backend systems β’ ai β’ generative arti build systems that don't just run β they observe, adapt, and react
- ~5 years in backend + distributed systems
- python, django, microservices, async systems
- slowly moving into ai systems that operate in the real world
less interested in models, more in β how they behave inside systems
evolutionary gossip engine β AI cognition substratea population-based cognitive architecture where intelligence emerges from interacting populations of AI micro-agents, not from a single model.
β github.com/Hitesh111/ahamNetwork
narrative intelligence systema system for tracking how narratives form, spread, and escalate
- detects coordinated activity (not just "mentions")
- tracks lifecycle β emergence β amplification β entrenchment
- maps who is driving a narrative
- predicts how things might unfold in the next 24β48h
most tools tell you what happened this tries to tell you what's coming
(keeping this private for now β happy to talk about it though)
ai resume + job search copilot- auto-tailors resumes per job
- tracks applications
- built as a loop, not a one-time tool
i also make generative / algorithmic art
β https://www.instagram.com/zwa.rt
- exploring visuals through code
- patterns, motion, and controlled randomness
- sometimes more intuition than logic
β’ ai interview platform (django + microservices + kubernetes)
β’ workforce optimization system (ai scheduling)
β’ backend systems serving real businesses at scale
β’ data pipelines for forecasting + analytics
β’ medical imaging ml (gan, u-net)python β’ django β’ fastapi
postgres β’ redis β’ celery
aws β’ docker β’ kubernetes
pandas β’ numpy β’ pytorchβ agentic systems
β narrative / information systems
β decision-making + game theory
β where backend meets intelligence
β generative systems (art + behavior)- linkedin: linkedin.com/in/hitesh111
- email: hiteshkumar111@outlook.com
