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Kumar Raj is listed as Sr. Staff Software Engineer at Qualcomm US at Qualcomm, based in San Diego, California, United States. AeroLeads shows a work email signal at qualcomm.com and a matched LinkedIn profile for Kumar Raj.
Kumar Raj previously worked as Senior Staff Software Engineer (Data Science) at Qualcomm and Staff Software Engineer (Data Science) at Qualcomm. Kumar Raj holds Master'S Degree, Computer Science from Arizona State University.
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AeroLeads found 1 current-domain work email signal for Kumar Raj. Compare company email patterns before reaching out.
I am a Software Engineer/Data Scientist with over 11 years of experience in building large scale machine learning platform and performing deep analytics in cloud infrastructure domain , I hold a master degree in computer science from Arizona State University with perfect 4/4 GPA and done my bachelors in technology from one of the topmost engineering institutes in India, Indian Institute of Technology, Kharagpur (IIT KGP), having an acceptance rate of only 0.7% at bachelors level.I have a granted patent (US Patent No.10,789,146) in "Time series forecasting of data center workloads" (applied by Hewlett Packard Enterprise).I am also a co-author of the paper presented in USENIX,HotStorage'16 on "Accelerating analytics workflow in low latency storage systems".I have a passion for coding and an extensive knowledge of Software designs, Deep Learning, Large Language models, Statistics, Predictive Analytics and Text Analytics using C++ and Python with a good knowledge of SQL and MapReduce for querying relational and NoSql databases. I am also pretty conversant with Algorithms and Data structures.Authorized to work in the US (Permanent Resident)Key Skills:1) Excellent coding skills in C++ and Python programming2) 10+ year of experience in large scale distributed system applications development3) Good understanding of Algorithms and Data Structures4) Highly knowledgeable in designing horizontally scalable systems using microservices, containerizations, pub-sub, worker-queue, message queues architectures5) Good knowledge of software design principles and testing6) Good understanding of software architecture designs7) Good knowledge of CI/CD pipelines8) Excellent working knowledge of database systems and designs9) Exposure to Java with intermediate level proficiency10) Working knowledge of front and backend web technologies11) Working knowledge of various machine learning algorithms and development of end-to-end ML systems development12) Working knowledge of Cloud technologies (GCP)13) Good command over Statistics and its implementation14) Rich experience in working with NLP problems and Deep learning algorithms15) Sound knowledge of various machine learning algorithms for classification and regression problems16) Knowledge of Scikit-learn, NLTK , NumPy and SciPy for machine learning and data preprocessing17) Proficient with querying in Microsoft SQL Server and MapReduce querying in MongoDB18) Understanding of NoSQL database like MongoDB and GraphDB (NEO4J)
Listed skills include R, Python, Machine Learning, Statistical Data Analysis, and 36 others.
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A career timeline built from the work history available for this profile.
San Diego, CA, US
1) Leading a project to port Deep Learning/LLM chat models for native execution on Qualcomm’s dedicated AI100 inference accelerator hardware.2) Enabling NVIDIA's Triton inference server to execute DL pipeline on Qualcomm's hardware.
San Diego, CA, US
ML based Coverage Optimization Design Verification Platform1) The platform won best presentation award in the Qualcomm’s GSOC Summit 20222) Used extensively across all Qualcomm DV teams3) 10-20x reduction in regression run time and compute resource usage with minimal to no loss of coverage.4) Played a leading role in end-to-end design and development of.
San Diego, CA, US
1) Compute environment efficiency optimization for Qualcomm's mega data centers2) Devlopment of memory and cpu prediction engine to accurately predict compute resource requirement by EDA jobs to avoid wastages and improve cluster utilization3) End to end development and integration of EDA jobs scheduling algorithm based on compute needs to assit LSF in.
Houston, Texas, US
Workload Analysis and Demand Prediction of Enterprise Data centres 1. Developed a resource utilization forecasting algorithm for HPE's Server virtualization software "Cloud Optimizer" 2. Implemented advanced additive time series forecasting model with auto pattern change point detection 3. Highly accurate in detecting workload patterns, achieved average.
New Delhi, New Delhi, IN
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Kumar Raj works for Qualcomm.
Kumar Raj is listed as Sr. Staff Software Engineer at Qualcomm US at Qualcomm.
AeroLeads has found 1 work email signal at @qualcomm.com for Kumar Raj at Qualcomm.
Kumar Raj is based in San Diego, California, United States while working with Qualcomm.
Kumar Raj has worked for Qualcomm, Hewlett-Packard, Data Science/Ml Based Startups In Hr Analytics And Cutomer Service Analytics, and Airports Authority Of India.
You can use AeroLeads to view verified contact signals for Kumar Raj at Qualcomm, including work email, phone, and LinkedIn data when available.
Kumar Raj holds Master'S Degree, Computer Science from Arizona State University.
Kumar Raj is listed with skills including R, Python, Machine Learning, Statistical Data Analysis, Mathematical Modeling, Matlab, Microsoft Sql Server, and Microsoft Excel.
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