Summary
Overview
Work History
Education
Skills
Timeline
Generic
Joans Vimal Justin

Joans Vimal Justin

San Jose,USA

Summary

Senior AI & Data Engineering Leader with 19+ years of experience architecting large-scale data and AI/ML solutions across semiconductor, high-tech manufacturing, and global supply chain operations. Expertise in predictive maintenance, yield optimization, and defect analytics using Snowflake, Python, and modern ML pipelines. Proven success leading cross-functional teams of data engineers and ML scientists to deliver AI platforms for failure rate forecasting, defect detection, and process automation. Collaborates closely with chip design and manufacturing teams to translate data into strategic decisions that improve reliability, yield, and cost efficiency.

Overview

20
20
years of professional experience

Work History

Senior Data Architect & Technical Lead (Client: Cisco Systems)

Genpact LLC
01.2019 - Current
  • Lead AI/Data Engineering Architect driving ML-based failure analytics and predictive quality platforms across Cisco’s hardware manufacturing and reliability operations.
  • Architected AI platform for predictive failure analytics and defect detection using Python and Snowflake; improved early defect discovery and field reliability forecasting.
  • Built enterprise ML pipelines and feature store for telemetry, diagnostic, and RMA data; enabled model deployment and retraining at scale.
  • Developed ML models for time-to-failure prediction using Random Forest, and XGBoost, along with anomaly detection (Isolation Forest, One-Class SVM).
  • Automated AFR and defect rate analytics with explainability using SHAP; enhanced root-cause visibility across products and suppliers.
  • Implemented telemetry-based time-series monitoring and anomaly detection framework for real-time product health tracking.
  • Led MLOps strategy for model deployment and continuous integration; managed a 10-member AI team of engineers and scientists.
  • Partnered with hardware engineering and manufacturing teams to operationalize AI insights for yield improvement and risk reduction.
  • Tech Stack: Python, Snowflake, AWS Lambda, SQL, MLOps Frameworks, Tableau

Lead Data Architect (Client: Veritas Technologies)

Genpact LLC
01.2012 - 01.2019
  • Led architecture optimization for supply chain transformation, demand forecasting, and service operations automation across global enterprise environments.
  • Architected Inventory Optimizer platform to automate spare parts stocking and service planning using predictive modeling and optimization algorithms.
  • Developed forecasting models (ARIMA, Croston’s) to predict slow and intermittent demand patterns across 18 global DCs.
  • Designed optimization engine using Mixed-Integer Linear Programming (MILP) and cost-risk simulation modeling; reduced excess inventory by 21% and working capital by $18M.
  • Productized AI services by deploying model pipelines with automated retraining and accuracy monitoring.
  • Designed Install Base analytics platform integrating product lifecycle and field failure data; applied clustering (K-Means) to segment customer service behavior and renewal risk.
  • Delivered $1M+ annual recurring revenue through platform expansion and global adoption.
  • Tech Stack: Python, SQL Server, Java, OR-Tools, PuLP, ARIMA, Time Series Forecasting, Model Deployment, ETL Pipelines, Tableau

Data Engineering Lead (Client: Penske Logistics)

Genpact LLC
01.2010 - 01.2012
  • Led deployment of enterprise inventory planning and supply chain optimization platform for North American logistics operations.
  • Designed data architecture and ETL pipelines to integrate multi-source demand, ordering, and warehouse data for predictive inventory planning.
  • Implemented forecast automation engine using statistical demand classification and simulation-based stocking policies.
  • Partnered with supply chain engineering to reduce stockouts and expedite costs by 14%.
  • Mentored junior engineers and contributed to platform scalability and roadmap design.
  • Tech Stack: SQL, Java, ETL Pipelines, Forecasting Models, Supply Chain Analytics

Product Engineering Lead (Inventory Optimization Platform)

Genpact LLC
01.2008 - 01.2010
  • Core contributor and engineering lead for the design and development of Genpact’s proprietary Inventory Optimizer product, later deployed to major clients.
  • Led data architecture and algorithm design for demand classification, forecasting, and replenishment modules.
  • Developed modular data pipelines and simulation framework for testing inventory policies.
  • Collaborated with product managers and supply chain SMEs to define roadmap and architecture.
  • Tech Stack: Java, SQL Server, Simulation Modeling, Forecasting Algorithms, Product Architecture

Software Engineer (Client: GE Plastics)

Genpact
01.2006 - 01.2008
  • Developed data-driven web applications and reporting systems for product lifecycle and manufacturing data visibility.
  • Built manufacturing data integration workflows and automated reporting systems.
  • Served as project lead for a 5-member development team, ensuring high-quality delivery.
  • Tech Stack: Java, SQL, Data Integration, PLM Data, Enterprise Applications

Education

Master of Computer Applications (MCA) -

Bishop Heber College, Bharathidasan University

Bachelor of Science - Computer Science

St. Joseph’s College, Bharathidasan University

Skills

  • AI & Machine Learning: Predictive Analytics
  • Time-Series Modeling
  • Survival Analysis
  • Classification/Regression
  • Anomaly Detection
  • Clustering
  • Optimization Modeling
  • Semiconductor AI & Manufacturing Analytics: Yield Optimization
  • Defect Classification
  • Test Data Analytics
  • Reliability Modeling
  • Predictive Maintenance
  • SPC Analytics
  • Telemetry Signal Analysis
  • Failure Rate Modeling
  • MLOps & AI Engineering: ML Pipelines
  • Feature Stores
  • CI/CD for ML
  • Model Retraining
  • Drift Monitoring
  • Deployment (Batch Real-Time)
  • Experiment Tracking
  • Data Engineering & Architecture: Data Warehousing
  • ETL/ELT
  • Real-Time Processing
  • Metadata Management
  • Governance
  • Gen AI & Applied LLMs: LLM Integration
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases
  • LangChain
  • Cloud & Programming: Snowflake
  • AWS (Lambda, S3)
  • Python
  • SQL
  • Java
  • Git
  • Tableau
  • Power BI

Timeline

Senior Data Architect & Technical Lead (Client: Cisco Systems)

Genpact LLC
01.2019 - Current

Lead Data Architect (Client: Veritas Technologies)

Genpact LLC
01.2012 - 01.2019

Data Engineering Lead (Client: Penske Logistics)

Genpact LLC
01.2010 - 01.2012

Product Engineering Lead (Inventory Optimization Platform)

Genpact LLC
01.2008 - 01.2010

Software Engineer (Client: GE Plastics)

Genpact
01.2006 - 01.2008

Bachelor of Science - Computer Science

St. Joseph’s College, Bharathidasan University

Master of Computer Applications (MCA) -

Bishop Heber College, Bharathidasan University
Joans Vimal Justin