Graduate Engineer - Performance Modeling
CurrentCoherent and non-coherent Interconnect IP performance model development
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Aditya Shenoy is listed as Performance Modeling @ ARM | TAMU '24 at Arm, based in College Station, Texas, United States. AeroLeads shows a matched LinkedIn profile for Aditya Shenoy.
Aditya Shenoy previously worked as Graduate Engineer - Performance Modeling at Arm and Student Assistant - Grader at Texas A&M University. Aditya Shenoy holds Master Of Science - Ms, Computer Engineering from Texas A&M University.
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Excellent working exposure in Performance analysis, Architectural Modeling, Kernel-level development, RTL micro-benchmarking and Low-level drivers with hands-on experience and coursework in Operating Systems, Parallel Computing and RTL microarchitecture.--> Programming/Scripting: C, C++, Python, Perl, Bash, Verilog HDL, SystemVerilog, Assembly Level Programming, Makefile--> Technologies: JIRA, GIT, Bitbucket, Perforce, Jenkins, Docker, Swarm, Fisheye, Crucible, Klocwork--> Operating Systems: Windows, Linux, FreeRTOS, MbedOS, Raspbian--> Tools: Synopsys Verdi, Cadence SimVision, Xilinx Vivado, ModelSim, Cadence Virtuoso, Cadence Xcelium, Visual Studio Code, Eclipse IDE, Code Composer Studio, Keil MicrovisionTo find out how I might contribute and enrich your organization, please contact me at - adityashenoy@tamu.edu
Listed skills include Hardware Architecture, Neural Networks, R, Git, and 43 others.
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Cambridge, Cambs, Gb
Coherent and non-coherent Interconnect IP performance model development
College Station, Tx, Us
Grader for ECEN676: Advanced Computer Architecture
Santa Clara, California, Us
• Register transfer level (RTL) performance analysis and microbenchmarking for the Infinity Fabric IP deployed on high-performance systems-on-chip (SOC) memory system designs • Supported C++ performance modeling efforts to maintain correlation with the RTL for CPU Server and Consumer Graphics design variants• Developed performance microbenchmarks for the Infinity Fabric IP, and debugged performance bottlenecks in RTL simulations at IP and SOC level• Theoretical analysis of memory system optimizations, design benchmarks to run in RTL simulations, and enhanced regression scripts to automate them• Debugged cases where benchmarks fail their performance metrics, identified design bottlenecks and proposed solutions
College Station, Tx, Us
Grader for ECEN325: Electronics
San Diego, Ca, Us
• Application software development and audio subsystem debugging on multi-core Bluetooth Low Energy (BLE) chipsets used in earbuds, headphones and source dongles.• Successfully integrated and delivered Adaptive Noise Cancellation (ANC), HQ Stereo Recording (SREC) and Low-latency Gaming Mode (GMAP) solutions on BLE platforms.• Implemented novel split-stereo and joint-stereo operating modes on existing LE audio framework, which accelerated the release of LE audio voice & music support for headphone applications.• Revamped conventional audio graph architecture and audio chain configurations to meet customer KPIs - End-to-end latency, Peak power consumption, Audio quality.• Resolved blocking issues relating to inter-subsystem communication in application, audio and bluetooth processors using proprietary python-based tools and coredump analysis.• Collaborated with project management and marketing team for weekly ADK releases, while supporting CI/CD and PQE teams with bug triage and development issues.
Bengaluru, Karnataka, In
• Devised embedded hardware architecture for processor-sensor interconnects in avionics and power subsystems for customized fixed-wing UAVs• Programmed flight control and data acquisition algorithms on an ARM Cortex-based on-board processor in smart micro gliders• Implemented Climb & Glide algorithm for extended flights in Solar UAVs using a custom ARM processor and PixHawk AutoPilot flight controller. The system evaluates flight parameters from sensor data and communicates with the master flight controller via MAVLink messaging framework.• Designed a Telemetry system (comprising of application software, firmware and hardware prototype) for In-house AutoPilot controller design via Radio Frequency, TCP/IP and UART communication• Composed python applications for live-position trackers and real-time status monitors in UAVs using Antenna Trackers and u-blox GPS receivers• Software driver and firmware development for RADARs, LiDARs, GPS-GNSS receivers and MEMS-based inertial sensors used in UAV swarming
Bengaluru, Karnataka, In
• Orchestrated the end-to-end avionics subsystem design, software development and validation of a dual-core Autopilot flight controller built on ARM Cortex-M processors• Optimized the application, middleware and hardware drivers in the newly composed software stack for Autopilot controller, which reduced the single-cycle operating latency by 200%• Developed HAL and low-level libraries for Data Acquisition, MPPT and BMS controllers in Solar UAV prototype.• Validation of Autopilot models through SIL/HIL simulations on X-Plane simulator using UDP, Windows Serial API and Socket programming.
Bangalore, Karnataka, In
• Software architecture design and embedded driver development for "Current Cards" - ECU bench-testing modules centered around dual-core microchip MCU• Developed peripheral driver library for digital signal micro-controller - I2C, SPI, UART, CAN, ADC, Non-volatile memory, Multi-core mailbox, PWM, Timers, Interrupts and GPIOs• Developed API library for temperature monitor, programmable DC supply, current controller and ECU testing interface
Delhi, New Delhi, In
Design and implementation of Serial Peripheral Interface (SPI) controller using Verilog HDL
Bangalore, Karnataka, In
• Introduced software-controlled model for automation of ECU bench-testing using MCUs and current/voltage sensors• Software function programming for function generators, current-level monitors and DC Voltage Supplies• Evaluation of reliability routines for automobile active safety features (ABS, ESP, TCS) in Bosch ECUs
Quick answers generated from the profile data available on this page.
Aditya Shenoy works for Arm.
Aditya Shenoy is listed as Performance Modeling @ ARM | TAMU '24 at Arm.
Aditya Shenoy is based in College Station, Texas, United States while working with Arm.
Aditya Shenoy has worked for Arm, Texas A&M University, Amd, Qualcomm, and Newspace Research And Technologies.
You can use AeroLeads to view verified contact signals for Aditya Shenoy at Arm, including work email, phone, and LinkedIn data when available.
Aditya Shenoy holds Master Of Science - Ms, Computer Engineering from Texas A&M University.
Aditya Shenoy is listed with skills including Hardware Architecture, Neural Networks, R, Git, Cadence Virtuoso, Skilled Multi Tasker, Digital Electronics, and Linux.
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