I'm a computer science graduate (AI specialization) who likes building machine learning systems — and being able to explain why they're worth building.
During my bachelor's at Amrita University I worked as a research assistant across NLP, computer vision, and speech processing, and co-authored four papers in IEEE Xplore, the ACL Anthology, and a Springer book chapter. I then spent about 18 months at Guidewire on the Cloud Data Platform, writing Java micro-services on AWS with Kubernetes and Terraform, and building an internal AWS Bedrock plugin that cut manual testing effort by roughly 30%.
Outside of work I keep building: an LLM tool to automate exam grading (Evalu8), a RAG assistant over Indian nutrition data (Bite2Burn), and custom Triton GPU kernels for deep learning operations.
This September I'm starting the MSc in Data Science & AI for Business at École Polytechnique × HEC Paris, to pair the engineering with sharper business judgment.
I'm currently looking for a data science / AI internship where I can build models and stay close to the decisions they inform.
class AjaySurya:
def __init__(self):
self.education = "MSc Data Science & AI for Business, École Polytechnique × HEC Paris (2026–28)"
self.background = "B.Tech in CS (AI Specialization), Amrita — First Class with Distinction"
self.experience = "Software Engineer @ Guidewire (Cloud Data Platform)"
self.research = {"publications": 4, "venues": ["IEEE Xplore", "ACL Anthology", "Springer"]}
self.focus = ["Machine Learning", "NLP", "LLMs / RAG", "Computer Vision"]
self.currently = "Seeking a Data Science / AI internship"
def say_hi(self):
print("Thanks for dropping by!")
print("Let's build AI systems worth building.")
me = AjaySurya()
me.say_hi()Tools, languages, and other things that I like to work with.
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Python |
Java |
Scala |
MATLAB |
Git |
Linux |
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TensorFlow |
PyTorch |
Scikit-Learn |
NumPy |
Pandas |
Matplotlib |
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Docker |
Kubernetes |
AWS |
Terraform |
Spark |
TeamCity |
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MySQL |
DynamoDB |
AWS S3 |
AWS EC2 |
Datadog |
Hugging Face |
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Book Chapter: Reliability in Cyber-Physical Systems: The Human Factor Perspective |
Book Chapter: Decoding Medical Images: Enhancement, Restoration, Reconstruction |
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Published in ACL Anthology as a part of ICON 2024 |
Published in IEEE Explore as a part of ICACCS 2024 |
"The best way to predict the future is to create it."