Arijit Saha
Chief Technology Officer at Redica Systems
Building scalable data and AI systems for regulated, high‑impact industries.
About
Strategic technology leader driving innovation in regulated markets.
I serve as the Chief Technology Officer at Redica Systems, where I lead the development of enterprise AI and data platforms. My focus is on transforming complex data into actionable intelligence for the life sciences industry.
Previously, I was CTO at Noodle.ai and VP of Technology at Goldman Sachs. My career has been defined by building resilient, scalable systems that solve high-stakes problems in supply chain and finance.
Education
- Executive MBAQuantic School of Business and Technology
- Certificate in Business Analytics & IntelligenceIndian Institute of Management Bangalore
- B.E., Mechanical EngineeringVisvesvaraya Technological University
Experience
Chief Technology Officer
2022 - PresentRedica Systems
Leading AI & Data Strategy for Life Sciences Intelligence.
Chief Technology Officer
2016 - 2022Noodle.ai
Pioneering Enterprise AI for Supply Chain Efficiency.
VP Technology
2011 - 2016Goldman Sachs
Engineering high-frequency trading and risk systems.
Software Project Manager
2003 - 2011Infosys Technologies Ltd
Delivering large-scale enterprise software solutions.
Technical Focus
AI & Machine Learning Systems
Architecting scalable inference engines and training pipelines for enterprise-grade predictive models.
Data Engineering & Pipelines
Building resilient ETL/ELT workflows handling terabytes of structured and unstructured data.
Entity Resolution & Identity Graphs
Solving complex record linkage problems to create unified views of entities across disparate datasets.
Cloud SaaS Architecture
Designing multi-tenant, secure, and highly available cloud-native applications on AWS and Azure.
Predictive Analytics in Regulated Domains
Delivering explainable AI solutions that meet strict compliance and auditability standards.
“Clarity in data creates
confidence in decisions.”
Thought Leadership
The Future of AI in Regulated Industries
TechCrunch InterviewExploring how LLMs can be safely deployed in life sciences and finance without compromising compliance.
Scaling Data Platforms: Lessons from Goldman Sachs
Medium ArticleArchitectural patterns for high-throughput, low-latency systems that stand the test of time.
Entity Resolution at Scale
Redica Systems BlogWhy identity graphs are the backbone of modern data intelligence and how to build them effectively.
Leadership in Engineering
Podcast AppearanceBuilding high-performance teams by fostering a culture of technical excellence and psychological safety.
Signature Work
Supply Chain AI Patent
Co-inventor of a system for probabilistic inventory optimization.
Redica Intelligence Platform
Architected the industry's first unified regulatory data graph.
Low-Latency Trading Infrastructure
Engineered core execution systems handling billions in daily volume.