tm.Tittu Varghese MathewSCIENTIFIC ML · ENGINEERING AI

EXPERIENCE

Engineering depth.
AI delivery.

A career connecting mechanical design, computational science, production software, and scientific machine learning.

2022 — PRESENT · OAKVILLE, CANADA

Siemens Energy

Scientific ML and engineering AI for energy and advanced manufacturing.

May 2026 — Present

Solution Architect

AI architecture for engineering applications, including diffusion-based generative design of turbine blades in spectral representations.

April 2024 — April 2026

Senior Professional — Artificial Intelligence R&D

Neural operator digital twins for grid assets, Neural ODE models for wind-turbine manufacturing quality, and NASGRO-constrained fatigue crack-growth models.

September 2022 — April 2024

Probabilistic Modelling Specialist

Cross-organisational AI initiatives, scientific ML practices and technical mentorship. Developed data-driven robotic control for casting manufacturing.

$309K

Equipment qualification cost reduction

$75K

Annual waste reduction

Casting robotic-control outcomes reported in résumé.

Siemens Energy Passion for Energy Awards · 2025

Winner, North America — Simplify category.
Runner-up, Europe — Innovation of the Year category.

2021 — 2022

Bank of America

Application Programmer

Scalable REST APIs and Angular ETL applications for financial data processing, with Kubernetes orchestration using OpenShift.

2020 — 2021

Nobul

Data Scientist

End-to-end machine-learning pipelines on GCP for customer-intent prediction using BERT and ensemble methods.

2017 — 2020

IIT Madras

PhD Researcher — Stochastic Computational Mechanics & Scientific ML

Stochastic finite element methods, Bayesian inference and neural-network surrogates. Published 10+ research papers and mentored three graduate students. Exchange research at the University of Luxembourg, April–July 2019.

2014

Indian Space Research Organisation

Mechanical Engineer

Mechanical design and CATIA modelling for reusable launch-vehicle and GSLV structures, including parametric modelling for casting mockups.

EDUCATION

A multidisciplinary foundation.

2020

PhD · Mechanical Engineering

IIT Madras

Advances in Stochastic Finite Element Method for Forward Uncertainty Quantification.

2011

MSc · Aerospace Engineering

Delft University of Technology

Space Systems Engineering & Aerostructures. Thesis: Design of a MEMS micro-resistojet.

2008

BTech · Mechanical Engineering

Cochin University of Science and Technology

Mechanical engineering.

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