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himmat12/README.md

Hi, I'm Himmat Rai 👋

Computer Science student at De Montfort University · Software Engineer · Systems and AI Infrastructure Enthusiast

I build backend services and infrastructure focused projects, with interests in distributed systems, secure software delivery, privacy-preserving AI, and performance systems engineering.

I recently completed a Software Engineering placement at NEXT, where I contributed to production supply-chain logistics systems using C#, ASP.NET Core, SQL Server, Azure, and REST APIs. My work included backend development, database design, secure service migrations, testing, deployment, and technical documentation.

Current Focus

  • Backend and distributed systems engineering
  • Linux, Docker, networking, and self-hosted infrastructure
  • Reliable APIs, databases, and secure service integration
  • Privacy-preserving LLM inference and systems performance
  • Algorithms, data structures, and systems programming

Selected Work

  • Local LLM Inference Service Infrastructure
    Docker Compose-based Ollama inference service deployed on a Linux homelab server, with container isolation, persistent model storage, a Python client, Tailscale-based private access, and GitHub Actions deployment automation.

  • Containerised Parallel Compute Pipeline
    A Python, Celery, Redis, and Docker pipeline that distributed prime-factorisation work across four workers and reduced runtime by 26%.

  • Medical AI Triage - Realtime Conversational Voice Bot POC
    A real-time conversational medical voicebot prototype powered by Infremedica Engine API and built with Python, FastAPI, SQLite, Pipecat, Daily, and STT, LLM, and TTS audio processing pipeline for structured patient-intake workflows and triage.

Research

I am undertaking supervised research with a Senior Lecturer in Big Data and Machine Learning at De Montfort University. My current work explores privacy-preserving LLM inference, including fully homomorphic encryption, latency and communication-cost trade-offs, ciphertext–plaintext hybrid computation, and private adaptation approaches.

Tech

Python · C# · SQL · JavaScript · TypeScript
ASP.NET Core · FastAPI · REST APIs
Docker · Linux · GitHub Actions · Azure DevOps · Tailscale
SQL Server · PostgreSQL · SQLite · Redis

Connect

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  1. medical-ai-triage-poc medical-ai-triage-poc Public

    A real-time conversational voicebot for primary care frontdesk delivered as a 6 week De Montfort University ACE Summer internship project delivery to the local GP based in Leicester.

    Python

  2. local-llm-inference-service-infra local-llm-inference-service-infra Public

    A Docker-based local LLM inference service infrastructure that runs an Ollama serivce and serves the local models inferense service securely via tailscale.

    Python

  3. containerised-parallel-compute-pipeline containerised-parallel-compute-pipeline Public

    A containerised parallel distributed compute pipeline for experimenting with parallel workloads using Docker Compose, Celery, and Redis.

    Python

  4. postgres-rls postgres-rls Public

    Multi-Tenancy, Least privilege design, NORM and postgres RLS implementation to keep data secure and isolated between multiple tenants within shared database in Saas systems.

    PLpgSQL

  5. blog-articles blog-articles Public

    This repo holds all technical writings authored by me whilst on my learning journey which covers nitty gritty of computer science fundamentals such as Networks & Operating Systems concepts, and Sy…

  6. aes-256-encryption-cli aes-256-encryption-cli Public

    A lightweight utility CLI to facilitate secure cryptographic AES-256 Key based Encryption.

    C#