SRINIVAS KANUPARTHI / ENGINEER & BUILDER
I build enterprise systems at Airbus.
Then follow my curiosity into AI assistants,
learning platforms, and whatever comes next.
A voice-driven local assistant. A real command center. My most personal experiment in AI.
01 / PERSONAL PROJECTS
Beyond the day job. Ideas I’m exploring, platforms I’m building, and things I want to exist.
My local voice assistant: wake-word detection, deterministic actions, local AI model routing, and a React HUD that makes the system visible.
Explore the Jarvis lab
See the screen. Explore the system.A learning platform dedicated to artificial intelligence. Built at the intersection of my curiosity about AI and my love of creating useful software.
A dedicated space for learning data engineering. Exploring the systems and ideas behind how data moves, transforms, and becomes useful.
Always learning. Always building. Have an idea? Let’s compare notes.
THE PERSONAL LAB / PROJECT 01
The assistant I wanted to exist. The system I’m learning by building.
A Python assistant with wake-word detection, speech-to-text, deterministic tools, local model routing through Ollama, and a React command center. Its HUD follows runtime state, activity, and Mac telemetry over WebSockets.
Illustrated demo of the real architecture. No microphone, model, or device actions run here.
Wake detection activates the session. The wake listener releases the microphone before speech recognition begins.
Online, Srinivas.Voice, intent detection, actions, model routing, and response formatting each have their own responsibility.
The HUD follows public activity events and runtime states. Telemetry sampling runs separately from the voice loop.
Local model adapters through Ollama, personal memory, and tools for applications, system information, and files.
An evolving personal project, not a hosted assistant service. The tactical map and radar in the HUD are visual elements.
02 / PROFESSIONAL IMPACT
A few problems I’ve helped solve across enterprise platforms, database modernization, and cloud delivery.
FEATURED / AIRBUS
Technical ownership of an internal Oracle-to-PostgreSQL migration platform. Making execution faster, failures rarer, and enterprise adoption more achievable.
Progressing toward industrialization
lower system latency
Developed cloud-native aircraft customization applications with Node.js and AWS, reducing system latency by 30%.
Contributed to application development and performance improvements. At Airbus, I also led five engineers designing and deploying scalable microservices.
faster ETL job execution
Optimized an AWS Glue ETL pipeline, cutting execution time by 40% and improving data-processing efficiency.
Focused on improving the existing pipeline’s runtime efficiency, extending my backend experience into hands-on AWS data-processing optimization.
microservices managed
Managed more than 50 AWS microservices for a restaurant management platform, supporting reliable production operations.
Worked on microservices operations and deployment improvements, with a focus on platform availability and scalability.
legacy to cloud
Modernized a Visual Basic healthcare application using Node.js and Angular, with serverless deployment on AWS.
Contributed to converting the legacy application and deploying it to AWS. My work covered application development and the shift to serverless infrastructure.
Professional work summaries. Employer source code and internal materials are not published here.
03 / THE PERSON BEHIND THE SYSTEMS
I like taking complex problems
and making them work simply.
I’m a Lead Software Engineer at Airbus, focused on backend architecture, cloud-native applications, and database modernization.
My work combines hands-on engineering with system design, performance optimization, enterprise governance, and technical leadership. Node.js and AWS are my core focus; my UI experience helps me collaborate across the stack.
Outside that work, I’m exploring AI engineering, generative AI, and developer productivity—and turning that curiosity into my own learning platforms.
THE ENGINEERING TOOLKIT
From the API to the infrastructure.
My core focus: building services, defining clear boundaries, and making complex business logic maintainable.
04 / THE JOURNEY
Building, modernizing, and delivering enterprise software since 2017.
Jawaharlal Nehru Technological University
2013–2017
Recognized along the way.Airbus Spot Award for Innovation and First Prize — Avionics Proof of Concept.
Lead Software Engineer
End-to-end technical ownership of the Database Migration Accelerator: parallel migration execution, reliability, live status tracking, corporate SSO, and data-compliance and industrialization activities. Additional work includes cloud-native applications, AWS Glue optimization, and leading five engineers in microservices delivery.
Software Consultant
AWS microservices operations and deployment improvements for a restaurant management platform.
Software Engineer
Healthcare application modernization with Node.js and Angular, followed by serverless deployment on AWS.
Software Engineer
Developed an AI-based image recognition service for a real estate application using Node.js and AWS.
Software Engineer
The start of my professional software engineering journey.
05 / START A CONVERSATION
A backend challenge, a cloud engineering opportunity, or an idea worth building. I’d love to hear about it.