


Aditya Arya
I write software that runs closer to the metal than most - a storage engine published on pkg.go.dev, a compiler with a live playground, a voice pipeline hitting sub-second latency on consumer hardware.
About
Final-year CS undergrad at RGIPT. My work lives at the intersection of systems and AI - I've shipped a WAL-durable key-value store inspired by LevelDB, built a Turing-complete language from a blank file in C++17, and cut voice agent latency to under 1.1 seconds on a 4GB GPU by rethinking how LLM output streams into a TTS engine. I contribute to the LFDT Hiero C++ SDK under the Linux Foundation, and I benchmark everything - because claims without numbers are just claims. (Trust me bro benchmarks)
Experience
Open Source Contributor (C++, Go, Python)
Oct 2025 – PresentLFDT Hiero (formerly Hedera)
- –Contributed production-ready features across the Python and C++ SDKs, implementing transaction APIs, JSON-RPC/TCK endpoints, client abstractions, and reliability improvements accepted through maintainer review.
- –Refactored the C++ SDK's TckServer by separating the JSON-RPC protocol layer from the HTTP transport, enabling independent protocol testing, improving modularity, and simplifying future endpoint development.
- –Designed and implemented SDK enhancements including strongly typed exception handling, client factory methods (`from_env`), transaction key support, Hbar factory methods, and developer-experience improvements within the Python SDK.
- –Implemented multiple TCK services covering account, contract, file, and topic operations while expanding protocol-conformance and integration testing across Hiero SDK implementations.
- –Built GitHub automation bots for contributor assignment, merge-conflict detection, and repository maintenance while contributing unit tests, integration tests, and CI improvements.
- –Authored and merged 40+ pull requests across the Python, C++, and Go SDKs through iterative maintainer code reviews in a large open-source blockchain ecosystem.
AI Developer Intern
Jun 2025 – Aug 2025AmberFlux EdgeAI Private Limited
- –Improved retrieval relevance by an estimated 20–25% by redesigning a RAG pipeline's ranking stage with query classification and hybrid scoring.
- –Validated improvements with an evaluation suite built on RAGAS Faithfulness and Context Precision metrics.
- –Fine-tuned a Gemma-3-1B-IT model via Unsloth for a bilingual English/Hindi assistant with memory tracking for multi-turn context.
Skills
GitHub Activity
Projects
Blog
From Walkie-Talkie to True-Duplex: The VAD way
voice activity detection - 4 state debounce machine
Implementing True-Duplex for AI Voice Agent
from half-duplex to true-duplex
Fresher’s condition - A beggars Plea.
ranting for current situation in software development roles
Get in Touch
Open to opportunities, collaborations, and interesting conversations.