Aman Jaiswal

Lead ML Engineer

India7 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

7 years of experience in production-grade ML systems.
Saved Walmart $3M+/year through ML innovations.
Expert in building end-to-end ML pipelines.

Stackforce AI infers this person is a Fintech and Retail-focused Machine Learning Engineer with extensive experience in data engineering.

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Skills

Core Skills

Machine LearningData EngineeringBig Data

Other Skills

AIAI agentsAirflowAmazon RedshiftAmazon S3Amazon Web Services (AWS)Apache AirflowApache KafkaApache NiFiAutomationC (Programming Language)Cascading Style Sheets (CSS)Cloud ComputingContinuous Integration and Continuous Delivery (CI/CD)Data Analysis

About

7 years of experience designing and deploying production-grade ML systems at petabyte scale, was last seen solving high-impact AI challenges at CRED (Unicorn fintech, LinkedIn Best Indian Startup 2022). My expertise lies in building end-to-end ML pipelines — from feature engineering, training, and experiment tracking to deployment, monitoring, and scaling — powered by distributed systems and cloud platforms (AWS, GCP, Databricks). At Walmart, I built ML systems that saved $3M+/year, including register loss recovery across 5000+ stores and automated invoice processing at near-zero manual effort. Technical Toolbox ML/AI: scikit-learn, PyTorch, MLflow, feature stores, model serving & monitoring Big Data: Apache Spark, Apache Flink, Apache Kafka, Hadoop, Hive, Streaming, Data Warehousing Cloud: AWS (Glue, S3, EMR, Lambda), GCP (BigQuery, Dataflow), Databricks Infra/Orchestration: Airflow, Docker, Kubernetes, CI/CD Backend: FastAPI, Flask, Django, Redis, REST APIs When I’m not optimizing risk models or designing ML infra, I love building AI tools from scratch — from agentic AI apps with LangGraph & Pydantic AI to real-time recommenders and microservices.

Experience

7 yrs 2 mos

Total Experience

2 yrs 2 mos

Average Tenure

6 mos

Current Experience

Harness

Senior Software Engineer II - Machine Learning

Dec 2025 – Present · 6 mos

Topmate.io

Career Advisor

Dec 2023 – Dec 2024 · 1 yr · Greater Bengaluru Area · Remote

In top 1% of all career advisors on the platform

Cred

Software Engineer - Machine Learning & Core Data

Nov 2023 – Dec 2025 · 2 yrs 1 mo · Bengaluru, Karnataka, India · On-site

CRED (rated LinkedIn's Best Company to Work For in India - 2022) rewards people for paying bills and offers instant loans. Valued at $6 billion, its key investors include Sequoia and Tiger.
At CRED, I was part of a 6 member data team responsible for solving all data problems for all CRED users. I spent most of my time building, scaling, and operationalizing the Data and ML ecosystem, from ingestion frameworks and real-time pipelines to ML platforms that helped teams ship models faster and safer. I worked hands-on across engineering, modeling, and infrastructure to ensure that ML at CRED was robust, observable, and production-grade.
Some of the major contributions during my time at CRED:
Built a scalable, modular, and extensive Data Quality framework that runs across all kinds of data sources
Wrote a custom ingestion framework extension to convert Delta to Iceberg table metadata, long before X-Table was launched
Deployed Spark extensions to trace, log, and analyze Spark queries in real time
Built SQL warehouse scaling logic to optimize cost, usage, and efficiency at the organization level
Built and deployed AI agents to solve operational use cases, simplifying tasks like access requests and error debugging, and reducing ops overhead by 30-40%
Built an end-to-end Token-as-a-Service system with a frontend to provide self-serve capabilities, making it easier for teams to create, use, and distribute tokens

Data Quality frameworkIngestion frameworkSpark extensionsSQL warehouse scalingAI agentsToken-as-a-Service+2

Walmart

Machine Learning Engineer III

Oct 2021 – Nov 2023 · 2 yrs 1 mo · Bengaluru, Karnataka, India

As a Data/ML Engineer, my responsibilities include:
Design, develop and deploy scalable data engineering solutions to solve complex big data problems at Walmart's scale.
Participate and contribute in system design discussions for data analytics and machine learning use-cases.
Work with Data Analysts and Data Scientists to write production level code which can not only scale but also be monitored to ensure minimal downtime.
Work with stakeholders with maximum accountability for data monitoring, data ownership and data governance to help multiple teams within Walmart.
Develop Big Data and Machine Learning solutions using a mix of GCP, Azure and internal cloud tools while leveraging technologies like Python, Airflow, Spark, Kafka, scikit-learn etc.
Major Achievements and Deliverables:
Built Data Engineering layer for platform to capture, feature engineer and train on ideas and suggestions from associates and employees from all of Walmart
Designed and deployed rule engine to process invoices 99% faster than existing workflows for Walmart legal cases and hearings to save costs.
Created a data monitoring framework from scratch to ensure data quality at lightning speed using PySpark and Pandas
Created re-usable package containing boilerplate code for all Data Engineering projects including streaming and batch use-cases.

Data EngineeringBig DataMachine LearningPythonAirflowSpark+1

To the new

2 roles

Software Engineer

Aug 2019 – Sep 2021 · 2 yrs 1 mo · Noida Area, India

Clients: PwC, Majid Al Futtaim
Domains: Finance, Hospitaility, Recruitment
As a Software Engineer / Data Engineer, my responsibilities include:
Designing scalable solutions that constitute microservices, web servers, APIs and distributed data systems to solve business problems efficiently
Creating and optimizing data pipelines and ETL workflows
Integration with different data sources
Adding complex transformation logic to make data uniform and understandable.
Root Cause Analysis for recurring issues and bugs in the system
Improve the overall code quality for better logging, minimum downtime and increased throughout
Build new microservices from scratch to fit business needs and Data Engineering team requirements
Manage and monitor orchestration and deployment of services

Trainee

Feb 2019 – Jul 2019 · 5 mos · Noida Area, India

During my training and bootcamp, I worked mainly with backend and fullstack technologies including but not limited to:
Django, Flask, Bottle
React JS, HTML/CSS
MySQL, MongoDB
Redis
AWS