BETWEEN CODE & COGNITION—
I BUILD WHAT LEARNS.
Scroll to explore
BETWEEN CODE & COGNITION—
(About.)
I'M GOKUL KRISHNA — A MACHINE LEARNING ENGINEER WITH 7+ YEARS IN ENGINEERING SIMULATION, APPLYING ML TO CAE, FEA AND CFD DATA. I BUILD SURROGATE MODELS THAT REPLACE HOURS OF SOLVER TIME WITH SECONDS OF INFERENCE — AT GENERAL MOTORS, KRIGING SURROGATES BUILT WITH THE CUSTOMER'S CAE TEAM CUT DESIGN EVALUATION FROM 5–12 HOURS TO 2–3 MINUTES. PYTHON AND PYTORCH, FROM GEOMETRY TO PRODUCTION.
7+
Years
Experience
2–3min
From 5–12 Hour
Simulations
60+
Engineers
Mentored
370+
Automation Ops
Logged in 4 Months
My Work
Engineering surrogates and production ML systems — from 3D geometry to deployed inference
DrivAerNet++ Drag Surrogates
Drag prediction from 3D point clouds — neural vs classical
PyTorch
PointNet
Kriging
Phishing Detection API
Production ML system with async inference and model selection
FastAPI
Celery/Redis
MLflow
SageMaker Q&A System
Intelligent document processing with natural language understanding
SageMaker
NLP
AWS
Text Summarizer
AI-powered abstractive summarization using Google Pegasus
LLMs
Transformers
AWS
Student Prediction
ML pipeline with hyperparameter optimization and automated serving
MLflow
Optuna
FastAPI
Blog Generation
Serverless content creation with AWS Bedrock foundation models
AWS Lambda
Bedrock
Serverless
My Values
Core principles that guide my ML/AI development approach
Business-Focused
Every ML solution I build is designed to solve real business challenges and deliver measurable impact.
Reproducibility
I ensure all ML pipelines are reproducible with proper versioning, tracking, and documentation.
Scalable Systems
I build ML systems that can scale from prototype to production with monitoring and drift detection.
Cross-Domain
I apply ML expertise across diverse domains - from automotive CAE and medical devices to cloud and cybersecurity.
Research-Driven
I stay current with latest research and incorporate cutting-edge techniques into practical solutions.
Performance
I focus on building efficient ML systems that deliver fast inference and optimal resource utilization.
Featured Writing & Achievements
Recognition and thought leadership in AI/ML and engineering innovation
My Writings
Professional Awards
Creativity and Innovation Award
EIS-IOT Technova, Tata Consultancy Services Ltd.
Nov 2021
AwardBest Project
Mechanical Engineering, Adi Shankara Institute of Engineering and Technology
Mar 2016
AwardProfessional Certifications
Industry-recognized credentials that validate my expertise in cutting-edge technologies
MLOps & Advanced ML
Complete MLOps Bootcamp with 10+ End To End ML Projects
Udemy
Aug 2025
VerifiedReinforcement Learning
Simplilearn
Mar 2022
VerifiedAdvanced Deep Learning and Computer Vision
Simplilearn
Nov 2021
VerifiedMachine Learning & NLP
Deep Learning with TensorFlow and Keras
Simplilearn
Sep 2021
VerifiedNatural Language Processing and Speech Recognition
Simplilearn
Feb 2021
Verified
Machine Learning
Simplilearn
Aug 2021
VerifiedData Science & Process
Data Science with Python
Simplilearn
May 2021
Verified
Python for Data Science
Simplilearn
Jun 2021
VerifiedLean Six Sigma Green Belt Certification
Tata Consultancy Services
Aug 2021
VerifiedAdvanced Programs
POST GRADUATE PROGRAM IN AI & ML
Purdue University & Simplilearn
Dec 2021
VerifiedPost Graduate Program In Cloud Computing
Caltech CTME & Simplilearn
Oct 2021
Verified11+
Professional Certifications
500+
Hands-on Applied Learning
7
ML Specializations
∞
Continuous Learning
My Tech Arsenal
Technologies and tools I use to build intelligent solutions
Programming & Data
Python
Primary language for ML and simulation automation
C# / .NET
Desktop automation tools and CAD integrations
Tcl/Tk
HyperMesh scripting and simulation automation
Pandas
Simulation dataset preparation and analysis
SciPy
Scientific computing, interpolation and statistics
Simulation & CAE
Abaqus
Structural vibration and durability FEA
HyperMesh
3D FE meshing and simulation model build
Optistruct
Structural design optimisation
FEA
Finite element analysis for automotive and medical devices
CFD Data
External aerodynamics datasets and drag prediction
HPC Clusters
DOE loadcase campaigns at scale
ML & Surrogate Modelling
PyTorch
Deep learning for geometry-aware surrogates
scikit-learn
Classical ML baselines and model pipelines
Kriging / Gaussian Processes
Surrogate models replacing expensive solver runs
Point-Cloud Models
PointNet and DGCNN on 3D surface geometry
DOE & Adaptive Sampling
Sparse sampling to minimise solver cost
Uncertainty Quantification
Calibrated intervals and trust regions for sign-off
Optuna
Hyperparameter optimisation
CUDA
GPU training for point-cloud networks
LLMs
Fine-tuning for clinical and document extraction tasks
ML Systems & Cloud
FastAPI
Model inference services
MLflow
Experiment tracking and model registry
DVC
Data versioning and reproducible pipelines
Docker
Containerised training and serving
CI/CD (GitHub Actions)
Automated test and deploy pipelines
Celery / Redis
Asynchronous inference and job queues
AWS
EC2, S3, SageMaker and Lambda deployments
Git / GitHub
Version control and collaborative development
Linux
HPC and server environments
Grafana
Telemetry and monitoring dashboards
MY JOURNEY
Education and professional milestones that shaped my expertise
💼 Professional Experience
Present
Design & Automation Engineer
Protech Stainless Ltd · Bedford, UK
Jan 2026 – Present
Scoped, architected and owned end-to-end delivery, as sole engineer, of a telemetry-instrumented suite of 15+ versioned automation tools (Python, C#/.NET) for CAD, BOM and procurement workflows — adopted across the design team with 370+ operations logged in 4 months. Deployed a role-based operations service to production on AWS EC2 (Docker, S3, GitHub Actions CI/CD), and built a document-extraction pipeline matching supplier quotations against BOMs with confidence-based human-in-the-loop review.
2023
CAE Data Scientist & FEA Engineer
General Motors (client engagement via TCS) · Bangalore, India
Sep 2019 – Aug 2023
Developed and delivered ML surrogate models with the customer’s CAE team, replacing Abaqus structural vibration and durability simulations (Kriging + evolutionary algorithms) and cutting design-point evaluation from 5–12 hours to 2–3 minutes. Ran DOE-driven loadcase campaigns on HPC clusters across a ~900-point geometry design space, defined surrogate validation standards for engineering sign-off, contributed to multi-objective optimisation of a production EV battery platform (~11% structural mass reduction), and led ML enablement for 60+ engineers.
2019
Structural Analysis Engineer
Johnson & Johnson MedTech (client engagement via TCS) · Kolkata, India
Feb 2017 – Aug 2019
Conducted R&D structural analysis (Abaqus, HyperMesh) for the Ethicon and DePuy surgical device portfolios, and piloted Optistruct design optimisation into the customer’s design cycle. Wrote FE mesh-morphing scripts saving ~20% of DOE model-generation effort.
2017
🎓 Education
MSc Machine Learning & Deep Learning
University of Strathclyde, Glasgow
Sep 2023 – Nov 2024
Graduated with Distinction. Specialized in advanced ML, DL, and NLP applications with a dissertation on clinical symptom extraction using LLMs.
2024
Post Graduate Program in Cloud Computing
Caltech - CTME & Simplilearn
Comprehensive program covering cloud architecture, AWS services, DevOps practices, and containerization. Gained expertise in scalable cloud solutions and infrastructure automation.
2022
Post Graduate Program in AI and Machine Learning
Purdue University & Simplilearn
Advanced curriculum in machine learning algorithms, deep learning frameworks, and AI applications. Focused on practical implementation and real-world problem solving.
2021
Bachelor of Technology (Mechanical Engineering)
Mahatma Gandhi University · Adi Shankara Institute of Engineering & Technology
2012 – 2016
Graduated with strong foundation in computational methods and engineering analysis. Received "Best Project" award for innovative simulation-driven design.
2016
Let's Build Something Amazing
Got a simulation bottleneck, a surrogate model to build, or an ML system to ship? Let's talk.
Gokul Krishna
ML Engineer · Engineering Simulation
Email
nvgokulkrishna@gmail.com
Location
Bedford, UK · London-commutable
Response Time
Within 24 hours
Send a Message
Tell me about your project and let's bring your ideas to life