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sandeep sasi

@sandeepsasi

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Machine learning and aerospace engineer specializing in ML, NLP, and structural health analytics.

India

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What I'm looking for

I seek challenging ML/AI roles applying NLP, deep learning and FEA automation in aerospace or related industries, with opportunities to lead impactful projects and grow technically.

I am a Machine Learning and Aerospace Engineer with hands-on experience building practical ML and deep learning solutions for aerospace structural analysis, NLP tasks, and generative AI workflows. I have applied models such as LSTMs, CNNs, transformers and tree-based algorithms to classification, regression and recommendation problems while automating data pipelines and FEA workflows with Python.

I have worked across industry and research roles, contributing to Airbus, Rolls-Royce projects and IISc research by developing fatigue-life automation, defect-to-repair classifiers and thermo-mechanical simulations in ABAQUS. I focus on feature engineering from domain knowledge, model performance interpretation and deploying solutions that reduce manual effort and improve decision-making.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

M3 Solutions

Dec 2020 - Present (5 years 1 month)

Built and deployed ML and deep learning models (LSTM, CNN, Transformers) for classification, regression and recommendation tasks; led data processing, feature engineering and model evaluation to solve business problems since joining.

Python TensorFlow Keras PyTorch NLP Transformers RAG Vector Databases Model Evaluation

Engineer

Quest Global

Nov 2017 - Jan 2019 (1 year 2 months)

Developed engineering and data-driven solutions including ML models and automation scripts for aerospace applications; contributed to feature engineering and performance analysis over a 1.3 year engagement.

Python Machine Learning Data Processing Scripting regression Classification XGBoost

Project Associate

Indian Institute of Science

Jul 2017 - Oct 2017 (3 months)

Conducted research and developed finite-element and thermo-mechanical models for composite structures, implemented cohesive zone damage simulations and performed fatigue/damage analysis using ABAQUS and Python.

Abaqus Python Cohesive Zone Modeling Fatigue Analysis Data Processing Patran

Software Engineer

Tech Mahindra

May 2013 - Jul 2015 (2 years 2 months)

Delivered aerospace-domain software and automation, earned highest FTR rating and awards for structural health monitoring projects while developing Python tools for simulation and analysis.

Python Automation Scripting Structural Health Monitoring Data Analysis Patran Client Communication

Education

Degrees, certifications, and relevant coursework

Indian Institute of Science, Bangalore

Master of Engineering, Aerospace Engineering

2015 - 2017

Activities and societies: M.E. main project: fracture model for multifunctional and multilayered composite structure; worked with ABAQUS and finite element analysis.

Master of Engineering in Aerospace Engineering with coursework and research on fracture modeling and thermo-mechanical analysis of multifunctional composite structures.