Keerthi Sreenivas
Enterprise Support Engineer at AWS
About me
I’m currently working as an Enterprise Support Engineer at AWS.
I previously worked at Barclays as Cloud and Infrastructure engineer in the Observability team at Barclays and my activities involved collaborating with infrastructure stakeholders, building pipelines and telling stories using data.
I was a part of the Data Science by co-op at Allogene Therapeutics & have a Master’s in Data Science.
I have a strong interest in the the intersection of Technology and Business.
Skills:
- AWS Opensearch, AWS Bedrock, AWS Q Business, AWS Cloudformation, Python, R Shiny, R, SQL, HTML, CSS, Javascript, Ruby, KQL, SPL, AWS S3, Elasticsearch, Kibana, Logstash, Kafka, Kafka connect, Splunk, APM
- Mentorship, Team Player, Advocate for DEI
Experience
Bellevue, WA
- Acting as a trusted technical advisor for Resiliency, Security, AWS Architecture implementations for AWS Customers
- Lead Q Business & Bedrock enablement sessions for AWS Customers & internal teams
- Orchestrating PoCs of AI/ML AWS services with AWS Customers
Cloud/Infrastructure Engineer
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Barclays - Global Technology Infrastructure Services
Jan 2023 - June 2024
Whippany, New Jersey
- Implemented 7+ end-to-end Observability PoC’s for diverse teams, optimizing Database, Networks, File Transfer, Voice Device, and Mainframe infrastructure functions
- Executed near-real-time decommissioning insights for Database servers, resulting in substantial resource savings for up to 450 SQL and Oracle Database Servers
- Championed the adoption of an Observability Mindset across Barclays, fostering a thriving community of over 2500 technology experts through 10+ workshops and 15+ Blogs in Splunk, Kibana and Elasticsearch
- Demonstrated proficiency in Kafka, Bitbucket, SQL, Elasticsearch, Chef, Logstash, Git, Kibana, and Splunk and Experimented with AWS Cloud watch and AWS X Ray
- Recognized as an emerging women leader and currently undergoing the global Emerging Leaders programme 2024 for thought leadership efforts and earned a nomination for the “Change Champion” Group Technology Award 2024
San Francisco, California
- Developed a Data Issue tracker dashboard application in R to reduce time in communication issues in data by 70% which replaced existing licensed software thereby saving $80,000 annually for the company
- Performed stakeholder analysis and translated functional requirements to build the roadmap for iterative development.
- Synthesized User-friendly front-end layouts and designed actionable metrics in the dashboard for the Analytics Team
- Worked with cross-functional teams to automate object extraction in and performed ETL to store it in Aws S3 buckets.
- Built a practice to write efficient and reusable code with configuration files with minimal technical debt
Rochester, NY
- Conducted weekly sessions & taught 200+ students on Big data tools like: Hadoop, Hive, PySpark, Databricks
- Assisted students in connecting and file sharing in Hadoop clusters hosted on AWS S3 and other ad-hoc data democratization tasks.
Hyderabad, India
- Designed the curriculum and produced Content for an experiential learning course “Javascript for Middle School Kids” by creating fun and interactive lessons increasing enrollment by 45% Qtr over Qtr
- Offered one-on-one Mentoring sessions from India for students in the USA henceforth generating revenue of $6,400
Hyderabad, India
- Worked on Developing a Smart Medicine reminder kit and Collaborated with other interns to define the features of the Device.
- Designed the Circuit Diagram.
- Presented Demo’s to several Professors.
Education
2021 - 2022
Masters in Data Science (Business Concentration)
University of Rochester, New York
GPA:
3.7 out of 4.0
- Was a Teaching Assistant for Big Data at the Simon Business School, University of Rochester
- Worked as a Research assistant to pre-process Bio-Medical Image data for training a U-Net Deep Learning Algorithm in the Machine Learning team at the Vaccine Biology and Dermatology labs in University Medical Center
- Attending Grace Hopper 2022 Conference with University Scholarship
- Course Work: Data Science at scale, Machine Learning, Applied Statistical Methods, Data Mining, Technical Entrepreneurship, Time Series analysis and forecasting.
Extracurricular Activities
- Won first place in the Creative Collision Challenge 2022 Pitching competition
- Conducted and Mentored a Zumba workshop under Rochester Indian Association
- Active member of UR Photography club
2017 - 2021
Bachelor of Technology in Computer Science and Engineering (Hons.)
Indian Institute of Information Technology(IIIT), Kottayam
GPA:
8.96 out of 10
- Main Author for the research presentation “IoT based Smart Medicine Reminder Kit” at ACM/CSI/IEEE-CS Research and Industry Symposium at IIIT Kottayam.
- Co-Founded Proxima an Image processing based Start-up for Smart Badminton and Yoga instruction with Feedback using Deeplearning.
- Data Science Courses: Artificial Intelligence, Data Warehousing and Data Mining, Big Data Analytics, Predictive Analytics, Database Management,
- Computer Science Courses: Cloud Computing, Cryptography and Network Security, Computer Programming, Data Structures, Computer Networks, Computer Organization, Compiler Design, Block Chain Technology, IoT (Internet of Things), Operating Systems, Soft Computing, Distributed and Parallel Computing, High Performance Computing, Theory of Computation, Object Oriented Analysis and Design,
- Software Management Courses: Software Engineering and Project Management, Software Design Patterns
- Other Courses: Personality Development, Communication Skills, Economics, Human Resource Management, Financial Management and Accounting, Operation and Supply Chain Management
Extracurricular Activities
- Won 2nd place All India in Smart India Hackathon 2020 for developing a Smart Yoga Instructor with feedback using Deep Learning
- Was the Elected Cultural Club Secretary from 2019-2021
- Won several Photography competitions during all 4 years.
Projects
Colorizer - Deep Learning
A Deep learning based application that converts a Black and White (Grayscale) Image/Video into a Colour video without human guidance.
Elon Musk Dogecoin Tweet Analysis - NLP
Analyzed the sentiments around Elon's tweets about Dogecoin and impact of his tweets on the price of Doge coin.
Marketing Insights - Statistics
Digging through data and finding significant insights to advertise better products to customers of different backgrounds.
Achievements
Creative Collision Challenge 2022
Won 1st Place at the University of Rochester AIN Entrepreneurship cell's yearly pitching competition.
Women Entrepreneurship Week Candidate 2020
Was selected to meet a Senior Director from Jio Industries for a discussion about the Smart Yoga Instructor application AIC Incubation Center at IIIT Kottayam.
Presented my paper at ACM/CSI/IEEE-CS Conference.
Author of “IoT based Smart Medicine Reminder Kit” at ACM/CSI/IEEE-CS Research and Industry Symposium at IIIT Kottayam (My Bachelor's Honors Project)
Get In Touch
My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!