R

Rajat Patel

AI Researcher

Bengaluru, Karnataka, India5 yrs 4 mos experience

Key Highlights

  • Expert in Machine Learning and Data Science.
  • Awarded Innovation Excellence Award for research contributions.
  • Developed novel fraud detection methods with published research.
Stackforce AI infers this person is a Fintech and AI specialist with strong expertise in Machine Learning and Data Science.

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Skills

Core Skills

Machine LearningData ScienceGraph Neural Network

Other Skills

Computer VisionActive LearningMLOpsNeuromorphic EngineeringLarge Language Models (LLM)

Experience

5 yrs 4 mos
Total Experience
1 yr 6 mos
Average Tenure
7 mos
Current Experience

Microsoft

Senior Applied Scientist

Sep 2025Present · 7 mos · Bengaluru, Karnataka, India · On-site

  • Microsoft Turing Team
Computer VisionActive LearningMLOpsMachine LearningData ScienceNeuromorphic Engineering+2

Walmart global tech

Senior Data Scientist

Mar 2024Sep 2025 · 1 yr 6 mos · Bengaluru, Karnataka, India · Hybrid

  • Market Intelligence Team
  • Product Matching for pricing and assortment use cases for Canada market
  • Platform Non exact product matching
Data ScienceMachine Learning

Mastercard ai garage

Data Scientist

Apr 2022Feb 2024 · 1 yr 10 mos · Gurugram, Haryana, India

  • ASI Enhancement:
  • Part of a 3-member team responsible for ideation, design, and modeling of a $xxM product deployed globally.
  • Feature engineering and built robust data processing pipelines for Mastercard data (55B transactions per year).
  • Interaction with stakeholders and teams across Mastercard along with successful PoCs with banks and merchants
  • Other threads:
  • Developed a novel approach for PLL on graphs for detecting first party fraud (2 papers published)
  • Self-attention-based sequence Encoder for card and merchant embeddings in real-time
  • Achievements:
  • Early Detection of High-Risk Merchants Hackathon - Winners across all categories
  • Awarded the Innovation Excellence Award Q3 2023 - For 5 patents and research contributions
Data ScienceGraph neural network

Jaguar land rover

2 roles

ADAS Systems Engineer

Apr 2021Mar 2022 · 11 mos

Audionostics | Machine Learning Engineer

Sep 2020Mar 2021 · 6 mos

  • Audio-based Fault detection in engines
  • Used active learning and Bayesian uncertainty to reduce labeling costs for noisy audio signals
  • Built DNNs on spectrogram data and deployed in MLops pipeline using GCP and Docker
Computer VisionMachine Learning

Texas instruments

Analog Intern

May 2018Jul 2018 · 2 mos · Bengaluru Area, India

Education

Indian Institute of Technology, Bombay

Dual Degree (B.tech + M.tech) — Electrical Engineering

Jan 2015Jan 2020

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