---
title: "Suyash Sanjay - Founding Engineer in Bengaluru | Tal"
description: "Meet Suyash Sanjay, Founding Engineer @ Anko AI | Building LLM Agents, MCP Integrations & Multi-Agent Systems that Scale based in Bengaluru. AI stack includes anthropic apis, claude code, and cursor. Explore public work links including leetcode."
image: "https://tal.club/meet/suyash-sanjay/share-image"
---

# Suyash Sanjay on Tal

## Headline

Founding Engineer @ Anko AI \| Building LLM Agents, MCP Integrations & Multi\-Agent Systems that Scale

## About

I build the agent infrastructure behind production LLM systems, multi\-agent orchestration, memory pipelines, and MCP integrations that let AI agents actually learn and act\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

cursor

langchain

langgraph

langsmith

## Work experience

Founding Engineer at Anko AI, Jul 2024 \- Present · 2 yrs 2 mos, Bengaluru, \- Engineered a human\-in\-the\-loop memory pipeline: an LLM agent extracts structured memory candidates from historical chat sessions, validates them against a live entity registry, and promotes approved facts into future analyst prompts — enabling continuous agent learning\. \- Designed and built end\-to\-end MCP integration enabling secure external client access to a production chat platform, including session persistence, token\-based authentication, and cross\-service request routing\. \- Built a production LangGraph functional FSM for multi\-turn LLM agent execution with SSE streaming, tool validation, reasoning/response separation, and runaway\-loop safeguards\. \- Designed a hierarchical multi\-agent system where sub\-agents are invoked as structured tools from a parent Analyst agent, enabling compositional analytics reasoning\. \- Implemented LLM\-driven code execution tools allowing agents to dynamically write and run Python/pandas scripts and generate Word reports within the chat loop\. \- Built an internal prompt engineering platform \(Eva\) with versioned Jinja2 templates, auto\-discovered MKG variable injection, and a dynamic skills system that injects new prompts and tools into live agent executions at runtime\. \- Migrated the ThoughtSpot integration to the official REST API SDK with stateless bearer token auth and automatic 401 retry, providing a reliable data query layer for LLM agents at runtime\. \- Designed and architected the frontend with a service layer and modular design, reducing build times by 50% and producing a codebase structure that LLMs can navigate and extend reliably\.

SWE Intern at Anko AI, Jan 2024 \- Jul 2024 · 7 mos, Bengaluru, Karnataka, India, • Spearheaded the development of a new frontend service for the MVP, which resulted in the company's first paid customer\. • Designed and built an admin panel for metric setup and visualization using Vis\.js, reducing manual setup time by 30%\. • Upgraded the frontend service from JavaScript to TypeScript React, improving type safety, maintainability, and scalability\. • Implemented a Snowflake integration panel to create and update data models, cutting data integration time by 70%\.

Software Engineer Intern at Rachnaye, Jun 2023 \- Jul 2023 · 2 mos, Bengaluru, Karnataka, India

## Education

Bachelor of Technology \- BTech, Computer Science, Birla Institute of Technology, Mesra

## Public links

- leetcode: https://leetcode\.com/Suyash0207

[View the original profile](https://tal.club/meet/suyash-sanjay)

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