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HarshithNayakaL/HarshithNayakaL

HarshithNayakaL/HarshithNayakaL

GitHub profile of Harshith Nayaka L, an AI engineer in Bengaluru building AI agents, RAG pipelines, LLM applications and full-stack systems.
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0 ★ · HarshithNayakaL/HarshithNayakaL · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
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收录于 2026-10-10 · 最近见到 2026-10-10 · 共见到 1 次 · 被 1 个来源列出
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仓库 HarshithNayakaL/HarshithNayakaL;我们收录于 2026-10-10;最近见到 2026-10-10。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
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Harshith Nayaka L

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

AI Engineer in Bengaluru (Bangalore), India. I build AI agents, RAG
pipelines and LLM applications. Currently AI Engineer at DemandNXT
(AI Engineer – Full Stack).
Most of my work lives in the gap between "the model gave an answer" and "the
system did the right thing reliably." Orchestration, structured outputs,
validation, and handling the ways models fail.
Selected work
| Project | What it is |
|---|---|
| **Octo** | Self-hosted AI research workspace built on OpenAI's Agents API, with Google Antigravity run alongside as a free-tier execution layer. Market intelligence, ICP-based sales research, continuous monitoring, cited reports and CRM integration. |
| **Maestro** · live | Multi-model orchestration engine. A conductor routes one task across thinker / worker / verifier roles and returns a verified answer with a full, replayable decision-log. |
| **BrandForge** | AI brand-to-campaign engine. Turns a brand website and a product photo into on-brand campaign creative, using Playwright, Gemini, GPT Image and n8n. |
Claude skills
| Skill | What it does |
|---|---|
| **ui-ux-taste-skill** | Discovers a user's UI taste from reference moodboards instead of vague adjectives, then locks in a stack pick and an ASCII wireframe. |
| **linkedin-algorithm-source** | LinkedIn skill built from LinkedIn Engineering's published ranking mechanism, and explicit about which popular rules are folklore. |
| **x-algorithm-source** | X strategy and writing skill derived from the open-sourced For You algorithm — real ranking weights, filter stack and credibility model. |
| **humanizer-claude-skill** | Strips AI tells from prose and scores how human it reads. --check scores 0–100 for CI, --fix rewrites. |
Also built
| Project | What it is |
|---|---|
| **CUSTOM-GPT** (Nova) | Model router. Reads query complexity and routes simple asks to cheap models, hard reasoning to stronger ones, to hold down per-chat cost. |
| **Cannon** · live | Multi-agent assistant. Each domain is an independent specialist — isolation enforced at the query, not by convention. Typed provider fallback (Groq→Gemini). 91 unit + 13 e2e tests. |
| **ReplyDesk** | WhatsApp lead agent replying in ~8s, with a live dashboard for lead feed, pipeline and response-time KPIs. |
| **CraftConnect** | Multi-modal assistant letting artisans run a storefront by talking and showing. Semi-finalist, Google Cloud Gen AI Exchange Hackathon 2025 (270,000+ developers). |
来源
github · https://github.com/HarshithNayakaL/HarshithNayakaL
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