Cole Bisaccia
Verified Expert in Engineering
ML Engineer and Software Developer
Highland, MD, United States
Toptal member since February 10, 2026
Cole is an ML and software engineer specializing in end-to-end machine learning systems and agentic AI development. He designs and deploys production-grade pipelines covering model architecture, data ingestion, feature engineering, inference, and monitoring, with particular depth in time-series forecasting and anomaly detection. Cole develops agentic systems that integrate LLMs with external tools and operating environments to automate complex workflows and support autonomous decision-making.
Portfolio
Experience
- Neural Networks - 8 years
- Python - 8 years
- Artificial Intelligence (AI) - 8 years
- TensorFlow - 3 years
- Keras - 3 years
- Anomaly Detection - 2 years
- C++ - 2 years
- Time Series Forecasting - 2 years
Preferred Environment
Python, Ubuntu, C++, TensorFlow, Keras, FastAPI, Flask
The most amazing...
...thing I've built is an entire agentic harness from scratch with domain specific context window management algorithms
Work Experience
AI Solution Architect
Booz Allen Hamilton
- Designed and deployed an ensemble anomaly detection system, handling over 300 million inference requests.
- Developed a custom agentic harness and context compression algorithms, integrating LLMs into a novel business domain.
- Created a hybrid autoregressive forecasting model reaching 91% average recall.
- Implemented automatic concept drift detection to retrain and update models with minimal human intervention.
- Built a high-performance real-time stream processor in C++20 using Kafka.
- Designed PostgreSQL and Elasticsearch schemas and implemented Alembic-based database migrations.
- Implemented authentication and authorization service using Flask and JSON Web Tokens with tiered endpoint access.
- Built a custom API gateway supporting automatic horizontal scaling, health checks, and sliding-window rate limiting via Redis.
Junior Data Analyst
Blue Cloak
- Led data engineering for operational technology cyber events by building Logstash pipelines and managing Elasticsearch indices.
- Automated backup and recovery workflows to improve data reliability.
- Developed a bi-directional virtual machine network visualization graph in JavaScript to streamline network management.
Junior Data Analyst
Enabled Concept
- Built Selenium scrapers and Talend ETL pipelines for structured data ingestion.
- Managed PostgreSQL databases and improved reliability and query performance.
- Automated recurring data workflows, reducing manual reporting effort.
Experience
EdgeVerse
The platform is token-incentivized, so contributors are rewarded for providing device resources and completing inference jobs. In practice, EdgeVerse combines mobile clients, back-end routing/orchestration, and task/result pipelines to deliver a community-powered AI processing network designed for efficient, real-world content workflows.
Education
Bachelor's Degree in Mathematics and Computer Science
Rutgers University - New Brunswick, NJ, USA
Skills
Libraries/APIs
TensorFlow, Keras, Scikit-learn, LSTM, REST APIs
Tools
TensorFlow Serving, ARIMA, Logstash, Talend ETL
Paradigms
Anomaly Detection, Model Context Protocol (MCP), Microservices, ETL
Languages
Python, C++, JavaScript, SQL
Frameworks
Flask, JSON Web Tokens (JWT), Selenium, TensorFlow Lite
Storage
PostgreSQL, Elasticsearch, Redis, Data Pipelines
Platforms
Ubuntu, Confluent Kafka, Linux, Docker
Other
Artificial Intelligence (AI), Neural Networks, Statistics, Time Series Forecasting, FastAPI, Probability Theory, Linear Algebra, Data Structures, Mathematical Analysis, CI/CD Pipelines, Network Visualization, Web Scraping
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