About.exe

Summary

Experience

Education

Skills

Hammad Shahid

Senior Software Engineer | Capital One

I build scalable backend APIS, immersive frontends, and AI-powered observability platforms. Based in New York City.

Capital One — Sr. SWE, Enterprise Observability
2022 - Present | New York, NY

Led observability rollout for Capital One's $35B Discover Financial acquisition, implementing APM-level tracing and comprehensive monitoring across distributed banking services.
Built and scaled a full-stack AI-powered reliability platform (React, TypeScript, Node.js, Python, PostgreSQL) aggregating telemetry from CloudWatch, Splunk, and New Relic.
Acted as an internal forward-deployed AI engineer, partnering with 15+ product and platform teams to identify high-value AI use cases, translate business workflows into AI solution designs.
Designed and shipped an AI agent that analyzes application reliability scores and generates personalized, context-aware recommendations for engineering teams.
Reduced false-positive PagerDuty alerts by 50% by designing and deploying a context-aware alert suppression platform that eliminated 90+ engineering hours per month.
Accelerated team development velocity by 25% by pioneering AI-assisted engineering workflows using Claude Code, Cursor, and Copilot.

Capital One — Android Engineer, Eno AI
2021 - 2022

Delivered bi-weekly releases to millions of active users by building customer-facing features for Capital One’s AI assistant (Kotlin, Jetpack Compose, XML), reducing mean customer issue resolution time by 35%.
Reduced fraudulent transaction exposure by 18% and improved transaction categorization accuracy to 94% by integrating AI-driven fraud detection and NLP-powered workflows.
Led development of Eno Search and Eno Translate for Android, driving 40% feature adoption within 3 months.
Migrated 60% of the Eno Android frontend from XML to Jetpack Compose, reducing UI build times by 40%.

Capital One — SWE, Fraud Platforms
2020 - 2021

Improved fraud detection latency by 50% by building data ingestion and transformation pipelines (Java Spark, AWS SQS, Lambda, Neptune) processing 10M+ daily transactions, replacing a legacy batch system and enabling sub-5-minute detection.

Notepad - CapitalOne.txt

EMPLOYER: Capital One

ROLE: Senior Software Engineer, Enterprise Observability

DATE: 2022 - Present

DETAILS:

- Led observability rollout for Discover Financial acquisition ($35B), implementing APM-level tracing and comprehensive monitoring.

- Built and scaled a full-stack AI-powered reliability platform utilizing React, Node.js, Python, PostgreSQL, and Snowflake telemetry.

- Acted as an internal forward-deployed AI engineer, partnering with 15+ product teams for high-value AI tooling, reducing SEVs by 35%.

- Designed an AI agent that analyzes application reliability scores and generates context-aware recommendations for teams.

- Reduced false-positive PagerDuty alerts by 50% via a context-aware alert suppression platform eliminating 90+ engineering hours/month.

ROLE: Android Engineer, Eno AI Assistant (2021-2022)

- Delivered bi-weekly releases (Kotlin, Compose) reducing mean customer issue resolution time by 35% via self-service workflows.

- Migrated 60% of Eno Android frontend from XML to Jetpack Compose, cutting UI build times by 40%.

ROLE: Software Engineer, Fraud & Data Platforms (2020-2021)

- Improved fraud detection latency by 50% by building data ingestion pipelines (Java Spark, DynamoDB) processing 10M+ daily transactions.

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C:\My_Projects\

rentback.nyc

A highly-specialized NYC tenant rights platform. Integrating live property data and connecting multiple APIs to power an LLM-driven negotiation engine.

Live Data LLMs

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foreman.build

Streamlined construction management tooling engineered for scale and speed. Reimagining legacy workflows with a lightning-fast enterprise SaaS platform.

SaaS Enterprise

Execute Program

Connect.exe

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Click game board and use arrow keys.

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Resume.doc - WordPad

Hammad Shahid

hammadshahid22@gmail.com | 929-255-5622 | linked.in/in/shahid-hammad/ | github.com/hammad-22

Experience

Capital One — Senior Software Engineer, Enterprise Observability New York, NY | 2022 - Present

Led observability rollout for Capital One's $35B Discover Financial acquisition, implementing APM-level tracing and comprehensive monitoring across distributed banking services supporting 5M+ customers and $10B+ daily transactions.
Built and scaled a full-stack AI-powered reliability platform (React, TypeScript, Node.js, Python, PostgreSQL, Snowflake) aggregating telemetry from CloudWatch, Splunk, and New Relic; embedded LLM-based summarization (AWS Bedrock) to surface plain-language reliability insights and automated scoring across 20+ enterprise banking teams.
Acted as an internal forward-deployed AI engineer, partnering with 15+ product and platform teams to identify high-value AI use cases, translate business workflows into AI solution designs, and ship production agents and tooling, reducing SEV incidents by 35% across partner teams.
Designed and shipped an AI agent that analyzes application reliability scores and generates personalized, context-aware recommendations for engineering teams on how to improve system health, translating raw telemetry into actionable guidance without requiring manual triage.
Reduced false-positive PagerDuty alerts by 50% by designing and deploying a context-aware alert suppression platform (TypeScript, Node, PostgreSQL) that eliminated 90+ engineering hours per month across the enterprise.
Accelerated team development velocity by 25% by pioneering AI-assisted engineering workflows using Claude Code, Cursor, and Copilot for automated code generation, debugging, & technical documentation.

Capital One — Android Engineer, Eno AI Assistant 2021 - 2022

Delivered bi-weekly releases to millions of active users by building customer-facing features for Capital One’s AI assistant (Kotlin, Jetpack Compose, XML), reducing mean customer issue resolution time by 35% by streamlining self-service workflows.
Reduced fraudulent transaction exposure by 18% and improved transaction categorization accuracy to 94% by integrating AI-driven fraud detection and NLP-powered categorization into mobile workflows handling 2M+ daily user interactions.
Led development of Eno Search and Eno Translate for Android, driving 40% feature adoption within 3 months.
Migrated 60% of the Eno Android frontend from XML to Jetpack Compose, reducing UI build times by 40%.

Capital One — Software Engineer, Fraud and Data Platforms 2020 - 2021

Improved fraud detection latency by 50% by building data ingestion and transformation pipelines (Java Spark, AWS SQS, Lambda, Neptune) processing 10M+ daily transactions, replacing a legacy batch system and enabling sub-5-minute detection.
Increased deployment frequency from 2x/week to 8x/week and reduced deployment failures by 70% by designing and automating CI/CD pipelines for data services using Jenkins and CloudFormation.
Reduced fraud investigation time from 1.5 hours to 45 minutes by building a full-stack internal application (React, Python, MongoDB) that visualized call center and fraud data.

Side Projects

RentBack (rentback.nyc): Built and deployed a production AI-powered rent negotiation platform for NYC renters. React/Next.js frontend, Python/FastAPI backend deployed on Google Cloud Run, with a multi-provider LLM pipeline (Groq, OpenAI, Mistral, Ollama). Supports multi-provider LLM routing with graceful fallback.
Foreman (foreman.build): AI-powered construction budgeting and automation platform for NYC contractors. LLM-driven cost estimation, automated contract generation, and a RAG pipeline indexing NYC DOB regulations. Core differentiator is an autonomous voice agent that calls suppliers to gather real-time material estimates. Stack: Python/FastAPI, React/Next.js, LangChain, PostgreSQL/pgvector, Twilio, OpenAI Whisper.

Skills

Languages: JavaScript, TypeScript, Python, NodeJS, Java, Kotlin, Swift, C, C++
Frontend: React, Redux, Next.JS, Tailwind CSS, Jetpack Compose, SwiftUI
Backend/Cloud: Node.js, Spring Boot, FastAPI, AWS (Lambda, ECS, S3, DynamoDB, Bedrock), GCP
Databases: PostgreSQL, MongoDB, DynamoDB, Snowflake, pgvector
AI & Data: SageMaker, LangChain, RAG, LLM Agents, PyTorch, Prompt Engineering, Claude/Cursor

Education & Certifications

University of Illinois Urbana-Champaign — Masters in Business Administration - AI & Analytics (2026 - Present)
University of Maryland — Bachelor of Science in Computer Science, Minor in History (2017 - 2021)
Certs: AWS Certified AI Practitioner (2025), Observe Certified (2025), AWS Solutions Architect (2023)