👋 A Computer Science graduate from the University of Southern California (USC), Seeking 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.✌️
Amazon Web Services and Azure Cloud
Tableau Desktop and Tableau Server
Grafana and AWS QuickSight
Git
Ansible
Shell Scripting
NoSQL (MongoDB, DynamoDB)
Frameworks (Spring Boot, Spring MVC, Flask)
Object Oriented Programming and Design
Product Management, Design and Development
C & C++
HTML(5), CSS(3), JavaScript, Node JS, React JS, SwiftUI & Bootstrap
Data Structures & Algorithms
Programming with R
Core & Advanced Java
Python
Database Management Systems (MySQL, PostgreSQL, GraphQL)
Machine Learning & Natural Language Processing
EXPECTED GRADUATION FROM UNIVERSITY OF SOUTHERN CALIFORNIA(USC).
GPA: 3.9/4.0
UNIVERSITY OF SOUTHERN CALIFORNIA (USC), LOS ANGELES, CA.
MASTER OF SCIENCE in COMPUTER SCIENCE.
GRADUATED FROM KAKATIYA INSTITUTE OF TECHNOLOGY AND SCIENCES, WARANGAL.
CGPA: 9.56/10.0
KAKATIYA INSTITUTE OF TECHNOLOGY AND SCIENCES, WARANGAL.
BACHELOR OF TECHNOLOGY in COMPUTER SCIENCE AND ENGINEERING.
ANDHRA PRADESH BOARD OF INTERMEDIATE,
MARKS: 972/1000
SRI CHAITANYA CO-ED JUNIOR COLLEGE.
GUDAVALLI,VIJAYAWADA.
INTERMEDIATE(+2) [MATHS, PHYSICS, CHEMISTRY].
ANDHRA PRADESH BOARD OF SSC,
CGPA: 9.5/10.0
ST GABRIELS HIGH SCHOOL.
FATHIMA NAGAR, KAZIPET,506004.
PRIMARY AND HIGH SCHOOLING.
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.
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.
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
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.
A Static web page showing a web page sliding on top of a background image that has a floating effect.
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.
**Under Development**
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.
This initiative significantly streamlined organizational infrastructure management, enhancing efficiency and cost-effectiveness.
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.
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.
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.
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
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.
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.
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.
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!”
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.
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.
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