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Vetted Retrieval-Augmented Generation (RAG) Professionals
Pre-screened and vetted.
Junior Full-Stack Software Engineer specializing in backend, cloud, and AI systems
Mid-level ML Engineer specializing in AI systems and LLM infrastructure
Senior Technical Program Manager specializing in Azure cloud infrastructure
Junior Software Engineer specializing in backend and full-stack systems
Mid-level Realtime AI Systems Engineer specializing in voice and streaming infrastructure
Senior Full-Stack Engineer specializing in Python, AI, and LLM-powered platforms
Senior Full-Stack Engineer specializing in Python, React, and cloud-native web platforms
Entry-level Full-Stack Engineer specializing in web systems and AI applications
Senior Full-Stack Engineer specializing in scalable SaaS and cloud-native web platforms
Senior Full-Stack Engineer specializing in Python, cloud, and scalable web platforms
Senior Full-Stack Developer specializing in automation, IoT, and integrations
Senior Machine Learning Engineer specializing in Generative AI and MLOps
Mid-level UX Engineer specializing in design systems and frontend architecture
Mid-level AI Engineer specializing in agentic LLM workflows and RAG systems
Atiman Rohatgi
Junior Software Engineer specializing in AI/ML and full-stack applications
“AI/backend-focused builder who has shipped two distinct applied AI products: a game discovery platform with vector search + RAG chat, and an AI accounting platform for small businesses. Stands out for combining product discovery with hands-on system design, including sub-100ms retrieval performance, privacy-conscious financial workflows, and measurable impact like 58% compute-time reduction and support for 24,000+ user profiles.”
Kirtiranjan Maharana
Mid Frontend Engineer specializing in AI-driven web platforms
“Frontend/product-focused engineer who helped build Cheiron.bio from no product to production, owning major parts of an AI-powered search and document intelligence experience for bio-pharma researchers. Stands out for combining React/Next.js/TypeScript architecture depth with strong product thinking around AI workflows, citations, streaming interactions, and responsive UX in complex, data-heavy interfaces.”
Tirth Shah
Mid-level AI/ML Engineer specializing in anomaly detection, data tooling, and cloud-native systems
“Backend/platform engineer who built an LLM-driven QA automation system (“mockmouse”) using a Flask orchestration microservice, Socket.IO real-time updates, Redis caching, and strict Pydantic schemas to turn prompts into reliable action graphs and automated browser tests. Has hands-on Kubernetes delivery experience (Docker/Helm/Jenkins) and has supported large migration programs, validating ETL cutovers with 1M+ synthetic records and rigorous output comparisons; also built event-driven monitoring/anomaly detection streaming into Grafana.”
Sangram Jagtap
Mid-Level Full-Stack Software Engineer specializing in web platforms, cloud, and test automation
“Full-stack engineer with hands-on ownership of production systems, including a Kafka-based notification/alerting platform (Node.js + React) deployed on AWS with Docker/GitHub Actions, achieving ~95% email delivery reliability. Demonstrates strong operational maturity (observability, CI/CD, zero-downtime migrations) and experience shipping in ambiguous environments (SJSU project) with evolving requirements.”
Jatin Soni
Mid-level Software Engineer specializing in Generative AI and scalable backend systems
“Backend/AI engineer with production experience in legal tech: built a high-scale licensing/subscription API (FastAPI/Postgres/Stripe) and shipped a RAG-based chatbot for an eDiscovery platform. Designed a robust legal document ingestion workflow that processes thousands of documents into a searchable vector index with clear retry/escalation logic, and has demonstrated measurable Postgres performance wins (200ms to 10ms) using EXPLAIN ANALYZE and composite indexing.”