Venkatesh Giri Iyer

AI Researcher

Glasgow, Scotland, United Kingdom4 yrs 3 mos experience

Highly Stable

Key Highlights

Successfully deployed machine learning models on AWS.
Expanded TAP ML & AI community from 20 to over 400 members.
Achieved 82% accuracy in product failure predictions.

Stackforce AI infers this person is a Machine Learning Engineer with a strong focus on Fintech and Cloud Infrastructure.

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Skills

Core Skills

Machine LearningAwsSoftware DevelopmentData ManagementData AnalysisCloud Infrastructure

Other Skills

AWS SageMakerAmazon BedrockAmazon Web Services (AWS)AngularAngular 16CC++Cascading Style Sheets (CSS)CybersecurityData ScienceDatabasesDeep LearningElectronic TradingExploratory Data AnalysisFlask

About

As a Machine Learning Engineer at Barclays, I leverage my expertise in Python, TensorFlow, and AWS to deploy machine learning models that enhance business processes and deliver actionable insights. I have successfully refactored data scientist's code into production-ready Kedro pipelines with 100% test coverage, ideated a proof of concept for large language models to automate code translation, and expanded the TAP ML & AI community from 20 to over 400 members. Previously, I was a Software Developer at Barclays, where I engineered code to enrich and enhance older trades, developed Python scripts to update and save 300k trades, and worked on a financial crime tracking application using Angular 16 and Spring Boot 2 on OpenShift. I also founded and led TAP ML & AI, a community that organizes industry-relevant machine learning workshops and networking sessions. Additionally, I interned as a Software Engineer at Cisco, where I conceptualized a machine learning project to minimize human intervention, trained ensemble machine learning models for predicting product failures, and delivered Tableau dashboards for analyzing and tracking active bugs within the Snowflake Database. I hold a Bachelor of Engineering degree in Electrical, Electronics and Communications Engineering from B. M. S. College of Engineering.

Experience

Jpmorganchase

Senior Associate - AI/ML Engineer III

Jul 2025 – Present · 8 mos · Glasgow, Scotland, United Kingdom · On-site

Barclays

3 roles

Machine Learning Engineer

Jun 2024 – Jul 2025 · 1 yr 1 mo · Glasgow, Scotland, United Kingdom

Deployed Machine Learning models on AWS with autonomous data and model monitoring.
Refactored Data Scientist’s code into production-ready Kedro pipelines with 100% test coverage.

PythonTensorFlowAWSKedroMachine Learning

Co - Founder and Lead - Elevate AI/ML

Dec 2023 – Jul 2025 · 1 yr 7 mos · Glasgow, Scotland, United Kingdom

Software Developer

Sep 2022 – Jun 2024 · 1 yr 9 mos · Glasgow, Scotland, United Kingdom

Engineered code to enrich and enhance older trades, facilitating the transition from LIBOR to RFR.
Developed Python scripts to efficiently update and save 300k trades, showcasing expertise in streamlined data management.
Worked on a financial crime tracking application using Angular 16 and Spring Boot 2 on OpenShift, onboarding 6 new teams and empowering over 20 teams to track fraudulent payments.
Developed multiple microservices that streamlined the trade modification process, leading to a 60% increase in trade efficiency and significant time savings, facilitating seamless trade modifications for traders.
Founded and led TAP ML & AI, a community that organizes industry-relevant machine learning workshops and fosters a diverse ML & AI network, facilitating the transition of over 400 colleagues into data science.
Facilitated "Graduate Spotlight" community events guiding graduates' professional journey.

PythonAngular 16Spring Boot 2OpenShiftSoftware DevelopmentData Management

Cisco

Software Engineer Intern

Feb 2022 – Jul 2022 · 5 mos · Bangalore Urban, Karnataka, India

Conceptualized a Machine Learning project designed to minimize the need for human intervention, enabling automatic signature creation, and utilizing Natural Language Processing and Deep Learning.
Trained ensemble Machine Learning models for predicting product failures, achieving an accuracy enhancement from 54% to 82%, resulting in a threefold reduction in the failure rate and improved product quality.
Delivered Tableau Dashboards for analyzing and tracking over 10000 active bugs within the Snowflake Database, significantly reducing the time required to address these issues.

Machine LearningNatural Language ProcessingDeep LearningTableauData Analysis

Nokia

Machine learning Project Intern

Mar 2021 – Jul 2021 · 4 mos · Bengaluru, Karnataka, India · Remote

Developed multiple ensemble Machine Learning Models to predict Solar Energy, increasing R2Score from 0.44 to 0.89 using hyper parameter tuning.
Created a research based Solar Energy Forecasting model using LSTM
Presented project at Nokia University Conclave 2021, showcasing innovative renewable energy solutions.

Machine LearningLSTM