Vishal Rajpal

About Vishal Rajpal

I specialize in Cloud, Data infrastructure, ML Platform with MLOps, and AI agent platforms at enterprise scale.At Fractal Analytics, I co-lead build & deployment engineering for Cogentiq — an enterprise agentic AI system deployed across Fortune 500 companies. The work spans multi-agent orchestration, production LLM systems, and integrating AI workflows into long-standing enterprise architectures.Prior to that, I led the North America Engineering team at Fractal in the Head of Engineering role. The team included 70+ members across varied roles, industries, specializations & clientsEarlier, at Databricks, I led solution architecture for large-scale data platform transformations across banking, manufacturing, and pharma — petabyte-scale systems that drove the early adoption of Unity Catalog, serverless compute, and production-grade data engineering.At McKinsey QuantumBlack, I helped build Asia’s first end-to-end MLOps platform for an enterprise — taking 20+ ML models from notebooks to reliable production workflows across distributed business units.Before that, I worked on distributed systems and real-time analytics: pricing engines at Morgan Stanley, recommendation systems for retail, and operational analytics in healthcare and insurance. The constant theme has been making complex systems work reliably at scale.Specializations:• Enterprise AI adoption succeeds through integration — orchestration, observability, and security matter more than any single model.• MLOps at scale is as much organizational design as technical architecture.• Cloud data modernization is a migration problem, not just a tooling problem.• Technical due diligence is pattern recognition — after enough systems, you see the same architectural and team design traps repeat.Technical focus:• AI & ML — multi-agent systems, LLM orchestration, MLOps platforms, production ML infrastructure• Data — Databricks, Spark, Delta Lake, Unity Catalog, data governance, real-time streaming• Cloud — AWS, Azure, Kubernetes, distributed systems, serverless architectures• Engineering — Python, Java, platform engineering, system design, architecture

Experience

1. VP of Engineering

   Fractal

   Apr 2025 — Present · Palo Alto, CA, US

   Led adoption & deployment of Cogentiq, Fractal’s enterprise Agentic platform, for Fortune 500 enterprises driving step-change in productivity and top-line impact• Architected / enhanced the core multi-agentic design pattern for cognitive orchestration, conversational memory layer, auto eval framework• Operating as a cross-functional leader, driving engineering, product roadmap, client onboarding, and GTM• Converted field lessons into product features & creating the operating model between FDE, product, engineering

Education

• Rajiv Gandhi Prodyogiki Vishwavidyalaya

  B.E., Electronics and Telecommunication

  2000 — 2004

Skills

• Business Analysis
• Sybase
• Hadoop
• Ngi
• Oracle
• Cloud Computing
• Svm
• Distributed Systems
• Core Java
• Socket Programming
• Java
• Neo4j
• Activemq
• Unix
• Apache Spark
• Bash
• Mapreduce
• Flask
• Performance Tuning
• Analytics
• Logistic Regression
• Ctrm
• Unix Shell Scripting
• J2ee Application Development
• Kafka
• Hive
• Mongodb
• Spark
• Hbase
• Amazon Web Services (Aws)
• Java Enterprise Edition
• Cdh
• Sqoop
• Sql
• Shell Scripting
• Big Data
• Mahout
• Python
• Etrm