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Vetted System Design Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in backend microservices and network test automation
Mid-level Project Manager specializing in healthcare SaaS (EMR) implementations
Mid-level Full-Stack Developer specializing in FinTech microservices
Mid-Level Software Engineer specializing in cloud-native microservices
Senior Full-Stack Software Engineer specializing in cloud-native Java microservices
Mid-Level Backend Java Engineer specializing in microservices and cloud-native systems
Director-level Unity Technical Leader specializing in scalable multiplayer and VR systems
Senior Machine Learning Engineer specializing in Generative AI and LLM systems
Senior AI Engineer specializing in healthcare AI and full-stack intelligent systems
Senior Full-Stack Developer specializing in .NET, Azure, and enterprise platforms
Staff Software Engineer specializing in Java, cloud platforms, and distributed systems
Mid-level Software Engineer specializing in distributed systems and FinTech
Mid-level Software Engineer specializing in distributed backend systems for FinTech
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Director-level Engineering Leader specializing in cloud platforms, AI/ML, and scalable SaaS
Principal Automation Architect specializing in cloud DevOps, microservices, and MLOps
Prayasha Chaudhary
Senior Engineering Leader specializing in cloud architecture and AI-powered data platforms
“Hands-on startup operator with experience across three startups, including companies built from inception and a PEAK6-backed environment. Particularly compelling for early-stage roles: they have rebuilt technical foundations, scaled platforms during growth, and pair strong product ownership with a practical, user-validation-first approach to building scalable systems.”
Ankita Mungalpara
Mid-level Data Scientist specializing in Generative AI and multimodal systems
“Recent J&J intern who built a conversational RAG agent and led a shift from a monolithic model to a modular RAG workflow, cutting response time from several days to under a second by tackling data fragmentation, context retention, and embedding/latency optimization. Also worked on a large (7B-parameter) multimodal VQA pipeline for healthcare research and stays current via NeurIPS/ICLR and open-source contributions.”
Gurukiran Kasireddy
Mid-level Backend Software Engineer specializing in cloud-native distributed systems (Healthcare IT)
“Data engineer with healthcare domain experience who has owned end-to-end pipelines and APIs at UnitedHealth Group, processing ~8M records per batch. Strong focus on data quality (multi-layer validation), reliability (monitoring/logging, retries/idempotency), and performance (Spark/SQL tuning, caching), with experience standing up early-stage systems using Python, Docker, and CI/CD.”