Shakshi Aggrawal

About Shakshi Aggrawal

Hello, I am a Senior Software Engineer with over 10 years of experience designing and delivering secure, scalable, and fault-tolerant systems at Amazon. Starting as an intern and advancing through teams spanning Reverse Logistics, Information Security, and AI-driven security automation, I’ve developed deep expertise in secure software development, platform architecture, and autonomous workflow systems.I have helped build and evolve Amazon’s core security platforms, including near real-time threat detection systems processing petabytes of data daily and cloud compliance platforms enforcing governance across millions of internal AWS accounts.Recently, my focus has expanded into agentic AI and autonomous workflows, leading initiatives to design AI-driven automated security testing, AI-assisted threat detection development frameworks, and multi-stage experimentation and testing infrastructure for AI agents. These projects enabled rapid prototyping, safe rollbacks, and enhanced observability for large-scale AI-driven security operations.I am passionate about building secure-by-default, reusable architectures, aligning cross-functional teams, and driving complex initiatives from vision to production. I thrive in ambiguous, high-impact problem spaces, mentoring engineers and driving innovation at the intersection of security, AI, and scalable systems.Here are some of my key skills:Industry Knowledge: AI-driven automation, autonomous workflow orchestration, AI experimentation frameworks, observability and rollback for AI workflows, LLM-based system integration; Cloud computing, distributed architecture, architecture design, relational and non-relational database design, programming, continuous deployment and delivery, information security and data handling standards, software development, algorithms, data structures, service-oriented architecture, event driven architecture, testing, system monitoring, security information and event management, application security, performance tuning, operations handling, object-oriented programming principles, connection pooling, caching solutions, autoscaling, technical writing, application threat modelling.AWS products: Bedrock, Agentcore, Sagemaker, EC2, Lambda, ECS, ECR, S3, RDS, Dynamodb, Elasticache, EMR, Kinesis, SQS, SNS, IAM, SWF, Cloudwatch, EventBridge, SES, API Gateway, Cloudtrail, Cloudformation, VPC, Route53, ELB, Private links, ACM, KMS, Secret Manager. Interpersonal: Collaboration, mentoring, leadership and teamwork, influence design and solutions, best practices, hiring and performance reviews.

Experience

1. Senior Software Development Engineer

   Amazon

   Jul 2023 — Present · Seattle, WA, US

   Architected and led applied AI initiatives in Amazon Security, building production-ready autonomous systems that leverage LLMs to automate security workflows, including threat detection, application penetration testing, and threat analysis.• Defined and delivered the strategic vision and architecture for an autonomous pentesting workflow, transforming a prototype into a scalable, observable production system.• Built multi-stage testing and experimentation infrastructure for AI agent workflows, enabling rapid prototyping, reliable operations, rollback safety, and full observability for LLM-driven security processes.• Integrated AI-assisted capabilities into the threat detection lifecycle, enabling security engineers to author detections using natural language. Reduced mean detection development time from 8.5 weeks to 6 weeks, achieving a 30% efficiency improvement.• Earlier work includes designing and delivering foundational platform capabilities, such as a notifications platform for security products and fine-grained authorization for a multi-tenant threat detection control plane.

Education

• The LNM Institute of Information Technology

  Bachelor of Technology (B.Tech.), Computer Science

Skills

• C
• Html
• Matlab
• Microsoft Office
• Java
• Linux
• Programming
• Css
• Windows
• Php
• Javascript
• Jquery
• Bash
• Mysqli