OMPRAKASH PANDA
AI & Systems Software Engineer
RAG Pipelines · Distributed Systems
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GENGAR
I think, then I build
I care about craft, how clearly things communicate, handle edge cases, and build trust. Always in “let me try this” mode, curious, building, and exploring.
I turn complex data and architecture into scalable AI systems and automated workflows at speed.
I engineer with LLMs, building production RAG pipelines and high-performance
software at the edge of intelligence.
// LIVE DEVELOPER TELEMETRY
Engineering Activity & Velocity
Real-time telemetry tracking code contributions across 52 weeks and competitive typing speed benchmarks.
GitHub Activity Matrix
@Omprakash-p06 · 52-Week Commit Calendar
Typing Speed Telemetry
@Omprakash_p06 · Competitive Benchmarks
Tests Done
100
Duration
~48m
Total XP
7,323
Verified on monkeytype.com
Verify Typing Profile// ENGINEERING SYSTEMS & ARCHITECTURE
Interactive Developer Terminal & IDE
Explore the source code, hardware-aware runtime loops, and distributed graph pipelines behind my flagship engineering systems.
| 1 | package main |
| 2 | |
| 3 | import ( |
| 4 | "context" |
| 5 | "fmt" |
| 6 | "log" |
| 7 | "net/http" |
| 8 | "os" |
| 9 | "os/signal" |
| 10 | "syscall" |
| 11 | "time" |
| 12 | |
| 13 | "github.com/omprakash-p06/helix-cli/pkg/hardware" |
| 14 | "github.com/omprakash-p06/helix-cli/pkg/runtime" |
| 15 | "github.com/omprakash-p06/helix-cli/pkg/server" |
| 16 | ) |
| 17 | |
| 18 | func main() { |
| 19 | ctx, cancel := context.WithCancel(context.Background()) |
| 20 | defer cancel() |
| 21 | |
| 22 | // Hardware-aware acceleration probe |
| 23 | caps := hardware.DetectCapabilities() |
| 24 | fmt.Printf("[helix] Hardware: %s (VRAM: %d MB, Compute: %s) |
| 25 | ", |
| 26 | caps.DeviceName, caps.TotalVRAM/1024/1024, caps.Backend) |
| 27 | |
| 28 | engine, err := runtime.NewInferenceEngine(&runtime.Config{ |
| 29 | Backend: caps.Backend, |
| 30 | MaxContextLen: 8192, |
| 31 | Threads: 8, |
| 32 | Quantization: "Q4_K_M", |
| 33 | OffloadLayers: caps.OptimalOffloadLayers(), |
| 34 | }) |
| 35 | if err != nil { |
| 36 | log.Fatalf("[fatal] failed to load inference engine: %v", err) |
| 37 | } |
| 38 | defer engine.Close() |
| 39 | |
| 40 | srv := server.NewGateway(engine, ":8080") |
| 41 | go func() { |
| 42 | if err := srv.Start(); err != nil && err != http.ErrServerClosed { |
| 43 | log.Fatalf("[fatal] http gateway error: %v", err) |
| 44 | } |
| 45 | }() |
| 46 | |
| 47 | sigChan := make(chan os.Signal, 1) |
| 48 | signal.Notify(sigChan, syscall.SIGINT, syscall.SIGTERM) |
| 49 | <-sigChan |
| 50 | |
| 51 | shutdownCtx, sCancel := context.WithTimeout(ctx, 3*time.Second) |
| 52 | defer sCancel() |
| 53 | srv.Shutdown(shutdownCtx) |
| 54 | fmt.Println("[helix] Clean shutdown completed.") |
| 55 | } |
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Technical Stack & Engineering Specializations
Production systems, autonomous agent frameworks, and distributed container architectures sourced from my resume.
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