I build backend systems and AI tools under real-world constraints: limited hardware, noisy inputs, and users who value speed and clarity over complexity.
My work focuses on making language models and automation useful—especially on lightweight infrastructure and edge devices.
I value clean abstractions, measurable trade-offs, and software that survives contact with reality.
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Voice-enabled utilities for desktop and Raspberry Pi, built under tight latency and power constraints.
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Adaptive language-learning bot focused on retention and feedback loops.
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Encrypted note-taking system exploring the balance between usability and privacy.
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Extended portfolio with production work and experiments.
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Languages: Python, Dart, Bash, SQL
Frameworks: FastAPI, Streamlit, LangChain, Discord.py, Telegram Bot API
AI / ML: OpenAI API, Groq, CUDA (basics), NLP tooling
Hardware: Raspberry Pi, ESP32, Arduino
Cloud & Data: AWS, Azure, SQLite, Pinecone, Vercel
Tools: Linux, Git, GitHub, CI/CD basics
- Efficient inference and model compression (quantization, lightweight fine-tuning)
- Retrieval-augmented generation for structured and semi-structured data
- Edge AI systems where latency, power, and privacy matter
- Designing developer tools that fail gracefully



