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Vetted Operating Systems Professionals
Pre-screened and vetted.
Junior Full-Stack Software Engineer specializing in cloud-native microservices
Entry-level Full-Stack Engineer specializing in web applications and FinTech
Junior Software Engineer specializing in frontend and AI-powered web applications
Senior Full-Stack Developer specializing in cloud-native FinTech systems
Senior AI/Software Engineer specializing in multi-agent LLM orchestration and data engineering
Mid-level Full-Stack Java Developer specializing in cloud-native microservices and React
Intern Software Engineer specializing in backend microservices and cloud infrastructure
Junior Full-Stack Software Engineer specializing in data-driven web apps and cloud platforms
Intern software engineer specializing in full-stack, data engineering, and ML systems
Junior Software Engineer specializing in cloud infrastructure and Kubernetes
Entry-level Software Engineer specializing in AI systems and embedded computing
Intern Software Engineer specializing in AI, distributed systems, and cloud platforms
Emmanuel Ngalima
Mid-Level Software Engineer specializing in geospatial AI and cloud security automation
“Cloud engineer and cloud OS SME (Chevron) who productionized large-scale security remediation—using Tanium and Ansible to address CIS benchmark noncompliance across 5,000+ servers with robust logging and RCA handoffs. Also drives adoption of a geospatial AI refinery inspection product by consolidating siloed imagery into an enterprise geospatial database, and presents internally on agentic/LLM tooling (LangChain/LangGraph, LangSmith observability).”
Yash Sanjay Zaveri
Junior Software Engineer specializing in backend systems and AI automation
“Built and deployed an AI Copilot for Healthful Telehealth that helps dietitians generate personalized meal plans using patient data and real-time clinical context. Stands out for owning the full lifecycle—from workflow discovery and ETL/RAG architecture to production incident response and post-launch stabilization—while delivering roughly 30% gains in retrieval accuracy and latency.”
suparshwa patil
Mid-level Software Engineer specializing in AI platforms and full-stack systems
“Built and shipped a production AI-powered Q&A/RAG onboarding assistant at One Community Global that unified knowledge across Notion, Google Docs, and Slack, cutting volunteer onboarding time by 45%. Demonstrates strong end-to-end ownership: LangChain agent orchestration integrated into a FastAPI backend, rigorous evaluation (200-query dataset, ~85% accuracy), and production feedback/monitoring with source-attributed answers to build user trust.”
Joseph Lin
Intern Software Engineer specializing in full-stack development and applied AI
“Internship experience building an end-to-end medical AI pipeline that extracts and normalizes messy medical PDFs, fine-tunes BioBERT to classify tumor-related statements (including negation/ambiguity handling), and integrates image-model outputs (MedSAM/GroundingDINO) for tumor localization and classification. Also worked on an LLM/RAG system to draft IPO prospectuses using retrieved regulatory/financial sources (including SEC EDGAR) with structured prompts to reduce hallucinations.”
Manasa Pantra
Junior Software Engineer specializing in AI, LLM systems, and full-stack development
“Product-focused full-stack engineer at startup (Zippy) who shipped a production multi-agent AI system for restaurant operations plus payments workflows. Built end-to-end: RAG grounded on a Notion knowledge base, structured function-calling task routing, FastAPI/JWT multi-tenant backend, and a polished React+TypeScript owner dashboard. Has real production incident experience (duplicate Stripe webhooks) and reports ~94% task-routing accuracy under load.”