Gautam Garg

CTO

Bengaluru, Karnataka, India12 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Over 10 years of experience in technology and engineering.
  • Expertise in machine learning and AI-driven solutions.
  • Proven track record in leading engineering teams.
Stackforce AI infers this person is a Fintech and Big Data expert with strong leadership in AI/ML solutions.

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Skills

Core Skills

Machine LearningPlatform EngineeringBig Data AnalyticsDistributed ComputingAlgorithmic Trading

Other Skills

PythonCloudAI/ML modelingDockerCompute clustersJupyter NotebooksModel Experiment TrackingReal-time content ingestionBig DataAnalyticsDistributed SystemsContent ManagementReal-time ProcessingStatistical TechniquesR Programming

About

With over 10 years of experience in technology and engineering, I bring expertise in machine learning, platform engineering, and AI-driven solutions to my role as Engineering Director at American Express. Committed to driving innovation, I lead with a vision to enhance developer experience and deliver impactful solutions that align with organizational objectives. My mission is to contribute to a seamless and scalable AI/ML infrastructure that empowers analysts and modellers across the enterprise to achieve their goals efficiently. At American Express, I lead the Engineering team in advancing the Machine Learning Platform, focusing on creating scalable solutions for end-to-end AI/ML modeling in cloud. By collaborating with multiple stakeholders, our team ensures a unified experience for over 10000 analysts, engineers & data scientists, enables governance, minimizes risk, optimizes time to market, and enhances the development process. My contributions emphasize platform engineering, machine learning, and results-driven innovation.

Experience

American express

5 roles

Engineering Director, Machine Learning Platform

Promoted

Oct 2022Present · 3 yrs 5 mos

  • ● Drive Amex AI/Machine Learning Platform Engineering vision, strategy, and execution, focusing on building capabilities & scaling journeys for end-to-end AI/ML modelling on 7+ environments across shared compute clusters, docker containers and public cloud.
  • ● Collaborate with multiple stakeholders across product and technology organisations to enable a consistent unified experience for 2500+ Enterprise analysts and modellers to minimise risk exposure, reduce time to market and ensure an optimised developer experience.
  • ● Leading an Engineering team delivering highly scalable Discovery & Development platform components and self-serve machine learning capabilities for assisting users with model discovery, development, evaluation capabilities like Jupyter Notebooks, Model Experiment Tracking, Automated Model Learning, Hyperparameter tuning, Scheduling.
  • ● Cultivating top talent by recruiting, driving technical & leadership development, coaching and mentoring engineers whilst fostering a culture of innovation and cross collaboration.
Machine LearningPlatform engineeringPythonCloudAI/ML modeling

Senior Engineering Manager, Machine Learning Platform

Promoted

Aug 2021Sep 2022 · 1 yr 1 mo

Senior Engineer

Promoted

Jan 2019Aug 2021 · 2 yrs 7 mos

Engineer I

Apr 2017Dec 2018 · 1 yr 8 mos

Engineer II

Feb 2015Mar 2017 · 2 yrs 1 mo

Yahoo

Senior Software Engineer

Jul 2013Dec 2014 · 1 yr 5 mos · Bengaluru Area, India

  • Distributed computing hybrid application across on-premise and cloud infrastructure.
  • ● Yiral : Big Data analytics pipeline to generate referral stats from user feed for all Yahoo properties.
  • ● Content Ingestion and Enrichment: Responsible for filtering and improving content of raw feed to all major Yahoo sites on a real-time content ingestion platform
Distributed computingBig Data analyticsReal-time content ingestion

Neural technology and software

Summer Internship

May 2011Jul 2011 · 2 mos · Mumbai Area, India

  • Automated Algorithmic Trading using pairs trading strategy in NSE
  • ● Developed dynamic database of minute-wise & daily positions for 10 years NSE Futures traded using R package
  • ● Modeled relation among time series of stocks using statistical techniques like Co-integration, correlations
  • ● Created module to automatically detect live entry and exit signals to place orders efficiently
Algorithmic TradingStatistical TechniquesR Programming

Education

Indian Institute of Technology, Delhi

Integrated M. Tech — Mathematics and Computer Science

Jan 2008Jan 2013

Kalka Public School

Jan 2006Jan 2008

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