aka -
K.P.◯ ☽ Computer Scientist ◐ Software Developer ◑ Research Engineer ❨ ☼
( Last updated on Dec 28, 2025 - 03:40am PST )
D.
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✧ Keerthana currently works at
Amazon Linux, AWSin the Threat, Security & Vulnerability Management team, in EC2's Kernels & Operating Systems org (KaOS) 🙆🏻♀️.✧ As a Software developer at Amazon Linux (
AL), she, along with the rest of her team driveCVE( Common Vulnerabilities & exposures ) Management; i.e., the vulnerability life-cycle across allAWSOS instances, shells, VMs, Hypervisors, EC2 servers (& containers), etc.; spanning distros non-exclusively including including-AL12,AL1,AL2,AL2023, bare metal instances etc., amongst others.
- She works at the intersection of AI, Distributed Systems, & Correctness; exploring how large-scale intelligent systems can be made more reliable, interpretable, & aligned with design intent.
- Her work integrates research-driven inquiry with production-grade engineering.
✧ Keerthana has developed deep expertise in threat modeling & remediation, i.e, detecting new bugs i.e.,
CVE(s) & patching them; across more than 1,500 CVEs for multiple Amazon Linux (AL) distributions.
- These threat detections & patches regularly touched every single one of the millions of AWS instances deployed globally including all of
EC2servers, AWS hypervisors, etc., duringAL's fortnightly security releases.- Also involved orchestrating automated tests spanning various linux VM instances offered by AWS for packages whose vulnerability lifecycles she's managed end-to-end;
- This non-exclusively includes packages like
docker,kernel,openssl,nss,python,java,mozilla, etc., amongst all packages seen onAL2023& more.For reference, see
AL2023's release notes : docs.aws.amazon.com/linux/al2023/release-notes/all-packages-AL2023.9.html .✧ She is a full-stack SDE with expertise in cybersecurity, cloud, NLP, & statistics.
- At AWS, she has integrated
AWS CDK,C,Rust,Python,JavaScript,node.js, most majorAWS tools & services,APIs,containers & shells,load-balanced edge-APIs & Lambdas, running high frequency, global, federated, throttled workflows orchestrating async requests, to collect critical threat data as soon as they're released; to streamline, plus reliably execute engineering workflows.- She's also tasked with accurately evaluating these bugs, finding &/or designing their corresponding patches from scratch if unavailable- in order to design, plan & prove remediation plans for every CVE, without delay.
- A large part of her work also involves building predictive automation tools for
CVEevaluation, designs scalable cloud infrastructure, & supporting threat detection & mgmt for Amazon Linux.✧ Keerthana's strong computer science foundation from UCSD, enabled her to build deep expertise & skills across
NLP,recommender systems,Algorithms & Complexity Theory,Statistics,cloud architectures, etc., and continue doing so.
- She has contributed significantly to system design efforts, ensuring that critical security information is incorporated effectively into real-world defenses.
- Her niche in
AI,NLP, &computational statisticsenables her to apply rigorous statistical methods to security analysis, threat modeling, & security R&D.✧ Between 2021 & 2025, she's successfully
published multiple research articlesthat have accumulated about50 citationsas of 2025, in conferences & journals likeIEEE,ACL,OpenAire, etc.
➀ 🗓️ Calendly: calendly.com/keerthanap0808/30min
➁ 📧 Email: » [email protected] | » keerthanap0808.at.gmail.dot.com
# Category Links ❶. Matrix( Element ) /Pagure@keepur:fedora.im / pagure.io/user/keepur ❷. Fedora/ fedora:WIKI/Redhataccounts.fedoraproject.org/user/keepur / fedoraproject.org/wiki/user:keepur / access.redhat.com/account/57599301 ❸. Website( personal ) /keerthanap8898.github.io/keerthanap8898 / linkedin.com/in/keerthanapurushotham ❹. GitHub/ github-Repositoriesgithub.com/keerthanap8898 / github.com/keerthanap8898?tab=repositories ❺. Mastodon/Bluesky@[email protected] / @keepur8.bsky.social ❻. Google-Scholar/ResearchGatescholar.google: user=tWzF13sAAAAJ / ResearchGate: Keerthana Purushotham ❼. Medium/SubstackMedium: @keerthanapurushotham / Substack: @keerthanapurushotham ❽. X( twitter ) /DiscordX: keepur8 / Discord: 747152507184349195 - ( keepur8 ) ❾. AI Chatbotnotebooklm.google.com/notebook/fe2125af-e6e0-4815-8181-041b267e3b8b
( Note: She's not a CISO / CISSP as she's uncertified but she does have comparable experience. )
( Transcripts, certificates, & LORs. )
❸ LinkedIn: linkedin.com/in/keerthanapurushotham
❹ GitHub: keerthanap8898.github.io/keerthanap8898 | github.com/keerthanap8898 | github.com/keerthanap8898?tab=repositories
❺ Public Mention: forum.posit.co/t/r-language-openssl-vulnerability/186809/5
❻ AI Chatbot trained on Keerthana's Profile:
( googleLM )
❼ Research:
- ➀ Google Scholar - scholar.google.com/citations?user=tWzF13sAAAAJ
- ➁ Medium - medium.com/@keerthanapurushotham
- ➂ Substack - substack.com/@keerthanapurushotham
- ➃ ResearchGate - researchgate.net/profile/Keerthana-Purushotham
- ➄ Google-LM Audio Summary ( G-Drive ) - drive.google.com/file/d/1TIv9bmw2HRo9JkZyHOzG4XH6CTmgmjTd
- ➅ Scopus Author Profile - scopus.com/authid/detail.uri?authorId=57221594595
- ➆ ORCiD Author Profile - orcid.org/0009-0000-8197-7048
- ➇ IEEE Author Profile - ieeexplore.ieee.org/author/37088644371
- ➈ ACL Anthology Author Profile - aclanthology.org/people/keerthana-purushotham
❽ Other:
- ➀ Art Portfolio ( Instagram ) - instagram.com/kp_artses
- ➁ YouTube ( coming soon ) - youtube.com/channel/UCb7duYCP_dpm4lftWeiz3ow
☆[ Security | OSS ]A command‐line tool that launches a temporary containerised runtime to perform AI-assisted CVE impact analysis.
The shell initialises with short-lived authentication tokens (≤ 8 hours) and dynamically installs approved AI model clients (e.g., OpenAI, Anthropic) inside the container. Once execution completes, the container and all secrets are destroyed, leaving no footprint on the host.
- ➀ GitHub README - github.com/keerthanap8898/CveToad
- ➁ GitHub Project Background - github.com/keerthanap8898/CveToad/blob/main/CVE-user-story_Description.md
- ➂ Zenodo - zenodo.org/records/18065367
- ➃ See the
INTRO webpage, and listen to the deep-dive ( 14min ) at - ☆ keerthanap8898.github.io/CveToad/INTRO ☆
☆[ SDLC | Chapter or Booklet ]A comprehensive, formal, & practical framework for software testing across the entire SDLC, from code to continuous verification.
- ┈ Every SDLC stage corresponds to a different NP-hard decision problem.
- ┈ Tests are complexity-reduction mechanisms.
- ┈ Determinism is engineered; not assumed.
- ➀ GitHub - github.com/keerthanap8898/Understanding-Testing-Frameworks
- ➁ LinkedIn - linkedin.com/feed/update/urn:li:activity:7402152817488281600
- ➂ Zenodo - zenodo.org/records/17945080
- ➀ LinkedIn - linkedin.com/feed/update/urn:li:ugcPost:7373897755317960704
- ➁ GitHub - github.com/keerthanap8898/TextToVideoAPI
- ➂ View the demo-webpage at - keerthanap8898.github.io/TextToVideoAPI
- ➃ Zenodo - zenodo.org/records/18065356
An applied research summary introducing advanced confusion-matrix metrics that outperform accuracy in predicting CVE exploitability impact.
- ➀ LinkedIn - linkedin.com/posts/keerthanapurushotham_vulnerabilitymanagement-cve-security-activity-7374937046538436608-quKj
- ➁ Substack - keerthanapurushotham.substack.com/p/accuracy-is-not-enough-confusion
- ➂ Medium - medium.com/@keerthanapurushotham/accuracy-is-not-enough-confusion-matrix-metrics-that-actually-work-in-cve-impact-prediction-d4bafd9cec1b
- ➃ Github - github.com/keerthanap8898/Accuracy-is-Not-Enough-in-Cybersecurity
- ➄ Zenodo - zenodo.org/records/17438182
☆Comprehensive review of security threats, mitigation practices, and compliance measures in enterprise cloud storage systems.
- ➀ IEEE Xplore - ieeexplore.ieee.org/abstract/document/9298281
❹ Image Denoising using Auto-encoders & Spatial Filters for Gaussian Noise [IEEE] | 7 cites — Mar 15 2021
( MSRIT Final Year Project )
☆Proposes a hybrid auto-encoder + spatial filter framework to denoise medical images affected by Gaussian noise.
- ➀ IEEE Xplore - ieeexplore.ieee.org/abstract/document/9377166
- ➁ GitHub - github.com/keerthanap8898/Detecting-pneumonias-from-chest-X-rays-using-different-CNN-architectures
- ➂ Zenodo - zenodo.org/records/18065387
( internship at Samsung R&D )
☆Introduces a context-aware comment filtering system for NLP pipelines using semantic relevance modeling.
- ➀ ACL Anthology - aclanthology.org/2020.icon-workshop.5
- ➁ GitHub - github.com/keerthanap8898/context-based-comment-filtering
- ➂ Zenodo - zenodo.org/records/18065405
( internship at Cleo )
☆Analysis & automation of types of EDI mapping (to help facilitate the manual data mapping in data transformation systems) - using RNNs, Logistic Regression, & Fuzzy Logic to generate results and comparison the three approaches.Repo includes the apk code executing a function to read customer requirement documents as a user-input & automatically generate a ruleset file dynamically.
- ➀ GitHub - github.com/keerthanap8898/Automated-EDI-mapping
- ➁ Zenodo - zenodo.org/records/18065399
❼ 🧩 Mini Projects | linkedin.com/in/keerthanapurushotham/details/projects
ⓐ. Build a Neural CRF for Constituency Parsing : [ Advanced-Statistical-NLP | CSE291]
Implemented a neural CRF parser using the CKY algorithm on the Penn Treebank (PTB) dataset. Computed the partition function within the NLL loss via the inside algorithm and trained models on Google Colab GPU for optimal performance.
ⓑ. Build a Neural CRF NER Tagger - How to build a baby BERT : [ Advanced-Statistical-NLP | CSE291]
Developed BiLSTM + CRF architectures for Named Entity Recognition (NER), compared to a baseline BiLSTM tagger. Implemented and benchmarked both on GPU-enabled Colab environments.
ⓒ. System Measurement - Ubuntu : [ Operating-Systems | CSE221]
Performed experiments to measure OS-level components including CPU scheduling, memory allocation, networking, and filesystem latency on Ubuntu systems; analyzed bottlenecks in system services.
ⓓ. Automation of Irrigation Systems - using either Arduino &/or RaspberryPi: [ IoT-using-Arduino | undergrad]
IoT-based Arduino project using either Arduino &/or RaspberryPi with moisture sensors & pumps to maintain optimal soil moisture by plant species. Awarded 2nd place in freshman Robotics & Engineering competition at MSRIT.
Fed KP's data into AI things, then asked it to identify & analyze her individual experiences of significance.
Copyright Ⓒ 2025 Keerthana Purushotham <[email protected]>.
All rights reserved.
This repository and its contents may not be copied, modified, distributed, or used
without explicit written permission from the author. See LICENSE for details.