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mishuhaque/README.md

👋 Hi, I'm Ahshanul Haque (Mishu)

🚀 AI/ML Engineer | PhD Researcher | Problem Solver | Builder of Intelligent Systems

I specialize in designing AI systems that automate repetitive, costly, and error-prone tasks — delivering time savings, cost reduction, and smarter workflows.
My work combines AI/ML research with production-grade software engineering to make advanced tech useful in real-world settings.


🏆 Highlight Projects

  • 🔹 Chatbot Guardrails → A lightweight FastAPI plugin to reduce LLM hallucinations using RAG, FAISS, and validation pipelines. Deployable with Docker/K8s.
  • 🔹 AI Grader (LoRA + RAG) → Automates grading using rubrics + lecture context. Cuts weeks of manual work into hours.
  • 🔹 PolicyBot → Summarizes company policies from 100+ page docs into crisp answers. Built with LangChain + RAG.
  • 🔹 Healthcare AI Assistant → Explains medical reports in plain English for patients and doctors.

💡 What I Do

  • ✅ Build RAG pipelines that connect LLMs to trusted enterprise data sources
  • ✅ Apply LoRA fine-tuning to adapt models efficiently for domain-specific tasks
  • ✅ Architect AI chatbots, APIs, and dashboards that slot into business workflows
  • ✅ Deploy end-to-end systems with FastAPI, Docker, Kubernetes, Terraform
  • ✅ Solve complex engineering problems across Python, Java, Node.js, SQL
  • ✅ Bridge academic rigor (PhD research in AI/ML) with industry impact

⚙️ Tech Stack

  • Languages: Python, Java, Node.js, SQL
  • AI/ML: PyTorch, Hugging Face, Transformers, LangChain, RAG, LoRA
  • Deployment: FastAPI, Docker, Kubernetes, Terraform, AWS, GCP, TFS
  • Specialties: Edge AI, Policy Automation, Secure Coding, Workflow Optimization

🌟 Recognition

  • 📑 21+ publications in AI/ML, Wireless Sensor Networks, and Healthcare AI
  • 🎓 PhD Researcher (AI/ML, Forest Fire Prediction, Intrusion Detection)
  • 📝 Reviewer for Springer Nature journals
  • 🔬 Experience with large-scale simulations, anomaly detection, and edge AI

📫 Connect


⚡ Philosophy

“AI is only valuable when it solves real problems at scale. My mission is to bridge cutting-edge research with production-ready solutions.”

Pinned Loading

  1. ai-grader-lora-ragai-grader-lora-ragPublic

    AI-powered grading assistant that combines **LoRA fine-tuning** and **RAG** to evaluate student answers using rubrics and lecture context, reducing grading time from weeks to hours.

    Jupyter Notebook

  2. policybot-aipolicybot-aiPublic

    AI-powered assistant using **RAG + LangChain** to retrieve and summarize company policies, cutting lookup time by 80% and reducing HR/IT workload.

    Python 1

  3. hiresmarthiresmartPublic

    AI system using **RAG + LangChain** to rank candidates based on past hiring outcomes, delivering consistent, explainable, and bias-reduced hiring decisions.

    Python

  4. chatbot-guardrailschatbot-guardrailsPublic

    A FastAPI-based guardrails plugin that reduces chatbot hallucinations using RAG (FAISS + sentence-transformers). Docker-ready, easy to integrate into enterprise LLM workflows.

    Python