Rishabh Raj — CTO
At Intel, I drive the architecture, high-level system design, and performance tuning for critical enterprise platforms. My focus is on identifying systemic inefficiencies and building scalable microservices that deliver measurable business impact, while remaining deeply hands-on with the codebase. For example, I architected and actively coded the end-to-end reengineering of our cross-geo file transfer system, reducing transfer times from 20 minutes to just seconds. I also spearheaded the redesign of our location engine to better process complex fingerprinting data, significantly enhancing overall data accuracy and processing speed. Furthermore, I integrate AI into our ecosystem, leveraging vector databases, LangChain, LangGraph, and LLMs to streamline information retrieval and improve developer workflows across the organization. Well-versed in modern DevOps practices, I handle end-to-end infrastructure setups and scalable deployments on Kubernetes. Taking a language-agnostic approach to problem-solving, I frequently rely on C#, Python, and .NET Core to build secure, high-performance APIs and resilient cloud systems. Core Technical Skills • Architecture & System Design: Microservices, API Design (REST, SOAP), Scalability, Security, Performance Tuning. • AI & Machine Learning: LLMs, LangChain, Retrieval-Augmented Generation (RAG), AI Agents, LangGraph • Languages & Frameworks: Language-agnostic approach with deep expertise in C#, Python, SQL, JS, PowerShell, Java, .NET Core, .NET Framework, Entity Framework Core. • Cloud, DevOps & Infrastructure: Kubernetes, AWS, Docker, GitHub Actions (CI/CD), Rancher, Harbor, Helm. • Databases & Vector Stores: ChromaDB (Vector DB), Oracle, SQL Server, MySQL, Redis. • Tools & Observability: ELK Stack (Elasticsearch, Logstash, Kibana), Git, Maven, Gradle
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the SaaS industry.
Location: Bengaluru, Karnataka, India
Experience: 12 yrs 3 mos
Skills
- Architecture & System Design
- Cloud, Devops & Infrastructure
- Ai & Machine Learning
Career Highlights
- Architected scalable microservices for enterprise platforms.
- Reduced file transfer times from 20 minutes to seconds.
- Integrated AI to enhance information retrieval and workflows.
Work Experience
Intel Corporation
Technical Lead (5 yrs 5 mos)
Deloitte India (Offices of the US)
Consultant (1 yr 10 mos)
PwC India
Technology Consultant (1 yr 5 mos)
Cognizant Technology Solutions
Software Engineer (3 yrs 6 mos)
Education
Bachelor of Engineering (BEng) at Visvesvaraya Technological University
AISSCE at Surendranath Centenary School