Kishan Raj
System Engineer (ADAS) | Generative AI & RAG Applications | Python Developer
- Role
- Assistant System Engineer at Tata Consultancy Services
- Location
- Pune District, MH, IN
- LinkedIn followers
- 500 followers
About Kishan Raj
I am a System Engineer working in the automotive ADAS domain, focused on model validation, MIL/SIL testing, and large-scale automation using MATLAB and Python. I specialize in building structured regression frameworks that improve reliability, efficiency, and system accuracy in safety-critical environments.Alongside my core engineering role, I actively design and develop Generative AI and LLM-based systems, including Retrieval-Augmented Generation (RAG) applications using LLaMA, vector search, and multi-format document processing pipelines. I enjoy building practical AI solutions that combine strong engineering fundamentals with modern intelligent systems.My work sits at the intersection of structured engineering discipline and emerging AI technologies — with a focus on scalability, accuracy, and real-world usability.Currently exploring opportunities where I can contribute to AI-driven innovation while leveraging my foundation in system validation and automation.
Experience
Assistant System Engineer
Oct 2024 — Present · Pune, IN
System Engineer | ADAS Validation & AI Automation• Performed MIL (Model-in-the-Loop) and SIL (Software-in-the-Loop) unit and functional testing of ADAS Simulink models, ensuring compliance with functional safety and validation standards.• Automated ADAS model validation by developing scalable regression test suites using MATLAB Simulink and MATLAB Test Manager, reducing manual testing cycles by 50% and improving defect detection efficiency.• Designed and implemented a Retrieval-Augmented Generation (RAG) chatbot to enable intelligent enterprise data querying, leveraging vector-based semantic search to enhance response relevance and reduce manual information retrieval effort.• Contributed to internal AI initiatives and hackathons by prototyping GenAI solutions, supporting architecture design, prompt engineering, and integration of LLM-powered workflows into enterprise use cases.
Education
Vidya Niketan
12, PCM
Sainik School
10, PCM
Bharati Vidyapeeth
Bachelor of Technology - BTech, Electronics and Telecommunications Engineering
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