Hi, I am
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Building enterprise SaaS workflows at Zoho with strong backend reliability and integration depth.
Engineering data science and ML systems end-to-end: RAG retrieval pipelines, model evaluation, and production APIs.

name: Nithesh Kanna
role: Member Technical Staff @ Zoho
focus: backend, integrations, ML systems
education: IIT Madras, BIT
status: open to impactful engineering
Software engineer focused on practical, scalable, and dependable product systems.
I currently work on Zoho Payroll US, where I build and improve enterprise integrations used in real customer operations. My work spans high-trust backend systems, tax and reimbursement workflows, and production data integrity.
Alongside backend engineering, I actively build applied ML systems including OCR-driven computer vision and RAG-powered assistants. I enjoy creating tools that solve practical problems and help teams move faster with confidence.
Balanced across backend delivery, AI engineering, data systems, and execution quality.
Most recent experience first, with delivery details and impact highlights.
Member Technical Staff
Working on Zoho Payroll US to improve enterprise workflows, customer experience, and integration reliability.
Technical Trainee
Contributed to Zoho Finance backend quality and resolved practical integration and payroll issues.
Machine Learning Engineer Intern
Designed object detection experiments using custom datasets and production-style CV pipelines.
Focused builds across backend systems, AI/ML, and computer vision workflows.
Detects vehicle plates and supports smart barrier entry tracking.
Social blogging platform with search, reactions, and discovery feeds.
Connects sponsors and influencers with campaign negotiations and analytics.
Role-based assistant that gives contextual hints using RAG workflows.
Interactive snippets from representative projects and implementation patterns.
Open to collaboration, product engineering discussions, and challenging builds.