Shubh chaurasia

Senior Software Engineer

Delhi, India7 yrs 3 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in developing AI-driven solutions for healthcare.
Proven track record in fraud detection and predictive analytics.
Strong background in machine learning and data science.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on AI solutions in Fintech and SaaS.

Contact

shubhchaurasia.iitd@gmail.com +919582337185 LinkedIn

Skills

Core Skills

Machine LearningPredictive Analytics

Other Skills

AlgorithmsC++Credit Card FraudData ScienceFlaskInvoicingJavaPython (Programming Language)

About

I’m fascinated by the potential of technology to enhance the current healthcare system, mobility, and derive useful business insights to improve the efficiency of businesses and public systems. I measure my life by the impact I make, so it is my objective to build systems and products that improve our ability to take quality decisions with ease. This inspires me to pursue cutting-edge applications of AI and Machine learning. I worked in the Payments team in Zomato where I developed and deployed the Fraud Credit Card Detection system using ML techniques. I have done courses on the Foundation of Data Science, Machine learning, and Artificial intelligence course during my college at IIT Delhi. Also, I am learning Reinforcement learning currently. I am looking forward to working on interesting problems.

Experience

Google

Senior Software Engineer

Apr 2025 – Present · 11 mos · Bengaluru, Karnataka, India · On-site

Developing GenAI solutions and it's scalable infrastructure for broader usecases

Adobe

Machine Learning Engineer 3

Dec 2022 – Feb 2025 · 2 yrs 2 mos · Noida, Uttar Pradesh, India · On-site

Contributing to Adobe Liquid mode and PDF accessibility projects

Zomato

4 roles

Machine Learning Engineer 3

Oct 2022 – Nov 2022 · 1 mo

Maintenance and optimisations of ML Kubernetes cluster
Model optimizations and quantization with ML compilers like Treelite, LLeaves, ONNX, ApacheTVM etc.
Developing SOPs and demos of ML Tools
Designing the architecture of new models

Machine Learning Engineer 2

Promoted

Jun 2022 – Sep 2022 · 3 mos

Developed and deployed Estimated Time of Arrival prediction models.
Upgraded existing ML orchestration framework MLFlow with FastAPI application, profiling tools, new request type handlers etc., and scaled it to 40+ models deployed.
Fine-tuned model inference process of existing models.

Machine Learning Engineer 1

Sep 2020 – May 2022 · 1 yr 8 mos

Fraud Detection: Developed and deployed a python application for detecting Credit card fraud in Zomato using Gradient boosting trees. Used imbalance learning techniques to balance the data & fine-tuned thresholds.
Search: Worked on personalization of search results based on customers’ preferences and developed scalable experiments to understand customer behavior.

FlaskMachine LearningPython (Programming Language)Predictive Analytics

Software Development Engineer 1

Jun 2018 – Sep 2020 · 2 yrs 3 mos

Payments:
Implemented a generic File and Email based automated settlement system to settle daily transactions with 15+ Payment gateways at Zomato.
End-to-end integration of payment gateways like Doku, and Dana for payments at Zomato.
Worked on maintenance of credit card storage system.

Zerostack

Software Engineer

May 2017 – Jul 2017 · 2 mos · Bengaluru Area, India

Revamped the entire Migration Setup to improve the testing process.
Designed and implemented tests to verify successful migration of Virtual Machines.
Used Qemu emulator to modify the snapshots of Virtual Machines and extensively tested End to End VM migration across VMWare, ZeroStack, AWS.