Hi, I'm Hariharan S

Serving in a "builder + owner" capacity as an AI Engineer at Quadratyx, focusing on the deployment and operational reliability of data-driven capabilities.

Key Responsibilities:

• Owning the end-to-end delivery of production-grade ML systems for <strong>GenAI</strong>, <strong>NLP</strong>, and personalization
• Architecting robust ETL/ELT systems and scalable data pipelines to transform disparate data sources into high-quality, ML-ready datasets
• Driving MLOps as a core discipline by building CI/CD-aligned workflows, automated testing, and deployment infrastructure
• Exposing model and data capabilities through versioned APIs aligned with microservices architecture for seamless real-world integration
• Partnering directly with clients to lead problem discovery, translate business needs into scalable technical solutions, and ensure measurable success

Architected and built an AI-powered 'Life Operating System' combining agentic automation with gamified wellness.

Key Highlights:

• Designed a 6-engine architecture: Observer, Coach, Hands, Law Book, Engine, and Forge
• Built Flutter mobile app with real-time biometric visualization (Health Connect API, Rive)
• Implemented state-driven gamification with stress detection (HR/HRV analysis)
• Cloud: Google Cloud Functions, Vertex AI (Gemini 2.5 Flash), Firebase Firestore

Outcome: Pivoted after discovering YC-backed competitors. Gained deep expertise in agentic AI systems and real-time mobile visualization.

Developed and maintained core API infrastructure for Zoho's Speech-to-Text (STT) service.

Key Achievements:

• Reduced MTTR by <strong>45%</strong> through observability and automated incident response
• Owned end-to-end delivery: CI/CD workflows, deployments, and production SLAs
• Optimized STT model inference latency for real-time transcription
• Managed Python dependencies and logging infrastructure

Built a dynamic performance dashboard for an annotation platform adapted from Intel's CVAT.

Key Achievements:

• Designed REST API syncing MongoDB data for real-time performance metrics
• Integrated with proprietary annotation system for machine learning workflows

Engineered, initiated, and fully deployed the scalable Python/Django REST API backend for a new Influencer Marketing Platform, while maintaining CI/CD and ensuring clean, high-quality code.

Focused on core Python/Django REST API development, building a foundational Chat Application, and customizing Admin/Workflow Dashboards (MS SQL) for client projects.

Completed a virtual internship focused on Machine Learning with Python. Led a team of 20 members to build and train an ML model for human classification in collaboration with zebo.ai.