Kalyanam Dewri · CV

Product & systems engineer building intelligent infrastructure across AI, autonomy, and high-performance software.

CS @ Arizona State University · Ira A. Fulton Schools of Engineering · kalyanampriyam@gmail.com · GitHub · LinkedIn

Highlights

• 170M

  records / day

  Data infrastructure

• 8.7M

  msgs / sec

  Matching engine

• 87µs

  p99 latency

  Hot path

• 28k

  nightly tests

  Autonomy regressions

• 83→95%

  grounded resolution

  AI assistant

• 38%

  lower inference $

  Production AI

• 2.1×

  throughput

  Spark / Arrow

• 14×

  hackathon wins

  Rapid-response builds

Experience

Selected work

• Canyon Exchange — C++ matching engine, 8.7M msgs/sec at 87µs p99 · case
• RoadTwin — V2X consistency models for connected-vehicle perception · case
• BELIV Replay Harness — 28k nightly tests, 97 → 11 min reproduction · case
• AI Assistant Platform (Paradox) — RAG/tool-calling, grounded 83 → 95% · case
• Blue Yonder Data Observatory — 140 TB/mo, +2.1× throughput · case
• Live Emergency Response System — Devils Invent + DASSH $10K winner · case

Skills

Education

Arizona State University — B.S. Computer Science / Software Engineering, Ira A. Fulton Schools of Engineering. GPA 3.92.

Awards

• Devils Invent + DASSH — 1st place / $10K (2023, Live Emergency Response System).
• Devils Invent: Unexploded Ordnance @ Polytechnic — 1st place (2024, Zone Rouge).
• Devils Invent: Augment Our Reality — 2nd place (2023, Malindo).
• Cal Hacks 10.0 — InterSystems IntegratedML category (Health Insurance 4 Dummies).
• Sunhacks 2023 — prize (MindGlow).
• Codeforces — Candidate Master · 700+ problems solved · ICPC North America regional finalist · World Finals (Baku).