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DevAsadYasin/README.md
Asad Yasin

LocationRemoteExperienceOpen to


I am a Full Stack Software Engineer with 6 years of experience building production web applications from the ground up. Frontend and backend are both part of how I work day to day: clean interfaces, solid APIs, and systems that hold up as traffic and complexity grow.

I own delivery end to end: product architecture, React and Next.js UIs, Python and Node backends, CI/CD, and cloud infrastructure across AWS, GCP, and Azure. That spans full time product work, client engagements, and independent builds through 13Stack, my software studio. Alongside the featured work below I have shipped many other systems, from employee communication platforms and fintech data pipelines to internal tooling and SaaS products. Where it fits, I also bring AI and LLM capabilities into those products without letting the stack become the story.

Open to select freelance and consulting work when the problem is interesting and the fit is right.


Skills

Languages
& Frameworks
PythonFastAPIDjangoFlaskTypeScriptJavaScriptReactNext.jsNode.jsNestJSRuby on Rails
AI, LLM
& Vector Search
RAG PipelinesLLM IntegrationLangChainLangfuseOllamaHugging FacepgvectorPineconeChromaDBFAISSModel Context Protocol
Data
& Storage
PostgreSQLMySQLMongoDBNoSQLRedisRedshiftSupabase
Infra
& DevOps
DockerCeleryPrefectRabbitMQGitHub ActionsAzure DevOpsJenkinsGitLab CIBitbucket Pipelines
CloudAWSGCPAzureVercel

Featured Work

A sample of recent client and product work, not the full list. Across full time roles and independent projects I have also built employee communication platforms, fintech data delivery systems, Rails upgrades with modern frontend stacks, and smaller SaaS and tooling experiments.

AI powered email marketing SaaS for personalized, high converting campaigns at scale. Led the core architecture with FastAPI, Redis, and Celery to handle high volume data and automated copy generation under heavy concurrency, with careful token cost control and API rate limiting.

Web platform for HVAC engineering workflows, focused on smart local client data management and efficient backend state sync so teams can move quickly without fighting their tools.

YouTube to podcast feed conversion platform, delivered end to end from backend media processing to a clean, user facing experience.

Cloud based HR management platform that automates repetitive administrative work and gives teams clearer, data driven insight into people and process.

Lease management platform covering infrastructure setup, a multi step lease wizard with PDF generation, and a Property Profiles system for organizing lease related data.

Scheduling and booking SaaS under 13Stack. Waitlist gated onboarding, a streamlined booking flow, and infrastructure across FastAPI, Next.js, GCP, Vercel, and Supabase with Docker based deployment.


Open Source & Experiments

Beyond client and product work, I experiment with new product ideas, open source tooling, and systems that stretch full stack delivery. My pinned repositories below include production grade examples across backend services, frontend apps, MCP servers, and applied AI where it adds real value.

npm versionnpm downloadsMIT licenseMCP

An MCP server that remembers what coding agents have already tried, ruled out, and solved, so nobody, human or agent, re-investigates the same dead end twice across sessions, branches, and tools. Most memory tools record what is true; this one gives first class structure to what was investigated and eliminated, chained together as a single investigation trail for clean handoffs and commit messages.


GitHub Stats

DevAsadYasin GitHub statsGitHub streak stats
Most Used Languages

Connect

EmailLinkedInXUpwork


Let's build something. Happy to talk about collaboration, freelance, or consulting when there is a clear problem worth solving.

Pinned Loading

  1. sentiment-analysis-pipelinesentiment-analysis-pipelinePublic

    Complete MLOps sentiment analysis pipeline: Python CLI + REST API + Docker + Monitoring + CI/CD. Battle-tested with 24 test cases and production-ready deployment scripts.

    Python

  2. pfce-point-segmentationpfce-point-segmentationPublic

    Point-supervised remote sensing segmentation using partial CE/focal losses on simulated clicks, with LoveDA and synthetic benchmarks, reproducible training, and experiment logging.

    Python

  3. hr-faq-rag-chatbothr-faq-rag-chatbotPublic

    A production-ready, local-first HR FAQ Chatbot using LangChain, FAISS, and hybrid search. Supports multiple LLMs (OpenRouter/Gemini) with CLI and API.

    Python

  4. multi-agent-rag-systemmulti-agent-rag-systemPublic

    A production-grade multi-agent RAG system using an Orchestrator pattern with LangChain, specialized domain agents, and full Langfuse observability.

    Python

  5. mcp-customer-support-chatbotmcp-customer-support-chatbotPublic

    A Customer Support Chatbot integrating Model Context Protocol (MCP) for product/order lookups and OpenRouter for LLM reasoning. Gradio UI.

    Python

  6. elim-mcpelim-mcpPublic

    An MCP server that records what coding agents have already tried and ruled out, preventing repetitive debugging dead-ends across sessions.

    TypeScript