history :: 7 roles load —ms · ttfb —ms · build 44fe242 status ✓ all green
Angel Difo
Software Engineer / Notes & Reviews
New York City est. 2027 — cuny qc flow state
hg_catalyst — AI Delivery ◆Google — Data Corruption Monitoring ◆Datadog — Datadog Agent ◆Capital One — Debt Collection Services ◆hg_catalyst — AI Delivery ◆Google — Data Corruption Monitoring ◆Datadog — Datadog Agent ◆Capital One — Debt Collection Services ◆
The Job Log - Where I've Worked7roles across cloud infrastructure, observability, fintech and biomedical data. Newest first. Each entry lists what I actually shipped in each.
hg_catalystSep - Dec 2026
AI Engineer InternCurrent
AI Delivery
Working on delivering AI Workflows & Agents to HGs company fleet
Incoming!
AI AgentsAgent EvaluationsAgent ObservabilityInternship
GoogleMay - Aug 2026
Software Engineer Intern
Data Corruption Monitoring | Google Core & AI
Implemented a new Golang reporting library to feed our Machine Learning model CPU corruption data from Golang clients and integrated across 10,000 Google Data Cells
- Built and deployed Google's production Golang Data Corruption Monitoring Library, enabling high-volume, non-blocking ingestion of bit-level data integrity faults to feed a global fleet Random Forest Regression ML Model
- Integrated the client into Google's Golang internal streaming reader, actively monitoring silent data corruption across 10,000 active global data center cells
- Equipped stage observability (data collection, explanation generation, CPU scoring) into our ML model serving pipeline, flagging underperforming models for automatic rollback across a global fleet
- Created an Incident Response Management Agent that scrapes Google's internal incident response platform for probable SDC related events for observability
Implemented disk-backed log buffering ensuring zero data loss during network outages. Worked on compressor failover and log pipeline reliability.
Designed and developed a production-ready compressor failover system for the Datadog Agent to eliminate data loss during compression blocking, featuring health monitoring, automatic pipeline failover with less than 1% overhead, and comprehensive telemetry
Fixed multiple critical bugs in the logs pipeline including metric consistency across TCP/HTTP senders, duplicate log truncation issues, and wildcard file path validation restrictions
Designed and deployed two serverless REST APIs in Python powering a new Debt Assistance tile across web and mobile.
Architected a Java Spring Boot microservice that interfaces with Capital One's internal Message Hub API to push real-time and batched settlement offers to customers, automating outreach
Created a Snowflake SQL + Streams/Tasks pipeline that stitches together customer, balance, and consent data across 3+ schemas, transforms it into JSON payloads, and streams them directly to Message Hub shrinking payload-prep time by ≈ 20%
Designed and deployed two serverless REST APIs in Python (AWS Lambda + CDK) to power a new 'Debt Assistance' tile in Capital One's web & mobile apps
Columbia University Irving Medical CenterJun 2024 - Dec 2025
Data Engineer Intern
Genomic Data Pipelines
Built a full-stack tool unifying biomedical records from PubMed, GEO, ENA, dbGaP and BioStudies into a single searchable schema.
Engineered a full-stack tool that unifies study, sample, and assay records from PubMed, GEO, ENA, dbGaP, and BioStudies into a single searchable schema
Orchestrated an asynchronous ingestion layer (aiohttp + asyncio) and vectorized clustering logic, shrinking metadata harvest time from 60 min to < 8 min
Built a fault-tolerant ETL pipeline on AWS (EC2 + S3, IAM-scoped roles, CloudWatch alerts) that streams multi-GB FTP payloads directly into object storage
PythonETLPostgreSQLAWSIntern to Part-timeFull StackData
LifeSci NYCSep 2024 - Jun 2025
Technical Campus Ambassador
Ambassador Program
Leading technical interviews and workshops for aspiring professionals.
Conducted many mock technical interviews and resume workshops for students pursuing tech careers
Provided actionable feedback on resumes and application materials to improve students' internship prospects