Kamal Kant

Product Manager

Gurgaon, Haryana, India5 yrs 9 mos experience

Highly StableAI Enabled

Key Highlights

Led development of AI-driven solutions at Mastercard.
Published a paper and secured a patent in AI.
Developed a product used by over 1100 issuers globally.

Stackforce AI infers this person is a Fintech professional with expertise in AI and machine learning solutions.

Contact

Skills

Core Skills

Machine LearningData AnalysisArtificial Intelligence (ai)

Other Skills

Microsoft ExcelBitbucketPeople ManagementProduct ManagementDeep LearningPython (Programming Language)KubernetesMicrosoft OfficeAndroid StudioRaspberry PiInterpersonal RelationshipsWorkplace Relations

About

Experienced ML Engineer with a demonstrated history of working in the information technology and services industry. • Skilled in Python, Spark, Hadoop, Impala, H20 AutoML, and Internet of Things. • Strengths: Strong engineering fundamentals with a B.Tech in CSE from IIT Roorkee, experienced in AI production cycle, zealous to learn about academic, corporate and industrial aspects, strong work ethics, punctual

Experience

Mastercard ai garage

4 roles

Manager

Mar 2025 – Mar 2025 · 0 mo

Senior Machine Learning Engineer

Sep 2022 – Mar 2025 · 2 yrs 6 mos

Microsoft ExcelBitbucketMachine LearningPeople ManagementData AnalysisProduct Management

Machine Learning Engineer II

Promoted

Feb 2021 – Sep 2022 · 1 yr 7 mos

Position: Working as an ML Engineer, I have built ML models for handling billions in the amount of MasterCard transaction data and deployed AI-driven solutions to increase the efficiency and reduce manual effort.
Achievements: Published a paper (MoDest) and a Patent, participated in 2 hackathons, and worked on 5 projects. For my diligent efforts, I received a promotion in Feb 2021.
Leading a group of 3 in the production of AI Garage’s 1st revenue-generating product AI Account Intelligence. Product is monthly deployed globally for more than 1100 issuers to provide cardholders spend behavior, fraud predictions in several categories, and GDV categorization for filtering targets for campaigns, products, and advertisements.

Artificial Intelligence (AI)Microsoft ExcelBitbucketDeep LearningPython (Programming Language)Machine Learning

Machine Learning Engineer I

Jun 2019 – Feb 2021 · 1 yr 8 mos

Conceptualized and designed a state-of-the-art solution, exemplifying the “divide and conquer” approach for information extraction from visually rich documents (VRDs) in real-time for verification, design validation & compliance. MoDest is based on this project.
Deployed an XGBoost model over word embedding of contracts using word2vec, to extract high-risk third-party contracts with MasterCard for catching fraud and decrease risk factor by at least 70%
Formalized a system for mergers and acquisitions (M&A) of 10,000 US based financial institutes through knowledge graph, using LSTNet time-series forecasting over historical financial records and NLP to parse related news articles, with 80% precision with 65% recall
Secured 1st position for creating an AI Engine to predict server failure at Mastercard AIOps challenge held in Dec 2019.

Microsoft ExcelBitbucketKubernetes

Samsung india

Intern

May 2018 – Jul 2018 · 2 mos · Delhi

Project: POC for creating decentralized IoT servers using blockchain technology.
Worked as an intern to develop a Dapp using solidity language and truffle framework to allow transaction over decentralized network.

Prago technologies

Intern

May 2017 – Jul 2017 · 2 mos · IIT Roorkee

Product: A mobile payment service platform that provides communication between merchant and customer using Bluetooth Low Energy (BLE) devices and keeps track of goods available in store.
Worked as an Internet of Things Intern developing an android app for merchant and client communication and triggering nearby notifications using Bluetooth Beacons using AMQP and MQTT protocols.