Omkar Rane

Omkar Rane

Python & Cloud Developer | Manager - R&D, Intelligent Systems at Bajaj Auto Technology Ltd.

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About Me

I am a Python Developer and Cloud Engineer with 4+ years of professional experience in backend systems, machine learning applications, and data engineering. I bring a strong background in architecting scalable microservices, automation tools, and cloud-native solutions on AWS. With expertise in frameworks like Flask, FastAPI, and Django, and tools such as Docker, PySpark, and Elasticsearch, I have delivered impactful software in the automotive, telecom, and enterprise domains. My work spans connected vehicles, FOTA systems, intelligent automation, and real-time analytics—where innovation, reliability, and performance meet.

  • Full Name: Omkar Rane
  • Organization: Bajaj Auto Technology Limited
  • Role: Manager - R&D, Intelligent Systems
  • Location: India

Education

Master of Technology (M.Tech) in Computer Engineering

PCCOE, Pune (2024 - 2026)

Bachelor of Technology (B.Tech) in Electronics & Telecommunication Engineering

MIT Academy Of Engineering, Pune (2016 - 2020)

First Class with Distinction | CGPA: 8.91/10

Work Experience

2024 - Present

Manager - R&D, Intelligent Systems

Bajaj Auto Technology Limited

2023 - 2024

Senior Engineer - Digital

Tata Elxsi Ltd.

2022 - 2023

Engineer - Digital

Tata Elxsi Ltd.

2021 - 2022

Software Engineer Trainee

Marsh & McLennan (Mercer Digital)

Skills

Programming & Technologies
  • Python (Flask, FastAPI, Django)
  • Machine Learning, NLP (Pandas, NumPy, Scikit-learn, YOLO, Tesseract, SpaCy, NLTK)
  • Cloud Computing (AWS Lambda, S3, EC2, RDS)
  • Data Engineering (PySpark, Databricks, Elasticsearch, Kibana)
  • Automation Scripting (Selenium, Boto3)
Tools & DevOps
  • Docker, Ansible
  • Redis, Celery, RabbitMQ
  • Git, GitHub
  • CI/CD Pipelines
  • Agile Development (JIRA)
  • Unit Testing & Load Testing (PyTest, Locust)

Open Source Contributions

UDS Connect Python Package

Published my first Python package uds-connect for interacting with UDS (Unified Diagnostic Services) over various CAN interface devices like PEAK, Kvaser, and Vector.

View on PyPI: https://pypi.org/project/uds-connect/