Senior AI & Full Stack Engineer | LLMs, RAG, React & Scalable Cloud Architecture
I am a Senior AI & Full Stack Engineer with over 6 years of experience building scalable web applications, cloud-native platforms, and AI-powered systems. My expertise lies in turning advanced AI capabilities into practical, production-ready solutions that solve real business problems.
I work with startups and enterprise clients to design and develop intelligent applications, from AI-powered SaaS platforms to large-scale distributed systems. Whether you need a Retrieval-Augmented Generation (RAG) pipeline, an LLM-based application, or a modern full-stack product, I focus on delivering reliable software that is built to scale.
AI Solutions Built for Production:
- I design and implement multi-agent systems, RAG pipelines, and vector search architectures that improve response accuracy and reduce hallucinations while maintaining strong performance.
End-to-End Full-Stack Development:
- I build responsive user interfaces with React, Next.js, and TypeScript, backed by scalable APIs developed with Python, FastAPI, and Node.js.
Cloud & MLOps Expertise:
- I deploy and manage AI applications on AWS using Docker, Kubernetes, and Terraform, creating reliable infrastructure that supports continuous delivery and high availability.
Business-Focused Engineering:
- I don't just build features—I optimize systems for performance, scalability, maintainability, and cost efficiency so they provide measurable value to the business.
Proven Results:
- Reduced document retrieval latency by 35% by designing context-aware RAG pipelines with LangChain and Pinecone.
- Increased user engagement by 40% by developing real-time AI chat interfaces with Next.js and TypeScript.
- Reduced AI model deployment time from hours to under 15 minutes by provisioning GPU infrastructure on AWS with Terraform.
- Improved enterprise data processing throughput by 28% by modernizing backend microservices and system architecture.
If you're looking for an engineer who can combine AI expertise with strong full-stack and cloud engineering skills, I'd be happy to discuss your project and help build a scalable solution.
Work Terms
Payment & Milestones:
- SafePay Escrow: I begin development once all project milestones are fully funded through SafePay Escrow.
- Fixed-Price Projects: Work is divided into clear, deliverable-based milestones such as planning, design, backend/AI development, frontend implementation, testing, and final handover.
- Hourly Projects: Hours are tracked accurately using the official Guru Tracker and invoiced on a weekly basis.
Communication & Project Updates:
- Workroom Communication: All project discussions, agreements, file deliveries, and official updates are maintained within the Guru Workroom for transparency.
- Meetings: I am available for architecture discussions, sprint reviews, and progress updates via Guru, Slack, or Teams when needed.
- Response Time: Messages are typically answered within 12 business hours.
Scope & Deliverables:
- Revisions: Up to two rounds of minor revisions are included during the QA and testing phase.
- Scope Changes: Requests that fall outside the original project scope will require a new milestone and an updated budget.
Intellectual Property & Code Handover:
- Ownership: Full intellectual property rights transfer to the client upon release of the final milestone payment.
- Source Code Delivery: The complete project source code is delivered through a clean and well-documented GitHub repository, along with any agreed project documentation.