Work history
Experience
3 years of experience across product, engineering, and data.
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Asaasin AI (Morris Media Inc.)
Product & Engineering Associate, June 2026 – Present
Shipped working development version of client's internal management system within 2 weeks, from requirements through delivery
Led end to end delivery of a client's internal management system, from requirements gathering calls directly with the client through to a working development build. Managed the full scope independently across product and engineering.
Developed PRD and roadmap, then built core product features reducing manual task time by 75%
Defined the full product requirements document and roadmap for the client's internal management system, translating client needs into structured specifications that guided development. Built and shipped core features end to end with Next.js 14, TypeScript, Tailwind CSS, and Supabase, replacing manual workflows and reducing manual task time by 75%.
Architected database schema and system requirements through direct client requirement gathering calls
Conducted direct client requirement gathering calls to define system requirements, then architected the database schema and technical foundation for the management system accordingly.
Streamlined finance and engagement tracking through roadmap planning for client's internal management system
Identified finance and engagement tracking as core operational pain points through client discovery. Incorporated structured tracking workflows into the product roadmap to replace manual processes.
Projected 50% increase in client acquisition by delivering competitive research insights on rival client acquisition strategies
Conducted competitive research across rival client acquisition strategies and synthesized findings into insights that projected a 50% increase in client acquisition. Delivered research directly to inform leadership decisions.
Informed go to market strategy and landing page rebrand based on competitive research findings
Translated competitive research findings into actionable GTM recommendations for leadership and informed the landing page rebrand strategy, projecting a 50% increase in client acquisition.
ZetaCrush - Early stage B2B startup
Product Manager, Sep 2025 – May 2026
Led 0→1 product development from idea to launched MVP
Owned the entire product process from scratch. Ran 50+ customer discovery interviews, wrote the PRD, defined scope, and shipped the MVP in 4 weeks. Hit 648 weekly active users in week one and 23% day-7 retention.
Drove product strategy pivot from B2C to B2B through user research synthesis
Synthesized findings by analyzing the feedbacks, metrics and KPIs for MVP, to identify willingness-to-pay signals and market fit gaps. Translated insights into a revised roadmap that shaped the company's direction from B2C to B2B.
Shipped a RAG-powered AI feature so users could ask questions in plain English
Defined requirements and shipped a RAG-powered LLM feature using open-weight models and multi-turn architecture so the AI retrieves the right context before answering. Query accuracy improved by 30%.
Improved retention and activation through A/B testing and funnel analysis
Analyzed event-level engagement data using SQL and Python to find where users dropped off, then designed and ran A/B tests across the onboarding flow. Day-7 retention up 23%, activation rate up 18%, time to first value shortened by 2 days.
Built dashboards to track growth and product health across the user lifecycle
Built Looker Studio dashboards tracking 15+ growth and KPI metrics covering acquisition, activation, engagement, and retention. Cut reporting time by 60% and gave the team a shared real-time view of product health.
Developed Python integrations and internal tooling to unblock early users
Shipped Python integrations end-to-end for 30+ early users, resolving technical blockers and accelerating onboarding. Authored internal automation scripts to streamline data ingestion and user workflow pipelines.
Conducted customer discovery by sourcing and enriching 500+ qualified leads using Clay
Built targeted datasets across key market segments using Clay to source and enrich qualified leads. Used these datasets to inform product strategy and validate which customer segments had the strongest product-market fit signal.
Executed cold email outreach campaigns via n8n automation, achieving 25% response rate and 40+ discovery calls
Built automated cold email outreach workflows using n8n, achieving a 25% response rate and scheduling 40+ customer discovery calls. Used findings directly to validate product-market fit assumptions and shape the roadmap.
Built Salesforce integrations and migrated CRM stack to HubSpot, centralizing 1000+ leads
Built Salesforce integrations to sync customer data and automate lead tracking, improving sales pipeline visibility and reducing manual data entry by 40%. Later migrated the full CRM and outreach stack from Salesforce to HubSpot, centralizing 1000+ leads and saving ~40 hours of manual work through automated pipelines.
Achieved 70% open rate and 25% reply rate across HubSpot email sequences with funnel dashboards
Built and optimized HubSpot email sequences achieving a 70% open rate and 25% reply rate. Created dashboards to track funnel progression and optimize targeting strategy based on engagement data.
J.P. Morgan Chase, Commercial banking
Associate, Software Engineer 2, Jan 2024 – Jul 2024
Acted as Product Owner to deliver 3 internal integration projects on time
Stepped into the Product Owner role for 3 internal integration projects, managing the Jira backlog, running Agile ceremonies, and keeping stakeholders aligned. Sprint throughput improved 15%, clarification cycles reduced 40% through detailed user stories in Confluence.
Identified workflow bottlenecks and presented automation POCs to leadership
Mapped internal workflows to surface inefficiencies, designed automation hypotheses, built proof of concepts, and presented validated findings to leadership. Led to a 30% improvement in operational efficiency.
Led API server migration with zero downtime during data center modernization
Led end-to-end API server migration with automated testing and CI/CD via Jenkins. Reduced deployment time by 40% by migrating cloud infrastructure to AWS using Terraform.
Built Kafka pipelines in Java Spring Boot to stream loan data across distributed systems
Built Kafka producers and consumers to stream loan data, improving data latency by 25%. Developed AWS Lambda microservices triggered via Amazon SQS across 3 service interfaces, increasing system modularity and fault tolerance.
Built AWS data lake architecture migrating 1TB+ on-premise data to S3
Developed an AWS data lake architecture migrating 1TB+ of on-premise data to S3 with Glue ETL workflows, reducing data processing time by 75%.
Software Engineer (Analyst), Jul 2022 – Jan 2024
Automated reporting for 200+ stakeholders using SQL, Python, and Tableau
Built automated workflows using SQL, Python, and Tableau that cut manual reporting by 50% across 200+ stakeholders. Improved data quality from 67% to 94% by building SQL transformation layers to clean and standardize 500K+ records.
Reduced BigQuery query execution time from 5 min to under 1 min
Optimized BigQuery queries using partitioning and clustering across 20M+ transactions, reducing execution time from 5 minutes to under 1 minute.
Ran deep-dive SQL analysis on commercial portfolios to surface fraud patterns
Analyzed large commercial banking datasets using SQL to identify valuation trends and fraud signals, improving risk assessment accuracy by 5%. Maintained dbt transformation pipelines ensuring consistency across 15+ downstream reports.
Built REST APIs and shipped Java Spring Boot features in Kubernetes environment
Built REST APIs secured with OAuth 2.0, IAM, and AWS Secrets Manager. Shipped Java Spring Boot features in a Kubernetes and Docker environment. Developed and executed automated UAT and regression test suites across 30+ features ensuring 100% successful production deployments.
Software Engineer Intern, Jan 2022 – Jun 2022
Built demo infrastructure on AWS using Terraform to simulate data pipelines
Built demo infrastructure using Terraform and AWS simulating data pipelines for internal demonstrations, reducing critical defects by 20%.
KPMG
Summer Analyst Intern, Jun 2021 – Jul 2021
Built SQL schemas and Power BI dashboards to track client KPIs in real time
Developed SQL data schemas and launched interactive Power BI dashboards enabling clients to track KPIs in real time, improving reporting efficiency by 25%.