Keerthana P.

About Keerthana P.

Actively OPEN to interviewing for FULL-TIME SWE-3/SrDev equivalent roles. See github.com/keerthanap8898DISINTERESTED IN CONTRACT ROLES pls stop Opinions are my own 🤷‍ Not a CISO/CISSP (uncertified). I\'m VERY clumsy with acronyms & may have typos/mistakes. Feel free to correct me. All the good bits are from a load of v hard problems I befell with poor luck & had no choice but to grind through. Just kept rolling till it turned effortless. I\'ve been able to learn things fast enough when I needed it or was curious. I enjoy & have proven my ability to grasp dense material quick & /or under pressure: puzzle-like technical challenges etc + formally proving it all. I thrive in high-stress cases needing quick answers & high focus, under smug deadlines. But I do put-off blurry tasks that don\'t easily fit into my priority-based schedule. I’m a WIP🤷‍. Caffeine isn\'t sustainable business. I\'m a fullstack SDE with expertise in cybersecurity, cloud, NLP & statistics. At AWS I build predictive automation tools for CVE evaluation, design scalable cloud infra & handle threat detection for Amzn Linux. My niche in AI, NLP & stats helps me to apply computational statistics to security, threat modeling & security Rx. I\'ve integrated AWS CDK, Rust, Py & Js to streamline processes, & am adept at threat modeling over 1.5k CVEs for AL distros. I\'ve actively contributed to system design & ensured use of relevant info for practical security solutions. With an MS in comp sci from UCSD, I\'ve built skill in NLP, rec-systems, cloud-arch. I\'ve published rx & seek impactful roles to innovate at scale.1• Code: C, C#, C++, Rust | Py, Pytorch | Java, Js, Ts | bash, Git, yml, json, SQL, arm, cross-tooling2• Tools: AWS - CDK, APIGW, SQS, SNS, IaC, IAM, S3, DynamoDB | TensorFlow, containers, Kubernetes3• Logic: REST, Serverless, Network | RBAC, Async, load-balancing, low-latency | Math, Stats, ML, Deep-Learning, NLP, genAI4• Security: CVE, CVSS, NVD, CISA, Mitre, NVD, OSV, Debian, Redhat, FIPS | Threat Modeling | Adversarial Attacks & Mitigation | ESA | ACSSD1• Github: keerthanap8898.github.io/keerthanap88982• Audio: drive.google.com/file/d/1TIv9bmw2HRo9JkZyHOzG4XH6CTmgmjTd3• Resume: drive.google.com/file/d/1LtGicbL9teaShTK5oXK4NMeturMUYBJk4• Portfolio: drive.google.com/file/d/15D_JgxmmwWk-3jJxCQKG3U_3Sug6wcvU5• Public Mention: forum.posit.co/t/r-language-openssl-vulnerability/186809/5#:~:text=which%20will%20lead%20to6• Google-Scholar: medium.com/@keerthanapurushotham | substack.com/@keerthanapurushotham

Experience

1. Software Developer

   Amazon Web Services (AWS)

   Aug 2022 — Present · Seattle, WA, US

   Amazon Linux Vulnerability Mgmt for AL12, AL1, AL2, AL2023 (incl.Desktop & EC2 system-packages)- docs.aws.amazon.com/linux/al2023/release-notes- alas.aws.amazon.com/faqs.html- docs.aws.amazon.com/linux/al2023/release-notes/all-packages-AL2023.9- Public Mention: forum.posit.co/t/r-language-openssl-vulnerability/186809/5#:~:text=which%20will%20lead%20to# Security & Opsa. AL threat management− Owned Linux CVE detection with 2day SLA for ~1450 CVEs, including critical threats, vulnerability lifecycle, & remediation planning.b. CVE Fixes− Fixed 15+ bugs in Amazon Linux pkgs, some needing FIPS compliance. Security assurance of OSS repos in AWS\' Kernels, & Operating Systems (KaOS) in EC2-AWS; all deployed on & orchestrating millions of linux ( & related) containers/shells/VMs/instances, worldwide. This includes Amzn-Linux(AL) distros, EC2, Nitro, bare-metals, Hypervisors, etc.c. Knowledge Sharing & Docs− Maintained critical run-books, mentored new devs & authored all of AL\'s AI security guides.# Design & Development: a. Cloud & API− Built privacy-enhanced REST features using Rust, Py & React, leveraging multi-threading, async calls & AWS-[DynamoDB, IAM, S3, APIGW, CDK, CFN, etc.].b. CI/CD− Migrated 1.5k+ LoC of Rust API infra b/w Services.c. Advanced Telemetry− Engineered nested CloudWatch alarms for real-time req throttling, integrating DevOps automation & ticketing APIs for availability & reliability.# Analytics & Automation:a. CVE Evaluation− Designed AI-driven CVE scoring & rec systems with AmznQ chat-bots to reduce 0-day SLA targets from 2 days to a real-time workflow.b. NLP & Statistics − Designed CVE impact analysis workflow using NLP & time-series analytics to enhance security risk assessment & reduce manual workloads downstream.c. Scrips− Automated repetitive steps via custom scripts, saving approx 1 week/month in manual effort.

Education

• UC San Diego

  Master of Science - MS, Computer Science

• Ramaiah Institute Of Technology

  Bachelor of Engineering - BE, Computer Science