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Jamal Martin

@jamalmartin

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Senior Full Stack engineer blending cloud-native systems with LLM-powered, RAG-driven products.

United States

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What I'm looking for

I’m looking for a role where I can lead cloud-native architecture and ship AI features end-to-end—RAG pipelines, LLM integration, and event-driven services—while building high-impact frontend experiences with strong engineering reliability.

I’m a Senior Full Stack & AI Engineer with 7+ years of experience designing resilient cloud-native systems, AI-driven applications, and event-driven microservices. I architect and ship production-grade platforms that connect modern frontend experiences to intelligent backend services.

At Mindtree, I orchestrated a high-volume real estate platform handling 10K+ daily listings with Go, Python, React, PostgreSQL, and Azure microservices—achieving 99.95% uptime. I built AI-powered property recommendation and semantic search using OpenAI APIs and vector databases, boosting search relevance by 35% and user engagement by 28%.

I’m especially focused on RAG pipelines, LLM integration, and agent orchestration. I automated document parsing and metadata extraction with ML (spaCy, custom NER), cutting manual processing effort by 60%, and launched an LLM-based support chatbot that improved response efficiency by 45% while lowering support tickets by 22%.

Beyond AI, I optimize reliability and delivery speed through practical engineering. I elevated payment reliability to 99% with Stripe-based billing workflows using idempotent webhook handling and automated reconciliation, and cut production debugging time by ~40% using structured logging (OpenTelemetry), centralized error tracking (Sentry), and end-to-end tracing.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Mindtree

Jun 2024 - Present (2 years)

Orchestrated a high-volume real estate platform for 10K+ daily listings using Go, Python, React, PostgreSQL, and Azure microservices, achieving 99.95% uptime. Built AI-powered semantic search and recommendations (OpenAI + vector databases), automated ML document parsing (spaCy NER), and improved chatbot efficiency by 45% while reducing support tickets by 22%.

Go Python React PostgreSQL Microservices Vector Databases Stripe Idempotent Webhooks

Senior Frontend Engineer

Primerica

Jul 2022 - May 2024 (1 year 10 months)

Modernized a legacy Ionic application to Vue.js with the Composition API, improving performance by 50% and reducing production defects by 35%. Built AI-assisted customer support workflows and recommendation systems, cutting response times by 40%, increasing conversion by 18%, and supporting 100+ advisors with predictive analytics dashboards.

Vue.Js Recommendation Engines Performance Optimization Code Splitting & Lazy Loading

Full-Stack Engineer

PokerGo

Aug 2019 - Jun 2022 (2 years 10 months)

Scaled streaming companion web apps with Go, Vue.js, PostgreSQL, and AWS (ECS, RDS, S3), supporting 200K+ concurrent users during peak events. Created a reusable Vue + Tailwind design system and CI/CD automation (GitHub Actions, Terraform), reducing code duplication by 40% and cutting release incidents by 50% while trimming deployment time by 60%.

Go Vue.Js PostgreSQL AWS ECS GitHub Actions Terraform Design Systems Release Automation Scaling

Web Developer

KitelyTech

Sep 2017 - Jul 2019 (1 year 10 months)

Built full-stack client portals using JavaScript, Node.js, and MySQL, improving data retrieval speed by 40% via enhanced indexing and stored procedures. Refactored MVC architecture and RESTful APIs, boosting scalability by 3x and reducing technical debt.

JavaScript JavaScript (Node.Js MySQL RESTful API Design Refactoring Indexing Stored Procedures Scalability