Hi, I'm Aditya
I'm a full stack engineer and aspiring solutions architect who can't leave things alone until I know how they work. I build stuff with equal parts brain and heart, and I think of engineering as architecture, just with fewer hard hats.
To me, building is more than making code work. It's about exploring systems, understanding the problem at hand, and seeing how it shapes the architecture around it. I'm endlessly curious about how people use everyday apps, what makes them stick, and how a codebase evolves as it scales.
Building
Hivemind
A context engine for your agents. One memory for every AI you use.
LLMs are stateless, and your agents have the memory of a goldfish. Hivemind is the context engine I'm building to fix that: a memory layer built on SOTA retrieval techniques that sits under Claude Code, Cursor, ChatGPT and your own agents, and feeds each one exactly the context it needs. Agentic infra, shipped as a SaaS.
Under the hood it's hybrid search (BM25 plus embeddings), RRF fusion and a cross-encoder rerank, knapsack-packed into your token budget, and if nothing's relevant it sends nothing. There's a dashboard that shows exactly what got sent to the model and what got cut, and it plugs in everywhere: MCP for 13 coding tools, a browser extension for chat sites, GitHub and Notion sync, and an SDK for your own agents.
- of answers right on LongMemEval's single-session questions (oracle split), a benchmark it was never tuned on
- 98.4%
- the best published score on MemoryAgentBench's conflicting-facts multi-hop split: 10% against 6%, on 100 questions
- 1.7x
- fewer tokens than pasting the whole conversation: 465 a question against 18,853 on LoCoMo
- 40x
- facts told to one tool were found from another, across chat, MCP and CLI, in a 20-task cross-tool test
- 20/20
Writing
All postsOpen source work
All projectsClipper
An AI agent that chops long videos into social-ready clips. Gemini 2.5 Pro does the watching, FFMPEG does the cutting.
Next.js
PostgreSQL
FastAPI
Gemini 2.5 Pro
Tailwind + ShadCN
Gitbuddy
A crew of agents that handles the repo chores nobody wants: docs, Dockerfiles, and commit history.
Next.js
Supabase
Langchain
Gemini 2.5 Flash + 2.5 Pro
Tailwind + ShadCN
GraphRAG Chat
A chatbot that scrapes the web, builds a knowledge graph, and answers the hard questions with receipts. Serverless on GCP.
Next.js
FastAPI
Spanner Graph DB
Langchain
Gemini 2.5 Flash
Finchat
Ask it about a stock and it answers in real time, charts included. RAG and GPT-4o under the hood.
Python
Fast API
GPT-4o, Azure OpenAI
LangChain, LangGraph
Pandas
Where I've been
Associate Software Engineer at Enercare
Full stack, all the way down: TypeScript, Nest.js, Azure, React. Mostly I'm dragging legacy systems into a reliable, event-driven future.
Software Development Mentee at Architech
Built AI customer support automation with LangGraph and ReAct, got the LLM giving sharper answers with semantic search (OpenAI embeddings, pgvector, HNSW), and set up CI/CD so our Python and React apps stopped needing a babysitter.
Software Development Intern at J&M Group
Designed a location-aware hiring system with PostGIS, shipped pieces of a Next.js PWA job board, and kept our self-hosted Docker Swarm alive and mostly happy.
MS Information Technology at Humber Polytechnic
BS Computer Applications at GLS University
My toolbox
- Frontend
TypeScript
JavaScript
React, React Native
Next.js
TanStack Query
Redux
Tailwind
Storybook
- Backend
Node
Nest.js
Bun
Deno
Spring Boot
FastAPI
Kafka
WebSockets
Dapr
Prisma
TypeORM
- Data
PostgreSQL
MySQL
MS SQL
MongoDB
Redis
Firebase
Supabase
Convex
- Cloud
Azure, Azure DevOps
GCP
Cloudflare
Oracle
Vercel
Docker
GitHub Actions
Bash
OpenTelemetry
Datadog
Sentry
- AI
Claude
Codex
OpenCode
Ollama
Vercel AI SDK
LangChain
Vertex AI
MCP
TensorFlow
- Testing
Jest
Playwright