Assistant Engineer

Computer Engineer experienced in machine learning, natural language processing, data mining and programming. A team player with strong communication and technical skills seeking full time opportunities. Education

Master of Science in Computer Engineering, GPA: 3.71 Aug 2016 – Aug 2018 San Jose State University, CA

Coursework: OOPS, Data Structures & Algorithms, Machine Learning, Deep Learning, Computer Networking, Network protocols and programming

Bachelors of Technology in Electronics & Communication, GPA: 3.96 July 2011 – May 2015 GITAM University, Visakhapatnam, India

Skills

Programming: Python, Octave, Java, TensorFlow, Keras, REST APIs, OpenCV, NLTK, R, Scikit-learn Computer Networking: Socket Programming, TCP/IP, HTTP, DNS, DHCP, ARP, Wireshark, Steganography Technologies: Apache Spark, SSIS, SSMS, Tableau, Summit, Tivoli Workload Scheduler, AXIS, ALM, ITSM, ETL, Git Machine Learning: Regression, Classification, Clustering, Dimensionality Reduction, Neural Networks, CNN Work Experience

Future Innovation Intern - McAfee LLC, Santa Clara, USA September 2017 – April 2018

• Implemented an automated steganography (encrypting messages in images) framework in Python to feed into the machine-learning model. Developed a Steganalysis framework in Java for feature extraction and classification. Vertical: Cybersecurity, Programming Language: Python, Java, Algorithms: Classification, ANN Software Engineering Intern - aiNuco Inc., San Jose, USA June 2017 - August 2017

• Created data pipelines for syntactic analysis & language modeling using natural language processing (NLTK) techniques. Built models for data extraction (structured & unstructured) and web scraping.

• Implemented Word2Vec model to identify similarities between data points and PCA to map relations to 2-D. Vertical: Healthcare, Programming Language: Python, Algorithms: NLTK, TF-iDF, Word2Vec Systems Analyst – Polaris Consulting & Services Ltd., Hyderabad, India July 2015 – July 2016

• Analyzed system performance resulting in 12% reduction in False Positive error detection rate.

• Performed system checks and dealt with critical issues. Handled production processes, documented the project and automated daily tasks. Vertical: Banking, Processes: ETL, Summit, ITSM, Tivoli Workload Scheduler Relevant Projects

AI Gaming Assistant March 2018 – May 2018

• Implemented a real-time AI assistant for ‘Rules of Survival’ and other multi-player games using transfer learning and object detection. Implemented self-driving functionality using Lane detection and deep learning with a self- generated dataset. Compared performances of various neural network architectures including AlexNet and VGG. Programming Languages: Python, Tensorflow, Keras, OpenCV, SKLearn, Algorithms: Convolutional Neural Networks (CNN), Artificial Neural Networks (ANN), Object Detection, AlexNet, LeNet, VGG Handwritten Digit Classifier Jan - Feb 2017

• Implemented an artificial neural network to recognize handwritten digits with an accuracy of 97%. Dataset: MNIST, Programming Languages: Python, Octave, Algorithms: ANN, Stochastic gradient descent Spam Filter Dec 2016

• Created a spam filter using Support Vector Machines and the Bag of Words Model. Dataset: Generated from emails, Programming Language: Python, Octave, Algorithms: SVM, Bag of words Distributed Denial of Service Oct - Nov 2016

• Developed a Server-Client (s) model with botnets that could overwhelm a target IP address with ICMP traffic. TCP/ IP was used for communication between nodes. Programming Languages: Python, Java, Protocols: TCP, IP ABHILASH GARIMELLA

+1-669-***-**** *********.********@*****.*** LinkedIn abhilashgarimella https://github.com/AB19

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