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Vetted Object-Oriented Programming (OOP) Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in FinTech and modern web platforms
Senior Software Development Engineer specializing in full-stack web, cloud, and MLOps
Junior Full-Stack & ML Engineer specializing in AI products and real-time systems
Junior Data Engineer specializing in cloud data platforms and MLOps
Staff Software Architect and Engineering Lead specializing in cloud and data platforms
Mid-level Full-Stack Developer specializing in cloud-native enterprise applications
Director-level Technology & Management Consultant specializing in software delivery, cloud, and healthcare IT
Software Engineering Manager specializing in FDA-compliant medical device software
Senior Full-Stack Python Developer specializing in Django, FastAPI, and cloud platforms
Senior Full-Stack Developer specializing in cloud-native FinTech microservices and React
Mid-level Full-Stack Developer specializing in cloud-native microservices
Senior Full-Stack Java Developer specializing in Spring Boot microservices and cloud platforms
Senior AI Python Engineer specializing in Generative AI and MLOps
Joseph Farghal
Intern Full-Stack Software Engineer specializing in automation and data-driven systems
“Early-career engineer with Charles Schwab internship experience building and testing production-bound internal APIs, emphasizing architectural fit, stakeholder alignment, and systematic debugging. Also has academic Python/ML experience analyzing Oura Ring biometric data and exposure to multi-agent robotics through coursework and RoboSub.”
Anvesh Reddy Narra
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“Built a secure, on-prem/private GPT assistant to replace manual SharePoint-style search across thousands of policies/SOPs/engineering docs, using a production RAG stack (LangChain/LangGraph, FAISS/Chroma, PyMuPDF+OCR, vLLM). Implemented layout-aware ingestion (including table-to-JSON) and a multi-agent retrieval/generation/verification workflow with strong observability and compliance guardrails, delivering ~70% reduction in search time.”
Shejal Shankar
Junior Software Engineer specializing in full-stack systems and LLM automation
“Full-stack engineer who shipped a production "Financial Insight" assistant dashboard in Next.js App Router/TypeScript, integrating a RAG pipeline (embeddings + ChromaDB + LLM) via route handlers and owning post-launch performance (latency, token cost, retrieval relevance). Also built/optimized Postgres-backed workflows for an outbound dialer and callback routing engine handling ~10,000 daily contacts, validating query performance with EXPLAIN (ANALYZE, BUFFERS).”