Languages
PythonTypeScriptJavaScriptRustSQL
Resume
Zacharia Hammad
Full Stack Software Engineer
Secure AI Workflows | Knowledge Graphs | Agentic Interfaces | Event-Driven Architecture | Security
Washington, DC AreaU.S. Citizenzachariahammad@gmail.comzachariahammad.comlinkedin.com/in/zach-hammadgithub.com/Zach-hammad
// SUMMARY
Secure AI workflow systems
Full Stack Software Engineer building secure AI workflow systems across Python/FastAPI services, React/TypeScript interfaces, event-driven infrastructure, LLM knowledge graphs, RAG/search, and human-in-the-loop product surfaces. Experience with multi-tenant authorization, audit logging, source-attributed evidence workflows, transactional event delivery, DLQ/replay, and production security hardening.
// TECHNICAL SKILLS
Technical Skills
Core stack
FastAPIReact 19Next.jsPostgreSQLNeo4jKafka/RedpandaRedis
AI systems
ClaudeOpenAI APIsCodex-assisted developmentRAGLightRAGGraphitivector retrievalknowledge graphstool-calling agentshuman-in-the-loop workflows
Reliability
transactional outboxDLQsreplay workflowsidempotent processingretriescircuit breakerscross-language event contracts
Security
multi-tenant isolationPostgres RLSHMAC event signingservice authCypher-injection hardeningPII redactionaudit logging
// PROFESSIONAL EXPERIENCE
Professional Experience
Software Engineer
Visionary Solutions
Aug 2025 - Present
- Independently developed a multimodal evidence-processing platform used in enterprise/government-facing customer demos, spanning GPU inference, entity resolution, event-driven delivery, chain-of-custody workflows, and multi-tenant API surfaces.
- Designed graph/RAG infrastructure that became the core intelligence layer for customer-facing AI SaaS workflows, powering entity resolution, temporal modeling, graph search, and graph-backed user context.
- Built an LLM-powered investigation assistant with Next.js, Claude/OpenAI APIs, 40+ tool-calling actions, source-linked evidence workflows, graph analytics, and human-in-the-loop write confirmation.
- Engineered cross-service reliability through signed events, transactional outbox delivery, DLQs, replay workflows, idempotent processing, retries, circuit breakers, and cross-language event contracts.
- Hardened multi-tenant security across services with org-scoped isolation, Postgres RLS, Neo4j tenant keys, service authentication, Cypher-injection fixes, PII redaction, and audit remediation.
- Built React/TypeScript AI product workflows now rolling out to customers, integrating LLM chat, voice agents, Bayesian scoring, event consumers, and graph-backed context.
Unmanned Aerial Systems Engineering Co-op
PECO / Exelon
Sept 2023 - Mar 2024
- Engineered Python automation with Pandas and API integrations, reducing reporting time from two hours to under 30 minutes while improving analytics accuracy.
- Built Power BI dashboards for drone quality KPIs and optimized Python/Excel/Power BI data flows, cutting processing time by 75% and improving data accuracy by 20%.
Engineering Co-op
NAVSEA
Sept 2022 - Mar 2023
- Improved submarine simulation algorithms and sensor modeling while documenting electrical/mechanical workflows for gas-sensor and chamber systems.
Research and Development Co-op
Saint-Gobain
Sept 2021 - Mar 2022
- Led Python/MATLAB analytics and statistical modeling for materials experiments, identifying process improvements and potential 50% cost savings.
// PROJECTS
Selected projects
Repotoire
Rust, Code Graphs, Static Analysis
Built a Rust code-intelligence CLI that models repositories as knowledge graphs to catch duplicate logic, dependency cycles, security issues, and architectural drift.
Result: Adopted internally at Visionary Solutions as a developer testing tool.
ML Pothole Detection System
Python, YOLO, Raspberry Pi, PostgreSQL
Built an AI road-defect detection system combining YOLO edge inference, GPS-tagged capture, backend APIs, PostgreSQL, object storage, and a geospatial dashboard.
Result: Won Drexel Senior Design Championship.
SyncSphere Console
Python, ML Ranking, Event Ingestion
Built a hackathon-winning ML event recommendation platform using clustering and ranking to personalize HR engagement.
Result: Won the Wexford Challenge at Philly CodeFest 2025.
// EDUCATION
Education
Drexel University
Bachelor of Science in Computer Engineering, Minor in Data Science
GPA: 3.7 | June 2025