Accomplished engineer with 22+ years of experience in GE Aerospace software development and 4+ years in AI/ML. Proven track record of improving tool efficiency and delivering innovative AI solutions to enhance performance and reduce costs. Expertise in Python, data analytics, and agile methodologies, with a strong ability to drive cross-functional collaboration and achieve measurable results.
Hi, I’m
Amit Goyal
#A802, Shriram Greenfield, Budigere Cross, Bangalore
Summary
Overview
21
years of professional experience
1
Certification
Work History
GE Aerospace
Staff Software Engineer
01.2025 - Current
Job overview
- Built a RAG-powered chatbot with open-source LLMs (Ollama 3.2-3b, Qwen2:1.5b, Gemma2:2b)and FAISS retrieval, streamlining document access and earning global recognition from senior US leadership.
- Prototyped a LangGraph AI solution combining Ollama 2:3B and a React agent model to optimize CFD workflows and improve reliability by enabling intelligent error recognition and self-guided correction.
- Designed and executed a global CFD LES roadmap, mentoring junior engineers and training over 50 international CFD designers. Built and led a global team to scale LES workflows to production.
GE Aerospace
AI/ML Section Global Mission Team Member
04.2023 - 12.2023
Job overview
- Developed an alpha tool using a TensorFlow-based deep neural network to predict aero-mechanical vibrational frequencies in 10 seconds.
- Replaces the traditional 1-hour process for vibrational frequency predictions.
- Uses PCA to reduce the dataset from 2,500 parameters to 20, capturing 95% of the variance, and enhancing computational efficiency.
- Deployed for over 30 aero designers for early assessment, providing quick and accurate predictions.
GE Aerospace
Sr Staff Software Engineer
04.2022 - 03.2023
Job overview
- Developed logistic regression-based classifiers for GE Aerospace jet engine applications, accurately identifying the source of mass imbalance between the High-Pressure Turbine (HPT) and High-Pressure Compressor (HPC). I built the model using scikit-learn libraries, achieving an accuracy of 89% and an F1 score of 0.89. Evaluated model performance through these metrics to ensure reliable and efficient identification of imbalance sources.
- Developed logistic regression classifiers for GE Aerospace jet engines to identify mass imbalance sources between the High-Pressure Turbine and High-Pressure Compressor, achieving 89% accuracy and an F1 score of 0.89 using scikit-learn.
- Led a global team to define one-page AI project checklists, enabling early insights through collaborative proof-of-concept development.
- Partnered with cross-functional teams to build an AI roadmap and create AI/ML project pipelines.
- Led a global team to create and apply a streamlined LES process for over 200 aero designers through agile ceremonies of sprint planning, backlog, user demos, etc.
GE Aviation
Staff Engineer
04.2017 - 03.2022
Job overview
- Followed agile methodology and rally system and delivered on time digital twin platform for the HPT of the engine.
GE Aviation
Advance Lead Engineer
04.2015 - 03.2017
Job overview
- Led productionization efforts and organized design board assessments to improve tool efficiency.
GE Aviation
Design Engineer | Lead Engineer
08.2004 - 03.2015
Job overview
- Collaborated closely with the global aero design team to enhance the CFD meshing tool's performance, resulting in a significantly improved tool FTY from 0.5 to 0.9.
Education
Indian Institute of Technology, Bombay
Master of Engineering from Energy system engineering
University Overview
GPA: 9.3/10
Ajay Kumar Garg Engineering CollegeGhaziabad, Uttar Pradesh
Bachelor of Engineering from Mechanical Engineering
University Overview
GPA: 73%
Skills
- AI/ML and Data Analytics: TensorFlow, deep networks, NLP skills, scikit-learn library, RAG, Lang graph, Agentic Frameworks
- Programming: Python, C, C, C#, Shell Script
- Methodologies: Agile, Project Management, Technology Management
- Tools: Ansys, Fluent, CFX, Pointwise, CFD, NX, NX journaling
Certification
- Natural Language Processing with Classification and Vector Spaces
- Introduction to Statistics
- Neural Networks and Deep Learning
- Foundation of Leadership
- Lean Six-Sigma Green Belt
Patents
Patents
- Turbine engine with an airfoil having a set of dimples (US 11933193)
- SEAL SUPPORT ASSEMBLY FOR A TURBINE ENGINE (Pub No: 20240318570)
Accomplishments
Accomplishments
- Received global impact award from Senior US executive leader for delieving promising LLM RAG based solution.
- Awarded the Global Engineering Excellence Award 2024 to contribute to 1% fuel savings in Open Fan Technology.
- Received 2017 Global Engineering Recognition Award in Science & Technology - A first for methods group for implementing digital twin capabilities for HPT.
- Received Global Engineering Recognition Award in Tools category for implementing a standardized CFD gridding system.
Timeline
Staff Software Engineer
GE Aerospace
01.2025 - Current
AI/ML Section Global Mission Team Member
GE Aerospace
04.2023 - 12.2023
Sr Staff Software Engineer
GE Aerospace
04.2022 - 03.2023
Staff Engineer
GE Aviation
04.2017 - 03.2022
Advance Lead Engineer
GE Aviation
04.2015 - 03.2017
Design Engineer | Lead Engineer
GE Aviation
08.2004 - 03.2015
Ajay Kumar Garg Engineering College
Bachelor of Engineering from Mechanical Engineering
Indian Institute of Technology, Bombay
Master of Engineering from Energy system engineering
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