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Hi, I'm Abhi
nav Singh

Abhinav Singh - Machine Learning Engineer
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Who am I?

I’m a self-motivated, creative technology enthusiast specialized in building data intensive applications.

More about me

I'm a Senior ML Engineer at WooliesX, where I build scalable, high-performance machine learning systems that power real-time decision-making and personalized experiences at scale. With a Master’s in Information Technology from UniMelb, I specialize in bridging the gap between ML research and production engineering, designing robust, efficient, and secure ML applications that drive tangible business impact.

At the core of my work is end-to-end MLOps platform development, including Modelverse, an in-house ML platform that streamlines model versioning, deployment, and collaboration. My expertise spans graph-based recommendation systems, real-time ML inference platforms, and AI-driven automation, leveraging technologies like GNNs, agentic AI, vector databases, and scalable microservices. By integrating cutting-edge ML techniques with production-grade engineering, I deliver highly performant, resilient, and scalable AI solutions that enhance user engagement and operational efficiency.


TOP EXPERTISE

Fullstack AI developer with primary focus on building data intensive applications: Download Resume

  • Python
  • C++
  • AI
  • Machine Learning
  • SQL
  • TensorFlow
  • Docker
  • Kubernetes
  • PyTorch
  • Scikit-Learn
  • Elastic
  • MongoDB
CSS
CSS
Docker
Docker
Kubernetes
Kubernetes
Terraform
Terraform
GCP
GCP
Azure
Azure
MongoDB
MongoDB
Java
Java
Python
Python

Where I’ve Worked

WooliesX
Servian
6Clicks
EY
Senior ML Engineer @WooliesX

March 2022 - Present

Led the development of scalable ML systems, including a graph-based in-session recommendation engine using GNNs and Neo4j, optimizing real-time serving with Kubernetes and Redis. Designed a high-throughput ML inference platform with gRPC microservices and MLflow, enabling seamless A/B testing and zero-downtime rollouts. Developed an AI-powered customer support assistant with LangGraph and vector databases, improving issue resolution and customer satisfaction.

ML Engineer @Servian

Oct 2021 - Mar 2022

Engineered a real-time ML serving infrastructure on Azure, leveraging FastAPI, Kubernetes, and Redis for low-latency inference at scale. Built a containerized microservices architecture with async processing and gRPC, achieving a 10x reduction in response times. Automated CI/CD pipelines using Terraform and GitHub Actions, ensuring high availability with real-time monitoring.

AI Engineer @6Clicks

Feb 2021 - Oct 2021

Designed the Hailey AI engine, integrating transformer-based NLP models to automate compliance analysis, reducing manual effort from days to seconds. Developed a real-time, multi-tenant AI service with API-driven insights, ensuring scalable inference and high availability for regulatory automation.

Associate Software Engineer @EY

Aug 2016 - Sept 2018

Developed enterprise-grade microservices in an event-driven architecture, optimizing database performance through indexing and query tuning. Implemented structured logging, API versioning, and CI/CD automation to enable seamless deployments at scale.

Some of my recent blogs

An ode to Stacks and Pointers in Go!
An ode to Stacks and Pointers in Go!

This Blog describes the importance of pointers, stack and their mechanics in Golang

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Some of my past projects

AirCamp
AirCamp

YelpCamp is a website where users can create, review and advertise campgrounds.

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Online Store - CoursePost Title
Online Store - CoursePost Title

Online store with paypal payments intergration and guest user shopping

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