Abhijit Mondal

Lead ML Engineer

Bengaluru, Karnataka, India9 yrs 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Machine Learning and MLOps.
Led multiple successful AI-driven projects.
Strong background in cloud computing and automation.

Stackforce AI infers this person is a Cloud Computing and E-commerce expert with strong Machine Learning capabilities.

Contact

Skills

Core Skills

Machine LearningMlopsAutomationSoftware Development

Other Skills

Distributed SystemsApache SparkRust (Programming Language)Numerical OptimizationMentoringPricing OptimizationEconomicsDynamic PricingPythondockerKubernetesContinuous Integration and Continuous Delivery (CI/CD)Machine Learning AlgorithmsTensorFlowCore Java

About

High Performance Computing for ML and AI

Experience

9 yrs 4 mos

Total Experience

1 yr 6 mos

Average Tenure

2 mos

Current Experience

Uber

Staff ML Engineer

Mar 2026 – Present · 2 mos · Bengaluru

Marketplace Health

Roku

Senior Software Engineer Machine Learning (Ads ML)

Feb 2025 – Mar 2026 · 1 yr 1 mo · Bengaluru · Hybrid

Building and optimising ads CTR models, low latency feature store and cache for ads machine learning models.

Microsoft

Senior Software Engineer

May 2022 – Feb 2025 · 2 yrs 9 mos · Bengaluru, Karnataka, India · Hybrid

Tech Lead for Azure Spot Dynamic Pricing.

Distributed SystemsApache SparkMLOpsRust (Programming Language)Machine LearningNumerical Optimization+7

Twilio

Staff Software Engineer, Machine Learning

Aug 2020 – Feb 2022 · 1 yr 6 mos · Bengaluru, Karnataka, India

Tech Lead for Identity Resolution in Customer Relationship Graph

Continuous Integration and Continuous Delivery (CI/CD)Machine Learning AlgorithmsTensorFlowCore JavaMLOpsNatural Language Processing (NLP)+6

Walmart

Senior Data Scientist

Jul 2018 – Feb 2020 · 1 yr 7 mos · Bengaluru Area, India

IC and Tech Lead for attribute extraction framework for Online Grocery developed using BiLSTM- CRF, Logistic Regression and Machine Translation with Attention. AE models improved search and recommendations CTR by more than 10%.
Tech Lead for the image placeholder detection model for Walmart US catalog. Led a team of 4 members from India and US. Reduced the percentage of non-image products in the catalog by 13%.
Independently developed a Multi-Modal (Image + Text) attribute extraction on Distributed TensorFlow clusters. Improved recall for certain AE models by at least 7%.
Mentoring teammates and peers on Distributed deep learning and CUDA programming

Machine Learning AlgorithmsTensorFlowApache SparkMLOpsNatural Language Processing (NLP)Kubernetes+6

Amazon

Software Development Engineer

Jan 2014 – Nov 2014 · 10 mos · Bengaluru Area, India

Designed automation framework for testing for product detail pages and search pages across all of Amazon.com.
Developed a single framework for Web, Mobile-Web and Mobile App testing.
Developed a HTML Diff library for comparing multiple versions of pages and an Image Diff library for comparing screenshots.

Amazon Web Services (AWS)JavaAutomationSeleniumMobile Application DevelopmentSoftware Development

Holidayiq

Software Engineer

Jul 2012 – Dec 2013 · 1 yr 5 mos · Bengaluru Area, India

Tech lead for the recommendation systems. Completely renovated the hotel and destinations recommendations that were modelled on graph algorithms. Improved overall recommendation CTR by 25%.
As an IC, developed the search for the all the HolidayIQ domains using Solar and Lucene libraries. Improved the performance of search by 300x to 300ms over existing implementation

PHPMySQLNeo4jJavaScriptSoftware Development