Piyush Chand
Engineering Manager - Intelligent Software Platforms Ai Development & Analytics @Stellantis
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WORK HISTORY
Engineering Manager - Intelligent Software Platforms Ai Development & Analytics @Stellantis
Working closely with AI Engineers and Top Management to automate various requirement processes in Stellantis by using LLM (Large Language Models) and Prompt Engineering techniques.* Managing a highly skilled team of engineers that includes Data Engineers, Software Engineers and DevOps Engineers that are focused on ingesting high volume Vehicle Data from various vehicle sensors.* Aligning priorities with various stakeholders that leverage vehicle data to develop customer-centric solutions.* Working together with various teams to make sure that the data pipelines are functional at an operational level and incorporates new changes in an efficient and reliable manner.* Focused on delivering solutions based on various stakeholder requirements that are working together to bring user friendly/advance features to customers.* Working closely with various stakeholders to deliver customer-centric solutions to the ADAS platform with a prime focus on data management, data quality and scalability.
EDUCATION
DIT UNIVERSITY
B.Tech., Information & Technology
Frankfurt University of Applied Sciences
M.Eng., Information & Communication Technology
SKILLS
ABOUT PIYUSH CHAND
Experienced Tech Leader | Digital Transformation Advocate | Product & Data StrategistI’m a seasoned technology professional with 14 years of experience in building and designing innovative products and services that simplify complexity, drive efficiency, and empower users across multiple domains—including Banking, Auditing, Regulation Technology (RegTech), Healthcare, Cybersecurity, Telematics, Automotive, E-Mobility, and ADAS.Throughout my career, I’ve successfully led customer-centric, cross-functional technical projects from ideation to production, contributing significantly to enterprise-level digital transformation strategies. I take pride in my ability to bridge the gap between technical teams and business stakeholders, ensuring alignment, clarity, and a shared vision. My Technical Arsenal Includes:Cloud Platforms: AWS | GCP | AzureKey AWS Services: S3 | Lambda | EMR | SQS | SSMProgramming Languages: Java | Scala | PythonDatabases: PostgreSQL | MongoDB | InfluxDB | Aerospike | Redis | DynamoDBEvent Streaming & Messaging: Kafka | RabbitMQ | ZeroMQData Engineering: Databricks | Spark | Trino | Jupyter (GCP Workbench)DevOps Tools & Infrastructure as Code: Kubernetes | Terraform Observability: Prometheus | Grafana | Loki | AWS CloudwatchGenerative AI Tools: ChatGPT API | Audiocraft (Music Language Model)🧩 Core Competencies:Software Architecture (Microservices, Data Mesh)System Integration & Financial Data ManagementProject & Product Management (Scrum, Agile)Mentorship, Interviewing, and Developer OnboardingCode Review & Pair ProgrammingConsulting & Stakeholder ManagementFunctional and Object-Oriented ProgrammingBudget Planning and Estimation What Sets Me Apart:A strategic mindset focused on solving real-world challenges through technologyA collaborative leadership style that brings out the best in multidisciplinary teamsA future-focused approach, always exploring new technologies and tools to stay aheadI’m driven by the opportunity to work on impactful projects that contribute to innovation, sustainability, and societal growth. If you\'re passionate about building technology that makes a difference—let’s connect and explore how we can collaborate.
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