---
title: "Vaibhav Daga - AI Lead in Bengaluru | Tal"
description: "Meet Vaibhav Daga, Builder | Ex-Goldman Sachs, Google, slice | IITR | CFA L2 based in Bengaluru. AI stack includes claude code, claude, and codex."
image: "https://tal.club/meet/vaibhav-daga/share-image"
---

# Vaibhav Daga on Tal

## Headline

Builder \| Ex\-Goldman Sachs, Google, slice \| IITR \| CFA L2

## About

I build systems where being wrong is expensive — money moving between banks, revenue books auditors sign off on, LLM output that has to be right, not just plausible\. I get pulled into ambiguous domains\. Card management systems had no public playbook, I reconstructed one through primary research — it became the backbone of slice's card program\. At Google, I built GCP's revenue\-recognition platform — turning accounting policy into APIs, data models, and a fully automated system\. The recent chapters are LLM\-native: building agent workflows that decompose real analyst and QA work into systems with measurable, guarded output\. The breadth is deliberate: markets at Goldman Sachs, cloud platforms at Google, payments at slice, AI at Peekstreet — which I co\-founded — and Testsigma\. Founding a company taught me to own outcomes end to end, and I've kept the habit\. I love owning hard problems\.

## Location

Bengaluru

## AI stack

claude code

claude

codex

cursor

hermes agent

## Work experience

AI Lead at Testsigma, Sep 2025 \- Present · 1 yr 1 mo, ◦ Build a multi\-stage LLM agentic pipeline that generates test cases from product requirements, with built\-in LLM evaluation \(evals\), guardrails, and context engineering, cutting test authoring time by 75%\. ◦ Directed a knowledge\-graph prototype that grounds test generation in each customer’s application structure for hallucination mitigation\. ◦ Designed an auto\-healing algorithm to repair broken test\-automation locators across heterogeneous customer applications\. ◦ Mentored engineers implementing backup locators and multimodal LLM\-based visual analysis with confidence scoring\. ◦ Reduced false test failures by 82% across all customers while keeping false positives under 5%\. ◦ Provided technical leadership to 10\+ engineers across multiple cross\-functional teams, shipping 5\+ projects through influence without authority\.

Founder at Stealth Startup, Apr 2024 \- Oct 2025 · 1 yr 7 mos, Bengaluru, • Built and launched a multi\-agent generative AI platform \(autonomous LLM agents\) for investment research and analysis\. • Designed an agent\-orchestration framework from scratch \(zero\-to\-one\), decomposing complex analysis workflows into specialized sub\-agents with task\-specific tools \(tool use / function calling\)\. • Developed a personalization layer that adapts agent output \(structured outputs\) to each client’s investment mandate and reporting format\. • Implemented a Retrieval\-Augmented Generation \(RAG\) system — document parsing, chunking, embeddings, and vector search — for fast, accurate retrieval over earnings call transcripts\. • Led customer\-facing design\-partner collaboration to automate earnings transcript analysis, cutting analyst effort by 33%\.

Technical Lead at slice, May 2022 \- Apr 2024 · 2 yrs, Bengaluru, \- Card Management System \(CMS\), PPI card ◦ Architectured CMS through primary research and vendor evaluation with RuPay, VISA, vendors, and competitors\. ◦ Synthesized the research into a buildable high\-level architecture and technical specification that became the blueprint for the entire CMS program\. ◦ Scoped all components: multi\-tenant management, digital and physical card issuance, card controls and transaction limits, online and offline transaction authorization\. ◦ Specified entities, domain models, state machines, data flows, card lifecycle management, and algorithms for every user journey, turning an ambiguous domain into an executable design\. ◦ Deployed HSMs for all cryptographic operations \(encryption, key management\) across DC/DR data centers with disaster recovery, meeting PCI\-DSS and RBI regulatory compliance requirements\. ◦ Designed a modular monolith with clean service boundaries \(domain\-driven design\), enabling incremental decomposition into microservices for scalability\. ◦ Future\-proofed the design for extensibility to credit and debit cards and additional card networks \(NPCI/RuPay, Visa\), avoiding re\-architecture for new products\. ◦ Projected cost savings of INR 30M annually at launch volume, scaling to INR 100M\+ as card volume grows\. \- Payouts ◦ Built the loan disbursement \(lending payouts\) platform with bank integrations, defining bank account discovery, penny\-drop validation, and transaction behavior\. ◦ Designed client\-level idempotency and pending\-transaction balance locking \(concurrency control, transactional integrity\), eliminating negative\-balance and double\-disbursement scenarios\. ◦ Implemented event\-driven transaction state management using webhooks and asynchronous processing, with end\-of\-day monetary reconciliation against the ledger\.

Software Engineer at Google, Oct 2020 \- Apr 2022 · 1 yr 7 mos, Bengaluru, ◦ Built GCP’s revenue recognition system, achieving 100% compliance automation\. ◦ Reduced manual intervention by 70% by partnering cross\-functionally with product managers and finance leads to translate business requirements into technical solutions\. ◦ Delivered 20\+ REST APIs with end\-to\-end architecture, including entities, data modeling, low\-level design, API contracts, and business logic\. ◦ Designed and built a changelog\-capture \(audit trail\) system, engineered for auditability, extensibility to future business needs, and scale\.

Senior Software Engineer, Global Investment Research at Goldman Sachs, Jun 2018 \- Sep 2020 · 2 yrs 4 mos, Bengaluru, \- Quant ◦ Built statistical and time\-series quantitative models computing the Financial Conditions Index \(FCI\) for 50 countries\. ◦ Validated the models via backtesting against 20\+ years of history, demonstrating correlation with real economic indicators\. ◦ Engineered a real\-time data pipeline \(MongoDB\) delivering FCI data directly to research analysts\. ◦ Shipped production REST APIs powering the public FCI dashboard on goldmansachs\.com and external client data feeds\. \- Alternative data modelling ◦ Estimated country\-level import/export trends by tracking export\-vessel locations \(alternative data, predictive modeling\)\. ◦ Modeled the impact of corporate events on stock prices \(financial modeling\)\. ◦ Developed Natural Language Processing \(NLP\) text analytics for trend analysis over historical earnings transcripts, adopted by analysts across the division\. ◦ Trained 100\+ fundamental analysts to build their own Python data\-analysis workflows, seeding automation across the research division\.

Software Engineer, Market Risk at Goldman Sachs, Jun 2017 \- May 2018 · 1 yr, Bengaluru, • Built data analytics tooling over daily risk\-pricing data for the firmwide portfolio\. • Reduced the compute cost and runtime of risk\-pricing calculations \(performance and cost optimization\)\.

## Education

Bachelor's Degree, Computer Science, Indian Institute of Technology, Roorkee

High School, Step By Step High School, Jaipur

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

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Person",
      "@id": "https://tal.club/meet/vaibhav-daga#person",
      "name": "Vaibhav Daga",
      "url": "https://tal.club/meet/vaibhav-daga",
      "description": "Meet Vaibhav Daga, Builder | Ex-Goldman Sachs, Google, slice | IITR | CFA L2 based in Bengaluru. AI stack includes claude code, claude, and codex.",
      "jobTitle": "AI Lead",
      "worksFor": {
        "@type": "Organization",
        "name": "Testsigma"
      },
      "hasOccupation": {
        "@type": "Occupation",
        "name": "AI Lead"
      },
      "homeLocation": {
        "@type": "Place",
        "name": "Bengaluru"
      },
      "alumniOf": [
        {
          "@type": "EducationalOrganization",
          "name": "Indian Institute of Technology, Roorkee"
        },
        {
          "@type": "EducationalOrganization",
          "name": "Step By Step High School, Jaipur"
        }
      ],
      "knowsAbout": [
        "claude code",
        "claude",
        "codex",
        "cursor",
        "hermes agent"
      ],
      "mainEntityOfPage": {
        "@id": "https://tal.club/meet/vaibhav-daga#webpage"
      }
    },
    {
      "@type": "ProfilePage",
      "@id": "https://tal.club/meet/vaibhav-daga#webpage",
      "url": "https://tal.club/meet/vaibhav-daga",
      "name": "Vaibhav Daga on Tal",
      "description": "Meet Vaibhav Daga, Builder | Ex-Goldman Sachs, Google, slice | IITR | CFA L2 based in Bengaluru. AI stack includes claude code, claude, and codex.",
      "dateModified": "2026-09-28T10:31:28.417Z",
      "isPartOf": {
        "@id": "https://tal.club/#website"
      },
      "mainEntity": {
        "@id": "https://tal.club/meet/vaibhav-daga#person"
      },
      "inLanguage": "en-IN"
    }
  ]
}
```