Mayank Devangkumar Tamakuwala

Software Development Engineer

Experience

Software Development Engineer Intern

May 2026 - Present

Irvine, CA

Built the backbone infrastructure for an agentic AI platform, developing a greenfield multi-tenant backend service using Java, AWS CDK, and DynamoDB, orchestrating automated onboarding workflows across 3 distributed AI services.
Architected a Model Context Protocol (MCP) service layer, enabling AI agents to execute complex multi-step onboarding through natural language via 10+ agent-callable tools with zero traditional UI dependency.
Engineered a production-grade multi-tenant security model using AWS KMS, SigV4 cross-account authentication, and dynamically generated IAM bucket policies, enforcing secure tenant isolation across AWS account boundaries.
Led an architecture migration from AWS Bedrock AgentCore to a serverless CORAL Lambda + API Gateway + MCP Gateway stack, presenting design trade-offs to senior engineering leadership while simplifying deployment and improving scalability.

Full Stack Developer

Feb 2024 - Dec 2024

Raleigh, NC

Built and deployed 20+ production applications using React, TypeScript, Node.js, Next.js, GraphQL, and REST APIs, delivering customer-facing features that improved client satisfaction by 30%.
Designed reusable frontend components and backend services using React, Express.js, and Flask, supporting responsive user experiences, workflow automation, and reliable communication across full-stack applications.
Deployed and operated applications across AWS and GCP, configuring S3, Elastic Load Balancers, Cloudflare, Git workflows, and CI/CD, improving scalability and production reliability across 20+ client systems.
Instrumented customer experiences using Google Analytics, Tag Manager, and Search Console, translating product usage data into iterative improvements that increased user engagement by 20%.

May 2026 - Present

Built an AI-native document workspace using React, TypeScript, Node.js, PostgreSQL, and OpenAI APIs, supporting 4 inline AI actions - rewrite, summarize, expand, and extract action items - while implementing document-level retrieval, streaming responses, autosave, and evaluation tracking across 500+ seeded interactions for latency, quality, and reliability.

Mar 2025

Designed a multi-stage retrieval system indexing 10k+ documents, combining dense embeddings, BM25 sparse search, reranking, and automated evaluation pipelines, improving Recall@10 by 25% while serving low-latency REST APIs through decoupled offline indexing and online retrieval workflows with robust ranking instrumentation.

Oct 2025 - Dec 2025

Built a high-performance HTTP gateway using Node.js, TypeScript, Redis, and Docker, implementing rate limiting, smart routing, distributed caching, asynchronous request handling, structured logging, and end-to-end observability, achieving sub-50 ms p95 latency under load while improving backend reliability, scalability, and operational visibility.

Master of Science, Computer Science

Jan 2025 - December 2026

Boston, MA

GPA: 3.95/4.00
Coursework: ML Research Assistant (AR/VR ML - Reality Design Labs), Teaching Assistant CS7180, Programming Design Paradigm, Natural Language Processing, Machine Learning Operations, Algorithms, Distributed Systems, Machine Learning

Bachelor of Science, Computer Science

Jan 2020 - Dec 2023

Long Beach, CA

GPA: 3.75/4.00 - Magna Cum Laude
Achievements: Magna Cum Laude, President's List, Dean's List, COE Excel Peer Mentor and Tutor
Coursework: Data Structures & Algorithms, Machine Learning, Search Engine Technology, Database Fundamentals, OOP, Software Management and Testing, Advanced C++

Programming: Python, TypeScript, JavaScript, Java, SQL, Data Structures, Algorithms, Git
AI & LLMs: PyTorch, LangChain, RAG, Embeddings, AI Agents, Prompt Engineering, Model Evaluation
Product Engineering: React, Node.js, FastAPI, REST APIs, GraphQL, Full-Stack Development
ML Infrastructure: Data Pipelines, Model Deployment, CI/CD, Monitoring, Guardrails, Debugging
Databases & Search: PostgreSQL, MongoDB, Redis, Weaviate, SQL, Vector Databases, Retrieval
Cloud & Systems: AWS, GCP, GKE, Docker, Distributed Systems, Scalability, Observability