Shubham Mallick

Technical Lead | Applied AI | Data & Application Architect | GTM Strategy

Professional Summary

Technical leader with 14+ years shipping production AI and data systems - increasingly in partner-facing roles where the problem is still half-formed. Currently driving AI-first work at Atlassian, sitting with product, sales, and engineering to turn fuzzy AI ideas into scoped builds teams can actually run. Hands-on with GenAI, agents, Python, SQL, evaluation pipelines, and cloud infrastructure; comfortable with researchers, founders, and enterprise stakeholders. I like owning the full arc - discovery through deployment - and helping partners move past one-off experiments into reliable workflows.

Professional Experience

Atlassian
Sep 2025 - Present
Lead Engineering, AI Partner Delivery, GTM Strategy
  • Leading the AI-first partner effort - working with product and sales to scope the highest-value use cases and get teams building on the platform
  • Built the data and analytics layer (Databricks/Spark, SQL, Neo4j) that shows what's actually driving adoption, so we can invest behind the programs that work
  • Stood up AI-ready infrastructure enabling GenAI deployment, ML evaluation pipelines, and reliable delivery
  • Sit close to product and data consumers, carrying their feedback back into priorities and the roadmap
Salesforce
Jul 2022 - Aug 2025
Staff Engineering, Agentforce & Sales AI
  • Drove GenAI/Agentforce adoption into the Sales AI stack - shipping multi-turn agent workflows with product and eng for ~25-40% performance gains
  • Architected the cloud-native platform behind it (Spark/EKS/Kafka on AWS), cutting latency ~70%
  • Built self-service tooling and IaC automation (Terraform/Jenkins) that cut deployment time ~50% and let other teams move on their own
  • Set up observability & evaluation hooks (Grafana/Splunk) to see problems early and iterate off real numbers
Apple Inc.
Jun 2020 - Jul 2022
Technical Lead, Module Owner
  • Led 12-member engineering team [DC-CPT], building an enterprise data platform [GA] on AWS - 100GB+ daily, 99.9% SLA, full lifecycle ownership
  • Built real-time data pipelines (Kafka) handling 1M+ msgs/hour with data quality checks, lineage, and curation workflows
  • Led cloud migration (on-prem ➜ AWS) with Data Mesh principles, reducing costs ~30%, & improving scalability ~200%
  • Designed data taxonomies, governance standards for discovery, quality & compliance across supply-chain domain
  • Built data APIs with semantic models and metadata management serving 10+ internal analytics teams
Qualcomm
Nov 2017 - May 2020
Senior ML, Distributed System Engineer
  • Architected large-scale distributed platform processing 20TB+ daily with Spark/HIVE/MapR-DB in Hadoop ecosystem
  • Built AI/ML training and evaluation pipelines hitting 92% model accuracy; cut infrastructure resource usage 25%
  • Implemented data quality & monitoring frameworks keeping training datasets reliable across analytics workloads
  • Won Innovation Maestro, HaQkathon; presented the innovative solutions to CxO leadership
  • Designed orchestration workflows (Airflow) & data transformation frameworks improving pipeline efficiency by 35%
  • Partnered with engineering & analytics teams enabling developer self-service access to 15+ data products
IBM
Dec 2016 - Nov 2017
Advisory Analyst, Azure Cloud SME
  • Led 6-member team partnering across multi-cloud Azure data platform, delivered ahead of schedule
  • Migrated 500GB+ data with 99.9% integrity using Azure Data Factory, Service Bus; established data quality & SLAs
  • Implemented IaC automation and compliance frameworks meeting regulatory requirements across geographic regions
PwC
Oct 2014 - Dec 2016
Senior Developer / Consultant
  • Architected Business-Intelligence platform with OLTP/OLAP optimizations which helps in querying from billion+ rows in ~2-5 sec; delivered dashboards for business analytics teams
  • Built scalable ETL pipelines processing ~50M+ rows daily
  • Implemented logical data modeling & schema versioning improving data consistency by ~40%, across analytics workloads
  • Partnered with business stakeholders across Sales, Finance enabling data-driven decision-making
  • Won STAR Performer for data platform excellence & multiple client appreciation awards
Cognizant
Apr 2012 - Oct 2014
Application Developer
  • Owned 24x7 production reliability for MetLife backend processing and application support
  • Automated processes reducing manual effort by 60%, across 5+ applications