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Vetted Software Engineers in Washington
Pre-screened and vetted in Washington.
Austin Pierce-Ptak
Mid-Level Software Engineer specializing in full-stack and data/ETL systems
Sathvika Kasthuri
Mid-Level Software Engineer specializing in cloud, networking, and full-stack applications
Shirisha Nampally
Mid-Level Software Development Engineer specializing in Java, React, and AWS
Abhinav Reddy
Mid-Level Full-Stack Software Engineer specializing in Java/Spring microservices and React
Siddartha Gurugubelli
Mid-Level Software Engineer specializing in backend, cloud, and data engineering
Mounisha Regalla
Mid-level Software Engineer specializing in backend APIs and data pipelines
Sri Satya Venkatasai Vavila
Mid-Level Software Engineer specializing in cloud-native microservices and distributed systems
Abhishek Namdev Sawant
Mid-Level Backend Software Engineer specializing in Java microservices and cloud platforms
“Backend engineer with payments domain experience who built and operated a production-grade, event-driven payment processing platform (Java/Spring Boot on GCP, MySQL) and led reliability/performance fixes that cut peak latency by ~30%. Also shipped an applied ML capstone for the Archdiocese of Seattle, building end-to-end classification pipelines and Power BI dashboards to assess financial health and capacity utilization across 74 schools.”
Rushika Sirigadde
Mid-level Full-Stack Software Engineer specializing in Healthcare and Insurance platforms
“Full-stack engineer with healthcare and insurance domain experience who has owned production systems end-to-end (React/Next.js, FastAPI/Node, Postgres, AWS SNS/SQS, Docker, CI/CD) and delivered measurable impact (30% faster data processing). Also productionized an LLM-powered clinical data assistant using RAG + a vector database with guardrails and evaluation loops, cutting analyst lookup time by ~30–40%, and has experience modernizing monoliths to microservices with feature-flagged, low-regression rollouts.”
Ayushi Patel
Mid-level Software Engineer specializing in cloud data platforms and serverless ETL
“Data/ML engineer from HCLTech who modernized enterprise data by linking fragmented financial and supply-chain data across SAP/SQL Server/Snowflake using NLP entity linking and embeddings (FAISS). Delivered measurable impact including ~40% reduction in manual error-log triage and entity-linking accuracy improvements from ~86% to ~93%, with results surfaced in Power BI for real-time analytics.”
Arundhati Pathrikar
Mid-Level Software Engineer specializing in backend microservices and cloud infrastructure
Tanusha Nandam
Mid-Level Full-Stack Software Engineer specializing in LLM apps and MLOps
Swati Agrawal
Mid-level Software Engineer specializing in backend microservices, cloud infrastructure, and LLM agents
Mama Thomas
Junior Software Engineer specializing in full-stack web and applied ML
Sohana Badhon
Mid-Level Full-Stack Software Engineer specializing in microservices and Angular/.NET
Kevin-Sen Panasyuk
Entry-Level Game Designer specializing in level design, UI/UX, and prototyping
Srinivasan Gomadam Ramesh
Senior Software Engineer specializing in LLM agents and RAG pipelines
Skyler Long
Senior Software Engineer specializing in distributed systems and scalable SaaS platforms
Sreekar Reddy Nathi
Junior Software Engineer specializing in backend microservices and healthcare FHIR APIs
Nirali Mehta
Mid-Level Full-Stack Software Engineer specializing in cloud, microservices, and DevOps
Pericles Dantas
Mid-level Full-Stack Software Engineer specializing in Ruby on Rails and JavaScript SPAs
Scott Phillips
Senior Software QA & Data Systems Specialist in nuclear and regulated environments
Patryk Januszewski
Director-level Engineering Leader specializing in full-stack architecture and SaaS platforms
“Serial entrepreneur with 30+ years of professional software engineering experience who co-founded Food Truck Stars, initially a food-truck search engine and later pivoted into a catering marketplace to overcome adoption barriers. Validated the model by prototyping at car enthusiast events across the U.S. and turning a profit, using hands-on customer discovery with low-tech, time-constrained operators.”