Sivaji Raja

Software Engineer

Bengaluru, Karnataka, India3 yrs 9 mos experience

Highly StableAI Enabled

Key Highlights

Expert in integrating machine learning with engineering workflows.
Proven track record in developing predictive models for automotive applications.
Strong foundation in CAE and data-driven design methodologies.

Stackforce AI infers this person is a Machine Learning Engineer specializing in Automotive Engineering and Computer-Aided Engineering.

Contact

Skills

Core Skills

Machine LearningComputer-aided Engineering (cae)Predictive ModelingPython

Other Skills

Data scientistML integrationAutomation DevelopmentModelingSimulationCAE Workflow UnderstandingObject-Oriented Programming (OOP)Python (Programming Language)Time ManagementQuality ControlTestingData ScienceArtificial Intelligence (AI)Engineering AnalysisRegression Modeling

About

As a System Engineer, I integrate mechanical simulation with machine learning to deliver smarter designs, faster development cycles, and data-driven engineering insights. At Tata Consultancy Services (TCS), I lead ML initiatives for General Motors —developing predictive models using FEA-generated data with Python, Scikit-learn, and Pandas. My work reduces simulation cycles and enhances early-stage design confidence through intelligent automation and data-driven insights. I also take pride in creating intuitive, user-friendly automation tools with PyQt GUIs to streamline complex workflows. This fusion of engineering and data science enables me to help in teams to make better decisions from complex engineering data I’m passionate about bringing AI into automotive and manufacturing engineering—working at the intersection of simulation, data science, and product development. My goal is to deepen my role as an ML Engineer within the engineering domain, driving innovation through data without losing touch with real-world mechanical systems.

Experience

Tata consultancy services

3 roles

System Engineer

Promoted

Jul 2023 – Present · 2 yrs 8 mos · Bengaluru, Karnataka, India · On-site

> Leading machine learning initiatives within the engineering simulation team, driving adoption of ML in CAE workflows to enhance efficiency and design decision-making
> Developed ML-powered tools integrated with user-friendly GUIs to enable quick evaluation of engineering performance without full simulations
> Focused on CAE-integrated machine learning applications to improve sealing and structural performance predictions in automotive systems
> Contributed to the automation and maintenance of internal CAE tools and plugins, ensuring compatibility with evolving software and business needs
> Updated and implemented Excel-based VBA scripts to automate manual tasks and adapt reporting workflows to dynamic business requirements
> Collaborated closely with cross-functional teams to blend simulation, data science, and scripting to deliver robust and scalable engineering solutions

Data scientistML integrationMachine LearningComputer-Aided Engineering (CAE)

Assistant System Engineer

Jan 2023 – Jul 2023 · 6 mos · Bengaluru, Karnataka, India · On-site

> Working as a CAE Engineer in the Sealing & Fastening team, focusing on the virtual validation of the sealing and structural components within the automotive domain
> Gained hands-on experience with preprocessing tools like HyperMesh and SimLab, as well as CAD and PLM platforms such as Siemens NX and Teamcenter
> My work involved modeling and analyzing multiple gasket types, like PIP seals and O-rings across various critical interfaces in cars and trucks—including internal combustion engines (IC engines), transmission systems, battery packs, and other sealing locations throughout the vehicle
> Using Abaqus as the solver, I became familiar with setting up non-linear simulations and interpreting results for design validation
>Additionally, I learned the end-to-end CAE workflow, including working with design, manufacturing teams and the stake holders

ModelingSimulationCAE Workflow UnderstandingComputer-Aided Engineering (CAE)Predictive Modeling

Assistant System Engineer (Trainee)

Jul 2022 – Jan 2023 · 6 mos · Bengaluru, Karnataka, India · On-site

> Focused on strengthening my technical foundation. I learned Python programming, gaining a solid grasp of core concepts and practical applications
> Earned the Google Associate Cloud Engineer certification, building strong knowledge in deploying and managing cloud infrastructure on Google Cloud Platform (GCP)
> This learning enabled me to contribute more effectively to my role as a CAE engineer by developing automation tools for simulation workflows and working on machine learning projects to support data-driven engineering analysis

Object-Oriented Programming (OOP)Python (Programming Language)PythonMachine Learning

Kumar pumps & motors

Winter Intern

Nov 2018 – Jan 2019 · 2 mos · Tenali, Andhra Pradesh, India · On-site

During my internship at Kumar Pumps and Motors, I had the opportunity to gain hands-on experience in the manufacturing and testing processes of industrial pumps and motors. I closely observed the entire production workflow, from the initial material selection to the final testing of finished products.
Key learning experiences include:
> Manufacturing Processes: Gaining practical insight into the assembly and fabrication of pumps and
motors, understanding the various stages of production.
> Material Testing: Observing and participating in the testing of molten metals and its composition
along with testing the intermediate product, ensuring they met the required quality standards.
> Machining and Precision: Watching the machining of components with precision to meet engineering
specifications, and understanding the importance of accuracy in manufacturing using the CNC
machines.
> Quality Control: Understanding the rigorous testing procedures for finished products to ensure they
meet performance and safety standards.
This internship enhanced my knowledge of industrial manufacturing processes and deepened my understanding of product testing and quality control, providing me with valuable insights into the engineering industry