Final-year CS at RGIPT. I build backend and applied-AI systems in Go, Python and C++; I use Zed btw.

$ go test -bench=. github.com/Adityarya11/...
strata-kv   durable writes, batched fsync          346 → 45,867 rec/s
strata-kv   missing-key lookups, bloom filters     ~100× faster
strata-kv   startup, 25 segments                   825 ms → 2.9 ms
var         end of speech → first audio (p50)      2.07 s   on a 4 GB laptop GPU
var         LLM time to first token (p50)          0.28 s
hiero       merged PRs  (python 30 · c++ 15 · go 3)   48
PASS

• StrataKV: embedded key-value store in Go. Checksummed WAL, atomic batches, Bloom filters. On pkg.go.dev.
• Voice Agent Runtime: a voice agent that runs on one laptop. WebRTC → Go orchestrator → Whisper, Qwen and Piper over gRPC.
• Blan: a small language. C++17 interpreter, Go job queue, and a playground you can try.
• Hiero SDKs: committer on the Python SDK, Linux Foundation Decentralized Trust.

Now: teaching my voice agent to stop talking when you interrupt it, and looking for 2027 backend / applied-AI roles.

adityarya.vercel.app · LinkedIn · X · [email protected]