sshub.dev / Sricharan Sunkara's Hub for Development

Sricharan Sunkara

Applied AI Lead · Business Systems Analyst

Building applied AI systems that work in the real world. 8+ years bridging business and technology across retail, e-commerce, and insurance. Now focused on agentic AI and human-in-the-loop workflows.

Projects

Synthetic Focus Group as a Service for Canada

Describe your target audience, paste your content. Get instant reactions from AI personas grounded in 30+ real Canadian data sources. A LangGraph pipeline searches a persistent database of 5,000+ census-grounded personas, generates new ones to fill gaps, and runs concurrent reactions via five LLMs through OpenRouter. Aggregates sentiment, optimizes your message, and re-tests it.

LangGraph Multi-LLM Orchestration Synthetic Personas Sentiment Analysis

Verifiable Agentic Workflows

A framework that treats AI like an apprentice. Upload a document and the system extracts structured data, shows an ingestion plan in plain language, and waits for human sign-off before executing. Three stages, three models, human checkpoints at every step. The system earns autonomy through measured performance: from hands-on review, to auto-approving high-confidence results, to overnight batch processing with exception-only alerts. First domain: HR attendance compliance with policy extraction, points-based discipline, and full audit trail.

Agentic Workflows Human-in-the-Loop Multi-Model Pipeline Document Intelligence

Personal AI Assistant That Learns From Research and Evolves

After completing a 10-day OpenClaw course, I kept building. SAI is what came next: a personal AI assistant I use daily - it sends AI news digests via Telegram, reads my Google Calendar, triages email, and summarizes research papers on a schedule. On top of that, it improves itself: SAI ingests papers into a ChromaDB vector database, uses RAG to propose changes to its own operating rules, and waits for per-diff human approval before applying anything. Built with a 5-layer security model, multi-source research fetcher, and tiered knowledge base. Runs on a self-managed Hetzner VPS alongside monitoring, notes, and status dashboards.

RAG Pipeline ChromaDB Self-Improving Agent Human-in-the-Loop Multi-Source Ingestion Docker + Nginx

10-Phase Methodology for Applied AI Systems

A generalized framework distilled from shipping MaplePulse, Apprentice, and SAI.

01 Research 02 Data 03 Prototype 04 Prompts 05 Pipeline 06 Full-Stack 07 Observability 08 Evals 09 Deploy 10 Demo
Prompt Engineering Pipeline Design Trust Lifecycle Human-in-the-Loop

AI & ML Experiments

Certifications

OpenClaw Mastery For Everyone

LevelUp Labs · March 2026