---
title: "Shayanto Dutta - Founder's Office in Bengaluru | Tal"
description: "Meet Shayanto Dutta, Building AI agents end-to-end · Voice AI · local LLMs · Data Pipelines · UX based in Bengaluru. AI stack includes claude code, claude, and codex. Explore public work links including github and shayanto-dutta.netlify.app."
image: "https://tal.club/meet/shayanto-dutta/share-image"
---

# Shayanto Dutta on Tal

## Headline

Building AI agents end\-to\-end · Voice AI · local LLMs · Data Pipelines · UX

## About

I build AI agents end\-to\-end\. Right now I'm in deep build mode — experimenting with the full stack of what a modern AI product actually takes to ship: → Custom agents \(Claude, OpenAI, open\-weight\) wired with tools, memory, and real\-world workflows via n8n and MCP\. → Voice AI agents — Retell, Exotel, Ameyo, Fundamento — the messy intersection of telephony, ASR, LLMs, and barge\-in interrupts\. → Local LLMs — running open\-weight models on my own hardware, fine\-tuning them on domain data, comparing the cost/quality tradeoff vs frontier APIs\. → Data pipelines that feed the above — ingestion, transformation, vector stores, eval loops\. → Cloud architecture — designing the deploy layer so an agent isn't just a notebook, it's a production system\. → Agent UX — the unsolved problem\. How do humans actually interact with a system that can take 50 actions in a row? I'm prototyping interfaces that make that legible\. The pattern across all of it: I learn by building the whole stack myself, then strip out what doesn't matter\. Notebooks become repos, repos become deployed agents, deployed agents become writeups\. What's interesting to me next: agents that own complete workflows in Indian fintech, voice\-first products for users who don't read English, and the design language for AI surfaces that don't feel like chatbots\. If you're building agents, training models, or designing AI products — let's talk\. DMs open\. Stack I work in: Claude, OpenAI, open\-weight LLMs \(Llama, Qwen, Mistral\), n8n, MCP, Retell, Exotel, Python, LangGraph, Pinecone/pgvector, Docker, AWS/GCP, Figma, Next\.js\. Based in Bengaluru\.

## Location

Bengaluru

## AI stack

claude code

claude

codex

cursor

mcp

n8n

## Work experience

Founder's Office at QodexAI, Aug 2026 \- Present · 2 mo, Bangalore

AI Automation Builder at Independent, Feb 2026 \- Aug 2026 · 6 mo, Bangalore, Built Scratchbook solo end to end, an AI life\-OS live in production \(27 RLS\-private tables, 3 edge functions, Gemini backend\)\. Built and operated autonomous systems solo, end to end: a 10\-workflow AI "Chief of Staff, " voice outreach agents, two Alpaca trading bots, and a self\-improving knowledge system\. Built AI marketing automation end to end using Higgsfield mcp to automate marketing campaigns on Instagram\.

Product Analyst at Ambak, Mar 2025 \- Feb 2026 · 11 mo, Bengaluru, \*Core Ownership & Scalability\* End\-to\-End Funnel Ownership: Owned the analytics and operational logic for multi\-channel communication funnels \(Voice & WhatsApp\), ensuring reliability and data consistency\. High\-Volume Operations: Supported 3 business verticals and 15\+ active campaigns, managing thousands of monthly customer touchpoints for a team of 40\-50 agents\. System Scalability: Optimized system\-level changes to improve throughput and operational predictability, allowing the business to scale without increasing headcount\. \*Product Design & Performance Optimization\* Advanced Call\-Flow Architecture: Designed and launched 10\+ custom configurations, including agent\-mapped DIDs and single\-ACD routing\. Connectivity Improvements: Boosted first\-touch connectivity by 20\-25% and reduced call misrouting by 30% through iterative system design\. Lead Response Speed: Achieved a 30% reduction in time\-to\-first\-contact across live campaigns\. \*Product Integration & UX Strategy\* AI WhatsApp Integration: Partnered with Engineering to integrate Periskope \(AI WhatsApp\) into the CRM, contributing to iframe UX design and action placement\. Efficiency Gains: Reduced agent context switching by \~40% by centralizing communication tools within a single interface\. Stakeholder Collaboration: Translated agent\-level behavior and funnel drop\-off insights into actionable product hypotheses\. \*Growth & Customer Engagement\* WhatsApp Funnel Engineering: Built automated engagement funnels using Meta\-approved templates featuring CTAs and quick replies\. Engagement Metrics: Drove 15\-20% higher customer response rates through explicit state tracking\. Automation: Reduced manual follow\-up requirements by 25\-30% through optimized messaging workflows\.

Founder's Office at Nuttu Kaka, Oct 2023 \- Feb 2025 · 1 yr 5 mos, Bengaluru, Founder's Office at Nuttu Kaka — a D2C consumer brand\. The kind of role where you do every job once before it gets hired\. • Organized 40\+ product stalls at public events; engaged 300\+ customers on product quality, health benefits, and pricing\. • Managed a ₹25\+ lakh corporate order for India Cements' Diwali gift boxes — owned sourcing, scheduling, packing, and logistics end\-to\-end\. • Sourced products from 5 vendors across India; negotiated 2–5% cost reductions while holding quality and on\-time delivery\. • Ran competitor analysis on 15\+ brands across Flipkart and Amazon — optimized pricing strategy and set 20–30% profit margins\. Where a process didn't exist, I wrote it\. The broad\-surface experience here — product, ops, vendors, growth — is what shaped how I now think about wiring AI into the boring, repeatable parts of a business\.

Analyst at Dashtoon, May 2023 \- Aug 2023 · 4 mos, Bengaluru, Analyst intern at Dashtoon — a Generative AI content platform\. My first hands\-on exposure to building with generative models, before AI agents were the default conversation\. • Tested and benchmarked Generative AI tools — Stable Diffusion 3, Midjourney, DALL·E 3 — for transforming and manipulating artwork inside a consumer\-facing platform\. • Consulted with the engineering team on UI design for the Stable Diffusion API, optimizing for prompt\-to\-render speed and creator efficiency\. • Collaborated with the storyboard team to redesign a content workflow — increased team efficiency by \~30%\. • Managed feedback from digital distributors; surfaced insights on content consumption across categories and demographics\. • Contributed to the data analysis behind a regional heat\-map feature that matched content to consumer preferences by geography and age group\. Where the AI builder identity started\.

## Education

Bachelor of Business Administration \- BBA, Business Administration and Management, General, bangalore university

## Public links

- github: https://github\.com/ShayantoDutta
- shayanto\-dutta\.netlify\.app: https://shayanto\-dutta\.netlify\.app/

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

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