Impact at Scale
Delivering measurable business outcomes through AI-first product leadership
About Me
Senior Technical Product Manager with 8+ years driving AI-first digital products from 0→1 ideation through global-scale launch at Amazon. Delivered privacy compliance platform supporting 500M+ daily evaluations across 20+ business units, reducing statutory risk (DMA/DSA fines up to 10% global turnover).
Led AI product initiatives achieving 15% reduction in incident response time and 30% reduction in customer uncertainty. Built award-winning GenAI agents (AWS Hackathon - 3rd place) using Amazon Bedrock, validating new AI product opportunities.
Deep expertise in GenAI/LLMs, privacy regulations (GDPR, CCPA, DSA, DMA), and building platforms that balance latency, accuracy, and trust.
A Quick Guide for Recruiters
This portfolio is designed to showcase my product thinking and impact. Here are a few ways to explore it based on your interests:
For a 30-Second Overview
The Skills section provide a rapid summary of my capabilities and expertise.
For AI Code Review Platform
Explore the CRRA project - a comprehensive AI-powered code review reasoning agent with detailed PRD and technical specifications.
For Product Leadership Experience
Browse my professional experience timeline covering AI/ML architecture, privacy platforms, and scalable system design at Amazon/AWS.
For Complete Professional Details
Download my full resume to see certifications, detailed achievements, and complete work history.
Featured Projects
Code Review Reasoning Agent (CRRA)
Designed an enterprise AI code review reasoning agent to reduce PR cycle time by automating low-value feedback while preserving human oversight. Built proprietary feedback loop capturing senior engineer accept/reject signals to enable future fine-tuning and RL.
- • 18% reduction in repeat code violations (6-week pilot)
- • 91% precision on code issue detection
- • 10 hours/week saved per senior engineer
QuantQ: AI Stock Analysis Agent
Designed a grounded financial intelligence platform using agentic RAG with SEC XBRL parsing, dual-speed orchestration, and a three-layer intervention gate. Every number parsed from regulatory filings, every claim cited to the filing section — computationally grounded, contextually intelligent, fully auditable.
- • 99.5%+ metric accuracy (XBRL-verified vs SEC EDGAR)
- • Russell 3000 coverage with tiered data quality
- • 85% reduction in analysis time (10+ hours → 2 hours per quarterly review)
Skills & Expertise
AI/LLM Systems
- • ReAct/LangGraph Orchestration
- • Agentic RAG/RAG, Vector Stores
- • Tool-calling Schemas
- • Verification Loops
- • Safety Guardrails
- • Hallucination/Jailbreak Detection
- • Policy Grounding
Cloud & Infrastructure
- • AWS Lambda, Step Functions, SQS/SNS
- • DynamoDB, API Gateway, S3
- • EMR, Glue, Spark/PySpark
- • Low-latency Microservices
- • Event-driven Architectures
Product Leadership
- • Roadmapping, PRDs
- • Technical Scoping
- • Dependency Management
- • Prioritization (Accuracy/Latency)
- • Stakeholder Alignment (Legal/Compliance/Security/Infra)
- • Metrics (MTTR, P95 Latency, Precision)
Safety, Governance & Compliance
- • GDPR, DMA, DSA, CCPA
- • Responsible AI, FGAC
- • Compliance-by-default Architectures
- • Auditability Frameworks
- • Policy-driven Decision Systems
Experience
AI Product Lead / SDE II
Oct 2024 – Present- • Owned product vision, roadmap, and execution for the AWS Security Incident Response service, spanning detection, triage, response coordination, and post-incident learning for enterprise customers.
- • Led cross-functional team (engineering, security, data science, operations) to launch customer-facing proactive triage dashboards, driving a 15% reduction in MTTR and improving real-time visibility into incident progression.
- • Designed and evaluated human-in-the-loop frameworks during AI incubation efforts to assess feasibility, accuracy, and safety of automation in incident response workflows.
- • 0→1 Agentic AI Incubation: Identified market opportunity to automate high-severity communication; led discovery of multi-agent orchestration system (3rd place, org-wide hackathon). Validated LCoT reasoning loops achieving 30% reduction in customer uncertainty.
Technical Product Manager / SDE II
Feb 2022 – Oct 2024- • Owned global compliance product strategy and launch of Amazon's Global Privacy Platform for 20+ business units, enabling DSA/DMA compliance and mitigating statutory fine risk (up to 10% of global turnover).
- • Launched privacy rules engine supporting 500M+ daily evaluations with sub-5ms latency, enabling real-time regulatory enforcement and audit-ready investigations.
- • Led executive stakeholder engagement across Legal, Compliance, and 24+ Amazon business units, prioritizing competing requirements to achieve on-time compliance under strict regulatory deadlines.
- • Designed and delivered Fine Grain Access Control (FGAC) for Amazon's central data lake, enabling secure data access for 500M+ users as an out-of-the-box feature.
Data Engineer I
Jun 2021 – Feb 2022- • Owned foundational data products for weather, order, and delivery data, designing automated ETL pipelines (Spark, Python/Scala) that enabled scaling of production AI/ML simulation models.
- • Collaborated with Data Science team to optimize ML feature pipelines, improving forecasting model accuracy by 30%.
- • Delivered Tableau dashboards enabling data-driven decision-making for Amazon promise delivery day stakeholders.
Cloud Support Engineer I
Feb 2020 – Jun 2021- • Resolved 200+ high-severity customer escalations for AWS Big Data/ML services (Glue, EMR, SageMaker), developing deep understanding of customer pain points and product reliability issues.
- • Contributed to On-call Advisory Board, mentoring 10+ engineers on critical incident troubleshooting and improving team response efficiency by 30%.
Big Data Developer
Feb 2018 – Feb 2020- • Delivered end-to-end ETL workflows using Spark-Scala/PySpark, automating data ingestion and transformation to reduce manual overhead by 80% and accelerate time-to-insight for business stakeholders.
- • Translated business requirements into prioritized technical specifications, delivering measurable workforce capacity insights for enterprise clients.
Looking for Complete Details?
For my full professional background, certifications, and detailed project work, download my complete resume.
Download Full ResumeLatest from the Blog
Technical deep dives and product thinking on AI systems, safety, and architecture.
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