Core Competencies
A breakdown of my professional background engineered through enterprise platform production environments, technical product management, and architectural designs.
Backend & API Engineering
Designing high-performance, fault-tolerant RESTful microservices using FastAPI, Django, Flask, and Spring Boot. Handled peak enterprise traffic up to 195+ RPS with P95 latency profiles of 5ms.
High-Throughput Scraping
Re-engineering asynchronous scrapers using Scrapy, Selenium, and custom proxy rotation strategies. Scaled concurrent browser instances from 20 to 60 on limited hardware infrastructure, tripling data ingestion rates.
AI DevOps & Automation
Constructing AI-augmented continuous delivery channels. Integrated self-hosted Local Large Language Models (Ollama, n8n) inside isolated air-gapped environments, cutting pull-request cycles by 40%.
Distributed Workflows
Orchestrating intensive compute cycles using Apache Airflow, Celery task workers, and advanced queue structures. Experience tracking data pipelines across target enterprise systems using S3 storage interfaces.
Infrastructure & Security
Deploying application clusters into RHEL environments using Docker Swarm. Implemented enterprise security integrations (LDAP/SAML identity protocols) and full-stack log observability arrays via ELK and Grafana.
Retrieval-Augmented Gen (RAG)
Building tailored internal semantic engine abstractions. Integrated foundational context systems using OpenAI vector space embeddings alongside high-density tokenized indexing databases for search operations.