Machine Learning Azure Devops

Nithisha Reddy Gaddam

Mail: *****************@*****.*** Phone:+1-386-***-**** LinkedIn:Nithisha Reddy Gaddam Web Portfolio : https://github.com/nithishareddy/portfolio-gnr EDUCATION

University of Central Florida Aug 2023- May 2025

Master’s in Computer Science CGPA:4.0

(Course Work: Machine learning, Design and Analysis of Algorithms, Computer Architecture, Current topics in Machine Learning, Operating Systems and File System Forensics)

VNR Vignana Jyothi Institute of Engineering and Technology Aug 2015 – May 2019 Bachelors in Electronics and Communications Engineering CGPA: 9.31/10 TECHNICAL SKILLS

Programming languages: Java, JavaScript, Python, Terraform, Go Lang, HTML, CSS Frameworks/Libraries: Node.js,React.js, Micronaut,Spring boot, Pytorch,Tensorflow, Numpy, Scikit learn, Pandas. Technologies: Machine learning, Azure DevOps, Jenkins, GCP, Azure Cloud, AWS, Kubernetes, Git,Streamsets. Databases: MongoDB, MySQL

WORK EXPERIENCE

PEGA SYSTEMS

Cloud Development Engineer March 2022 - July 2023

● Developed high-performance Micro-Services for App Registration using Java, Micronaut and MongoDB.

● Enhanced code to maximize test coverage using JUnit and Karate for automated testing.

● Refined the code to mitigate threats by using static code analysis tools like SonarQube .

● Deployed REST APIs on AWS EC2 instances through CI/CD pipelines using Jenkins.

● Developed a service to deploy CRDs onto AWS Kubernetes cluster using Go Lang and Make.

● Contributed to Pega online community discussions to help customers in using the Pega products. TATA CONSULTANCY SERVICES

Systems Engineer (Client: Humana Inc) June 2019 - March 2022

● Developed REST APIs using NodeJS to retrieve real time data from MongoDB and deploy them on GCP through CI/CD pipelines using Azure DevOps.

● Enhanced code to maximize test coverage using Mocha and Chai for automated testing.

● Improved API performance by reducing response time by 60% by implementing Circuit Breaker.

● Automated the process to load data from raw text files into MongoDB collections using NodeJS.

● Designed and implemented data loading pipelines using Streamsets to load data into MongoDB. Research Intern at TCS Innovation Center March 2019 - April 2019

● Developed an OCR model using Deep Learning,Python, TensorFlow and OpenCV to extract text from images.

● Optimized the performance of OCR Model by using pre-processing methods like edge detection using OpenCV.

● Developed a Sentiment Analysis Model using NLP, LSTM and Python . PROJECTS

● Web based ETL : Developed an ETL platform using Node.js and React.js to extract, transform and load data from raw CSV files into MongoDB.

● Cache Simulator : Developed a Java code to simulate Cache using FIFO and LRU policies.

● Branch Predictor : Developed a personalized Branch Predictor using Python, incorporating Smith Counter predictor, GShare counter, Bimodal branch predictor and Hybrid predictor.

● Vision For Vehicles : Designed and trained a Machine Learning model using OpenCV and Deep Learning, to detect humans in line of heavy vehicles in mines and predict the possibility of accidents.

● Cleaning Bot: Developed vision for cleaning bot to detect trash lying on the floor using Image classification, Python and OpenCV .

ACHIEVEMENTS AND CERTIFICATIONS

● AZ-900 : Microsoft Azure fundamentals issued by Microsoft

● Winners of TechnoUtsav 1.0- a hack-a-thon conducted by Deloitte and won 4000 USD cash prize.

● PCSA – Pega Certified System Architect

● Programming in Python - by NPTEL

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