Shruti Sushant Hulyal
@shrutisushanthulyal
Senior Applied AI/ML Engineer blending ML, CV, NLP and automotive embedded systems expertise.
What I'm looking for
I am a Senior Applied AI/ML Engineer with 9+ years of experience spanning automotive embedded systems, software validation, and large-scale engineering environments. I design and deploy end-to-end ML solutions in Python, leveraging Deep Learning, NLP, and Computer Vision to translate complex engineering problems into scalable, business-impacting outcomes.
I have led validation and integration efforts across Powertrain and ECU systems, built automated HIL test benches and CI pipelines, and delivered measurable efficiency gains (20–35%) and high system availability. I mentor teams, drive cross-functional coordination, and build production-ready ML prototypes—achieving results like 92% accuracy on a helmet-detection model and functional RAG-based healthcare chatbot prototypes.
Experience
Work history, roles, and key accomplishments
Technical Manager
KPIT Technologies
Mar 2024 - Sep 2024 (6 months)
Developed ECU wiring harness and electrical schematics mapping 150+ ECU pins for Powertrain systems and commissioned VT HIL benches, achieving over 95% test system availability; built CANoe automation frameworks that reduced test cycle time by 25–35%.
Senior Engineer
Mercedes Benz R&D India
Sep 2021 - Feb 2024 (2 years 5 months)
Led functional validation of Dual Clutch Transmission in SiL, executing 150+ test scenarios and achieving 80–90% decision coverage in MATLAB/Simulink; improved validation efficiency by 20–30% and reduced defect leakage by 15–20%.
Senior Engineer
Tata Elxsi
Jun 2020 - Sep 2021 (1 year 3 months)
Built Vector VT HIL test environments and 10+ CAPL scripts, implemented Jenkins-based continuous testing to reduce manual effort by 40–50%, and ensured 100% requirements traceability using IBM DOORS supporting ASPICE readiness.
Senior Product Engineer
Wipro
Feb 2019 - May 2020 (1 year 3 months)
Conducted system-level testing of EMS/DCU software executing 200+ test cases, identified 15–20 critical defects per release, commissioned LABCAR HIL benches with 95% uptime, and improved communication test coverage by 30%.
Senior Software Engineer
Robert Bosch
Aug 2013 - Nov 2017 (4 years 3 months)
Managed ECU software integrations and Jenkins automation reducing build time by 30–40%, developed embedded features with zero critical post-release defects, and improved code quality via QAC/MISRA checks by 25–30%.
Applied AI/ML Engineer
Independent Projects
Developed multiple ML/AI prototypes including a VGG16-based helmet detection model (92% test accuracy), RAG-based medical assistant chatbot, and predictive maintenance models for wind turbines to reduce failure risk and improve maintenance planning.
Education
Degrees, certifications, and relevant coursework
Great Lakes Institute of Management
Postgraduate Program in Artificial Intelligence & Machine Learning, Artificial Intelligence & Machine Learning
2025 -
Grade: 4.09/5
Postgraduate Program in Artificial Intelligence & Machine Learning with a GPA of 4.09/5, ongoing since January 2025.
B V Bhoomaraddi College of Engineering & Technology
Bachelor of Engineering, Electronics & Communication
2009 - 2013
Grade: 4.02/5
Bachelor of Engineering in Electronics & Communication completed with a GPA of 4.02/5 from June 2009 to March 2013.
Availability
Location
Authorized to work in
Job categories
Skills
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