Krishna Murthy

AI Researcher

Hyderabad, Telangana, India5 yrs 9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in transformer-based models for sports analytics.
  • Proven track record in AI research and development.
  • Strong background in machine learning and visual intelligence.
Stackforce AI infers this person is a Machine Learning Scientist specializing in Sports Analytics and AI Research.

Contact

Skills

Core Skills

Machine LearningTransformersAi ResearchGraph Learning

Other Skills

Anomaly DetectionArtificial Intelligence (AI)C (Programming Language)Canonical Correlation AnalysisComputer VisionDatabricks ProductsDeep LearningDeep Neural NetworksEngineeringGenerative AIGenerative AI Application Evaluation and GovernanceGenerative Adversarial Networks (GANs)GitHubGoogle Cloud Platform (GCP)Large Language Models (LLM)

About

As a Machine Learning Scientist at Dream11, I focus on advancing visual intelligence for racquet sports, leveraging large-scale transformer-based models for user churn and CLTV prediction. My role allows me to combine cutting-edge machine learning techniques with real-world applications in sports analytics. Graduating with a Master's degree in Artificial Intelligence from the Indian Institute of Science (IISc) in 2023, I bring expertise in transformers, large language models (LLMs), and graph learning. I am driven by a commitment to bridging the gap between research and impactful AI solutions in the sports domain.

Experience

Dream11

ML Scientist

Feb 2025Present · 1 yr 1 mo · Hybrid

  • Sports AI - Building Visual Intelligence for racquet sports.
  • Developed large-scale, transformer-based models for user churn and CLTV prediction.
TransformersLarge Language Models (LLM)Machine LearningComputer Vision

Fujitsu research

AI Researcher-II

Jul 2023Feb 2025 · 1 yr 7 mos · Bengaluru, Karnataka, India · Hybrid

  • Researched and developed AI solutions for enterprise systems — including anomaly detection and alert summarization tools — improving reliability (MTTR ↓92%) and performance (F1 ↑97%).
  • Applied graph learning and transformer-based approaches to time-series forecasting, bridging research innovation with real-world impact.
Anomaly DetectionGraph LearningTime Series ForecastingTransformer-based approachesAI Research

Legato health technologies

ML Research Intern

May 2022Jul 2022 · 2 mos · Hyderabad, Telangana, India

  • Deep Neural Networks learning dynamics and interpretability using Canonical correlation analysis
Deep Neural NetworksCanonical Correlation Analysis

National institute of ocean technology

Project Scientist -I

Aug 2019Nov 2020 · 1 yr 3 mos · Chennai, Tamil Nadu, India

Itc limited

Officer

Aug 2017Jun 2019 · 1 yr 10 mos · Coimbatore Area, India

Education

Indian Institute of Science (IISc)

Master's degree — Artificial Intelligence

Jan 2021Jan 2023

Osmania University

Bachelor of Engineering - BE — Electrical engineering

Jan 2013Jan 2017

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