Hi, I’m
SNEHA C
IT Analyst
Vadakkanthara
Summary
Dynamic AI-driven Systems Engineer with over 7 years of experience in the automotive industry, complemented by a Master’s in Automotive Electronics specializing in Advanced Driver Assistance Systems (ADAS). Strong passion and practical expertise in Machine Learning and Deep Learning techniques for enhancing intelligent vehicle systems. Proven track record in algorithm development for perception systems leveraging artificial intelligence, as well as off-board diagnostics and model-based development tailored for battery electric and hybrid electric vehicles. Highly proficient in Python, C/C++, CAPL, SDLC, and ISO 14229-1, consistently focused on applying innovative AI solutions to address real-world automotive challenges.
Overview
7
years of professional experience
1
Certification
Work History
TATA CONSULTANCY SERVICES
IT ANALYST
10.2018 - Current
Job overview
- GEN AI developer:
- Leading a GenAI-based automation project with a team of three, contributing to solution design and development.
- Hands-on experience working with GPT-4.1, Llama, and Gemma models.
- Practical understanding of Chain-of-Thought prompting and RAG techniques.
- ADAS Algorithm development engineer:
- Designed and implemented computer vision and deep learning-based lane detection algorithms using Python and OpenCV/TensorFlow, enhancing real-time performance for front camera ECUs in automotive ADAS applications.
- Implemented a pipeline of lane detection system, followed by classification, distance estimation and tracking of detected lanes.
- Collaborated with perception teams to define annotation standards and improve dataset accuracy for model training and evaluation.
- Designed and implemented Face recognition-based authentication system, using mediapipe algorithm for face detection and encoding matching for recognition purposes.
- Developed algorithms to remove the overlap in bounding boxes, and annotation overlay algorithm for various datasets.
- Simulation integration engineer:
- Led a high-performing Agile team of 12 members delivering simulation-based integrated software packages for propulsion systems of Battery electric vehicles and Hybrid electric vehicles.
- Facilitated Agile ceremonies including daily stand-ups, sprint planning, retrospectives, and backlog refinement.
- Coordinated closely with product owners, system engineers, and software architects to align development priorities with system integration goals.
- Ensured timely delivery of high-quality simulation tools by promoting collaboration, continuous improvement, and adherence to Scrum principles.
- Actively contributed to the implementation of features using MATLAB and Simulink, enabling accurate modeling, simulation, and code generation for propulsion system behavior.
- Contributed to the development and integration of multiple ECU simulation packages for hybrid and electric vehicles.
- Proficient in debugging and resolving issues within simulation-integrated ECU packages for hybrid and electric vehicles, ensuring early fault detection and system reliability.
- Diagnostic Subject Matter Expert:
- Strong working knowledge of UDS (ISO 14229) and CAN protocols.
- Developed CAPL scripts for validating diagnostic services and performing DTC code checks on Front camera ECU, enabling automated fault detection, UDS service testing, and robust diagnostic coverage using Vector CANoe tools.
- Assisted developers in debugging and root cause analysis of issues based on captured logs and aided in resolving bugs.
- Continuously interacted with the tier1 and tier2 suppliers and support for handling the obstacles encountered.
- Mentored and trained team members in automotive diagnostics, sharing expertise in UDS protocol, DTC analysis, and ECU communication to enhance team proficiency and ensure consistent diagnostic quality across projects.
- Performed quality analysis of validation on various ECUs in vehicles, including the analysis of project requirements, proposing test scenario redesigns for improved validation quality.
- Analyzed and assessed failures, conducting root cause analysis in collaboration with customers to identify potential threats at the vehicle level.
- Facilitated the kick-off and sign-off of component ECUs, streamlining collaboration between hardware, software, and validation teams to meet program goals.
- Provided expert support, troubleshooting complex technical problems for end-users in a timely manner.
Education
Amrita Vishwavidyapeetham
M.TECH from Automotive Electronics
04.2001
Calicut University
B.TECH from Electrical And Electronics Engineering
04.2001
University Overview
- Honours [2018]
Skills
Versioning Tool: PTC Integrity
undefinedCertification
Computer vision for deeplearning by NPTEL
PERSONAL DETAILS
- Age: 29
- Date of Birth: 1996-06-02
- Gender: Female
- Marital Status: Single
- Current location: Bangalore
Timeline
Computer vision for deeplearning by NPTEL
12-2022
IT ANALYST
TATA CONSULTANCY SERVICES
10.2018 - Current
Amrita Vishwavidyapeetham
M.TECH from Automotive Electronics
04.2001
Calicut University
B.TECH from Electrical And Electronics Engineering
04.2001