Prathyusha Barre

Associate Partner

Bengaluru, Karnataka, India6 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Improved model precision by 70% at JPMorgan.
Automated documentation process, reducing time by 90%.
Led development of AI solutions at Intel.

Stackforce AI infers this person is a Fintech and SaaS specialist with strong AI and Data Science expertise.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Data ScienceBusiness Development

Other Skills

Machine LearningData AnalysisPythonFeature EngineeringModel ValidationDeep LearningOpenVINOModel OptimizationSoftware DevelopmentMongoDBNeo4jPython (Programming Language)Microsoft OfficeTeamworkEnglish

About

Working as AI Specialist in Intel. Graduated from IIT Bombay with Electrical Engineering discipline. Skilled in Operations Management, Python, Data Analysis, Machine Learning, Deep Learning, OpenCV, Graph DB modelling, Data Interpretation, Data Structures and algorithms, MongoDB.

Experience

6 yrs 8 mos

Total Experience

1 yr 8 mos

Average Tenure

3 yrs 2 mos

Current Experience

Jpmorgan chase & co.

2 roles

Associate Vice President

Promoted

Dec 2024 – Present · 1 yr 5 mos

Spearheading development of 4 production trade surveillance models for Fixed Income, FX, Swaps FX, and Commodities, focusing on spoofing fraud detection; improved Fixed Income model precision by 70% through 400+ market specific features and custom Recursive Feature Elimination (RFE), potentially preventing over $1B in fines.
Automated MRGR Model Document generation using Agentic AI and GPT 4o, reducing manual effort by 80% and post modeling documentation time by 90% while ensuring regulatory compliance via a robust validation framework.
Achieved >95% recall in FX|SwapsFX|Commodities models using Weight of Evidence (WoE) features; designed asset-agnostic testing pipeline with 98% coverage integrating pyTest for scalability and maintainability

Machine LearningData AnalysisPythonFeature EngineeringModel ValidationArtificial Intelligence (AI)+1

Associate

Mar 2023 – Dec 2024 · 1 yr 9 mos

Developed high performance trade surveillance models enhancing precision/recall through advanced feature engineering and market intelligence.
Built scalable validation and testing frameworks, including custom RFE and pyTest pipelines, to support production deployment and ongoing model monitoring.

Machine LearningData AnalysisFeature EngineeringModel ValidationArtificial Intelligence (AI)Data Science

Intel corporation

Artificial Intelligence Architect

Aug 2020 – Mar 2023 · 2 yrs 7 mos · India

Primary focus on optimization of ML, Deep Learning model optimizations using state of Art techniques
Handholding customers for integrating the optimized models using OpenVINO and quantization
Develop and build AI solutions as per customer requirements

Machine LearningDeep LearningOpenVINOModel OptimizationArtificial Intelligence (AI)Data Science

Lishash

Artificial Intelligence Engineer

Mar 2020 – Aug 2020 · 5 mos · Banglore

Lishash is a Music app whose recommendations are based on a combination of both human and AI algorithms.
As a part of the core team member, I was responsible for leading all the backend aspects of the application and making the rest api calls as well
Designed a pipeline to get new tracks and store them in MongoDB, Neo4j and solved the problem of cold start using his context preferences
Used our own algorithm to recommend the next track to the user without interrupting his overall music experience

Data ScienceSoftware DevelopmentMongoDBNeo4jArtificial Intelligence (AI)

Racetrack.ai

Junior Software Engineer

Sep 2019 – Mar 2020 · 6 mos · Bengaluru Area, India

Data Analysis using Machine learning algorithms.
Worked on Neo4j software for Data modelling and Schema design for understanding the bigger picture of huge data easily.
Implemented CV techniques as a part of the project for data annotation and data clean up

Data AnalysisMachine LearningNeo4jData Science