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nano141004/README.md
Animated dark horizon banner with a traced path moving toward a north star

Mariano Gerardus Senduk

Chasing useful intelligence across AI, systems, product, and strategy.

Computer Science @ Universitas Indonesia - AI systems - Product engineering - Business strategy


I am a Computer Science student at Universitas Indonesia, using projects as coordinates for a bigger direction: understanding how AI, software systems, product thinking, business, and self-development connect toward useful intelligence.

My north star is contributing to AGI by building systems that are reliable, understandable, and actually useful for people.

Current Direction

  • Connecting AI research, software engineering, product strategy, business, and finance into one long-term trajectory.
  • Working on Klaussa.com as one active coordinate: legal AI, retrieval, agentic workflows, evaluation, and product-facing AI reliability.
  • Turning coursework, competitions, and side projects into public artifacts that show how I think and build.
  • Keeping a personal portfolio as a living atlas of projects, experiments, reflections, and direction.

Things I Build

Area What I am exploring
AI research Information retrieval, speech, computer vision, reinforcement learning, evaluation
Software systems Web apps, APIs, CLI tools, mobile clients, infrastructure, maintainable code
AI product RAG, legal AI, document workflows, user-facing AI reliability
Product / project management Scope, planning, stakeholder communication, delivery, user flows
Business / finance Forecasting, market research, dashboards, operations, strategic reasoning
Creative software Portfolio design, games, custom tools, interaction concepts

Tech Constellation

Languages

Python TypeScript JavaScript Haskell SQL

AI / Data

PyTorch LangChain LangGraph Qdrant Supabase Pandas

Web / Product

Next.js Astro React FastAPI Django Tailwind CSS PostgreSQL

Tools

Git Docker GitHub Actions Cloudflare Vercel

Featured Projects

Project Description Focus
virus-outbreak-modeling-rl Multi-city epidemic control policy modeled as an MDP and solved with reinforcement learning. RL, MDP, policy modeling
exp-extend-list5 ListT5 inference extension on BEIR with grouping, candidate caching, and retrieval-quality analysis. IR, reranking, evaluation
mini-search-engine Search engine built with indexing, compression, TF-IDF, BM25, WAND, LSI, and FAISS retrieval. IR, search systems
CustomChessKell Mini functional-programming chess engine built in Haskell with custom movement logic. Haskell, DSL, game logic
GameJam Plaguewalker, an endless runner game inspired by the Google Dino game and built with Godot 4.3. Godot, game dev
marianosenduk.app Responsive portfolio site for education, projects, skills, experience, and long-term direction. Astro, portfolio, web

Most Used Languages

Top languages for nano141004

Find Me

Portfolio GitHub LinkedIn


Still exploring. Still building. Still chasing the horizon.

Pinned Loading

  1. virus-outbreak-modeling-rl virus-outbreak-modeling-rl Public

    Formulated a multi-city epidemic control policy by modeling pandemic response as a Markov Decision Process (MDP) solved via Reinforcement Learning.

    Python

  2. exp-extend-list5 exp-extend-list5 Public

    Extended the inference procedure of ListT5 (a listwise reranker based on Fusion-in-Decoder T5 by Yoon et. al. (2024)) on the BEIR evaluation benchmark.

    Python

  3. mini-search-engine mini-search-engine Public

    Built a complete search engine using standard python libraries plus numpy, scipy, and FAISS for LSI.

    Python

  4. CustomChessKell CustomChessKell Public

    A mini functional programming project - simple chess engine built with haskell.

    Haskell

  5. GameJam GameJam Public

    Plaguewalker - an endless runner game inspired by the Google Dino game using Godot Engine 4.3.

    GDScript