Executive Summary 💡

13+ years seasoned Engineering Leader specializing in scalable application and data platforms, ML/AI solutions, and high-performing team leadership. Delivered systems processing 50M+ records daily with 70% latency reduction. Expert in Software / Data Engineering, Cloud Migration, Microservice based Architectures, and Real-time Analytics across Salesforce, Apple, Qualcomm, IBM, PwC ecosystems.

Professional Experience 💼

Salesforce
Staff Engineering, Performance Engineering, Sales AI
Jul 2022 - Aug 2025
AWS • Spark • Kafka • Redis • Python • Go • Airflow • GenAI • LLM • Agentforce • NoSQL • GraphDB • S3 • Lambda • Docker • Kubernetes
  • Redesigned distributed microservice based ticketing system for Security Operations, reducing response time by 45%
  • Significant contribution to distributed data pipelines achieving 70% latency reduction with Spark/EKS/Kafka
  • Enhanced application/database performance by 20-40% through GenAI integration and Agentforce prompt engineering
  • Worked on CI/CD automation (EKS/Terraform/Jenkins), cutting deployment time by 70%
  • Contributed on Agentforce performance engineering & achieved 25-40% improvement
Apple Inc.
Technical Lead, Module Owner
Jun 2020 - Jul 2022
Apple Cloud • AWS • Python • Django • Kafka • Redis • PySpark • Snowflake • Oracle • Docker • Kubernetes • EMR • EC2 • S3
  • Led 12-member team in Supply-Chain CPT projects, key player of GA application, awarded as key contributor
  • Architected backend pipeline processing 100GB+ daily from Oracle DW to AWS, with distributed architecture
  • Redesigned high data intensive application on AWS to process 10M+ transactions/day with 99.9% uptime
  • Built Kafka queues handling 1M+ messages/hour for near real-time data-streaming in Apple Supply-Chain ecosystem
  • Migrated on-prem data-warehouses to AWS, reducing storage/operations costs by 50%
  • Transformed monolith to microservices, improving scalability by 300%
Qualcomm
Senior ML, Distributed System Engineer
Nov 2017 - May 2020
Machine Learning • NLP • Big-Data • Spark • Python • HIVE • MapR DB • Kafka • TensorFlow • Keras • Snowflake
  • Developed ML models for chipset forecasting with 92% accuracy using Algorithms like XGBoost, LSTM, NuralNetwork etc.
  • Built GAN-based models, improving image quality by 35% captured by Camera powered by Snapdragon chipset
  • Optimized CPU/RAM usage utilization by 25% using ML algorithms, running on Snapdragon chipsets
  • Built Big-Data pipelines processing 2TB+ daily in Hadoop ecosystem using Spark / MapR DB
  • Won Innovation Maestro, Super-Qualstar, and multiple Qualstars; HaQkathon Winner, presented prototype to CxO leadership
IBM
Advisory Analyst, Azure Cloud SME
Dec 2016 - Nov 2017
Azure Cloud • Azure Data Factory • Azure Service Bus • WCF • MongoDB • C# • Java
  • Led 6-member team, Azure migration for DB and Application completed weeks early from deadline
  • Migrated 500GB+ data with 99.9% integrity/accuracy, using Azure Data Factory, Service Bus, WCF, MongoDB, C#
PwC
Senior Developer / Consultant
Oct 2014 - Dec 2016
Data Warehouse • SQL-Server / Oracle • SSIS • ETL • C# • ASP.NET • JavaScript • MongoDB • Python • jQuery • Bootstrap • CSS
  • Built predictive search from billion+ rows in 2-5 seconds [Tuned DB highly; Used Python, Async jQuery, Bootstrap]
  • Performance tuned SSIS to load 50M rows within SLA
  • Won STAR Performer & multiple client appreciation awards
Cognizant
Application Developer
Apr 2012 - Oct 2014
SQL Server • SSIS • C# • ADO.NET • JavaScript • Angular • Java
  • Managed 24x7 production support for MetLife bulk data processing, and application support
  • Automated processes reducing manual effort by 60%