Shayanto Dutta profile photo 1 on Tal

Shayanto Dutta

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

Bengaluru

3+ years of work experience

QodexAI
Aug 20262 moPresent

Bangalore

Independent
Feb 20266 moAug 2026

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.
Ambak
Mar 202511 moFeb 2026

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.
Nuttu Kaka
Oct 20231 yr 5 mosFeb 2025

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.
Dashtoon
May 20234 mosAug 2023

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.

Shayanto’s AI Stack

claude code
claude code
claude
claude
codex
codex
cursor
cursor
mcp
mcp
n8n
n8n

Education

bangalore university

Bachelor of Business Administration - BBA, Business Administration and Management, General

bangalore university

20203 yrs2023

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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/