Open to
a conversation.
Currently an Analyst at TQ Ventures in New York. Not actively looking — but always up for a good conversation about agent infrastructure, sandboxed runtimes, evidence-grounded LLM pipelines, or anything else on this site.
The fastest way to reach me is email.
Analyst at TQ Ventures — New York, NY. June 2026 – present. Investment team at an early-stage venture fund. Engineering-flavored role: applied AI, LLM agent systems, and internal tooling.
Before that: Founding Engineer at Structured AI (Y Combinator F25, NYC), February – May 2026. 1,035 commits across backend, frontend, iOS, plugin work, and infra. I shipped the production document-analysis agent, built a Zero-Data-Retention code-execution sandbox (bubblewrap + seccomp + AST validation + JSON-RPC over child subprocess), designed a multi-discipline evaluation harness, and shipped the iOS / iPadOS client from zero.
- → Agent platforms. Graph-runtime + LLM with on-demand tool loading, prompt caching, persistent skill / memory injection. Modular pipelines that replace sprawling single-file orchestrators.
- → Hardened Python sandboxes. JSON-RPC over child subprocess; AST validator; bwrap + seccomp guards; gRPC + Protobuf bridge to a slim agent pod. ZDR-grade.
- → Eval harnesses. Multi-discipline task suites with lock-coordinated wave scheduling. Lean direct-SDK agents, minimal tool surface, zero framework overhead.
- → Durable event-sourced backends. Auto-migration container-startup, parallelized staging builds, JSON logging with rotation, DLQ for the durable chat layer. Event-sourced chat replays on reconnect.
- → iOS apps from zero. Apple Sign-In OAuth with Redis fallback for ASWebAuthenticationSession token loss; MarkdownUI streaming chat; 3-column iPad workspace; custom animations and gesture-based navigation.
- → Real-time data pipelines. 8-service market- research platform on AWS Fargate + FastAPI + Redis, enriching and classifying 500K+ companies daily; 20K+ events / hour into live KPI panels with sub-second update latency.
If you are working on any of these, I would genuinely enjoy the conversation:
- → Agent infrastructure, MCP servers, multi-vendor LLM orchestration
- → AI safety / runtime hardening / sandboxed code execution
- → Durable event-sourced chat, real-time data, RAG at scale
- → Vertical AI for regulated domains (legal, healthcare, AEC, finance)
- → Developer-tools companies shipping AI products
Email tanayshah2024@gmail.com. I respond within 24 hours.
Public engineering write-ups. Each entry shows the why, the architecture, and the lessons.
- → Structured AI — Founding Engineer field report
- → Travel MCP Server — flights / hotels / weather as tools
- → Mercury Stream — real-time market data with on-anomaly flight recorder
- → AI Agent Error-Handling Patterns — production reliability on Trigger.dev v4
- → Real-Time Sales-Coaching Agent — sub-2s live coach + post-call deep dive
Field-report blog posts on agent infrastructure, sandboxing, MCP, and zero-data-retention design.
Python · FastAPI · asyncpg · async workers · TypeScript · Swift / SwiftUI · gRPC + Protobuf · PostgreSQL · Redis · Docker multi-stage · Azure Container Apps · AWS (Lambda / Fargate / S3 / SQS) · Kafka · LangGraph · Anthropic SDK · MCP · Next.js · pgvector · Trigger.dev · Apache AGE.
Comfortable across the full agent stack — from sandboxed runtime up through gRPC bridge, async backend, durable chat layer, and iOS client.
What are you doing now?
Analyst at TQ Ventures in New York — an early-stage venture fund. Engineering-flavored role: applied AI, LLM agent systems, and internal tooling. Not actively looking, but always open to a conversation.
Where are you based?
New York City.
Education?
University of Maryland — Computer Science, departmental honors, Statistics minor. December 2025.
How fast do you respond?
Within 24 hours, usually within a few. Email tanayshah2024@gmail.com.
// last revised 2026-08-07 · canonical: tanayshah.dev/hire