Praveen Kumar

Python Full Stack & AI Engineer, 3+ years

I build software people can talk to.

I build production SaaS end to end with Python, FastAPI, PostgreSQL and Angular, and I add AI where it does real work: LLM assistants, voice in four languages and structured outputs that drive actions.

What staff ask AIOpsCare, my hospital operations product, by voice or chat:

Reporting a fault

“The AC in the ICU isn't working.”

Creates a maintenance ticket and assigns it to the right team.

Works in English, Hindi, Telugu and Tamil.

Praveen Kumar

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At a glance

For recruiters: the short version. Full CV (PDF)

Role
Python Full Stack & AI Engineer
Experience
3+ years across 3 companies
Based in
Hyderabad, India
Core stack
Python, FastAPI, Django, PostgreSQL, Angular, TypeScript
AI
OpenAI GPT-4o, Groq / Llama 3.3, Speech-to-text & TTS, Ollama
Looking for
Software engineer, Python / full stack developer and AI engineer roles
  • 10+

    product modules built in AIOpsCare, from tickets to compliance

  • 4

    languages understood by the voice assistant I built

  • 1.66×

    measured speedup from SwarmAI across two machines

  • 3

    companies, building production software since 2022

Worked at AiOpsCare, Nushift Technologies and SNAD Developers Pvt Ltd.

Selected work

Four projects, from a SaaS product hospitals can use by voice to an experiment in running language models across several machines.

AI-Powered Hospital Operations SaaS

AIOpsCare

A multi-tenant, voice-first SaaS platform for hospital operations and compliance — assets, maintenance, tickets, contracts, housekeeping, laundry, utilities and workflows — with a multilingual AI voice assistant and LLM-powered dashboard chat and reports.

What the AI does

  • Multilingual voice assistant
  • Voice-to-ticket creation
  • AI dashboard chat
  • AI narrative reports
  • Provider-agnostic LLM layer with fallback
  • Indian-language text-to-speech

Built with Angular 18, PrimeNG, TypeScript, Python, FastAPI, PostgreSQL, SQLAlchemy, OpenAI, Groq, Llama 3.3, Speech-to-Text, Text-to-Speech, JWT, Render, Neon, Netlify.

How it's put together

Distributed Local LLM Inference

SwarmAI

An open-source system that turns multiple machines running local Ollama models into a coordinated AI compute swarm.

Built with Python, FastAPI, AsyncIO, Ollama, REST APIs, AWS EC2, ngrok.

How it's put together

Same workload, time to finish1.66× measured speedup
1 node
113.3s
2 nodes
68.3s

Measured in the project's own test environment. Not a universal performance guarantee.

AI-Powered Social Media Management SaaS

DevSparkAI Social Hub

A social media management platform that uses AI to generate, customize, schedule and manage social media content.

Built with Angular, TypeScript, RxJS, Python, FastAPI, PostgreSQL, JWT, OAuth2 PKCE, LLM APIs.

How it's put together

AI-powered job search and application automation

AI Agent Job Applier

An AI-driven application that automates parts of the job discovery and application workflow using intelligent agents.

Built with Python, FastAPI, AI/LLMs, Angular, REST APIs.

How it's put together

Praveen Kumar

A bit about me

I started out building REST APIs and Angular screens for business software. Since then I've moved closer to the parts that are hard to get right: multi-tenant data, permissions, and making AI behave reliably inside a real product.

The work I'm proudest of is AIOpsCare. Hospital staff can report a problem by speaking in their own language, and the system turns it into a ticket. Making that reliable on Android phones, and making Telugu, Hindi and Tamil sound right in speech, meant solving problems no tutorial covers.

How I work

Build real products
I prefer building complete systems that solve real problems rather than isolated demos.
AI should solve a problem
I use AI where it creates meaningful product value — not to add an AI feature for its own sake.
Architecture matters
Authentication, authorization, tenant isolation, database design, API boundaries, observability and failure handling matter as much as the UI.
Learn by building
Most of my strongest technical learning has come from designing and shipping actual systems.

Where I've worked

  1. Oct 2025 – Present

    Founder & Lead Engineer, AiOpsCare

    Building a multi-tenant, AI-powered hospital operations SaaS from scratch.

    • Designed schema-per-tenant PostgreSQL isolation with tenant context resolved from JWT, plus RBAC for four roles.
    • Built a multilingual voice assistant (EN, HI, TE, TA) with speech-to-text, LLM reasoning and TTS for hands-free ticket creation.
    • Built an OpenAI + Groq LLM client with automatic fallback and structured JSON outputs.
    • Delivered tickets with SLA and auto-assignment, assets, PM, contracts, housekeeping, laundry, utilities and compliance modules.
    • Deployed on Render, Neon PostgreSQL and Netlify.

    Python, FastAPI, PostgreSQL, Angular 18, OpenAI, Groq, Voice AI

  2. Jul 2024 – Sep 2025

    Full Stack Developer, Nushift Technologies

    Healthcare platform with real-time data features.

    • Developed Angular modules and integrated REST APIs, improving performance and responsiveness.
    • Debugged and fixed production issues, improving stability.
    • Built reusable UI components and worked with backend teams on API efficiency in agile sprints.

    Angular, TypeScript, RxJS, REST APIs

  3. Apr 2022 – Feb 2024

    Full Stack Software Developer, SNAD Developers Pvt Ltd

    Backend services and Angular frontends for business applications.

    • Built REST APIs and backend services integrated with Angular frontends.
    • Developed responsive UI with Angular, HTML, CSS and Bootstrap.
    • Optimised SQL queries and indexes on data-heavy screens.

    REST APIs, Angular, SQL, Bootstrap

  4. 2022

    B.Sc Electronics

    Bhavans Vivekananda College

What I work with

Where a skill is followed by a project name, you can see it in use in that project above.

Languages
  • Python
  • TypeScript
  • JavaScript
  • SQL
LLMs & AI APIs
  • OpenAI GPT-4o / 4o-mini (AIOpsCare)
  • Groq · Llama 3.3 70B (AIOpsCare)
  • Multi-provider LLM fallback (AIOpsCare)
  • Structured JSON outputs (AIOpsCare)
  • Ollama (local LLMs) (SwarmAI)
  • Gemini API (Social Hub)
  • Anthropic Claude
  • Prompt Engineering
  • Tenant-scoped context injection
Voice AI
  • Speech-to-Text (AIOpsCare)
  • Text-to-Speech pipelines (AIOpsCare)
  • Multilingual AI (EN · HI · TE · TA) (AIOpsCare)
  • Indic transliteration (AIOpsCare)
AI Systems
  • AI chat over business data (AIOpsCare)
  • AI narrative reports (AIOpsCare)
  • AI Agents (Job Applier)
  • Distributed LLM inference (SwarmAI)
Backend
  • FastAPI
  • Django
  • Django REST Framework
  • SQLAlchemy
  • Alembic
  • Pydantic
  • Celery
  • asyncio
  • Clean Architecture
  • Multi-tenancy
APIs & Security
  • REST APIs
  • OpenAPI / Swagger
  • Postman
  • WebSockets
  • JWT
  • OAuth2 PKCE
  • RBAC
Frontend
  • Angular 18
  • Signals
  • RxJS
  • PrimeNG
  • ngx-translate (i18n)
  • HTML5
  • CSS3
  • Bootstrap
Databases
  • PostgreSQL
  • Schema-per-tenant
  • Neon
  • MySQL
  • SQL Server
  • Query optimisation
Cloud & DevOps
  • Docker
  • AWS EC2
  • Render
  • Netlify
  • Git
  • GitHub
  • Linux

I'm open to software and AI engineering roles.

The quickest way to reach me is email.

channupraveen66@gmail.com