Kumar Raj work email
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Kumar Raj personal email
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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)
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Senior Staff Software Engineer (Data Science)Qualcomm Dec 2023 - PresentSan Diego, Ca, Us1) 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. -
Staff Software Engineer (Data Science)Qualcomm Dec 2020 - Dec 2023San Diego, Ca, UsML 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 the platform.5) Loosely coupled extensive plugins-based ecosystem to ensure versatility of the platform across allQulacomm DV teams6) High scalability, high availability, and high fault tolerant system capable of handling very large datasetsgenerated in real time7) Testing system is designed using Docker containers to mimic real distributed production environment.
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Senior Software Engineer(Data Science)Qualcomm May 2017 - Dec 2020San Diego, Ca, Us1) 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 efficient job placements leading to high utilization and huge cost savings in compute clusters4)Development of dynamic compute capacity allocation algorithm which ensure right machine mix allocation in clusters for every fucntional groups based on historical data.
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Data Scientist IiHewlett-Packard May 2015 - May 2017Houston, Texas, UsWorkload 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 forecast accuracy of 83% 4. Patent application filed for my work in "Time series forecasting of data centres workloads"(applied by Hewlett-Packard Enterprise) 5. Co-authored a paper presented in USENIX,HotStorage'16 on "Accelerating analytics workflow in low latency storage systems". -
Data ScientistData Science/Ml Based Startups In Hr Analytics And Cutomer Service Analytics Jun 2014 - May 2015HR Analytics Domain• Built an employee joining failure propensity model for an international HR consultancy company.• Performed predictor variables significance and importance analysis. • Built a Forecasting model for Job Requirements for an international HR consultancy company.• Worked with MongoDB and NEO4J queries to fetch required data for model building.• Developed Text parser for parsing pdf documents and word documents.Customer Service AnalyticsClustering costumers request/comment/review using Machine learning and NLP• Classification Taxonomy development using semi-supervised machine learning• Text parsing, NER, POS-Tagging, Stemming, Lemmatization etc. for NLP• Text Classifier model development to classify user comments for more than 3000 distinct categories• Document preprocessing, feature extraction and model development for text analytics• Web scraper development • Forecasting model development for Line Haulage Rate (LHR)• Worked on customer level segmentation using transaction data
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Data Analyst InternAirports Authority Of India May 2013 - Jul 2013New Delhi, New Delhi, In•Prepared Multi-Year Tariff Proposal (MYTP) for Calicut airport.•Proposed revised tariff rates for aeronautical services.•Revenue from aeronautical services will increase by 514 million INR for the whole control period of 5 years.•Studied aggregate cash flow and balance sheet of airport for the control period of 5 years.
Kumar Raj Skills
Kumar Raj Education Details
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Arizona State UniversityComputer Science -
UdacityMachine Learning Engineering
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Indian Institute Of Technology, KharagpurBachelor Of Technology (B.Tech.)
Frequently Asked Questions about Kumar Raj
What company does Kumar Raj work for?
Kumar Raj works for Qualcomm
What is Kumar Raj's role at the current company?
Kumar Raj's current role is Sr. Staff Software Engineer at Qualcomm US.
What is Kumar Raj's email address?
Kumar Raj's email address is ra****@****ail.com
What schools did Kumar Raj attend?
Kumar Raj attended Arizona State University, Udacity, Indian Institute Of Technology, Kharagpur.
What are some of Kumar Raj's interests?
Kumar Raj has interest in Mathematics, Programming, Social Services, Data Analysis, Technology, Marketing, Environment, Economics, Books, Statistics.
What skills is Kumar Raj known for?
Kumar Raj has skills like R, Python, Machine Learning, Statistical Data Analysis, Mathematical Modeling, Matlab, Microsoft Sql Server, Microsoft Excel, Arcgis, Microsoft Word, Powerpoint, Autocad.
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