Pawan Kumar — CTO
Lead Engineer with 12+ years of experience building high‑scale, mission‑critical platforms across Retail, Finance, Education, and Defense. I specialize in Java/Spring Boot microservices, Kafka eventing, and Kubernetes‑based distributed systems, with a proven track record of meeting stringent SLOs at peak scale. At Target, I lead Content Pipeline, an end‑to‑end orchestration platform that processes 1.5–2M digital assets/day across automated ingestion and UI workflows. The platform manages the lifecycle of images, videos, size charts, and other digital assets for Target.com and multiple downstream systems. My work spans automated ingestion; AI/ML‑driven enrichment (swatches, alt text, product descriptions, infographics); object storage using TOSS/GCS; asset optimization/validation; profanity & security checks; CDN integration; and publishing enriched content to guest‑facing systems. This platform directly impacts guest experience, content discoverability, and digital scale. I have also delivered SOX‑compliant, high‑TPS services for Vendor Management (VMM), Item Management (Launchpad), and broader Digital Content systems. I scaled Launchpad Item MDM from a one‑person effort to a 10+ engineer team in India and enabled foundational MDM capabilities adopted globally. I drove AI adoption in Item MDM—automated titles, dimension extraction, and IP classification—speeding up item setup and improving data quality. Led IMN Mainframe decommission and modernized Dynamic Assortment, Presentation Attributes, and Item Location Purge (delivered $130M financial impact). Improved system availability to ~99.99% and boosted performance ~50% using Redis, Elasticsearch, caching, indexing, and distributed processing. Technical Skills Backend Engineering: Java 8+, Kotlin, Python, Spring Boot, Microservices, REST, distributed systems Orchestration & Workflows:*Temporal Containers & Cloud: Kubernetes, Docker, CI/CD (GitHub Actions/Jenkins/Argo), IaaS/PaaS Data & Storage: PostgreSQL, MySQL, Redis, Elasticsearch, MongoDB, TOSS, GCS Messaging & Eventing: Apache Kafka (producers, consumers, streams) Other: Performance tuning, resiliency patterns, security/compliance, DR/failover Key Achievements • $130M financial impact (Item Location Purge) • 50% performance improvement • ~99.99% availability via DR/failover • AI adoption across Item MDM workflows
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in Retail and Cloud Computing.
Location: Bengaluru, Karnataka, India
Experience: 14 yrs 8 mos
Skills
- Microservices
- Kubernetes
- Performance Tuning
- Java
- Cloud Computing Iaas
Career Highlights
- Led initiatives generating $130M financial impact.
- Improved system performance by 50% using advanced technologies.
- Achieved ~99.99% system availability through robust strategies.
Work Experience
Target
Lead Engineer (3 yrs 8 mos)
Sr. Engineer (4 yrs 9 mos)
IBM
Staff Software Engineer (1 yr 6 mos)
IPsoft
Research and Development Engineer (2 yrs 1 mo)
Centre for Artificial Intelligence and Robotics
Project Trainee (10 mos)
IAP Company Pvt. Ltd.
Programme Assistant (1 yr 2 mos)
SUDO Technologies Pvt. Ltd.
Software Engineer (1 yr 6 mos)
Education
M.Tech at Manipal University Jaipur
Master of Computer Applications (MCA) at University of Kota - India
12th at Maharana School Dholpur