2014
01 — FOUNDATION
Programming Foundation
C++, OOP fundamentals and structured problem-solving mindset.
C++OOPLogic
DATA ENGINEER · AI ENGINEERING
I build the systems behind intelligent products.
Azure Data Engineer transitioning into AI Engineering — combining backend engineering, cloud data platforms and scalable architecture to build production-grade systems.
BUILDING
Pratik Shinde
Data Engineer · AI Engineering
pratik@engineering ~
$ whoami
Pratik Shinde
$ current_stack
AzureDatabricksPySparkDelta Lake
$ direction
Data Engineering→AI Engineering
building production systems
ScalableArchitecture
Cloud NativeData Platforms
01
ABOUT
ENGINEERING EVOLUTION
From software foundations to data & AI systems.
My engineering journey spans software development, backend systems, cloud data engineering and now AI architecture. I enjoy turning complex requirements into reliable, maintainable systems that can operate at scale.
01Backend
Django, Flask, Python, Java
02Data
ADF, Databricks, PySpark, Delta Lake
03Delivery
Docker, CI/CD, cloud-native design
04AI
LLMs, RAG & production ML architecture
02 / THE JOURNEY
Years of building.
One continuous trajectory.
Software Engineering → Data Engineering → AI Engineering
2018
02 — BACKEND
Core Backend Development
Java SE, object-oriented design, data structures and self-driven projects.
JavaOOPDSA
2019–2021
03 — SOFTWARE
Software Engineer
Python, ML fundamentals, model development, Docker and deployment automation.
PythonMLDocker
2021–2023
04 — SENIOR ENGINEERING
Senior Software Engineer
Django/Flask backend systems, CI/CD pipelines, Linux scripting and containerized deployments.
DjangoFlaskCI/CD
2023–NOW
05 — ATLAS COPCO
Data Engineer
Azure Data Factory, Databricks, PySpark, Delta Lake, ETL/ELT pipelines and cloud architecture.
AzureDatabricksPySparkDelta
2025–NOW
06 — NEXT FRONTIER
AI Engineering Focus
LLMs, RAG systems, AI architecture design and scalable production ML systems.
LLMsRAGAI Architecture
03 / EXPERTISE
The stack I use to
turn ideas into systems.
Deep foundations across software, data and modern AI engineering.
Data Engineering
Designing reliable cloud pipelines and data platforms for production workloads.
- Azure Data Factory
- Databricks + PySpark
- Delta Lake
- ETL / ELT
Backend Engineering
Building APIs, automation and services with clean deployment workflows.
- Python
- Django / Flask
- Java
- Docker + CI/CD
AI Engineering
Exploring the architecture patterns required to move AI from prototype to production.
- LLMs
- RAG Systems
- Prompt Engineering
- Production ML Architecture
04 / SELECTED WORK
Things I'm
building.
01
VOLUNTARY PROJECT · LIVE
Jagdamb Trust Pune
Dhol Pathak Platform
Designing and developing a responsive website and Android application to manage cultural activities, event updates and community engagement.
View on Google Play ↗PROJECT STATUSLIVE
Android AppLIVE
Event schedulingLIVE
NotificationsLIVE
Role managementLIVE
InventoryUPCOMING
AttendanceUPCOMING
OPEN SOURCE / LEARNING
Learning AI Through Stories
LLMs · RAG · AI architecture · story-based learning
Explore ↗05 / CONTACT
Let's build something
worth shipping.
Have a data platform, AI system or engineering challenge in mind?