Samuel
Abolo
Senior Software Engineer
Machine Learning · AI Systems · Backend Engineering · MLOps
I build systems that ship under real production load. From training ML models and designing distributed backends to deploying AI infrastructure that scales without drama.

Currently at
Boostr
Agentic AI Platform
5+
Years Shipping
Production Systems
Portfolio
Selected Work
pydongo
A Pydantic-based ORM for MongoDB. Typed models, schema validation, and query building, without dropping into raw driver calls.
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Expertise
Skills & Stack
Machine Learning
AI & LLM Systems
Backend Engineering
MLOps & Model Serving
Distributed Systems
Cloud & Observability
Career
Experience
Boostr (via Zazmic Inc)
Senior Software Engineer, Agentic AI Platform
Nov 2025 – Present · New York, USA (Remote)
- ·Architecting multi-agent orchestration pipelines (Google ADK, Vertex AI, Gemini) for automated AdOps decision-making on GCP
- ·Built answer routing logic with tool-calling, structured outputs, and confidence thresholds
- ·Designed production RAG system using pgvector for semantic retrieval across large customer artifact stores
TripAdvisor (via Zazmic Inc)
Software Engineer II, AI Platforms
Oct 2024 – Nov 2025 · USA (Remote)
- ·Reduced AI service deployment time from 2 weeks to under 30 minutes (99.5% reduction)
- ·Migrated ML pipelines from Spark on EKS to Snowflake + Ray, cutting query runtime from 4 hours to 40 seconds (360x improvement)
- ·Reduced AI inference latency by 90%, cutting median execution time from 15 minutes to 62 seconds
NovaTrack
Software Engineer, Real-time Systems (Contract)
Sep 2025 – Nov 2025 · Lagos, Nigeria
- ·Architected a high-throughput vehicle telematics platform in Go for 10,000+ vehicles
- ·Built real-time behavioral anomaly detection flagging geofence violations and reckless driving
- ·Designed event-driven ingestion pipelines using MQTT and WebSockets