
Mohammad Shuphiyan
@mohammadshuphiyan
I build cloud-native enterprise platforms and AI-enabled engineering systems.
What I'm looking for
At Boeing, I lead architecture and development for enterprise-scale engineering platforms supporting aerospace manufacturing and digital transformation. I modernize legacy systems with Java, Spring Boot, AWS, Kubernetes, event-driven microservices, and AI-enabled engineering approaches.
Previously, I led retail platform modernization at 7-Eleven, healthcare interoperability at GE Healthcare, and banking, risk, data engineering, and machine learning solutions across Credit Suisse, Wells Fargo, JPMorgan Chase, ANZ, and Deutsche Bank. Across 16+ years, I’ve delivered resilient platforms, mentored engineering teams, and explored enterprise AI, LLMs, RAG, agentic workflows, and quantum computing proof-of-concepts.
Experience
Work history, roles, and key accomplishments
Advanced Technologist
Boeing India Private Limited
Apr 2024 - Present (2 years 5 months)
Leading architecture and development of enterprise-scale engineering platforms for aerospace manufacturing and engineering. Driving modernization of legacy systems and establishing cloud-native platforms for mission-critical operations.
Staff Engineer
7-Eleven Global Solution Center
Sep 2021 - Apr 2024 (2 years 7 months)
Led architecture, modernization, and delivery of enterprise retail platforms for promotions, logistics, and supply chain. Architected cloud-native microservices and event-driven systems for global retail operations.
Led engineering for healthcare integration platforms enabling interoperability between medical devices and EMR systems. Delivered cloud-native solutions during the COVID-19 pandemic, supporting hospitals across multiple countries.
Senior Developer
Credit Suisse
Feb 2018 - Oct 2019 (1 year 8 months)
Contributed to design and modernization of enterprise risk management and counterparty credit assessment platforms. Modernized legacy applications and established engineering best practices for global investment banking.
Designed and developed enterprise data engineering and machine learning solutions for retail banking analytics. Built Hadoop-based data lakes, predictive analytics, and business intelligence initiatives.
Developed enterprise financial platforms supporting securities lending, settlement optimization, and reconciliation. Contributed to mission-critical banking applications for high-volume financial transactions.
Developed enterprise banking applications for retail banking services, customer self-service, and digital banking modernization. Integrated secure authentication and user activity tracking for compliance.
Developed and enhanced enterprise trading applications for capital markets and Bloomberg integration. Modernized legacy trading systems and improved deployment mechanisms for global operations.
Education
Degrees, certifications, and relevant coursework
Mohammad hasn't added their education
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Tech stack
Software and tools used professionally
Snowflake
Apache Spark
Apache CXF
Kubernetes
Helm
Spring Cloud
Jenkins
React Native
Spring Data
PostgreSQL
MongoDB
Microsoft SQL Server
Cassandra
Oracle
Hadoop
Node.js
Spring Boot
Next.js
Spring Framework
Redis
Terraform
Quarkus
Backbone.js
React
jQuery
JavaScript
Python
Java
Kotlin
AWS Elastic Load Balancing ...
TensorFlow
PyTorch
H2O
Kafka
RabbitMQ
FastAPI
Grafana
Prometheus
OpenTelemetry
Hibernate
GraphQL
RSocket
Elasticsearch
Milvus
Spring Security
Redux
TypeScript
Docker
Airflow
SQL
Qdrant
LangChain
Ollama
CrewAI
LiteLLM
vLLM
OpenAI API
Google Gemini API
ClearML
Bash
AG Grid
pgvector
LangGraph
Spring AI
Java Swing
Apache Kafka
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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