91%
Improved p90 vulnerability remediation speed at Amazon.
Neil Pasricha / Software Engineer
I’m a software engineer in Austin, currently at Amazon. Most of my recent work has been around customer-impacting security systems and AI-assisted remediation workflows. Earlier work spans full-stack AI products, cloud infrastructure, mobile apps, and founder-built software.
- Large systems with measured outcomes
- LLM tooling for security and operational workflows
- Product and platform ownership from design through rollout
98.5%
Reduced oldest outstanding critical issues from 463 to 7.
100s
Supported hundreds of live deployments in parallel for an AI product team.
7+
Years of professional software engineering across enterprise and startup environments.
Work
A few examples.
A short set of work that covers enterprise security, applied AI, product engineering, and founder-led builds.
Scope
Role
Context
Outcome
Experience
Experience across enterprise, startups, and founder-led products.
Feb 2025 - Present
Amazon · Software Development Engineer II
Leading customer-impacting security initiatives, remediation execution, and LLM-assisted workflows in a high-visibility environment where rollout quality and correctness matter.
Sep 2024 - Dec 2024
BarBoards · Lead Senior Software Engineer
Delivered full-stack AI applications tied to company-critical initiatives and supported operations across AWS, Azure, Supabase, and Grafana for large deployment volume.
Jan 2024 - May 2024
Autonomize.ai · Senior Software Engineer
Built customer-facing GenAI products with OCR and Elasticsearch pipelines, plus end-to-end product delivery in a Python, TypeScript, Azure, Kubernetes, and Docker environment.
Apr 2022 - Jan 2024
Varis · Software Engineer II
Built automation and platform pipelines across Jenkins, GitHub, Azure ML, and Codacy, with a strong focus on reliability and internal engineering velocity.
Jul 2018 - Feb 2022
CognitiveScale · Software Engineer
Designed and shipped platform features, adapted ML models to customer requirements, and led onboarding and training with client ML teams.
Founder work
MindSync, Savidj, Bubble Media
Took early product ideas from concept to architecture to working software across privacy-sensitive, health-adjacent, VR, biofeedback, mobile, and consumer-product spaces.
Approach
How I tend to work.
Turning ambiguity into execution
I work well when the path is still forming: align stakeholders, define a technical plan, ship the first credible version, and use what we learn to make the next decision sharper.
AI work tied to systems
I focus on places where models sit inside a real product or operating workflow: retrieval, context building, review loops, and tooling that reduces engineering analysis time.
Systems that hold up under constraints
My background spans security-sensitive work, deployment operations, cloud infrastructure, and systems where compatibility and rollout discipline matter as much as implementation speed.
Ownership beyond just code
Founder work and consulting both taught me to think in terms of outcomes: what should ship, what matters most now, and what makes the next decision easier.