keerthanap8898

Keerthana Purushotham

◯ ☽ Computer Scientist ◐ Software Developer ◑ Research Engineer ❨ ☼

✧ Keerthana 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. She currently works at AWS in the Threat, Security & Vulnerability Management team for Amazon-Linux ( AL12, AL1, AL2, AL2023, etc.) in EC2’s Kernels & Operating Systems org ( KaOS )

✧ Keerthana has developed deep expertise in threat modeling & remediation, i.e, detecting new bugs & 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 EC2 servers, AWS hypervisors, etc., during AL’s fortnightly security releases.
• Also involved orchestrating automated tests spanning various linux VM instances offered by AWS averaging monthly bills in the range of $15k - $50k / month 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 those seen in the AL2023 release notes : docs.aws.amazon.com/linux/al2023/release-notes/all-packages-AL2023.9.html, & more).

✧ 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 major AWS 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 & accurately evaluating them without delays to streamline & reliably execute engineering workflows & builds predictive automation tools for CVE evaluation, designs scalable cloud infrastructure, & supports threat detection for Amazon Linux.

✧ Keerthana’s niche in AI, NLP, & computational statistics enables her to apply rigorous statistical methods to security analysis, threat modeling, & security R&D. She has also contributed significantly to system design efforts, ensuring that critical security information is incorporated effectively into real-world defenses. With a strong computer science foundation from UCSD, she has built skills across NLP, recommender systems, cloud architectures, & has published research. She is seeking impactful roles where she can drive innovation at scale.

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Ⓐ Key Links ( x2 ) ➤

• ❶ [࿐ ོ 𓏲 ☀︎ ࿔] : See a full compilation of her work @ github.com/keerthanap8898/bio .

  • ╰┈┈┈┈☁︎ » Resume, Portfolio & more .

  ⎯⎯✧ ˚.☆°｡𓆉 ྀ￮°𓆝˚￮｡𓆡☆｡⋆.݁݁✧˚𓆞｡𓇼𓆝˚𓆟｡༚⋅ ✧⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯
  

• ❷ [˖˚⋆. ݁݁ ⏾˚ ˖ ྀ ⋆] : See this Google-LM notebook, pre-trained on her profile @ AI-chatbot .

  • ╰┈┈┈┈☁︎ » Feel free to privately query it about her work ( no will be able to see the history ).
  • ╰┈┈┈┈☁︎ » You will need a gmail account .

  ⎯⎯✧ 𓋼𖧧˚°⚘𓃦｡𓃙˚𓃠￮𓃥°𓃚'⚘.𓏲˚𓍊𓋼✧｡༚⋅ ✧⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯
  

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Ⓑ Networking:

• 𒅒 Find her on LinkedIn⚭linkedin.com/in/keerthanapurushotham,

• 𒈔 OR, Listen to a podcast-version of it all: google-LM⚭Audio Summary,
  • ⚚ ┈⋆ `.m4a` file on drive, made on googleLM;
• 𒇫 OR, check out her other social media:
  • 𖥂˗˗˗⋆ ResearchGate [ Publication pre-prints ],
  • 𖣂˗˗˗⋆ Medium 🗡️ Substack ⚔️ Mastodon [ Open-source articles ],
  • ⚚ ┈⋆ Instagram⚭@kp_artses [ Art portfolio ].

    ⎯⎯✧ 𓂇𖧧𖠰ᨒ↟𓃬﹏↟𓂃𓃮ᨒ˚𖠰࣪↟𓃮﹏𓃮‿་༘ ✧⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯
    

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Ⓒ Focus Areas & Technical Interests:

Non-exclusively,

• 🌕 AI System Reliability: Correctness & robustness in AI & distributed systems,
• 🌔 Distributed Computing: Scalable, fault-tolerant architecture design,
• 🌓 Scalable Machine Learning Infrastructure: Systems reasoning, verification, & interpretability,
• 🌒 Program Analysis & Dataflow Optimization: Research-informed engineering practice,
• 🌑 Systems for Alignment & Verification: Architecting provably-correct intelligent systems through formal methods, test-driven reasoning, and algorithmic accountability.

  ⎯⎯✧ 𓇢𓆸𓇗⚘𖤣𖥧𓏲°✾.𓅰.𓅭.𓅮.𓅯.𖡼˚↟𖠰✧𖤣𖥧𓅪𖧧⋆ ✧⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯
  

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Ⓓ Career:

She is open to conversations & new opportunities around AI systems research, reliability engineering, & correctness-oriented design.

⎯⎯✧﹌𓆤༉𖧧𖥧𖤣. ༘༝ၴ( ၴႅၴ˖𓏲⚘ཐི༏ཋྀˎ ྀ𓏲𓇗𖤣﹏𓆏࿐⚘𖥧𖤣𓇗ˎˊˎˊ𓆈ˊˎ゛✧⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯

Sl.#	Category	Links
❶.	Matrix ( fedora ) / Pagure	@keepur:fedora.im / fedoraproject.org/wiki/User:Keepur / pagure.io/user/keepur
❷.	Fedora / Redhat	accounts.fedoraproject.org/user/keepur / access.redhat.com/account/57599301
❸.	Website ( personal ) / LinkedIn	keerthanap8898.github.io/keerthanap8898 / linkedin.com/in/keerthanapurushotham
❹.	GitHub / github-Bio / github-Repositories	github.com/keerthanap8898 / github.com/keerthanap8898/bio / github.com/keerthanap8898?tab=repositories
❺.	Mastodon / Bluesky	@keepur@infosec.exchange / @keepur8.bsky.social
❻.	Google-Scholar / ResearchGate	scholar.google: user=tWzF13sAAAAJ / ResearchGate: Keerthana Purushotham
❼.	Medium / Substack	Medium: @keerthanapurushotham / Substack: @keerthanapurushotham
❽.	X ( twitter ) / Discord	X: keepur8 / Discord: 747152507184349195 - ( keepur8 )
❾.	AI Chatbot	notebooklm.google.com/notebook/fe2125af-e6e0-4815-8181-041b267e3b8b

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P.S.

Someday she’ll quit messing with unicode symbols. Not today though. ✨

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