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@dynarqai @poplygo

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agentdynarq/README.md
Hasitha Bandara — Founder of Dynarq, AI & Product Engineer



hasithabandara.com



views   poplygo   dynarq

About

I build intelligent web products and the systems that run them. I am the founder of Dynarq, a small studio shipping AI-driven websites and custom software for real businesses. My latest product is Poplygo, a live audience platform that is already used in lecture halls and workshops.

Outside of shipping products, I work on the AI side directly: I train and fine-tune language models, and I design tooling and skills for AI agents. I am a Software Engineering undergraduate at NSBM, but most of what I know comes from building things people actually use, under real deadlines.

Everything in one place, including my writing: hasithabandara.com


Selected work

Poplygo
flagship
Live Q&A and polling for any audience. Anonymous questions with upvoting, real-time polls, a moderation queue, present mode for projectors, an OBS/vMix stream overlay, QR-code join, and CSV export. Free, no signup, works on any device. Built for educators and presenters.
Dynarq
studio
My software studio: intelligence-driven web solutions. AI integration, custom business software, workflow automation, and cloud deployment. From idea to a system that runs itself.
TUTUS
product
A lightweight Windows app that locks sensitive desktop apps behind master-password authentication. Offline, quiet in the background, and free.

What I work on

  • AI / ML  →  LLM training and fine-tuning, evaluation, agent tooling and skill design, RAG and automation pipelines.
  • Product engineering  →  full-stack web apps taken from concept to production.
  • Cloud & infra  →  deployment, APIs, and real-time systems.

Tech


Open source

Small, real, tested tools I have built. Every one runs and has CI passing.

  • rag-pipeline  →  a retrieval-augmented generation pipeline from scratch: chunk, embed, FAISS, retrieve, grounded answers.  t1
  • dynarq-agent  →  a minimal AI agent runtime with a tool/skill interface and a tool-calling loop.  t2
  • llm-finetune-lab  →  LoRA / PEFT instruction fine-tuning with prompt masking.  t3
  • llm-eval-harness  →  deterministic evaluation of model answers (exact match, F1, ROUGE-L, LLM judge).  t4

Where these are heading: AI Engineering Roadmap.


Activity

streak



Connect



make it work, make it clean, then ship it

Pinned Loading

  1. rag-pipeline rag-pipeline Public

    A retrieval-augmented generation (RAG) pipeline from scratch: chunk, embed, FAISS vector store, retrieve, and answer over your own documents with citations. Runs locally, no GPU.

    Python

  2. llm-finetune-lab llm-finetune-lab Public

    Instruction fine-tuning a language model with LoRA (PEFT + transformers): prompt-masked SFT, adapter training, and generation. Defaults to TinyLlama, runs on Colab.

    Python

  3. llm-eval-harness llm-eval-harness Public

    A deterministic evaluation harness for LLM answers: exact match, token-F1, ROUGE-L, contains, and an optional LLM-as-judge. No dependencies for the core metrics.

    Python

  4. dynarq-shield dynarq-shield Public

    Prompt-injection and data-leak firewall for LLM apps. Pure-Python, zero runtime dependencies: scores untrusted input for injection/jailbreak/evasion and screens model output for leaked secrets and …

    Python

  5. dilly dilly Public

    A free, grounded AI chat assistant for a personal site, on Cloudflare Workers AI. Server-side, streaming, no exposed keys.

    JavaScript

  6. founder-skills founder-skills Public

    Founder OS: the Claude Code skill set every startup owner should have. 11 skills for investor updates, pitch decks, discovery, pricing, outreach, hiring, and launches.