Ishan Tiwari
Exploring and validating applied AI workflow solutions that bridge experimental agents and production-grade systems. Currently investigating agent governance, agent auditability, and least-access patterns so agents stay scoped to just the permissions a task requires.
Timeline
One-line index of the work featured below, organized by the years that mattered most.
. ├── 2024-2025 │ ├── engine-room-fellow -> builder fellowship (one of 8 in UK) with The Engine Room (AI Engine x Chapter One, backed by Dawn Capital) [about] │ ├── agent-governance-rd -> documenting governance, auditability, and least-access guardrails for agentic systems [focus] │ ├── proteus -> founded a venture-studio-backed no-code API monitoring platform [ventures] │ ├── mcp-games-win -> Gymnasium -> MCP conversion, Dedalus Labs track winner at AI Tinkerers [repo] [research] │ ├── api-integration-framework -> RAG + CodeLlama-13B workflow hitting 86.9% across 315 tests [research] └── Various experiments & Idea validation [projects] ├── 2022-2023 │ ├── academic-digitization -> St Andrews x Griffith Institute internship automating AnyStyle pipelines [research] │ ├── developer-tooling -> Fancy-tree (2k+ installs) + CodeInsight for repo-aware AI workflows [pypi] [research] │ └── young-enterprise -> NFC Wi-Fi hardware venture, 200+ units sold and regional awards [ventures] └── <=2021 ├── mathematics-honors -> PRMO -> RMO, UKMT Senior Kangaroo Gold, Raising a Mathematician cohort [about] ├── ml-internship-nyc -> started at 16 as ML engineer intern at NYC-based Inferyx building attrition forecasting models [ventures] └── the-student-box -> podcast across science-to-classics storytelling [listen] [about] 12 highlights
About
I'm a recent Computer Science graduate from the University of St. Andrews and researcher passionate about the intersection of API development, AI systems, and developer productivity. My work focuses on creating intelligent tools that streamline API integration workflows and enhance the developer experience through advanced automation and AI-powered solutions.
I'm also one of eight fellows in The Engine Room, a program backed by AI Engine and Chapter One with support from Dawn Capital.
I started building in production at 16 through an ML Engineer internship at a NYC-based startup (Inferyx), where I shipped attrition forecasting models and data pipelines that set the tone for my later ventures.
My dissertation research (initiated May 2024) focused on solving the persistent challenge of inconsistent API documentation and the manual complexity developers face when integrating multiple APIs into their applications. I developed an AI-assisted framework for automating API integration using Retrieval-Augmented Generation (RAG) with CodeLlama-13B-Instruct, combining real-time API specifications retrieval with contextual code generation. The system achieved an 86.9% test pass rate across 315 comprehensive tests, dramatically reducing integration time while maintaining code quality and security standards.
Key Achievements: Advanced through PRMO to Regional Mathematical Olympiad (RMO) in India, ranking among top 300 students across two states, UKMT Senior Kangaroo Mathematics Challenge Gold Award (2020/21), selected among top 100 students nationwide for prestigious "Raising a Mathematician" residential camp in India, won the Dedalus Labs track at the AI Tinkerers Hackathon (supported by Anthropic, ElevenLabs, and Vibe Kanban) with MCP Games, a Gymnasium-to-MCP tooling concept for unified agent training workflows, football team captain leading squad to citywide and regional runners-up position, and hosted The Student Box podcast with episodes spanning diverse academic topics from modern science to classical civilisation.
In my spare time, I previously hosted The Student Box podcast, exploring topics from modern science to classical civilization, and contribute to projects focused on AI and developer tools.