Anne Sai Venkata Naga Saketh

ABOUT ME

👋 A graduate student pursuing a Master of Science in Computer Science at the University of Southern California (USC), graduating in December 2024. I seek a Software Engineer/Data Engineer Full-time roles starting January 2025.

With three years of industry experience at General Electric (GE), I developed scalable cloud-native products, boosting cloud admin productivity by 90%, and implemented a real-time monitoring framework, reducing person-hours by 80%.

My technical skills include Python, R, Java, Tableau, AWS, Data Structures and Algorithms, Object-Oriented Programming, REST API development, and Agile methodologies. My research includes predicting malicious activity in Android using machine learning and conducting NLP-driven political analysis of Subreddits.

I'm eager to contribute to a dynamic organization that values innovation. Contact me on LinkedIn for opportunities or project collaborations.✌️

TECHNICAL SKILLS

Amazon Web Services and Azure Cloud

80%

Tableau Desktop and Tableau Server

75%

Grafana and AWS QuickSight

50%

Git

65%

NoSQL (MongoDB, DynamoDB)

75%

Frameworks (Spring Boot, Spring MVC, Flask)

70%

Object Oriented Programming and Design

80%

Product Management, Design and Development

65%

C & C++

80%

HTML(5), CSS(3), JavaScript, Node JS, React JS, SwiftUI & Bootstrap

80%

Data Structures & Algorithms

80%

Programming with R

70%

Core & Advanced Java

80%

Python

90%

Database Management Systems (MySQL, PostgreSQL, GraphQL)

85%

Machine Learning & Natural Language Processing

75%

PROFESSIONAL EXPERIENCE

• Enhanced user experience by implementing a feature that previews interview questions for selected categories before starting guided interviews, leading to improved user readiness and satisfaction.

• Redesigned the video recording feature to prevent automatic saving to the user's camera roll, reducing unintended media storage by 100% and improving user control over saved content.

• Fixed a bug causing 90% of portrait videos to rotate to landscape upon upload, ensuring proper video orientation and reducing user complaints related to video uploads by 100%, thereby enhancing overall user satisfaction.
• Mentoring 1st Year Masters Students during thier first semester here at USC, Nominated for outstanding mentor Spring 2024.
• Architected and developed a scalable cloud-native solution leveraging AWS services to fortify cloud security round the clock, mitigating security risks and bolstering the productivity of cloud admin teams by 90%. Presently operational across 50+ AWS accounts, overseeing 40,000+ cloud objects, ensuring robust protection against data breaches.

• Spearheaded the development of two pivotal software projects: VERNIL, a comprehensive AWS inventory management system utilizing knowledge graphs, and Centralized Logging, a unified platform for streamlined log access and analysis across multiple systems and applications, benefiting operational efficiency and governance.

• Developed and implemented a cutting-edge real-time monitoring framework for ETL workloads, significantly improving efficiency by automating failure detection and resolution, resulting in an 80% reduction in person-hours.

• Implemented CI/CD integrated cloud infrastructure provisioning pipeline, slashing project creation and deployment time from 24 hours to under 5 minutes, boosting operational efficiency.

• Built an automated backup framework ensuring infrastructure integrity, cleaning irrelevant backups after 7 days, and significantly enhancing cloud platform availability.

• Led Tableau Platform Administration and served as Subject Matter Expert, overseeing platform migrations/upgrades and redesigning critical operations/support workflows to enhance efficiency.

• Automated over 15 dashboards in Tableau and Grafana, enhancing visibility into cloud platform compliance and infrastructure/application usage metrics, resulting in an 80% reduction in manual effort.

• Guided and supported interns throughout their internship, fostering their professional growth and contributing to their success in the program.
• Improved database visibility, increasing team productivity by 70% through real-time alerts and automated reports.

• Architected and Developed data-flow architecture and process orchestration techniques, facilitating rapid development and deployment of ML models by Data Scientists and Engineers.

• Implemented a customized alerting framework integrated with ServiceNow and Active Directory for comprehensive cloud event monitoring, enhancing visibility with a 360-degree view.

• Implemented new features and facilitated migration of the internal Gamification web portal, enhancing user experience and ensuring seamless transition across AWS cloud accounts.
• Devised a comprehensive E-Commerce portal following Spring MVC Architecture combined with NoSQL Database and Bootstrap for a responsive user interface, resulting in a 40% increase in website performance and a 20% boost in customer engagement via seamless user experience.

• Conducted code base reviews and resolved malfunctioning sections. Implemented a robust error handling mechanism, reducing system downtime by 30% and enhancing system reliability.


RESEARCH EXPERIENCE

Machine learning has aided in the development of incredibly efficient solutions to today's complexities. It has virtually pervaded every field, and its potent solutions have substantially assisted humanity's growth. In this research, our prime objective is not to make the right predictions but to probe the different ways of applying the concepts of machine learning. We aim to comprehend the inner working of the models that aid in decision-making. Further, to meet the objectives of this research, we had to analyze a large text corpus. We implemented a fusion of algorithms with high interpretability to derive meaningful information from the data. To this end, we investigated approaches to extracting information from political subreddits using embedding-based sentiment analysis and feature analysis of a classification model.

Presented at 3rd International Conference on Data Intelligence and Cognitive Informatics. Link to the Research Paper
The extent to which malware camouflages has begged the attention of a wide range of researchers all over the world to direct their attention to developing effective detection methods for the same. Current antiviral techniques, which are hash-based and heuristic-driven, do not appear to handle the problem efficiently or effectively. The remarkable success of machine learning in tackling this challenge has increased its usage in developing these detection systems. In this paper, we examine such approaches in order to assess the accuracy of ML-based methods, particularly in a supervised learning scenario, and to provide the reader with a systematization of knowledge on the current state of the field. In this paper, three different methods were proposed based on machine learning models to detect malicious programs, and we evaluated them to show their efficacy and efficiency.

Presented at International Conference on Computational Intelligence and Sustainable Engineering Solutions. Link to the Research Paper

EDUCATION DETAILS

2024

EXPECTED GRADUATION FROM UNIVERSITY OF SOUTHERN CALIFORNIA(USC).
GPA: 3.84/4.0 (as of Spring 2024)

2023 - PRESENT

UNIVERSITY OF SOUTHERN CALIFORNIA(USC), LOS ANGELES, CA.
MASTER OF SCIENCE in COMPUTER SCIENCE.

2020

GRADUATED FROM KAKATIYA INSTITUTE OF TECHNOLOGY AND SCIENCES, WARANGAL.
CGPA: 9.56/10.0

2016 - 2020

KAKATIYA INSTITUTE OF TECHNOLOGY AND SCIENCES, WARANGAL.
BACHELOR OF TECHNOLOGY in COMPUTER SCIENCE AND ENGINEERING.

2016

ANDHRA PRADESH BOARD OF INTERMEDIATE,
MARKS: 972/1000

2014 - 2016

SRI CHAITANYA CO-ED JUNIOR COLLEGE.
GUDAVALLI,VIJAYAWADA.
 INTERMEDIATE(+2) [MATHS, PHYSICS, CHEMISTRY].

2014

ANDHRA PRADESH BOARD OF SSC,
CGPA:  9.5/10.0

2002 - 2014

ST GABRIELS HIGH SCHOOL.
FATHIMA NAGAR, KAZIPET,506004.
 PRIMARY AND HIGH SCHOOLING.

PROJECTS

eBay Application : React.js and iOS SwiftUI Application

Integrated eBay API, enhancing product search, wishlist management, sorting, and cart functionalities for web and iOS platforms. Utilizing React.js for web and SwiftUI for iOS. Users can efficiently search, add products to a wishlist, and manage their cart seamlessly. Multiple sorting options and a robust cart system enhance flexibility. Standout feature is the location-based search with auto-location detection.

  • React.js
  • SwiftUI
  • Software Development
  • Web Development
  • JavaScript
  • Node.js
  • REST API
  • Google Cloud Platform
  • Bootstrap

CodeScribe: Crafting Succinct Summaries for Code Snippets

Automatic code summarization tool to enhance code commenting using Transformer models with self-attention mechanisms, I captured intricate long-range dependencies. Rigorous analysis highlighted the impact of positional encoding, with relative encoding notably enhancing summarization quality. By incorporating Abstract Syntax Trees, improved summary generation by splitting code based on dominator tree blocks in the Control Flow Graph.

  • Python (Programming Language)
  • Machine Learning
  • Tensor Flow
  • Natural Language Processing

Martian Climate Study

Developed machine learning based image classification model utilizing NASA's JPL dataset to accurately identify and distinguish frost patterns on Martian terrain, aiding research on Mars' seasonal frost cycle and its climate impact

  • Python (Programming Language)
  • Machine Learning
  • Scikit-Learn
  • Image Classification

eBay Application : Flask and JS App

Developed a Flask web application with integrated eBay API for product search, wishlist, sorting, and cart functionalities. Implemented auto-location for location-based searches, enhancing user experience with responsive front-end design.

  • Python (Programming Language)
  • Flask
  • HTML
  • JavaScript
  • CSS
  • Web Development
  • REST API
  • JSON
  • Google Cloud Platform

Responsive Static HTML Website

A Static web page showing a web page sliding on top of a background image that has a floating effect.

  • HTML
  • CSS
  • GitHub

Infrastructure Monitoring

Developed and integrated monitoring plugins for Telegraf, Collectd, and Node Exporter, along with creating comprehensive Grafana dashboards, to enhance the operational management and visibility of Data Processing Units (DPUs) and Infrastructure Processing Units (IPUs). This project aims to standardize monitoring, improve performance insights, and streamline management processes.

  • Python (Programming Language)
  • Grafana
  • InfluxDB and Prometheus
  • Ansible
  • Docker

**Under Development**

Inventory Tracking and Billing on AWS

Spearheaded the architecture and development of a pioneering product aimed at comprehensively tracking cloud inventory, establishing inter-object relations for a holistic infrastructure overview. By seamlessly integrating AWS billing data, it enabled a comprehensive spending overview. Moreover, merging access rights data provided crucial insights into diverse access levels across cloud objects.

  • Python (Programming Language)
  • Amazon Web Services (AWS)
  • Git
  • GraphQL
  • Data Visualization
  • Databases
  • JavaScript

This initiative significantly streamlined organizational infrastructure management, enhancing efficiency and cost-effectiveness.

Real-Time Job Monitoring Framework

Built an automated ETL and Reporting jobs monitoring tool utilizing AWS Cloud-native technologies like Lambda, SQS, and SES. This innovative solution continuously monitors job execution, automatically re-triggering failed jobs based on specific criteria such as error type, job history, and platform health. Integrated with ServiceNow for comprehensive auditability, it ensures seamless operations and alerts project owners promptly.

  • Amazon Web Services (AWS)
  • Tableau
  • MySQL
  • Git
  • Databases
  • Extract, Transform, Load (ETL)
  • Python (Programming Language)

This initiative not only eliminated manual monitoring efforts, delivering enhanced efficiency but also significantly reduced license costs. Moreover, it provided valuable data for analysis and audit purposes, contributing to improved resource utilization and cost optimization.

Automated Infrastructure Governance

Architected and developed a cloud-native solution that continuously monitors the actions on an AWS cloud platform, acts on any of the security violations in real-time by remediating them to keep the cloud objects compliant with the organization's policies, then alerts the cloud admin team of the changes and the recommended actions and captures all required information for audit trail. It is integrated with other internal services like IDM(Access Management Tool) and ServiceNow. It is built using the AWS Cloud services like Lambda, SES, CloudTrial, CloudWatch, S3, SNS, and AWS Config.

  • Python (Programming Language)
  • Amazon Web Services (AWS)
  • Git
  • Tableau
  • Databases
  • PostgreSQL

Value Additions:
i. No repeated manual remediation activity by the cloud admin team (90% more productive time for the admin team)
ii. Reduced security violations and risk from any threats
iii. No more platform downtime due to security non-compliant cloud objects
iv. Consistent platform compliance level (Cloud platform compliance always > 98%)
v. Visibility to the admin team and leadership on non-compliance at the most granular level possible by a Tableau dashboard

Emotion Analysis on Micro-Blogging Data

Developed and deployed a machine learning model leveraging official APIs from Twitter and Facebook to predict human emotions based on social media postings. Employed Python for model development, Flask for backend integration, and HTML5, along with Bootstrap3 for front-end presentation. Enhancing the understanding of sentiment analysis and its real-world implications.

  • Flask
  • MySQL
  • Git
  • Scikit-Learn
  • Databases
  • Python (Programming Language)

Customer Billing System

Developed a comprehensive Billing system, allowing for efficient sales management, customer interactions, site operations, and inventory tracking while facilitating sales history analysis and invoice generation. Leveraging Java Swings and Applets for the front-end interface and Java and MySQL database integration on the back end. Contributed to a robust solution that significantly streamlined operational efficiency and enhanced overall business performance.

  • Object Oriented Programming (OOPS)
  • MySQL
  • Git
  • Java
  • Databases

E-Commerce Portal

Developed a comprehensive working E-Commerce portal for commercial usage using HTML5, CSS3, JavaScript, and Bootstrap for the front-end, and Java and MongoDB (NoSQL) for the back-end following the Spring Model-View-Controller (MVC) Architecture.

  • Object Oriented Programming (OOPS)
  • HTML
  • Spring MVC
  • Cascading Style Sheets (CSS)
  • Java
  • Databases
  • Spring Framework

TESTIMONIALS

Gokulnath V

Director, Platform Engineering - General Electric

Saketh Anne joined my team as an intern during his engineering and later joined full-time after completing his graduation. Saketh was the energy and optimism in our team. Within the first few months, he made a mark in a large and impressed the team with his technical & interpersonal skills. Throughout his tenure, it was a great partnership with him on commissioning the AI/ML Platform and building automation solutions in the cloud. His ability to navigate through technical challenges and think out of the box created a huge positive impact on the outcomes we, as a team, made at GE Gas Power.

Being an early career professional, Saketh was smart, intellect, technically sound and highly ambitious. He is the person who always goes the extra mile that every manager would love to have in their teams. I would highly recommend Saketh for roles that need problem-solving skills, complete ownership, and unknowns that require an “I-M-Possible attitude,” i.e., persistence.

For Cricket fans, I fondly describe working with Saketh as “If you plan certain work as a Test match (5 days effort), Saketh will plan for an innings victory on Day 3!”

Oscar Vinas

Sr. Director - Data & Analytics Platform & Operations - General Electric

Saketh was part of the DnA Platform Team, that I have the privilege and pleasure to lead.

I can tell for sure he is a very strong performer, professional, and dedicated. During his time on my team, Saketh contributed to expanding our Cloud solutions and capabilities that support the Gas Power Data Platform.

Whoever has the opportunity to have Saketh will see how his contributions will be a game changer.

Rathinavel Pandian

Director - Data & Analytics - General Electric

Saketh was one of the best Cloud Architects I have worked with; I was very lucky to have him on my team. He consistently gave 100 percent effort to the team and played a significant role in ensuring that all challenges were addressed and communicated on time.

Saketh is a strategic thinker and has excellent problem solving skills. He has a vast range of skill sets like all AWS services, Python, Tableau, Talend, Mysql, Postgres, Machine learning algorithms, and more. He is also highly trust worth and good at multi tasking, This is a very rare skill set to have, His dedication to his projects is nothing short of inspiring, and his ability to challenge and prove is something that I'll miss. I'm grateful to have worked with Saketh and highly recommend him to any company.

CERTIFICATIONS

ADDITIONAL INTERESTS

Gaming & Badminton
Photography
Travelling

KEEP IN TOUCH

SAI VENKATA NAGA SAKETH ANNE

Address:  University of Southern California, 649 W 34th Street
City: Los Angeles
State: California
Zip Code: 90007, USA

CONTACT DETAILS

USC 🎓 E-mail Id : annes@usc.edu

Personal E-mail Id : asvn.saketh@gmail.com