arun pandey

CEO

Bengaluru, Karnataka, India26 yrs 9 mos experience

AI EnabledHighly Stable

Key Highlights

25+ years in AI and enterprise architecture
Co-founded multiple AI startups
Best-selling author on Generative AI

Stackforce AI infers this person is a seasoned AI architect specializing in enterprise solutions and Generative AI.

Contact

Skills

Core Skills

Agentic AiGenerative AiAi Product DevelopmentEnterprise Ai SolutionsAutoml DevelopmentAi Solutions ArchitectureEnterprise Data SolutionsData Analytics

Other Skills

LangGraphLangChainFfmpegTask Planning & ExecutionMilvusAutoGenWhisperToolformern8nFAISSCrewAIStreamlitOpenAI Function CallingDirector levelPython

About

I don’t just use AI — I build production-grade AI systems. 25+ years in AI, data, and enterprise architecture. Today, leading Agentic AI, RAG pipelines, and LLM system design as Head of AI. 🧠 What I specialize in: Multi-agent AI systems Retrieval → Reasoning → Generation pipelines Scalable AI platforms (Cloud + Kubernetes) Real-world GenAI deployments (not demos) 🚀 Built, not just talked: Co-founded 3 AI startups Built LawGPT — an agentic AI legal assistant Developed enterprise AI products across vision, voice & AutoML 🏆 Recognized by the industry: AI Innovator Award (India) Emerging CEO Award 3× Oracle MVP Speaker at NVIDIA GTC, Oracle OpenWorld, NASSCOM 📚 Author: Best-selling author of 👉 Ultimate Generative AI on Google Cloud 💡 My belief: AI is not a tool. It’s a new computing paradigm. The real edge is not prompting — it’s designing intelligent systems. 🤝 Open to: AI leadership roles | GenAI strategy | Developer Relations | High-impact collaborations

Experience

26 yrs 9 mos

Total Experience

4 yrs 10 mos

Average Tenure

2 yrs 6 mos

Current Experience

Lawgpt

CEO and Co-Founder

Dec 2023 – Present · 2 yrs 6 mos · Bengaluru, Karnataka, India · On-site

LawGPT – Transforming Legal Intelligence with Generative AI
LawGPT is an AI-powered legal assistant purpose-built for the Indian legal ecosystem, addressing one of the most complex and underserved knowledge domains—case law research, interpretation, and drafting.
Founded with a vision to make legal intelligence accessible, accurate, and scalable, LawGPT leverages an advanced agentic Retrieval-Augmented Generation (RAG) architecture to deliver citation-backed legal insights, summaries, and drafting support with high precision. The platform combines deep domain understanding with cutting-edge AI to significantly reduce research time while improving decision quality for legal professionals.
At its core, LawGPT is built on a robust, scalable technology stack using Python, FastAPI, Pinecone, and LangChain, enabling high-performance semantic retrieval, intelligent re-ranking, and context-aware response generation. The platform incorporates sophisticated document ingestion pipelines powered by n8n, capable of processing large volumes of legal documents using advanced chunking, embedding, and metadata enrichment strategies.
LawGPT goes beyond traditional legal search tools by enabling multi-step AI reasoning workflows, designed to handle complex legal queries while minimizing hallucinations and ensuring traceability through structured citations. This makes it not just a research tool, but a reliable co-pilot for legal professionals.
The product has already demonstrated strong early traction through successful POCs, live demos, and onboarding with legal practitioners, validating both its technical depth and market relevance.
We are now at an inflection point—ready to scale.
With the right investment, LawGPT aims to expand its coverage, enhance its AI capabilities, and become the default intelligence layer for legal workflows in India and beyond.

LangGraphLangChainAgentic AIFfmpegTask Planning & ExecutionMilvus+10

Deeplearning.ai

Mentor

Nov 2023 – Present · 2 yrs 7 mos · Bengaluru, Karnataka, India · Remote

Actively contribute to the DeepLearning.AI community, collaborating with practitioners and learners on topics across Generative AI, deep learning, and modern AI system design. Engage in knowledge sharing, discussions, and problem-solving around real-world AI use cases, while staying aligned with the latest advancements in LLMs, agentic workflows, and AI architectures.
Leverage this platform to both mentor and learn, exchanging insights with a global network of AI professionals, and contributing to the broader ecosystem through continuous exploration, experimentation, and community-driven innovation.

Nvidia

Consultant

Mar 2023 – Present · 3 yrs 3 mos

Yottaasys ai products pvt limited

CEO and Co-Founder

Mar 2018 – Dec 2023 · 5 yrs 9 mos · India · On-site

Built and scaled AI-driven enterprise products including Visionx (facial recognition) and Voicex (voice-based AI systems), delivering real-time inference solutions across industries. Designed and implemented end-to-end AI pipelines covering data ingestion, model training, and deployment using Python, TensorFlow, and PyTorch within cloud-native architectures. Developed scalable APIs and microservices for enterprise integration, ensuring high performance and reliability across large workloads. Led product engineering, architecture, and deployment, focusing on practical usability and performance optimization while driving adoption through customer engagements and POCs.

Scikit-LearnPredictive ModelingLangChainAgentic AINLTKAnalytical Skills+8

Yottaasys consulting pvt. ltd.

CEO and Co-Founder

Jan 2015 – Feb 2018 · 3 yrs 1 mo · Bangalore · On-site

Architected and developed Nirmaan, an enterprise-grade AutoML platform comparable to DataRobot, enabling automated model development, training, and deployment workflows. Designed scalable AI workloads across on-premise and cloud environments, optimizing performance, resource utilization, and system efficiency. Led end-to-end architecture, product development, and delivery of AI solutions, helping enterprises accelerate their machine learning adoption through automation and intelligent workflows.

Scikit-LearnPredictive ModelingNLTKAnalytical SkillsStatistical ModelingProduct Management+7

Capgemini

Principal Solutions Architect and COE Head

Jun 2012 – Dec 2014 · 2 yrs 6 mos · india · On-site

Led AI and analytics initiatives across global engagements, driving adoption of NLP and computer vision solutions that significantly improved operational efficiency and reduced manual effort. Owned architecture design, GTM strategy, and POC development for enterprise AI solutions, contributing to large-scale, revenue-generating programs. Built and scaled AI capabilities within the organization, enabling successful deployment of advanced analytics solutions across multiple industries.

Scikit-LearnPredictive ModelingNLTKAnalytical SkillsStatistical ModelingSeq2Seq+3

Oracle

Principal Consultant

Jun 2006 – Jun 2012 · 6 yrs · United States · On-site

Delivered 50+ enterprise analytics and data science projects across industries, building scalable data platforms and driving advanced analytics adoption. Recognized as a 3-time Oracle Most Valuable Player (MVP) for innovation, thought leadership, and consistent delivery excellence. Played a key role in architecting large-scale enterprise solutions, helping organizations transform their data into actionable insights.

Predictive ModelingAnalytical SkillsStatistical ModelingEnterprise ArchitectureEnterprise Data Solutions

Hcl technologies

Senior Solutions Architect

Jun 1999 – May 2006 · 6 yrs 11 mos · New Jersey, United States · On-site

Led end-to-end delivery of enterprise data and analytics solutions for Fortune 500 clients, managing large teams and driving digital transformation initiatives across multiple domains. Designed and implemented scalable data architectures, ensuring high performance, reliability, and alignment with business objectives.

Predictive ModelingAnalytical SkillsStatistical ModelingData Analytics