Swapnil Trambake

About Swapnil Trambake

I am an Embedded Systems and Connectivity Architect with 16+ years of experience designing and owning vehicle and machine connectivity platforms, primarily in precision agriculture and off-highway domain. In my current role as Manager / Solutions Architect, I lead Ethernet adoption, embedded connectivity stacks, high-definition machine data logging, diagnostics, and telematics architectures across controllers and in-cab systems.Alongside embedded platform leadership, I am actively involved in AI adoption and transformation initiatives focused on improving engineering productivity and SDLC efficiency. As part of a department-wide working group, I contribute to and drive practical adoption of AI across selected phases of the development lifecycle, including AI-assisted requirement generation, test case and test script automation, development workflow acceleration, and governance-driven rollout of AI tools using a combination of cloud-based LLM ad fine-tuned SLMs.On the product side, I contribute to applied AI initiatives for embedded and in-cab products, working with cross-functional teams to explore feasible AI deployment options under real-world constraints. This includes evaluating classical machine learning, deep learning, and LLM/SLM-based approaches across cloud, edge, and embedded environments, with a strong focus on latency, data security, reliability, and hardware limitations.I operate at the intersection of embedded systems, connectivity, and applied AI, helping translate complex engineering and business problems into scalable architectures and adoption strategies. My interests lie in responsible, enterprise-scale AI adoption that delivers measurable improvements in engineering efficiency, system observability, and intelligent operator experiences.

Experience

1. Manager Solutions Architect Embedded Connectivity & Platforms

   John Deere

   Aug 2022 — Present

   Embedded Connectivity & Platform Architecture- Own and evolve end-to-end vehicle and machine connectivity architectures across distributed embedded platforms- Lead Ethernet adoption and next-generation embedded connectivity stacks, enabling high-bandwidth and reliable communication across ECUs and in-cab systems- Defined secure embedded communication frameworks that extend cloud connectivity reliably to the lowest Ethernet-enabled nodes- Architected high-definition machine data logging pipelines, enabling efficient high-frequency (1–5 Hz) telemetry collection under real-time, memory, and performance constraints- Drive embedded-side data aggregation, serialization, and compression prior to cloud ingestion, requiring deep system-level optimization- Initiated and contributed to the Service-Oriented Architecture (SoA) adoption roadmap, defining service boundaries and phased migration strategies aligned with future platform evolution- Led architecture for diagnostics and telematics subsystems, improving system observability, fault isolation, and serviceability.AI Adoption & Engineering Productivity- Actively involved in AI adoption initiatives for the embedded department, focused on improving engineering productivity and SDLC efficiency- Contributed to and drove rollout of AI-assisted engineering capabilities, including requirements generation, test case creation, and automated test script generation- Driving additional AI-enabled SDLC automation initiatives in progress, such as unit test generation and developer workflow acceleration.Applied AI in Embedded & In-Cab Products- Contribute to applied AI initiative, shaping architectural foundations for on-vehicle intelligence- Support early-stage use cases including machine anomaly detection and intelligent in-cab assistance etc- Explore hardware-aware AI deployment options across cloud, edge, and embedded environments, balancing latency, data security, reliability, and compute constraints.

Education

• SunBeam Institute of Information Technology, Pune-Karad

  Diploma in Advanced Computing, Computer Science

• Savitribai Phule Pune University

  Bachelor of Engineering (B.E.), Information Technology

  2003 — 2008

• Savitribai Phule Pune University

  Bachelor of Engineering - BE, Information

• Birla Institute of Technology and Science, Pilani

  Master of Technology - MTech, Artificial Intelligence & Machine Learning

Skills

• Oop
• C
• Infotainment
• C++
• Agile Methodologies
• Requirements Analysis
• Embedded Software
• Unix
• Automotive Infotainment
• Software Development
• Linux