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I'm a seasoned Full Stack Software Engineer based in San Francisco with 5 years of experience building AI-powered web applications using React.js, Java (Spring Boot), and Python (FastAPI). I design, implement, and scale backend services, data pipelines, and cloud-native solutions on AWS, Docker, Kubernetes, and CI/CD pipelines to deliver measurable business impact. I enjoy turning complex requirements into reliable, maintainable code that improves merchant experiences and drives growth. I thrive in cross-functional Agile teams, collaborating closely with product, data science, AI/ML, and compliance to ship high-quality features. I mentor teammates on clean coding, testing, and deployment practices while communicating technical concepts clearly to stakeholders and translating data-driven insights into actionable strategies.…I'm a seasoned Full Stack Software Engineer based in San Francisco with 5 years of experience building AI-powered web applications using React.js, Java (Spring Boot), and Python (FastAPI). I design, implement, and scale backend services, data pipelines, and cloud-native solutions on AWS, Docker, Kubernetes, and CI/CD pipelines to deliver measurable business impact. I enjoy turning complex requirements into reliable, maintainable code that improves merchant experiences and drives growth. I thrive in cross-functional Agile teams, collaborating closely with product, data science, AI/ML, and compliance to ship high-quality features. I mentor teammates on clean coding, testing, and deployment practices while communicating technical concepts clearly to stakeholders and translating data-driven insights into actionable strategies.

ASHOK KUMAR THULSEGARI

Full Stack Developer, Back-End Developer, Front-End Developer, +3

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I'm a seasoned Full Stack Software Engineer based in San Francisco with 5 years of experience building AI-powered web applications using React.js, Java (Spring Boot), and Python (FastAPI). I design, implement, and scale backend services, data pipelines, and cloud-native solutions on AWS, Docker, Kubernetes, and CI/CD pipelines to deliver measurable business impact. I enjoy turning complex requirements into reliable, maintainable code that improves merchant experiences and drives growth. I thrive in cross-functional Agile teams, collaborating closely with product, data science, AI/ML, and compliance to ship high-quality features. I mentor teammates on clean coding, testing, and deployment practices while communicating technical concepts clearly to stakeholders and translating data-driven insights into actionable strategies.…I'm a seasoned Full Stack Software Engineer based in San Francisco with 5 years of experience building AI-powered web applications using React.js, Java (Spring Boot), and Python (FastAPI). I design, implement, and scale backend services, data pipelines, and cloud-native solutions on AWS, Docker, Kubernetes, and CI/CD pipelines to deliver measurable business impact. I enjoy turning complex requirements into reliable, maintainable code that improves merchant experiences and drives growth. I thrive in cross-functional Agile teams, collaborating closely with product, data science, AI/ML, and compliance to ship high-quality features. I mentor teammates on clean coding, testing, and deployment practices while communicating technical concepts clearly to stakeholders and translating data-driven insights into actionable strategies.

Available to hire

I’m a seasoned Full Stack Software Engineer based in San Francisco with 5 years of experience building AI-powered web applications using React.js, Java (Spring Boot), and Python (FastAPI). I design, implement, and scale backend services, data pipelines, and cloud-native solutions on AWS, Docker, Kubernetes, and CI/CD pipelines to deliver measurable business impact. I enjoy turning complex requirements into reliable, maintainable code that improves merchant experiences and drives growth.

I thrive in cross-functional Agile teams, collaborating closely with product, data science, AI/ML, and compliance to ship high-quality features. I mentor teammates on clean coding, testing, and deployment practices while communicating technical concepts clearly to stakeholders and translating data-driven insights into actionable strategies.

Skills

Experience Level

Expert

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Intermediate

Language

English

Fluent

Work Experience

Python Engineer at Kroger

January 1, 2025 - January 1, 2025

Built Python (Pandas, PySpark, SQLAlchemy) pipelines to process billions of transaction records, enabling retail media ad targeting and delivering an 18% uplift in ROI for CPG brand campaigns. Developed real-time attribution models and performance dashboards (Python, SQL, Tableau, Power BI), reducing reporting turnaround by 40% and improving marketing decision-making speed. Partnered with data science (84.51°) to deploy ML models (scikit-learn, TensorFlow, PyTorch) for audience segmentation, driving a 20% lift in engagement across digital ad campaigns. Their analytics unit (84.51°) uses Azure, Databricks, and Snowflake for its Collaborative Cloud platform serving CPG partners. Created visual analytics dashboards using Tableau, Power BI, and Looker to convert complex retail media KPIs into executive-ready insights for cross-functional stakeholders. Collaborated cross-functionally with product, marketing, and compliance teams, translating technical outputs into business-friendly strate

Software Engineer – Backend at Shopify

January 1, 2025 - November 3, 2025

Backend services for AI-driven product discovery and POS v10 modernization, improving checkout speed by 30% and adoption across 93K+ Indian merchants. Automated GraphQL API migration pipelines in Python, reducing manual integrations by 45% and ensuring seamless OMS/ERP synchronization. Integrated AI modules into Shopify Admin using React.js, TypeScript, and Polaris, reducing content preview latency by 30%. Delivered 150+ features in Summer ’25 rollout, contributing to an 8.9% YoY sales uplift for retailers adopting Shopify’s unified commerce platform. Proficient in Python (Flask, Django, FastAPI, Pandas, NumPy) with REST/GraphQL APIs, microservices, AsyncIO, Celery, Kafka. Built React-based dashboards integrated with FastAPI services to improve merchant reporting UX and reduce navigation time by 25%. Deployed on AWS (EKS, Lambda, S3, Glue) with IaC (Terraform, Helm, CloudFormation) and CI/CD (GitHub Actions, Jenkins). Designed ETL workflows (Airflow, DBT, Spark/PySpark) for e-comme

Python Engineer at Kroger

February 1, 2024 - January 31, 2025

Built Python (Pandas, PySpark, SQLAlchemy) pipelines to process billions of transaction records, enabling retail media ad targeting and delivering an 18% uplift in ROI for CPG brand campaigns. Developed real-time attribution models and performance dashboards (Python, SQL, Tableau, Power BI), reducing reporting turnaround by 40% and improving marketing decision-making speed. Partnered with data science (84.51°) to deploy ML models (scikit-learn, TensorFlow, PyTorch) for audience segmentation, driving a 20% lift in engagement across digital ad campaigns. Their analytics unit (84.51°) uses Azure, Databricks, and Snowflake for its Collaborative Cloud platform serving CPG partners. Created React-powered performance dashboards integrated with Python/SQL backends, reducing reporting turnaround by 40%. Applied MLOps and DevOps tools (Airflow, MLflow, Docker, Kubernetes, Terraform, GitHub Actions) to automate deployments, ensuring robust CI/CD pipelines, system observability, and production s

Software Engineer at Accenture

July 1, 2021 - July 1, 2021

Assisted cross-functional teams under Agile/Scrum in delivering omnichannel digital features ahead of schedule, ensuring alignment between business requirements and technical solutions. Supported deployment of scalable APIs and microservices using Python (Flask, Django REST) on AWS (Lambda, S3, RDS, DynamoDB), improving platform scalability and reliability. Developed real-time data pipelines with Python, pandas, and PySpark to unify online and in-store systems, enabling a 360° customer view and improving personalization accuracy by 22%. Analyzed large-scale customer and transaction datasets using Python and SQL/NoSQL (PostgreSQL, MongoDB, Redis), generating insights that increased customer retention by 18%. Built machine learning models (recommendation engines, segmentation) with scikit-learn, TensorFlow, and PyTorch, driving targeted marketing campaigns and boosting conversion rates. Supported CI/CD automation with GitHub Actions, Jenkins, Docker, and Kubernetes, reducing release cyc

Software Engineer at Accenture

February 1, 2019 - July 31, 2021

Assisted cross-functional teams under Agile/Scrum in delivering omnichannel digital features ahead of schedule, ensuring alignment between business requirements and technical solutions. Supported deployment of scalable APIs and microservices using Python (Flask, FastAPI, Django REST) on AWS (Lambda, S3, RDS, DynamoDB), improving platform scalability and reliability. Developed real-time data pipelines with Python, pandas, and PySpark to unify online and in-store systems, enabling a 360° customer view and improving personalization accuracy by 22%. Analyzed large-scale customer and transaction datasets using Python and SQL/NoSQL (PostgreSQL, MongoDB, Redis), generating insights that increased customer retention by 18%. Built machine learning models (recommendation engines, segmentation) with scikit-learn, TensorFlow, and PyTorch, driving targeted marketing campaigns and boosting conversion rates. Supported CI/CD automation with GitHub Actions, Jenkins, Docker, and Kubernetes, reducing re