Engineer working on LLMs, RL, AI Agents. Trying to be useful. Aim is to contribute meaningfully to development of AGI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
jiro-kata
June 5, 2026 – Present
Two AI agents walk into a tic-tac-toe board. Both leave disappointed.
View Projectlangchain-adventures
June 5, 2026 – Present
A simple 2-agent research system: researcher + writer
View Projectagentic-ai-builder
April 14, 2026 – Present
Agentic AI system to build Agentic AI systems.
View Projectrl-baselines
December 13, 2025 – Present
Baseline implementations of popular RL algorithms in pytorch.
View Projectclassic-control-rl
November 30, 2025 – December 12, 2025
Train agents for classic control reinforcement learning environments
View ProjectLanguage-Modeling-Zero-to-Hero
June 12, 2024 – July 26, 2024
Learning and implementing language modeling from scratch in PyTorch. Starting from bag-of-words models all the way upto Transformers (LLMs)!
View ProjectTrain-Neural-Networks-In-Pure-Python
June 5, 2024 – June 5, 2024
Define, train and evaluate neural networks on pure python. No dependencies whatsoever.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong personal drive and interest in cutting-edge AI topics, which aligns with an innovative and learning-oriented culture. The diversity of AI-related projects (LLMs, RL, agentic systems) suggests a broad curiosity. However, the lack of team projects or professional experience makes it difficult to fully assess cultural fit, especially regarding collaboration and professional communication.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving methodologies, or communication style.