I build AI systems that create real business leverage - not demos, but production infrastructure that scales. My work sits at the intersection of AI engineering, security, and product strategy, with a track record of $50M+ in measurable business impact across Fortune 100 companies and high-growth startups.

Currently, I lead AI security engineering at Symosis Security, architecting GenAI workflows for security analytics and evidence-based risk scoring. In parallel, I drive the InfoSec Custom SSPM initiative as a Machine Learning Consultant at LinkedIn - spanning 21+ applications across 50+ environments on Azure Databricks.

I have founded and led engineering at multiple AI companies: co-founded Referrio, served as Head of Engineering at BreatheIT, and was a Founding Engineer at Flair Labs (Y Combinator F24). Earlier, as an Analyst at Deloitte, I served multiple Fortune 500 clients delivering significant business impact.

My technical range covers the full delivery stack: React, Next.js, Node.js, Python, FastAPI; cloud-native architecture on Azure, AWS, and GCP; and AI/ML systems built on LangChain, RAG, and large language models. I hold an MS in Computer Science (AI) from Illinois Institute of Technology.

Pranav Saji - AI Leader and Tech Entrepreneur in San Francisco

Who is Pranav Saji?

Who is Pranav Saji?

Pranav Saji is an AI Leader, Tech Entrepreneur, and Full-Stack Engineer based in the San Francisco Bay Area. He is currently Head of AI Security at Symosis Security and a Machine Learning Consultant at LinkedIn, with over $50M in business impact delivered across Fortune 500 clients and high-growth startups. He was previously an Analyst at Deloitte and a Founding Engineer at Flair Labs (Y Combinator F24).

What does Pranav Saji do?

Pranav Saji builds AI-first platforms and enterprise security systems. He leads AI security engineering at Symosis Security and heads LinkedIn's Custom SSPM initiative on Azure Databricks, spanning 21+ applications across 50+ environments. He has co-founded multiple startups and led engineering teams across AI, full-stack, and cloud infrastructure.

Where is Pranav Saji located?

Pranav Saji is based in the San Francisco Bay Area, California, USA.

What is Pranav Saji's education?

Pranav Saji holds an MS in Computer Science with a specialization in Artificial Intelligence from Illinois Institute of Technology, and a Bachelor of Technology in Electronics & Communications Engineering from Model Engineering College.

Impact by the Numbers

$50M+
Business impact delivered across clients & ventures
5+
AI companies founded, co-founded, or led as CTO / Head of Engineering
20+
Clients from Fortune 100 companies to multiple successful startups

Education

Illinois Institute of Technology

Master of Science - Computer Science

Specialization in Artificial Intelligence

Chicago, IL

International Institute of Information Technology Bangalore

Executive Post Graduate Programme

Machine Learning and Artificial Intelligence

Bangalore, India

Model Engineering College

Bachelor of Technology - Electronics & Communications Engineering

Kerala, India

Certifications

CompTIA Security+

CompTIA

Microsoft Certified: Azure AI Engineer Associate

Microsoft

Oracle Cloud Infrastructure 2024 Generative AI Certified Professional

Oracle

Academy Accreditation - Azure Databricks Platform Architect

Databricks

Academy Accreditation - Databricks Fundamentals

Databricks

Academy Accreditation - Generative AI Fundamentals

Databricks

Building Agentic Workflows with LlamaIndex

DataCamp

Multi-Agent Systems with LangGraph

DataCamp

Building Scalable Agentic Systems

DataCamp

Career Essentials in Generative AI by Microsoft and LinkedIn

Microsoft

Generative AI: Working with Large Language Models

LinkedIn

Installing, Running and Testing LLMs on Your Local Computer

LinkedIn

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Coursera

Neural Networks and Deep Learning

Coursera

Structuring Machine Learning Projects

Coursera

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Coursera

Introduction to FPGA Design for Embedded Systems

Coursera