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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.

gethivemind.xyzDocsnpm
  • TypeScript
  • Cloudflare
  • Bun
  • React
  • MCP
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

Open source work

All projects

Where I've been

  1. Associate Software Engineer at Enercare

    2025 – Now Markham, ON

    Full stack, all the way down: TypeScript, Nest.js, Azure, React. Mostly I'm dragging legacy systems into a reliable, event-driven future.

  2. Software Development Mentee at Architech

    2025 Toronto, ON

    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.

  3. Software Development Intern at J&M Group

    2024 Toronto, ON

    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.

  4. MS Information Technology at Humber Polytechnic

    2023 – 2024 Education

  5. BS Computer Applications at GLS University

    2019 – 2022 Education

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