Complete Career Timeline
17+ years of engineering leadership, scalable lakehouses, and production AI platforms.
Staff Engineer
Walmart Global Tech India·Bengaluru, India
Feb 2025 – Present (1 yr 8 mos)
Primary Impact: Automated root-cause analysis and migration planning across thousands of petabyte-scale Spark jobs, reducing migration cycles and cluster operational overhead by over 30%.
Core Responsibilities:
Led the architecture and delivery of enterprise Agentic AI platforms for governance, metadata intelligence, lineage, and engineering automation across Walmart-scale petabyte data ecosystems.
Defined and implemented production-grade LLM platform capabilities spanning RAG, LangGraph, Model Context Protocol (MCP), OAuth, fine-tuning, evaluation, and observability for secure enterprise AI adoption.
Drove AI-powered Spark reliability, optimization, and upgrade initiatives for mission-critical workloads operating on petabyte-scale data and high-volume distributed clusters.
Provided technical leadership across enterprise AI/ML and big data platforms, mentoring engineers and shaping multi-year technical roadmaps.
Technologies & Frameworks:
Agentic AILangGraphMCPRAGSparkKafkaPythonVector Search
Principal Engineer
Twilio·Bengaluru, India
Nov 2022 – Jan 2025 (2 yrs 3 mos)
Primary Impact: Processed billions of messages daily with sub-50ms inference latency while driving massive infrastructure cost efficiencies.
Core Responsibilities:
Led architecture and engineering for production ML and data systems supporting messaging intelligence, compliance, fraud/risk detection, and growth use cases.
Built and productionized NLP classification systems using transformer models and traditional ML, covering model evaluation, inference, latency optimization, and production monitoring.
Designed large-scale streaming and batch ML pipelines using Spark, Kafka, AWS EMR Serverless, Apache Iceberg, and Airflow (MWAA) for high-volume production messaging workloads.
Improved performance, reliability, and cloud costs of ML and data workloads through architecture redesign and pipeline optimization.
Technologies & Frameworks:
NLPTransformersBERTSparkKafkaEMR ServerlessApache IcebergMWAA
Senior Engineer
Walmart Global Tech India·Bengaluru, India
Jul 2019 – Nov 2022 (3 yrs 5 mos)
Primary Impact: Scaled ad-tech data platform to handle peak holiday traffic surges with zero downtime and strict sub-second SLAs.
Core Responsibilities:
Architected and scaled petabyte-scale data and ML platforms supporting Sam's Club Advertising and Sponsored Products across real-time analytics, decisioning, and streaming workloads.
Built production ML data pipelines covering feature engineering, model training workflows, inference integration, evaluation, and monitoring.
Optimized large-scale Spark jobs, resilient orchestration, and multi-tenant data pipelines.
Technologies & Frameworks:
SparkKafkaAirflowCloud NativeML Data PipelinesCassandra
Consultant / Senior Professional, S&IT
British Telecom (BT)·Ipswich, UK & Bengaluru, India
Mar 2016 – Jul 2019 (3 yrs 5 mos)
Primary Impact: Migrated 100+ legacy reporting workloads into unified Spark lakehouse, saving millions in licensing.
Core Responsibilities:
Modernized large-scale telecom data platforms using Cloudera, Spark, Scala, and data lake architectures, boosting analytical throughput.
Led Hadoop-as-a-Service migration initiatives transitioning legacy RDBMS workloads to distributed big-data platforms.
Built BT's Net Promoter Score (NPS) analytics platform, designing scalable pipelines to support customer-experience decisions.
Technologies & Frameworks:
ClouderaHadoopSparkScalaPythonData Lake
Senior Engineer
Honeywell Technology Solutions·Bengaluru, India
Oct 2012 – Mar 2016 (3 yrs 6 mos)
Primary Impact: Boosted batch ETL pipeline throughput by 4x across mission-critical aerospace monitoring data.
Core Responsibilities:
Built and optimized large-scale data integration and ETL pipelines across distributed systems.
Developed Hive and Python workflows transforming data from heterogeneous aerospace and industrial systems.
Technologies & Frameworks:
HivePythonETL/ELTDistributed SystemsSQL
Software Engineer
Tecnotree Corporation·Bengaluru, India
Jun 2012 – Oct 2012 (5 mos)
Primary Impact: Delivered carrier-grade billing ingestion workflows.
Core Responsibilities:
Developed data ingestion solutions using Oracle and Linux.
Technologies & Frameworks:
OracleLinuxData Ingestion Pipelines
Project Engineer
ZTE Corporation·Mumbai, India
Jun 2009 – Mar 2011 (1 yr 10 mos)
Primary Impact: Automated manual daily reconciliation, eliminating operational errors.
Core Responsibilities:
Designed and developed enterprise ETL solutions translating business requirements into scalable workflows.
Built Unix shell automations for ingestion, validation, and batch processing.
Technologies & Frameworks:
SQLRelational DatabasesShell ScriptingETL