Headline

Software Engineer | Python, SQL, Teamcenter | ETL & PLM Data Engineering | ML Integration

About

I am a Software Engineer with hands-on experience in PLM data engineering, backend development, and applied machine learning. I currently work at Mavenberg Innovation Pvt. Ltd. as a Consultant–Trainee, where I design and own enterprise-scale ETL pipelines and build intelligent data solutions on top of Teamcenter. At Mavenberg, I work on MavenDx and GraphDx platforms, integrating data from 8+ enterprise systems including Teamcenter, NX, AutoCAD, SAP, Windchill, and Jira. My work includes architecting ETL pipelines, consolidating multi-site Teamcenter data, and deploying ML-based tools that reduce manual effort and improve data quality. I also developed an ML-based natural language–to–SQL system that enables non-technical users to query Teamcenter datasets, reducing manual SQL usage by over 30%. My role involves close collaboration with PLM, backend, and UI teams using BMIDE and Active Workspace (AWC). Previously, I worked as a Machine Learning Intern at Bambhari, where I led a CNN-based urine analysis project based on the Thaila Bindu Pariksha methodology. I have also built production-ready ML and backend projects, including a vehicle number plate recognition system and a chronic kidney disease prediction system. I am passionate about building scalable backend systems, data pipelines, and applied AI solutions that solve real-world problems. I am actively exploring opportunities in PLM development, data engineering, backend engineering, and applied machine learning.

Location

Bengaluru

AI stack

hugging face

langchain

ollama

openai

Work experience

Software Developer at Mavenberg Innovations, Dec 2024 - Present · 1 yr 6 mos, Bengaluru, Karnataka, India, • Own and maintain enterprise-scale PLM data pipelines supporting production and analytics workloads within MavenDx. • Architect ETL pipelines for MavenDx and GraphDx, integrating data from 8+ enterprise systems including Teamcenter, NX, AutoCAD, SAP, Windchill, and Jira. • Reduce data inconsistencies by ~20% through validation, normalization, and error-handling logic. • Deliver a site consolidation capability aggregating data from 5+ Teamcenter sites, reducing manual reporting effort by ~30%. • Deploy an ML-based natural language–to–SQL engine that enables non-technical users to query Teamcenter datasets, reducing manual SQL usage by ~30–35%. • Collaborate with PLM, backend, and UI teams to deliver scalable Teamcenter integrations using BMIDE and Active Workspace (AWC).

Product Lifecycle Management Consultant Trainee at Mavenberg Innovations, Feb 2024 - May 2024 · 4 mos, Bengaluru, Karnataka, India

Machine Learning Intern at Bambhari, Jun 2023 - Aug 2023 · 3 mos, Bengaluru, Karnataka, India, • Led a CNN-based urine analysis project based on the Thaila Bindu Pariksha methodology for biological sample classification. • Coordinated model training, preprocessing, and validation as team lead across the project lifecycle. • Applied Python, Flask, and deep learning techniques to build a reliable ML pipeline.

Education

Bachelor of Engineering - BE, Artificial Intelligence, Sri Venkateshwara College of Engineering, BANGALORE

Sri Kumaran's Pre University college