Professional Summary
Backend Software Engineer with 4 years of experience building production-grade REST APIs, distributed systems, and microservices using Java, Spring Boot, and Oracle SQL. Delivered measurable impact across enterprise financial systems — 40% query latency reduction, 60% drop in manual data entry, APIs processing 100K+ invoices. Expanding into Generative AI engineering: LLM-powered backends, RAG pipelines, vector databases, and MCP server development.
Professional Experience
- Designed and developed RESTful APIs for a vendor invoice management system processing 100K+ invoices — covering submission, approval workflows, Walker system integration for payment clearance, and vendor inquiry management. Documented with OpenAPI/Swagger.
- Automated check cancellation and reissuance by integrating ABBYY OCR with Oracle SQL and VisionPlus — parsing PDFs, extracting financial fields, and triggering chained payment transactions. Reduced manual data entry by 60% and operations team intervention by 80%.
- Optimised Oracle SQL queries across critical payment and invoice workflows, reducing average query latency by 40% — from 7.3s to 4.5s on key search endpoints.
- Migrated legacy Feith FormsIQ components to React.js with Redux Toolkit, cutting frontend load time by 35%.
- Worked on Java and Spring Boot based core banking applications in a large-scale enterprise environment, contributing to feature development, bug fixes, and production issue resolution.
- Gained first exposure to financial-grade engineering standards — strict code review cycles, compliance-aware development, and multi-team release coordination across QA and DevOps.
Skills
Projects
- Built a full-stack behavioral accountability platform using Java, Spring Boot, React/TypeScript, and PostgreSQL with Flyway migrations, JWT auth, and SSE streaming.
- Engineered an LLM-powered plan feasibility engine using provider-agnostic LLM API integration via structured prompt chains, returning validated JSON for real-time cognitive load analysis and 1-click rebalanced schedule proposals, exposed via REST and SSE.
- Published aazdoh-cli to npm — terminal agent with natural language task execution, offline sleep-immune focus timer, interactive AI REPL, and 1-tap rollback, integrating with the Spring Boot backend via API key auth.
- Built and published aazdoh-mcp to npm — an official Model Context Protocol server exposing 18 tools enabling connectivity with AI.
Education
Certifications
ABBYY FlexiCapture • AWS Cloud Practitioner
Barkat Bashir
Backend & Applied AI Engineer
4+ years of enterprise experience at Capgemini architecting high-throughput microservices, low-latency databases, Kafka stream pipelines, and GenAI platforms for global clients including Barclays Bank UK and the US Army & Air Force Exchange (AAFES).
Work Experience
Associate Consultant — US Army & Air Force Exchange (AAFES)
Spearheaded core backend API services and automated OCR processing pipelines for an enterprise vendor invoice management system with Walker payment settlement.
- Automated check cancellation and reissuance workflows by integrating ABBYY OCR with Oracle SQL and VisionPlus, reducing manual data entry efforts by 60%.
- Optimized Oracle SQL execution plans and indexing on high-traffic reporting endpoints, slashing average query response time from 7.3s to 4.5s (40% latency reduction).
- Migrated legacy UI components to React.js and Redux Toolkit, decreasing client-side page load times by 35%.
Software Engineer — Barclays Bank UK
Engineered transactional banking microservices adhering to strict UK banking compliance, zero-defect release criteria, and automated CI/CD deployment pipelines.
- Built robust Java and Spring Boot microservices for account management workflows, payment routing, and audit compliance logging.
- Participated in cross-functional CI/CD automation and strict compliance QA cycles ensuring zero production defects.
Featured Projects
AazDoh Platform
Commitment and accountability platform using structured LLM reasoning to evaluate schedule feasibility, compute completion probabilities, and stream rebalanced schedules via SSE.
aazdoh-mcp
Model Context Protocol server published on npm enabling AI assistants (Claude Desktop, Cursor, Antigravity) to manage schedule and commitment workflows via 18 JSON Schema validated tools over STDIO.
Naqashly Life OS
Productivity suite combining daily habit tracking, zero-knowledge client-side encrypted notes, and income/expense ledgers with instantaneous local balance projections.
rm cue
Progressive web application for habit regulation with interactive box-breathing synthesized in real time using the Web Audio API and offline IndexedDB persistence.
Technical Skills Matrix
Education & Certifications
B.Tech in Mechanical Engineering
Professional Certifications
Open Source Contributions
Get in Touch
Contact Information
Available for backend software engineering, distributed systems, and applied AI opportunities. Feel free to reach out directly for discussions, inquiries, or technical collaboration.