09/30/2026 updated

**** ******** ****
100 % available

Technology & AI Transformation Lead | AI/ML | Industrial Automation | AIoT | Cloud

Vadodara, India
Only remote
Master of Engineering - Industrial Informatics
Vadodara, India
Only remote
Master of Engineering - Industrial Informatics

Profile attachments

Jalay Shah CV.pdf

About me

Experienced in leading technology strategy, AI adoption, system integration, governance, and operational transformation initiatives. Strong background in Python, Azure, Generative AI, RAG, Agentic AI, IoT, data pipelines, ERP/ MES integration, and enterprise automation.

Office AutomationEnterprise Application IntegrationAzure AutomationMachine to Machine CommunicationInfrastructure Automation FrameworksDeployment AutomationAutomation Anywhere
AI/ML Engineering & Generative AI
Expertise in designing and implementing AI/ML systems including machine learning models, deep learning techniques (CNN, RNN), Generative AI, Agentic AI, RAG architectures, and LLM orchestration for industrial and enterprise environments.

Industrial Automation & AIoT
Strong background in AI of Things (AIoT), industrial automation using PLC, HMI, SCADA, edge device deployment, digital twin simulations, and predictive maintenance solutions integrated with SAP and MES ecosystems.

Cloud Infrastructure & Enterprise Architecture
Proficiency in architecting and managing cloud and infrastructure environments on Azure and AWS, including enterprise integrations, ERP/MES platforms (SAP, Odoo, ERPNext), cybersecurity governance, and scalable automation architectures.

Python, TensorFlow, PyTorch & OpenAI
Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI frameworks for building and deploying machine learning and AI solutions.

Data Engineering & Business Intelligence
Capability in data engineering, building data preprocessing and feature engineering pipelines, Power BI, and business intelligence solutions for real-time decision-making.

Workflow Automation & Intelligent Process Automation
Experience with workflow automation tools including n8n and intelligent process automation frameworks to optimize and streamline business operations.

ERP, SAP, MES & Enterprise Integrations
Skilled in designing and maintaining ERP/CRM integrations, ensuring data synchronization across IT and OT systems using SAP, MES, Odoo, and ERPNext platforms.

IT Governance & SOP Development
Establishment of enterprise governance frameworks, cybersecurity controls, standard operating procedures, and AI + ERP architecture standards to support compliance and organizational growth.

Computer Vision & Edge AI
Building computer vision pipelines using CNNs for real-time defect detection and deploying ML models on edge devices with tools such as Edge Impulse and Azure IoT.

Experience

Professional experience0 - 5 years
Freelancer since2025

Languages

EnglishNative speaker

Project history

Technology & AI Transformation Lead

BeanByte AI
Led technology strategy, enterprise architecture, and AI transformation initiatives. Designed and implemented 20+ business systems and workflows, delivering 12 AI driven automation initiatives within 6 months. Architected and managed 7+ cloud and infrastructure environments. Integrated 10+ enterprise platforms using Generative AI, Agentic AI, RAG architectures, and LLM orchestration. Established enterprise governance frameworks, cybersecurity controls, and SOPs. Acted as principal technology advisor for 6 key clients driving AI adoption and digital transformation roadmaps.

Artificial Intelligence of Things (AIoT) Engineer

Honeywell International Inc.
Designed and implemented machine learning models (Python, TensorFlow, Scikit-learn) for predictive maintenance and anomaly detection. Built a computer vision pipeline using CNNs for real-time defect detection, reducing false detections by 18%. Deployed ML models on edge devices enabling real-time decision-making with less than 200ms latency. Integrated AI driven analytics with SAP and MES ecosystems. Contributed to digital twin simulations for process validation and system optimization.

AI/ML Research - Student Assistant

University of Applied Sciences Emden/Leer
Applied deep learning techniques (CNN, RNN) for defect detection and equipment health monitoring, achieving over 90% accuracy. Built data preprocessing and feature engineering pipelines for real-time decision-making in industrial IoT environments. Implemented digital twin models for system integration and simulation of Industry 4.0 production lines. Collaborated on publications exploring intelligent process control and autonomous manufacturing systems.

Application Engineer

Krutam Technosolutions Private Limited
Engineered and optimized industrial automation solutions using PLC, HMI, and SCADA technologies. Developed control algorithms in MATLAB and Python to improve process efficiency and minimize downtime. Designed and maintained ERP/CRM integrations ensuring data synchronization across IT and OT systems. Implemented predictive maintenance strategies using sensor data and ML models. Enhanced system reliability, achieving a 15% reduction in process delays through optimized control architectures.

Contact form

Log in to get in touch

You need to be logged in to use the contact form.

Sign upLog in