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Hi, I am Harshit

Harshit Sethi

Machine Learning Engineer at Block

A Machine Learning Practionioner having exposure in all aspects of an ML problem right from brainstorming, building proofs-of-concept to productionizing and maintaining the solution. I am interested in the applications of Machine Learning to solve problems that help make people’s lives easier and augment their productivity by efficient use of technology. I specialize in making NLP solutions for the finance domain and have built a machine learning engine to monitor customer communications by extensively researching and implementing various NLP techniques. Curious and eager to explore more into MLOps and currently in the process of enabling best practices around it at my current workplace. I try to be a better version of myself by being updated with the ongoing research in ML, participating in various reading groups, and actively participating in the ML community.

Experiences

1
Block / CashApp

Jun 2024 - Present

Melbourne, Australia

Block is a financial technology company that provides a suite of products that enable users to buy, sell, store, and spend digital assets on a seamless global network. Cash App wants to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.

Machine Learning Engineer

Jun 2024 - Present


Zendesk

Aug 2021 - Jun 2024

Melbourne, Australia

Zendesk started the customer experience revolution in 2007 by enabling any business around the world to take their customer service online. Today, Zendesk is the champion of great service everywhere for everyone, and powers billions of conversations, connecting more than 100,000 brands with hundreds of millions of customers over telephony, chat, email, messaging, social channels, communities, review sites and help centers. Zendesk products are built with love to be loved. The company was conceived in Copenhagen, Denmark, built and grown in California, taken public in New York City, and today employs more than 4,000 people across the world.

Machine Learning Engineer

Aug 2021 - Jun 2024

Responsibilities:
  • Collaborated with ML teams to build and improve machine-learning based solutions in customerservice.
  • Built training pipelines from scratch and optimised them to bring down training time from 7 days to 17 hours.
  • Developed training and evaluation framework for training language models with 200M text data, leading to a 15% improvement over open-source models for internal ML services.
  • Designing, developing, and maintaining production-grade ML services using Python and peer-reviewing codebases.
  • Extending and improving existing Machine learning libraries and systems.
  • Collaborated with cross-functional teams to define, design, and ship new features.
2

3
Cognitive View

Dec 2019 - Aug 2021

Melbourne, Australia

Cognitive View analyzes customer communication to identify Conduct Risk and automates Compliance monitoring process

Machine Learning Engineer

Dec 2019 - Aug 2021

Responsibilities:
  • Involved in End-to-End Machine Learning development
  • Developed deep learning models using state-of-the-art language models and helped improve compliance failure detection by 10%
  • Implemented solution to reduce false positives in complaint detection by 50%
  • Building ML Pipeline to continuously extract insights from historical complaints data for the past 10 years and running
  • Reduced inferencing time of the complete pipeline from 10 minutes to under 30 seconds
  • Initiated process to enable data team to move from manual labeling in spreadsheets to automated data labeling
  • Collaborated with Product Owners, QA and other teams in an agile environment to design the product features

Education

M.Sc in Computer Science
CGPA: 83.1 out of 100
B.Tech in Computer Science & Engineering
CGPA: 8.13 out of 10