engineer specializing in full-stack and agentic AI systems
Junior Full-Stack Engineer specializing in low-latency video streaming
Junior Backend Software Engineer specializing in Java and Spring Boot
Mid-level Full-Stack Engineer specializing in AI and enterprise software
Entry-level Software Engineer specializing in full-stack FinTech consulting
“Frontend engineer with deep Angular and TypeScript expertise who spent about 1.5 years building a sophisticated rewards-program UI for a Fortune 500 financial services client serving over a million cardholders. Stands out for combining large-scale UI architecture, performance optimization, and nuanced state-driven UX thinking, with hands-on debugging experience in RxJS and strong opinions on type safety.”
Mid-level Machine Learning Engineer specializing in Generative AI and LLM applications
“GenAI engineer who has deployed production LLM/RAG chatbots for internal document search, focusing on reliability (hallucination reduction via prompt guardrails + retrieval filtering) and performance (latency improvements via caching). Experienced with LangChain/LangGraph orchestration for multi-step agent workflows and iterates using monitoring/logs and benchmark-driven evaluation while partnering closely with product and business teams.”
Mid-level Full-Stack .NET Developer specializing in healthcare and financial platforms
“Backend/ML systems engineer who built a Flask + PostgreSQL internal ticketing platform and demonstrates strong database/ORM performance depth (indexes, partitioning, RLS multi-tenancy). Notably optimized a high-throughput attachment OCR/embedding pipeline with batching, deduplication, and Redis caching, cutting median latency from 45s to 10s and reducing worker cost by 35% while increasing throughput 4x.”
Mid-level AI/ML Engineer specializing in LLMs, RAG, and enterprise MLOps
“Backend engineer who built an AI-driven "Smart Feedback Analyzer" API (Flask → FastAPI) that processes user feedback with NLP (Hugging Face + OpenAI) and returns structured insights. Demonstrates strong production-minded architecture: stateless services, Cloud Run + Docker deployment, Redis/Celery background processing, and Postgres/SQLAlchemy performance tuning (EXPLAIN ANALYZE, indexing, N+1 fixes), plus multi-tenant data isolation via JWT/API-key derived tenant IDs.”
Senior Software Engineer specializing in medical imaging and healthcare AI
“Early engineer at a 13-person pre-seed medical imaging startup who helped professionalize engineering practices and personally drove the software side of an FDA approval after stepping into a leadership gap. Also built a 3D MRI viewer and integrated AI-based tumor detection for clinician users, combining regulatory, backend, and frontend execution in a highly constrained startup environment.”