Rishabh Nanda

Intern

Bengaluru, Karnataka, India2 yrs 5 mos experience

Key Highlights

Developed advanced embedded systems for safety-critical applications.
Led student committees to enhance academic activities.
Designed innovative solutions for railway signaling systems.

Stackforce AI infers this person is a skilled engineer in Embedded Systems and Transportation technology.

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Skills

Core Skills

Embedded SoftwareC (programming Language)Real-time Operating Systems (rtos)LeadershipTeam LeadershipAnalytical SkillsFinanceMatlab

Other Skills

Attention to DetailC++CST Microwave StudioCanvaCorporate FinanceCross-functional Team LeadershipCurtiss Wright BoardsEmbedded DevicesFigma (Software)Financial AccountingFinancial Data AnalysisFinancial ModelingGoogle BigQueryMachine LearningMicrocontrollers

Experience

Csir - national aerospace laboratories (nal)

Summer Research Intern

May 2025 – Jul 2025 · 2 mos · Bengaluru, Karnataka, India · On-site

Designed and implemented a dual-core Supervisor-Worker system on Raspberry Pi 4B using C with socket
communication and core affinity.
Designed and simulated a multi-core safety-critical system in RTOS with FIFO scheduling and core-level task
partitioning.
Implemented multi-core data fusion algorithm by image generation on VxWorks, targeting Curtis Wright VPX3 152 board.

Embedded SoftwareEmbedded DevicesC (Programming Language)VxWorksRaspberry PiReal-Time Operating Systems (RTOS)+3

Department of technical arts

Committee of Students for Academic Activities ( Head of Department)

Aug 2024 – May 2025 · 9 mos · Hyderabad, Telangana, India · On-site

Figma (Software)CanvaWireframingLeadershipTeam LeadershipCross-functional Team Leadership

Indian railways (ir)

Engineering Trainee

May 2024 – Jul 2024 · 2 mos · Bengaluru, Karnataka, India · On-site

Developed a working model of Electronic Interlocking and Signaling Systems, improving railway safety and operational efficiency.
Simulated point cross operations in railway tracks, demonstrating real-world signaling mechanisms for enhanced train routing.
Designed a high-precision transceiver model to monitor pneumatic brake pressure changes in modern train sets, enhancing safety protocols and reducing incident response time by 25% through early detection mechanisms.