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BUKYA NARESH

Systems Architect focused on low-latency engineering. Founder of r/AxiomSystems. Currently bridging Python and C to build high-integrity data engines. Obsessed with performance and memory safety. 🚀

Gemma 4: A Systems Engineer’s Breakdown of the "Divergent" Edge Architecture

Gemma 4 Challenge: Write about Gemma 4 Submission

Gemma 4: A Systems Engineer’s Breakdown of the "Divergent" Edge Architecture

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How I Scaled a C Ingestion Engine from 4M to 209M Rows/Sec: Engineering for the Silicon

How I Scaled a C Ingestion Engine from 4M to 209M Rows/Sec: Engineering for the Silicon

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What Building a 20GB CSV Validator Taught Me About mmap

What Building a 20GB CSV Validator Taught Me About mmap

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Fixing Floating-Point Drift While Speeding Up CSV Ingestion (7.75s 2.7s)

Fixing Floating-Point Drift While Speeding Up CSV Ingestion (7.75s 2.7s)

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Case Study: Reducing Data Ingestion Latency by 96.4% (24.5x Speedup)

Case Study: Reducing Data Ingestion Latency by 96.4% (24.5x Speedup)

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🚀 Bypassing the Python GIL: How I Processed 10M Rows in 0.26s with C

🚀 Bypassing the Python GIL: How I Processed 10M Rows in 0.26s with C

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Stop Paying the Abstraction Tax : How I Built a C-Engine 12x Faster than Pandas

Stop Paying the Abstraction Tax : How I Built a C-Engine 12x Faster than Pandas

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Hardening a 1P/3C Broadcast Engine: Achieving 33.92M records/s with C11 Atomics

Hardening a 1P/3C Broadcast Engine: Achieving 33.92M records/s with C11 Atomics

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7.22M Logs/Sec on a Laptop: Beating the "Abstraction Tax" with C11 Atomics

7.22M Logs/Sec on a Laptop: Beating the "Abstraction Tax" with C11 Atomics

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Why I Bypassed Pandas to Process 10M Records in 0.35s Using Raw C and SIMD

Why I Bypassed Pandas to Process 10M Records in 0.35s Using Raw C and SIMD

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Bypassing the "Pandas RAM Tax": Building a Zero-Copy CSV Extractor in C

Bypassing the "Pandas RAM Tax": Building a Zero-Copy CSV Extractor in C

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Abolishing the "Python Tax": How I hit $3.06 \text{ GB/s}$ CSV Ingestion in C 🧱🔥

Abolishing the "Python Tax": How I hit $3.06 \text{ GB/s}$ CSV Ingestion in C 🧱🔥

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Stop Paying the "Python Object Tax": 10M Rows in 0.08s with C and Parallel mmap

Stop Paying the "Python Object Tax": 10M Rows in 0.08s with C and Parallel mmap

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How to Bypass the Pandas "Object Tax": Building an 8x Faster CSV Engine in C

How to Bypass the Pandas "Object Tax": Building an 8x Faster CSV Engine in C

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How I cut Python JSON memory overhead from 1.9GB to ~0MB (11x Speedup)

How I cut Python JSON memory overhead from 1.9GB to ~0MB (11x Speedup)

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Python was too slow for 10M rows—So I built a C-Bridge (and found the hidden data loss)

Python was too slow for 10M rows—So I built a C-Bridge (and found the hidden data loss)

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