Headline

Staff Engineer (Data Platform & AI/ML) at Coupang | Distributed Systems, Agentic AI, Supply Chain, AdTech | Ex-Walmart, GE

About

I build production data and ML platforms at the intersection of supply chain, AdTech, and e-commerce systems that run at scale. Right now at Coupang, I am part of the team behind the cross-border inbound platform, shipment routing, capacity forecasting, and an ML prediction system that auto-corrects SKU misclassifications for 50K+ sellers across fulfillment centers. Before this, I spent more than two years at Walmart building privacy-compliant Data clean rooms for AdTech and real-time bidding engine that served ads at p99 200ms. Before that, I built the ETL and query engine for Algonomy's petabyte-scale retail personalization platform (200M+ shoppers), and led the core data platform team at GE processing real-time locomotive telemetry on AWS. Stack: Java · Spark · Kafka · Flink · XGBoost · Transformer models · RAG/LLM · AWS · GCP. I care most about where models meet production — serving infra, feedback loops, and drift detection. M.Tech BITS Pilani (Data Analytics) · IISc RL/AI · 4x Google Cloud Certified · 11+ yrs across e-commerce, AdTech, retail domain.

Location

Greater Bengaluru Area

AI stack

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Work experience

Staff Engineer (Data & AI/ML) at Coupang, Apr 2025 - Present · 1 yr 7 mos, Bengaluru, Led a 5-member team to design and own the data and ML platform powering Coupang's cross-border inbound logistics (Rocket Growth) across India, Taiwan - serving 50K+ sellers and 2M+ SKU listings across international fulfillment centers. • Architected ML-driven shipment routing and SKU capacity-type prediction with closed-loop feedback pipeline (Kafka → XGBoost/SBERT → DynamoDB) - reduced FC receiving discrepancy by 30% and improved inbound throughput by 45% • Built real-time capacity forecasting infrastructure with Temporal workflow orchestration for backfill, Grafana-based observability, and DLQ handling - enabling fully data-driven planning with zero manual intervention • Designed cascaded divergence detection model to auto-correct misclassified SKUs before downstream fulfillment impact, integrated as a production feedback loop with no babysitting required

Building In Stealth at Stealth AI Startup, Mar 2025 - Present · 1 y 7 mo, India, Building an AI-powered learning platform. Know Exactly Where You Stand..🚀

Senior Data Engineer (Ads & GenAI) at Walmart Global Tech India, Feb 2023 - Oct 2026 · 3 yrs 9 mos, Bengaluru, • Built privacy-compliant 1P data clean room on Snowflake and BigQuery (policy-as-code, tokenization, row/column-level security) with Spring Boot backend - cutting time-to-insight by 30% and pipeline latency by 35%. Layered ML-driven audience insights and automated attribution on top. • Designed real-time DSP bidding engine using Flink, Kafka, Cassandra, transformer embeddings, and MLflow to achieve p99 200ms latency and improving ad conversion rate by 12%. • Led 4-member team to build query intelligence and governance platform - custom query parser, ML-based column-level sensitivity detection, policy enforcement, and Spark workload optimization.

Senior Software Engineer (R&D) at Algonomy, Apr 2022 - Jan 2023 · 10 mos, On-site, Built query-parser ETL engine and auto-suggest/auto-complete service for Algonomy's petabyte-scale retail personalization platform serving 200M+ shoppers — Spark on EMR, Cassandra, Redshift with column-level metadata extraction, lineage, and rule-based query optimizations. Reduced query failures by 18% and improved pipeline reliability and developer productivity.

Software Engineer (R&D) at Algonomy, Apr 2020 - Mar 2022 · 2 yrs, Bengaluru, • Architected medallion data platform (bronze/silver/gold) for retail analytics and customer segmentation — ingesting unstructured signals via Kafka + PySpark on EMR, delivering governed data products with schema evolution and quality checks. Accelerated time-to-insight by 25% and enabled low-latency audience activation via Cassandra.

Product and growth (Tech) at Pinky Promise, Mar 2020 - Nov 2021 · 1 y 8 mo, Mumbai, Maharashtra, India, I worked here as a tech Manager, solution architect. My main responsibility was to manage tech team, solution design, guide and provides technical and functional inputs to the team. Close interaction with Management and stakeholders.

Lead Engineer at GE, Jan 2018 - Apr 2020 · 2 y 3 mo, Bengaluru, Architected an event driven data pipeline on AWS using spring boot, enabling real time ingestion and validation of locomotive telemetry data.

Systems Engineer at Tata Consultancy Service, Dec 2014 - Dec 2017 · 3 y, Bengaluru, Developed ingestion layer and batch framework with schema level validation and access controls, ensuring secure and reliable data processing. Implemented idempotency, retries and observability for system reliability using grafana

Education

Reinforcement Learning, Artificial Intelligence, Indian Institute of Science (IISc)

Master of Technology - M.Tech, Software Systems (Data Analytics), Birla Institute of Technology and Science, Pilani

Public links

github: https://github.com/TechReporter

knoweaseai.com: https://knoweaseai.com/