Cyma Systems
AI-native engineer matching with Graph RAG, deterministic eligibility filters, and graph + semantic retrieval.

hey, i’m vidith. i’ve been building a lot around AI and backend systems lately and i’m starting to go deeper into multi-agent orchestration. most of the stuff i’ve worked on is up on my github ↗ if you want to look around.
AI-native engineer matching with Graph RAG, deterministic eligibility filters, and graph + semantic retrieval.
Multi-tenant construction SaaS used by two companies, with Gemini multimodal document ingestion and role-based workflows.
IoT telemetry and alerting with MQTT/PostgreSQL, plus an LLM compliance copilot for restaurant operations.
FastAPI + OpenAI backend services supporting 11,000+ users across production courses.
GCP/BigQuery data engineering, Python automation, and GA4 migration work.
React + Spring Boot product work with SQL automation that cut commission processing from days to about an hour.
Grounded RAG with hybrid retrieval, RRF, and deterministic citation validation.
MCP access manager for Gmail and Outlook with revocable permissions and human-approved sending.
Event-driven backend simulation with deterministic replay, risk checks, Redis deduplication, and streaming.
Scheduling, pthread concurrency, memory allocation, and low-level C.
Lexing, parsing, ASTs, scoping, and static type checking.