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Akshay Nayak

@akshaynayak

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AI-focused software engineer building scalable full‑stack and retrieval‑augmented systems.

United States

Message

What I'm looking for

I seek roles building production AI/ML systems and scalable full‑stack platforms, where I can drive end‑to‑end design, improve reliability, and mentor teams in a collaborative, data‑driven environment.

I am an AI‑focused software engineer with strong full‑stack experience building scalable retrieval‑augmented systems, production ML pipelines, and real‑time collaborative applications. I have driven end‑to‑end projects using TypeScript, Next.js, Python, Django, PostgreSQL, vector embeddings and Vercel AI SDK to deliver robust, multi‑tenant platforms and semantic search capabilities.

My work combines research and engineering: I completed thesis research on multimodal trust calibration and explainable AI, contributed to benchmarking and sentiment analysis at the Alan Turing Institute, and delivered measurable business impact at Mastercard through analytics features, performance optimizations, testing and mentoring. I prioritize reliability, scalable architectures, and clear, data‑driven product outcomes.

Experience

Work history, roles, and key accomplishments

AI Developer Intern

George Washington University

May 2025 - Aug 2025 (3 months)

Developed a RAG-as-a-service platform using NextJS, TypeScript and PostgreSQL, accelerated semantic search with vector embeddings and Vercel AI SDK, and built a multi-tenant real-time chat with file citations and resilient background processing.

TypeScript PostgreSQL Vector Search Vercel AI SDK Inngest RAG Semantic Search

Software Engineer

Mastercard

Jul 2021 - Aug 2024 (3 years 1 month)

Built full-stack features (Django, React, PostgreSQL) for an on-premise B2B Test & Learn platform, improved processing performance from 2.5 hours to <3 minutes, and delivered analytics versioning and ML preprocessing features that increased analyst efficiency 65% and contributed to 2× client renewals.

Python Django ReactJS TypeScript PostgreSQL A B Testing CI CD

Machine Learning Research Intern

Alan Turing Institute

Jan 2021 - Jul 2021 (6 months)

Built benchmarking frameworks and context-aware sentiment analysis workflows for finance/fintech, improving data analysis efficiency by 55% and establishing evaluation guidelines for customer satisfaction metrics.