Nitin Das

Machine Learning Engineer

Bengaluru, Karnataka, India2 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Reduced CI/CD time by 70% at Walmart.
Developed LLM Post Monitoring Service improving efficiency by 52%.
Built high-accuracy NLU chatbot service at Expedia.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in MLOps and backend development.

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Skills

Core Skills

MlopsPythonMachine LearningDockerNode.jsMysqlNluFlask

Other Skills

AI AgentsAirflowAlgorithmsAmazon EC2Amazon Elastic Container Registry (ECR)Android DevelopmentAngularJSApache AirflowC++Cascading Style Sheets (CSS)CircleCICompetitive ProgrammingData StructuresDatabase Management System (DBMS)Debugging

About

Nitin Das(Software Engineer | MLOps | Cloud & AI/ML | Backend Development) I am a Software Engineer II at Walmart Global Tech, specializing in MLOps, cloud computing, and backend development. My work focuses on optimizing ML pipelines, automating deployments, and enhancing AI model monitoring to improve scalability and efficiency. At Walmart, I reduced CI/CD time by 70% by optimizing multi-cloud ML pipelines and developed an LLM Post Monitoring Service, improving model evaluation efficiency by 52%. I also led the migration of Walmart’s ML platform to Ubuntu, increasing customer adoption by 37%, and reduced costs by 28% by transitioning to free Conda channels. Previously, I built a high-accuracy NLU chatbot service at Expedia and contributed to backend development at FreshPrints using Node.js and MySQL. Technical Skills Languages: Java, Python, C++, JavaScript, SQL Cloud & DevOps: AWS, GCP, Kubernetes, Docker, Airflow, CI/CD Backend & Databases: SpringBoot, Flask, Node.js, MySQL, DynamoDB Ranked Expert on Codeforces (1703) and Global Rank 99 on CodeChef, I am passionate about AI, MLOps, and cloud computing.

Experience

Mercari india

Machine Learning Engineer - 2

Dec 2025 – Present · 3 mos · Bengaluru, Karnataka, India · Hybrid

Walmart global tech india

2 roles

Software Engineer 3 - ML

Jun 2025 – Nov 2025 · 5 mos · Bengaluru, Karnataka, India

Developing AI Agentic workflow with Google ADK for MLOps multi cloud batch pipeline
Developing multi-turn agent conversation evaluation framework

Software Engineer 2- ML

Jul 2023 – Jun 2025 · 1 yr 11 mos · Bengaluru, Karnataka, India

1. Developed and Optimized MLOps to support multi-cloud batch pipeline deployments using SpringBoot, YAML.
◦Optimized environment rebuild for MLOps PySpark and Serverless pipelines, achieving 70% faster CI/CD.
◦ Developed dynamic Dataproc cluster creation, task resources, properties, env variables and arguments using
Airflow variables giving developers more flexibility over Airflow jobs and reducing job configuration time by 45%.
◦ Developed custom Sensor and Trigger Airflow operators, trigger rule support for all Airflow tasks
2. Developed LLM Post Monitoring Service, evaluating model performance with metrics: accuracy, hallucination, bias,
and drift. Automated alerts triggered for threshold breaches, improving monitoring efficiency by 52% using Python.
3. Migrated Walmart’s in-house ML platform from CentOS to Ubuntu, implementing changes in shell scripts, Docker
commands, and OS configurations to enhance compatibility for AI/ML development which incresed customer adoption
by 37%.
4. Migrated entire ML platform from paid Conda channels to free channels reducing cost by 28%.

MLOpsSpringBootYAMLPythonAirflowDocker

Fresh prints

Full Stack Web Intern

Jan 2023 – Apr 2023 · 3 mos · Remote

Guide: Srini Raju(Engineering Director), Manoj Kulkarni(Manager)
1. Wrote a NodeJS backend service to connect and fetch invoice data from the MySQL database using Sequelize .
2. Wrote CI/CD pipeline for CirceCi.
3. Wrote deployment script to deploy the Service on AWS ECR and ECS.
4. Bug Fixes of the FreshPrints website.

Expedia group

SDE intern

May 2022 – Jul 2022 · 2 mos · Gurugram, Haryana, India

Guide: Shimla Rawat (Manager), Aman Paliwal(SDE-3)
Project 1: Created an NLU service from scratch for a chatbot. My task: gather
user-utterance for the training dataset, apply NLP for preprocessing, build an ML model for Text Classification(with 95% accuracy using SVM), and create API endpoints to use my NLU service.
Skill Utilized: NLU, ML, Flask.
Project 2: Added new features in the front end. My tasks: add loading functionality during data processing, add alerts to show whether API calls to the backend are successful or failed, and show or hide UI functionality based upon user access.
Skill Utilized: React JS, Node JS, Git.

NLUFlaskReact JSNode JS