---
title: "Abhishek Verma - Founder and CEO in Bengaluru | Tal"
description: "Meet Abhishek Verma, Building LoomStack · Dobr.AI · xAmazon based in Bengaluru."
image: "https://tal.club/meet/abhishek-68/share-image"
---

# Abhishek Verma on Tal

## Headline

Building LoomStack · Dobr\.AI · xAmazon

## About

Building the future of software engineering, after 9 years of crafting digital experiences at Amazon and various startups\. When I'm not building the next 'awesome,' you'll find me hiking, reading, or playing chess\.

## Location

Bengaluru

## Work experience

Founder and CEO at LoomStack, May 2026 \- Present · 2 mos, Remote, We’re building a process orchestration layer for software teams building with AI\. Today, humans "manually" leverage AI tools across product specs, planning, coding, testing, and deployment\. We invert the workflow: LoomStack owns the end\-to\-end engineering lifecycle and involves humans only where oversight, judgment, or accountability are needed\.

Co\-Founder at Dobr\.AI, Apr 2024 \- Present · 2 yrs 3 mos, Bengaluru, • Founded Dobr\.AI with a vision to create a new standard of technical hiring, to replace the current obsolete interview frameworks, and to democratize evaluation around real\-world skills, instead of relying on brand pedigree\. • Built a voice\-based AI interview agent to conduct natural, conversational technical interviews, simulating human\-level interaction and adapting questions based on candidate responses and the ongoing progress on the task\. • Architected a scalable, cloud\-native microservices platform \(AWS\) supporting thousands of concurrent interviews with >99\.9% uptime\. • Built a model\-agnostic, agentic orchestration framework using context\-driven sub\-agents \(LLM\-based\) for question generation, evaluation, and adaptive feedback; integrated LLM routing across Groq, Anthropic, and Bedrock with fallback, caching, and prompt optimization to improve availability, and reduce latency & cost\. • Built subsystems for cheating\-detection using behavioral signals \(typing cadence, fraud signals\) and dynamic validation agents\. Designed a plugin\-based system enabling extensibility for new interview formats \(e\.g\., machine coding, system design\) and evaluation logic without core refactoring\.

Staff Software Engineer \- AI at interface\.ai, Oct 2025 \- May 2026 · 8 mos, Remote, Technical leader for a 40\+ member engineering org\. Leading engineering for the core conversational AI platform and the future roadmap at Interface\.AI\.

Tech Lead at Amazon, Feb 2020 \- Nov 2024 · 4 yrs 10 mos, Bengaluru, Karnataka, India, • Led the development of GenAI workflows, enabling the first\-generation GenAI\-enabled Kindle device\. This involved deploying robust GenAI models, utilizing LLMs and agentic workflow execution, to enhance user experience and content creation on the device\. A key aspect of the project was implementing safeguards to prevent the generation of harmful or biased content, aligning with ethical AI guidelines and user safety protocols\. This project involved cross\-team collaboration, architectural design, planning, and leading a team of 5 SDEs\. • Led the end\-to\-end development of a comprehensive suite of fraud and abuse prevention systems for AWS's self\-checkout service\. This multi\-phased, high\-impact initiative directly tackled retail shrinkage \(a $94\.5B industry loss in 2021\)\. The product suite encompassed core theft detection, alert and monitoring systems, MLOps, and a ground truthing platform\. My responsibilities included phased planning, team leadership, cross\-functional stakeholder collaboration, and architectural design and execution, leading a team of 4 SDEs\. • Led the automated receipt ground\-truthing project for Amazon GO, reducing the associate effort required for ground\-truthing by 50% and cutting the metric turnaround time by 66% \(from 3 days to 1 day\)\. • Led efforts on the automation of camera planning systems for Amazon GO, streamlining the camera planning process by 60% and reducing SDE operational effort by 95%, resulting in increased efficiency and productivity\.

Founding Engineer at Blurbsh Inc\., Mar 2019 \- Oct 2019 · 8 mos, Remote, • Worked as a founding engineer on the new release of the startup's applications and followup features\. • Significantly improved efficiency and performance by using the latest architectural components\.

## Education

Master of Computer Applications \- MCA, Computer Science, University of Hyderabad

Bachelor of Computer Applications, Computer Science, Birla Institute of Technology, Ranchi

[View the original profile](https://tal.club/meet/abhishek-68)

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