Jinesh Maloo
EE Architecture Validation & Verification Engineer | Data Analyst
Utsunomiya,Tochigi
Summary
- Experienced EE Architecture Validation & Verification Engineer with 10 years of experience with Japanese Customer, including 6 years working onsite in Japan with Japanese customers (2019–Present).
- Skilled in delivering excellent customer service (CSAT > 4) and effectively communicating technical information.
- Expert in developing and executing EE architecture validation master plans, drafting and approving validation protocols (CAN, CANFD, Ethernet, DOIP), and leading teams to successful project completion.
- Strong in requirements development, test planning, and use case identification based on high-level customer requirements.
- Highly organized, dependable, and adaptable, with strong problem solving, decision-making, and communication skills, and a proactive approach to supporting team goals
Overview
10
10
years of professional experience
CSAT Scores Achievement
CSAT Score of 4 and above for Both Gen-4 Projects
Work History
Technical Delivery SME
KPIT Technologies
06.2024 - Current
Technical Delivery SME – Gen-4 E/E Architecture Validation Project & ECU HIL Validation project
- Serving as Onsite Technical Delivery SME for OEM Gen-4 E/E Architecture, acting as the primary customer interface and technical decision point.
- Leading end-to-end validation of Gen-4 E/E Architecture, covering system architecture, ECU interactions, network communication, and integration readiness.
- Driving customer requirement discussions and translating architectural expectations into clear validation scope, strategies, and execution plans.
- Creating and owning the master validation plan, decomposing complex architecture requirements into actionable tasks and milestones.
- Providing technical leadership to a 20-member offshore team, and 3 Onsite Members team ensuring alignment with customer expectations and delivery timelines.
- Leading ECU HIL validation project aligned with Gen-4 architecture, ensuring traceability between architecture requirements and test cases.
- Conducting quarterly technical workshops with the customer to review progress, address gaps, and drive architectural alignment.
- Proactively identifying architecture, integration, and validation risks, and driving mitigation in collaboration with OEM stakeholders.
Gateway ECU V&V Engineer & Data Analyst
Tata Consultancy Services, TCS
01.2016 - 06.2024
Have Managed two distinct teams:
1) Leading a team tasked with the validation and verification of vehicle Gateways, including the creation of Testing Master plans and test cases execution using software such as vTest Studio and Canoe.
2) Overseeing a team dedicated to implementing data mining and statistical machine learning solutions to address various business challenges in Vehicle Diagnostics for Automotive Customers based on new software define vehicle & EE architecture
- Collaborated closely with the Gateway V&V team to conduct thorough End-to-End validation and verification of Gateway functionalities on bench using Vector tools like Canoe , VT system Developed a Python tool to analyze each defined functionality, resulting in over 90% reduction in manual workload.
- Possesses expertise in automotive protocols such as CAN, CANFD, Ethernet, and DOIP. Proficient in configuring Canoe for ECU testing and utilizing Caple scripting to automate the validation process.
- Performed validation of Gateway according to UDS protocol by crafting test cases and sequences. Provided training and support to staff members on validation techniques, methods, and testing processes.
Skills
Technical Delivery & Customer Interface (Onsite SME)
Master Validation Planning & Execution
Vector & Techinca Tools (CANoe, CANalyzer, Andi – Architecture & Network Validation)
Strong analytical skills
SW Defined vehicles & EE architecture concept
Problem-solving abilities
Technical Workshops & Architecture Reviews
Strategic thinking
Effective communication
Education
Bachelor of Engineering - Electronics & Communication
Gujarat Technological University
India06.2015
HSC -
ICSE Board
Gujarat - India03.2011
Language Proficiency
English - Fluent
Accomplishments
Project-1 ( During Onsite Term from Nov 2019 - June-2024 )
Validation & verification of Gateway ECU
Client: NISSAN Motors and Renault
Description:
- To validate all the functionalities as per GW Requirements defined by Nissan for upcoming new Secure Gateway ECU on Test bench using Vector Hardware & SW devices
Responsibilities:
- Requirement analysis , Test plan creation,Test execution,issue reporting ,Test report documentation
- Performed Canoe simulation for functional testing and validation
- Diagnostics service test for GW by diagnostic tools like DDT
- Created automation tool to analyze .asc files saving 90% of time
- As an OEM interface reporting SW quality issues for vehicle milestone events & handling of Milestone Quality Judgment meetings
SW & HW Tools:
- Canoe
- Caple scripting
- DDT
- vTest Studio
- VN -5650 ,1600 , 8912A
- VT System
Projects During Offshore term (Jan-2016 to Nov 2019)
Project 2:
Early Detection of Large scale Failures
Client: NISSAN Japan
Description:
- Using Diagnostic Data Collected from Market By Automotive OEM Builded an Early failure detection algorithm using Statistical methods to Identify DTC with abnormal increase in occurrence rate and Indicate alert to respective ECU design team regarding High occurrence DTC
- Also Made an Algorithm using R script to Link Warranty Data with Diagnostic Data to perform Machine Learning task like Association Analysis to identify relationship between high occurrence DTC and failed parts in Vehicles and Provide alert for associated failed parts to ECU design team for further analysis
Responsibilities:
Working in development, and enhancement of
Algorithm as per needs
Tools: R language, SQL, Tableau, Microsoft excel
Project 3:
MFET Predictive Maintenance Use Case
Client: Mitsubishi-motors Japan
Description:
In This Use case of MFET predictive maintenance methodology we carried out task using machine learning algorithm and BI Tools following questions asked by customer1) What failure could occur within next 24 hours for my vehicle?2) Vehicle Usage Dash Board Using Tableau 3) Driver Behavior Dash Boards for Fleet Owners
Responsibilities:
Processing of MN Data, Building Data Aggregation and Feature
Engineering Mechanisms and Building ML Model on Processed
Data,Visualization Creation
Project 4:
Diagnostic Data Analysis
Client: Jaguar Land Rover (JLR) –UK
Description:
In this Project Customer came with Just there Diagnostic Data basically they want to do analysis on their Diagnostic Data to come up with insights which will be helpful to them
So we performed three task1) Preliminary Analysis Objective : Identify data set for analysis 2) Exploratory Data Analysis – Objective: Understand behavior of variables associated with DTCs
3) Machine Learning – Objective: Identify patterns that aid causal analysis for Particular DTCs
Responsibilities:
To Perform Processing of Data, Preliminary and
Exploratory analysis and Use Machine learning Techniques to Find
Insights from Data
Tools: Tableau ,R language, Python, Microsoft excel.
Certification
High CSAT Score of 4.73 ECU HIL Project