AI consulting for data-rich teams

Transforming scattered operations into compounding AI systems that quietly grow your business every day.

goBIGai works with founders, operators, and organizations overwhelmed by manual workflows, unstructured documents, and disconnected tools. We design production-grade RAG applications, AI agents, and document extraction systems that integrate into your stack and deliver measurable impact.

90%

Review time reduced

30

Marketplaces served

25+

AI systems shipped

Founder

AI Consulting
Anirudh Voruganti portrait
RAG SystemsAI AgentsDocument Intelligence

Consulting Offers

Workflow Discovery & Impact Modeling

Pinpoint the exact workflows where AI can remove manual effort and unlock compounding leverage.

RAG & LLM Applications

Design AI copilots that answer questions from your private data with speed, accuracy, and auditability.

AI Agents & Automation

Deploy agents that coordinate tasks across tools so work keeps moving without constant human intervention.

Document Extraction Systems

Convert PDFs and unstructured files into clean, structured data that flows into your core systems.

Cloud-Native Deployment & Monitoring

Ship reliable, scalable AI systems with observability, safety, and long-term maintainability.

Track record

ACTIVE

Founder & Principal AI Consultant

goBIGai

Jan 2025 — Present

  • Deliver production-grade RAG pipelines and AI agents tailored to domain-specific enterprise workflows.
  • Built a document parser platform that cut review time by ~90% for an education client handling massive repositories.
  • Implemented an n8n + LinkedIn sales automation agent that drives intelligent follow-ups and pipeline visibility.
  • Led discovery, architecture, and deployments across AWS, GCP, Vercel, and Supabase for multi-stakeholder teams.

Software Engineer

Amazon.com (Seattle)

Jun 2022 — Jan 2023

  • Orchestrated 20+ ETL pipelines across 30 marketplaces using AWS Step Functions to optimize supply chain flows.
  • Delivered Java REST APIs and CI/CD automation that improved recovery time and boosted pipeline reliability.
  • Built a Python Step Functions proof-of-concept that reduced runtime by 60% and saved ~$5K per pipeline monthly.

Senior Data Analyst

Games24x7 Pvt Ltd

Sep 2020 — Aug 2021

  • Led analytics that shaped product roadmaps for India’s largest gaming company, improving ARPU by 12%.
  • Built SQL-heavy insight layers in MySQL and Presto to improve operational decision-making.
  • Optimized AWS Glue, Athena, and Redshift pipelines to accelerate reporting and Tableau delivery.

Data Analyst – Research Fellow

IIT Bombay

Oct 2019 — Apr 2020

  • Built an 85%-accurate plant disease prediction model using weather and soil sensor data.
  • Shipped a Python + PyQt monitoring dashboard for near-real-time field visibility.

Data Analyst

Amazon.com (Hyderabad)

Dec 2018 — Sep 2019

  • Led delivery preference experiments that improved customer satisfaction by 4% in Japan.
  • Automated KPI dashboards in Tableau for daily, weekly, and monthly decision cycles.

Proof

Deployments with teeth

Full resume

90% faster reviews

Document Intelligence Platform

Document extraction system that classifies, retrieves, and summarizes large repositories into audit-ready outputs.

Always-on outreach

Sales Automation Agent

n8n + LinkedIn automation that captures signals, triggers follow-ups, and keeps pipeline momentum visible.

Production-ready from day one

Enterprise RAG Delivery

RAG applications and copilots integrated into existing stacks with observability, guardrails, and handoff docs.

Stack I rely on

Tooling across RAG, agents, automation, and cloud-native delivery for production AI systems.

PythonRAGLLMsAI AgentsWorkflow AutomationDocument ExtractionLangChainLangGraphLangfuseFastAPIDockerCeleryRedisPostgreSQLAlembicMCPn8nCloud ComputingAI Infrastructure

About goBIGai

goBIGai turns AI curiosity into production-grade systems you can trust. We focus on the gap between a promising demo and reliable deployment by shipping RAG applications, AI agents, and document extraction platforms that reduce manual effort, accelerate decisions, and keep human teams in control.

Founded by Anirudh, an AI engineer and ex-Amazon builder with research experience at IIT Bombay, goBIGai brings enterprise rigor to every engagement. Past work spans ecommerce, gaming, and education, including a document extraction platform that turned a painful review bottleneck into a fast, auditable process.

Hyderabad • Global deliveryProduction-firstResponsible AI systems

Credentials

Research Fellow (Data & AI)

Indian Institute of Technology Bombay

2019 — 2020

Ex-Amazon Engineer & Analyst

Seattle & Hyderabad

2018 — 2023

Recent drops

  • Enterprise document parser that automates classification and extraction at scale.
  • LinkedIn-aware sales automation agent orchestrated in n8n for faster follow-ups.
  • Full-stack web build for a software consultancy to improve enterprise credibility.

Ready when you are

Let’s build responsibly.

If you’re ready to turn one painful workflow into a scalable AI system, start by sharing the process that’s slowing your team down. We’ll map a tailored goBIGai solution and ship it with observability, safety, and handoff docs.

🔍

Discovery session

Analyze your workflows and data to identify automation opportunities.

⚙️

Custom solution design

Architect AI systems tailored to your knowledge base and processes.

🔄

Implementation

Integrate into your existing stack and launch with confidence.

📈

Optimization

Continuously refine accuracy, reliability, and business impact.

founder@gobigai.org LinkedIn GitHub
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