Executive Summary
32 Agents 102 IssuesInfrastructure sprint S1 is complete — all 5 skills deployed, Postgres memory schema live with 4 tables, Paperclip re-exported and synced to git. This unblocks both StreamVault v3 redesign and AI/ML Quest content enrichment, both now activated in backlog. Kokilla pipeline is production-ready with 15 workflows deployed and first video delivered ($4.75, 54 seconds) — awaiting fresh E2E validation via Telegram. Job search entered Phase 3 — resume and LinkedIn complete, first 10 applications next. Paperclip AI orchestration in 30-day observation phase (checkpoint April 28, 32 agents, $115/mo cap).
Personal IPTV streaming for mobile, desktop, and TV (Fire Stick, Samsung Smart TV)
Backend is production-complete with 54 tests and Xtream Codes provider abstraction. Frontend v1 was hardened with 150+ PRs and the global player rebuilt using a state machine architecture. But the UI is bad — we're doing a complete v3 redesign from scratch with a UX-first approach. 10-sprint plan with 38 issues is staged and ready.
- 1,996 unit tests passing
- 74 E2E tests active
- Sprint 4 global player rebuild shipped
- 150+ PRs merged across frontend hardening
UX research phase — Dribbble, Pinterest, 21st.dev analysis. 10-sprint v3 plan with 38 issues is ready to activate.
AI cinematic Telugu music video generator — 4-min songs into 16–24 scene videos
Fully automated pipeline with 15 production n8n workflows. Handles ingestion, creative direction, GPU rendering on Vast.ai (FLUX + HunyuanVideo), assembly, and Telegram delivery. Event-driven architecture with two approval gates — script review and character preview. First video delivered March 10th: 8 scenes, 54 seconds, $4.75.
- 15 workflows deployed to production n8n
- First video: 8 scenes, 54s runtime, $4.75 cost
- HunyuanVideo 1.5: 8.7x faster generation
- Cost optimizable to under $1/video with batching
Fresh E2E test via Telegram to validate full pipeline health end-to-end. No code needed — just execution.
Interactive gamified AI/ML learning platform — 54 levels across 5 chapters with 8 game types
Core platform built with Next.js 15 and React Flow v12. Design system complete with Linear Look theme. Sprints 1–7 shipped core UI, node explorations, analogies, and glossary tooltips. Live at quest.srinivaskotha.uk. Content enrichment for chapters 2–5 is planned but waiting on infra sprint clearance.
- 54 levels live at quest.srinivaskotha.uk
- 45 unit tests passing
- PWA support enabled
- Sprint 7 UX polish shipped
Sprints 8–10 — enrich chapters 2–5 with React Flow explorations, D2 diagrams, and visual assets. 10 issues ready in backlog.
Production-grade skill ecosystem, Postgres memory layer, and AI agent orchestration platform
3-sprint initiative. S0 (audit) and S1 (install) are COMPLETE — 5 new skills deployed, Postgres claude_memory schema live with 4 tables, and Paperclip re-exported to git. 32 agents configured with $115/mo budget cap. Currently in 30-day observation phase with checkpoint April 28. S2 validation (skill testing + token measurement) is backlog.
- 5 skills installed: ui-design-system, ux-researcher-designer, playwright-pro, skill-security-auditor, landing-page-generator
- 4 Postgres tables live in VPS n8n DB (claude_memory schema)
- 32 agents configured with wakeOnDemand=true
- 89 Paperclip issues tracked, managed across 4 active goals
S2 validation — test agent heartbeats with new skills, measure token usage per heartbeat, verify budget governance.
Senior Full Stack + AI/LLM role — Dallas or Remote, 60-day plan started March 18
Phases 1 and 2 are complete: resume tailored for AI/LLM roles, LinkedIn profile optimized, skills inventory documented. Phase 3 is next — setting up job alerts and submitting first 10 targeted applications. The main constraint is time competing with active project work.
- Resume tailored for Senior Full Stack + AI/LLM roles
- LinkedIn profile optimized with targeted positioning
- Skills inventory complete
Set up Simplify.jobs alerts for Senior Full Stack + AI/LLM positions. Submit first 10 targeted applications with tailored cover letters.
AI 3D design-to-print pipeline for heritage Indian crafts — pottery, temples, kolam patterns
Pivoted from OpenSCAD (scored 1.93/5.0 in evaluation) to Hunyuan3D 2.1 which generates valid GLB models in 13.6 seconds. Sprints 0–6 complete with 11 local skills and 5 product designs built. Sprint 7 validation — fidelity testing of pottery, temple, and kolam outputs — is on hold pending HuggingFace Pro access.
- 11 local skills built
- 5 product designs: pottery, temple, kolam, bracelet, pendant
- Hunyuan3D 2.1: 2.5MB GLB in 13.6 seconds
- OpenSCAD scored 1.93/5.0 — correctly pivoted away
Sprint 7 — validate pottery, temple, and kolam designs against fidelity rubric. Requires HuggingFace Pro ($9/mo) decision.