Ishan Tiwari

Building and validating a startup idea focused on transforming how developers debug and manage context in AI systems. Exploring new approaches to intelligent error analysis and context engineering to boost developer productivity.

About

I'm a recent Computer Science graduate from the University of St. Andrews and researcher passionate about the intersection of debugging, context engineering and artificial intelligence. My work focuses on creating intelligent tools that understand and enhance the developer debugging experience through advanced AI systems.

Currently exploring CTM (Continuous Thought Machines) and their applications in AI research, while actively developing solutions that bridge the gap between error analysis and intelligent code assistance. My recent work includes building VS Code extensions that automatically capture error context for AI-powered debugging.

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, 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.

Research & Projects

Fancy-tree
Git-aware tree command that goes beyond file structure by parsing and displaying functions, classes, and code structure inside files. 1.8k downloads with cross-language code analysis powered by tree-sitter. Supports 160+ programming languages and respects .gitignore files, making it the perfect tool for giving AI systems comprehensive codebase context without manual explanation.
Python Tree-sitter Multi-language Parsing Git Integration PyPI Package
Young Enterprise: NFC Wi-Fi Connectivity Solution
Led technical development and sales strategy for custom-designed NFC-enabled Wi-Fi connectivity device in Young Enterprise national competition. Sold out entire product inventory (200+ units within 3 months) and advanced to regional finals winning the best overall team, competing against hundreds of student ventures across the UK. Won multiple awards at trade fairs through innovative product demonstrations and strategic market positioning. Responsible for both technical architecture and go-to-market strategy, managing product development from concept to successful commercialisation.
NFC Technology Hardware Design Sales Strategy Market Research Product Management
World of Wikidata Weather Visualization Tool
Developed an interactive weather data visualization platform using WikiData in collaboration with the Wikimedia Foundation team in a 21-member, multi-team software engineering project. Ensured product alignment with Foundation user stories and accessibility requirements, implementing WCAG compliance and inclusive design principles. Utilized advanced data visualization techniques with 3D plotting capabilities, Agile and Scrum methodologies for efficient project management and seamless software integration across multiple development teams.
Data Visualization WikiData API Accessibility (WCAG) Agile/Scrum Foundation Collaboration
Error Context Collector
VS Code extension that automatically captures Python error context and integrates with Cursor AI for intelligent debugging. Features smart context collection, symbol analysis, and zero-configuration setup. Successfully published on VS Code Marketplace and Open VSX, serving the global developer community with production-ready debugging enhancement tools.
TypeScript VS Code API Python Analysis Cursor AI
AI-assisted Framework for Automating API Integration
Dissertation research developing an AI-assisted framework using Retrieval-Augmented Generation (RAG) with CodeLlama-13B-Instruct. Implemented web scraper for public APIs, a dual-database architecture (relational and vector stores) with comprehensive static analysis pipeline including AST-based evaluation. Achieved 86.9% test pass rate across 315 tests spanning five distinct API domains, demonstrating superior efficiency in automated code generation.
RAG CodeLlama-13B Vector Databases AST Analysis API Integration
NEAT Algorithm Implementation
Successfully implemented NeuroEvolution of Augmenting Topologies (NEAT) algorithm for evolving neural network architectures. Trained agents to consistently beat internal AI opponents in Neural Slime Volleyball, demonstrating emergent behaviors and network complexity evolution through genetic algorithms. Achieved stable convergence and documented the evolution of increasingly sophisticated network architectures over multiple generations.
Python JAX Neural Networks Genetic Algorithms
Japanese Kanji Generation via Stable Diffusion
Fine-tuned Stable Diffusion models to generate novel Japanese Kanji characters from English definitions, successfully creating culturally meaningful characters for modern concepts like "Gundam" and "Deep Learning." Built comprehensive dataset pipeline converting thousands of SVG Kanji to optimized pixel format, implementing custom data validation and quality control measures. Achieved high-quality character generation that maintained traditional stroke patterns while representing contemporary concepts.
Stable Diffusion PyTorch Computer Vision Data Engineering
Bibliography Database Transformation
Research internship with University of St. Andrews and Griffith Institute, Oxford. Automated digitization of bibliographic references for Egyptian hieroglyphic texts using enhanced AnyStyle parser with integrated validation mechanisms. This work aimed to support the academic community by providing improved access to a database of Egyptian hieroglyphic texts.
Python Data Processing Parser Enhancement Academic Research

Ventures

Proteus
2024
Founding Team Member
Was part of the founding team for a venture-backed startup attempt focused on no-code API monitoring solutions. Built a platform as a service for custom monitoring rules, regional performance tracking and API behavior analysis before pivoting focus to other opportunities.
Go JavaScript API Design No-Code Platforms
PanScience Innovations
2024
Full-Stack Developer
Led full-stack development of B2C Faith Tech project at AI-driven startup incubator. Responsible for complete technical execution across front-end and back-end systems, ensuring seamless user experience.
Full-Stack Development AI Integration B2C Platforms
ConceptVines
2023
Algorithm Developer
Designed advanced decision-making algorithms focused on reputation factors for product engineering initiatives. Created scalable solutions supporting high-quality software engineering for startups and enterprises.
Algorithm Design Python Machine Learning
Inferyx Inc.
2020
ML Engineer Intern
Built extra trees classifier for HR analytics at NYC startup focused on automated data and ML pipelines. Developed employee attrition forecasting models using statistical analysis and machine learning.
Machine Learning Pandas Statistical Analysis

Insights

Building fancy-tree to eliminate the repetitive task of explaining codebase structure to AI tools every single time
2025
Read on vibe.forem.com →
Read on Dev.to →
Why I chose IPFS to publish my previous website – On using IPFS as a decentralized alternative to the centralized web.
2023
Read on Mirror →