# Srijesh Sudarsanan > ML Compiler Engineer at Qualcomm Location: Waltham, Massachusetts, United States Profile: https://flows.cv/srijesh Passionate about resource constrained computing, HW-SW co-design, signal processing and machine learning at the edge "From knowledge, humility" ## Work Experience ### Staff Machine Learning Compiler Engineer @ Qualcomm Jan 2025 – Present ### Senior Machine Learning Compiler Engineer @ Qualcomm Jan 2024 – Jan 2025 | Boxborough, Massachusetts, United States ### Senior Modem Engineer @ Qualcomm Jan 2021 – Jan 2024 | Boxborough, Massachusetts, United States ### Modem Engineer @ Qualcomm Jan 2019 – Jan 2021 | Boxborough, Massachusetts, United States ### Multicore DSP Engineer @ Collision Communications Jan 2018 – Jan 2019 | Nashua, New Hampshire, United States Adapting and improving statistical estimation and equalization algorithms: • Successfully designed the software architecture and implemented feature expansions to the fixed-point receiver firmware • Adapted channel estimation, equalization blocks to the product requirements and implemented them using SIMD intrinsics • Iteratively optimized the implementation using compiler feedback and analysis of software instruction pipelining • Performed end-to-end regression testing and validation of outputs against a fixed-point MATLAB simulation Linear least-squares solver for dynamically sub-sampled inputs: • Researched and prototyped an algorithm to solve linear systems which are column-subsampled (selection of dimensions) at each iteration using rank-1 updates by Givens' rotations. Documented the theoretical approach and algorithmic considerations Memory optimizations and cache profiling on multicore DSP: • Tabulated the memory requirements of functional blocks in the code base and recommended a safe reuse of buffers based on first access, last reference and restrictions on contents. Developed and tested ADTs to represent the reusable blocks • Profiled the overhead (in clock cycles) of functions to perform cache operations (write-back and invalidation) on L1 and L2 caches and documented comparative advantages of each for specific use cases ### AI Engineering Intern @ Reality AI Jan 2017 – Jan 2018 | Columbia, Maryland • Performed extensive profiling of DSP arithmetic (ARM CMSIS libraries) on Cortex-M processors and implemented SVM classifiers for sensor data on Cortex M3 (Bosch XDK) and M4 (STM32) platforms • Built a robust PCM audio data classifier on the Samsung ARTIK platform (Cortex A53). The module handles audio acquisition, pre-processing, spectral feature-extraction, detection, logging results and periodic reporting of results to an MQTT broker or a HTTP client. • Designed and developed the “RealityAI Starter Kit”, a user-friendly embedded device that logs data to SD card from various sensors with file format and data parameters specified by a configurable .ini file • Automated test sequences to monitor and log memory and processor usage on Linux based servers ### Student Leader, Automation and Power Systems R&D, Solar Decathlon 2017 @ University of Maryland Jan 2016 – Jan 2017 | College Park, Maryland Project leader of a multidisciplinary engineering team in charge of ideation, design and implementation of PV micro grid components ranging from microinverters and switchgear to wireless monitoring networks, Water filtration and reuse, Living systems, HVAC and energy management. The ultimate goal of this project is to realize operational solar-powered houses that are cost effective, net neutral and adaptable to any community, anywhere. ### Engineering Intern @ Dell International Services Pvt. Ltd. Jan 2015 – Jan 2015 | Chennai Area, India Conceptualized an automatic pick and drop embedded system for efficient packaging of peripherals and reducing labor costs for the same. Submitted the required SDLC implementation (Arduino controlled Servo motor system). Exposed to Lean 6 sigma methodologies, Kaizen programs, Inventory Management and Industrial Automation. ### Engineering Intern @ Bharat Electronics Jan 2014 – Jan 2014 | Chennai Area, India Shadowed engineers working on Defence Sector applications from design, prototype testing to manufacturing and performance testing stages. Exposed to RADAR and Navigation systems, Control units for tanks such as the T70, T90 and Naval apparatus such as ship mounted automatic lock and fire systems. ## Education ### Master’s Degree in Telecommunications Engineering University of Maryland ### Bachelor’s Degree in Electrical and Electronics Engineering Vellore Institute of Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/srijesh-sudarsanan --- Source: https://flows.cv/srijesh JSON Resume: https://flows.cv/srijesh/resume.json Last updated: 2026-03-31