Thamizhannal Paramasivam Email & Phone Number

Bengaluru, Ka, In

Greater Bengaluru Area

Deliver AI/ML-based Behavioral anomaly detection solutions for high-speed Network traffic data. #NDR | #MITRE ATT&CK® | #Spark |#Spot | #InMemoryDB

Bangalore

Implemented AWS EMR PySpark Jobs and integrated with AWS EMR data pipeline.Hands-on exposure in On-premises Data Center migration to AWS Cloud migration.Analyzed and Fine Turning Automatic content categorization ML data pipeline and improved overall coverage.Maintain high prevalence URL coverage for various data feeds.

Bangalore

Multi-label content re-categorization, Gradient Boosted Trees, Anomaly detection, User behavioral analytics, Bench marking of various ML Algorithms.

Bengaluru Area, India

• Web-Scale Text Classification: Designed, implemented, evaluated, and optimized Multi-label Text Classification (SVM, Logistic Regression, Ensemble learning) algorithm for web-scale data which supported content categorization of 56 languages and 75 categories in near real-time used in 20+ products in McAfee. (Ref: https://trustedsource.org/sources/index.pl)

Bangalore

• Worked for Global Threat Intelligence team deals with Web-Scale data and performs large-scale cyber security data analytics for IP, Domain Name, Name Server, Spam Messages, Malwares applications, Web scraping data, etc.• Developed and implemented 100s of Hadoop MapReduce jobs for processing the internet-scale datasets on a 360 node Hadoop cluster and developed the large-scale Machine Learning models using Mahout library.• Implemented spam detection and URL categorization algorithms using k-means clustering and classification on large-scale corpus in Apache Mahout framework. • Have hands-on experience in Hadoop Map Reduce Job deployment in large-scale production clusters.• Designed an XML parsing module for the Hadoop workflow management system before Oozie was available as an open-source project.

Madurai, Tamil Nadu, India

• Virtual Grids: Designed and implemented a job scheduler algorithm. • Setup a High-performance computation platform for Honeywell Turbo engineering in Torrance, TLV, Shanghai, Brno, and Bangalore and automated Serial/Parallel/Distributed Job submissions scripts.• Developed all the Java web services for Job submission, monitoring, and status tracking for the SPEED portal.• Reverse engineered and implemented customized fine/turbo batch mode Run and Mesh File Generator tool. This avoided usage of solver license to generate a run file and saves engineers working time.

Madurai, Tamil Nadu, India

Analyzed of Sun Grid Engine (Open Source batch Job processing system) and Web Portal development to Computer-aided engineering (CAE) tools for Honeywell Turbo Technologies

Extensive Nlp Via Deep Models, Artificial Intelligence

Background and Basics of Modern NLP From Embeddings to Language Models Advanced Python for General Computing & NLP PyTorch for NLP RNNs.

Extensive Vision Ai Program, Deep Neural Network, Computer Vision, Reinforcement Learning

Activities and Societies: Convolution Neural Networks (CNN), Deep Neural Networks (DNN), Reinforcement Learning, Machine Learning(ML) Deep.

External Internship Program, Machine Learning And Computer Vision

Activities and Societies: Convolution Neural Networks (CNN), Deep Neural Networks (DNN), Machine Learning(ML) Project: Created custom.

Certificate Program In Big Data Analytics And Optimization(Cpee), Probability And Statistical Methods, Machine Learning And Big Data Analytics And Optimizations

CPEE is certified for the quality of Content, Pedagogy and Assessment by the Language Technologies Institute (LTI) in the School.

Master Of Engineering, Computer Science, First Class With Distinction

Activities and Societies: Active student in doing research on grid computing, hadoop platform computing and Networking. Worked to setup.

Btech, Information Technology

Education record