Social Media Engineer

Himanshu Joshi

San Carlos CA Email: ***********@*****.*** Ph: 361-***-**** LinkedIn- himanshu-joshi-604896107 SUMMARY:

A professional software engineer with working knowledge in Deep learning, including Python, Java and SQL. EDUCATION:

Texas A&M University Master of Science – Computer Science GPA: 3.80 May 2020 University of Pune Bachelor of Engineering – Computer Engineering GPA: 3.10 June 2017 Coursework: Data Mining, Adv Problems in Computer Science, Database System, Operating System, Computer Communication Network, Compiler Design, Cloud Computing, High-Performance Computing SKILLS:

Languages: Python; SQL; JavaScript (Angular 6+); PHP; C++; Java EE; RDBMS; HTML 5/ CSS; Go/Golang Machine Learning: Supervised/Unsupervised learning; TensorFlow; Sci-Learn; Keras; PyTorch; NumPy; CNN Methodologies and Tools: Agile/Scrum Methodologies; Git; CI/CD; Tableau; Kubernetes; TDD; Kafka Hadoop: HDFS; HBase; Hive; AWS - EC2; S3; Sage Maker ; OS: Linux; Unix; Windows; DB: Oracle; MySQL ACHIEVEMENT:

• Winner- Hackathon HACK-UTD19 (JP Morgan Chase challenge - first in 400+ teams)

• Published a paper in International Journal of Innovative Research in Science, Engineering, and Technology EXPERIENCE:

1. Icertis New Jersey, USA Professional Services & Data Intern Jun 2019 - Aug 2019

• Worked on ETL, data pipelines to enhance data migration utility by identifying problems in various versions.

• 10% improvement in data validation and data cleansing process by rewriting macros, mapping files & APIs.

• Supported deployment responsibilities to MS Azure and costomize utility to optimize operational efficiency on cloud and integration with SAP MDM.

• Utilized: ETL tools; MS Azure; Visual Studio; C# .Net; Macros; MySQL; Test-driven development; 2. Zaplon Tech solutions Pune, India Software Engineer Jul 2017 - May 2018

• Worked on web development projects and responsible for design project life cycle, and development.

• Developed an interactive user feedback system and improved response time by 60%.

• Implemented scalable & concurrent centralize smart inventory system for the warehouse. Improved storage capacity & delivery time by 15%.

• Utilized: Java; SQL; C Lang; Spring MVC; JavaScript; Apache Web Servers platform; Power BI. 3. Laxmi Pumps Kolhapur, India Information Technology Intern Dec 2016 - Jan 2017

• Successfully deployed wireless server connection using MS 2008.

• Learned configuration and test of DNS and Virtual LAN on servers. Won quick learner title out of 25 interns

• Developed skills on database optimization of client database and remote connectivity using API. PROJECTS:

1. Fusion and Comparison of Image Processing Algorithms for Prediction of Leaf Disease Jun19-May20

• This thesis Compared and combined different machine learning algorithms such as CNN, SVM, and k-NN.

• Achieved 95% accuracy by stacking multiple algorithms & self-evaluating by training itself after fixed intervals.

• Implemented web interface. Utilized: Flask/Django; AWS infrastructure; Docker; Micro Services. 2. Application of Convolutional Neural Network with Transfer Learning Aug 19 - Dec 19

• Accomplished 93 % accuracy in just 6-8 epochs. Utilized the MobileNet model on a different datasets.

• A neural network trained on large datasets, used to apply its knowledge to a dataset it has never seen before. 3. Helping Hands- An Android app and social media platform Feb 19 - Dec 19

• Developed an android application to help people evacuate during Natural Calamities.

• Utilized : AWS EC2 cloud instances for remote connectivitycalong with RDBMS along with RESTful APIs. 4. A Big Data Architecture for Security Data and Its Application for Phishing Characterization May17

• Designed an architecture using big data frameworks to mitigate the cybersecurity problem.

• Used the Naive Bayes algorithm to classify data and Improved accuracy by 15%.

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