.png){kind=logo}
Vetted Software Engineers in the DMV
Pre-screened and vetted in the DMV.
Staff/Tech Lead Full-Stack Java Engineer specializing in cloud-native distributed systems
Executive Technology Leader specializing in Enterprise SaaS, Cloud, and Digital Transformation
Senior Software Engineer specializing in backend systems, cloud infrastructure, and compliance platforms
Principal Unity Engineer specializing in VR, mobile, multiplayer, and LLM-integrated gameplay systems
Mid-level Software Engineer specializing in cloud-native and LLM-driven systems
Senior Technical Product Manager specializing in e-commerce, logistics, and FinTech
Senior Software Engineer specializing in cloud-native full-stack platforms
Mid-Level Software Engineer specializing in cloud-native microservices and GenAI document automation
Senior Full-Stack Software Engineer specializing in Python backends and React frontends
Mid-level AI Engineer specializing in agentic GenAI and cloud MLOps
Mid-Level Full-Stack Software Engineer specializing in Java, Spring Boot, and React
Junior Front-End/Full-Stack Software Engineer specializing in accessible web applications
Staff-level Backend/Platform Engineer specializing in payments, risk, and scalable microservices
Vineet Jujjavarapu
Mid-level Software Engineer specializing in cloud-native data platforms
“Software engineer with hands-on experience using AI coding assistants and LangChain-based agent workflows in RAG/LLM projects. Stands out for combining practical multi-agent experimentation with strong grounding in system design, distributed systems, and production-minded validation of AI-generated outputs.”
Evan Teague
Senior Software Engineer specializing in backend and data platforms
“Series A startup engineer with broad full-stack ownership across backend, data, and frontend, including a real-time ingestion platform that scaled to 10x higher daily volume without downtime while cutting latency from minutes to seconds. Brings strong fintech and B2B SaaS experience building auditable, high-throughput systems for analysts, operations, and compliance teams in regulated environments.”
Bryan West
Senior Software Engineer specializing in AI, cloud infrastructure, and full-stack development
“ML/NLP engineer who built a production system that converts large-scale unstructured text into a connected, searchable knowledge base using spaCy + Sentence Transformers/FAISS and a Neo4j knowledge graph, with BERTopic and XGBoost for organization/labeling. Strong focus on production-grade Python workflows (FastAPI/Celery, Pydantic validation, Docker, AWS ECS/Lambda) and robust entity resolution with measurable precision/recall and human review for low-confidence matches.”
Paul Pesnell
Mid-Level Full-Stack Software Engineer specializing in automation and systems administration
“Backend-focused engineer with financial domain experience who built Java REST APIs for data entry/validation and implemented strong testing, alerting, and rollback practices for production reliability. Has hands-on experience automating legacy manual processes with Ansible and troubleshooting AWS EKS/OpenShift deployments via CloudFormation in a permission-constrained enterprise environment; comfortable with occasional onsite meetings in Bethesda, MD.”
Sai V
Mid-level Software Engineer specializing in backend systems and FinTech
“Built an internal RAG assistant for financial documents using FastAPI, OpenAI APIs, and vector search, improving document search speed and reducing manual effort for the business team. Stands out for a pragmatic approach to AI engineering: uses AI heavily for productivity, but keeps human judgment central and has designed retrieval, validation, and summarization workflows end-to-end.”
Akhil Poreddy
Mid-level Full-Stack Software Engineer specializing in Python, AI/ML, and FinTech
“Developer with a pragmatic, disciplined approach to AI-assisted coding: uses tools like Copilot, ChatGPT, and Gemini to speed up debugging, optimization, unit testing, and documentation while maintaining ownership of design and code quality. Interested in expanding from single-agent workflows into multi-agent setups for larger coding tasks and stays current through hands-on use and AI ecosystem updates.”