💫 About Me 🎓 B.E. Computer Science @ JSS Academy of Technical Education, Bengaluru ⚙️ Building production-grade systems with Go, Rust, FastAPI & Next.js 🦀 Systems programming in Rust — PyO3 bindings, Rayon parallel processing 🧩 Clean Architecture advocate — DDD, RBAC, and type-safe API design 🐧 Fedora daily driver | ⚔️ DSA grind in C++ 🚀 Obsessed with perf: benchmarks, k6 load tests, N+1 hunts 🛠 Tech Stack 📫 Connect

Full-Stack Academic Performance Analytics Platform

Full-stack academic ERP with RBAC, AI-driven insights, and automated university data ingestion. Refactored from a legacy v1 to a modern stack, achieving a 32× throughput increase (1.84 → 59.6 RPS, avg response 2,840 ms → 158 ms) — verified by k6 across 120+ concurrent requests.

• 🦀 Rust PDF Engine — published as acatrack-pdf-parser-rs on PyPI · 38.4× faster (21.78 min → 34 sec, 1,308 PDFs) · 71.5% lower memory
• ⚡ Redis caching + N+1 elimination + DB connection pooling: 42 → 5 avg connections, 100% success rate
• 🔐 RBAC: Student, Parent, Mentor/Staff, Admin portals — each with role-scoped dashboards
• 🤝 HeyAPI generated TypeScript SDK — 100% type-safe frontend↔backend contract
• 🌐 Multi-language: English, Hindi, Kannada · Wails desktop scraper: Go + React, CSRF bypass, interactive CAPTCHA flow, headless chromedp PDF printing → ZIP archive · binary releases via CI
• 📦 726 commits · 55 merged PRs across feature, arch, perf, and fix branches

FastAPI React Rust PyO3 Rayon PostgreSQL Redis Docker Supabase SQLAlchemy

Published Rust PDF Parsing Engine — Available on PyPI

Native Rust library for parsing university result PDFs, extracted from AcaTrack into a standalone published package. Installable with pip install acatrack-pdf-parser-rs — no Rust toolchain needed.

• ⚡ Rayon parallelization: GIL-free multi-threaded extraction with CPU core saturation
• 🧮 Mathematical verification: algebraic checksum (IA + SEE = Total) guarantees 100% parsing accuracy
• 🛡️ Spacing-robust digit concatenation: reconstructs visually fragmented columns (e.g. "4" + "5" → 45)
• 📐 Dual-tier fallback: clean column scan → flat text scan for layout-resilient parsing
• 🔍 FFI telemetry: streams granular Rust execution logs back to Python for diagnostics
• 🤖 CI/CD: automated PyPI releases via GitHub Actions + Maturin · MIT licensed

Rust PyO3 Rayon Maturin PyPI GitHub Actions

Pragmatic Clean Architecture in Go

Production-ready Go backend template with strict Clean Architecture, OpenAPI-driven development, and full test coverage via the "Aura" hierarchy (Handler → Service Interface → Store Interface).

• 📄 OpenAPI-first: spec → server stubs auto-generated via oapi-codegen
• 🗄️ Type-safe DB: sqlc generates Go from raw SQL · pgx/v5 for connection pooling
• 🧪 Full test suite: unit tests with Mockery mocks + integration tests against real DB
• 📚 Swagger UI at /docs · CI via GitHub Actions · live-reload with Air
• 📋 Zerolog structured logging · Viper config management

Go PostgreSQL sqlc pgx Docker OpenAPI oapi-codegen Mockery Zerolog

High-Performance Rust Image Processing Library with Python Bindings

Rust library for ML data pipelines. Processes image batches in parallel and returns results as NumPy arrays — zero-copy, ML-ready output with structured tracing out of the box.

• ⚡ Rayon par_iter for multi-core parallel batch processing across all available CPU cores
• 🐍 PyO3 bindings: call Rust natively from Python as iris_bridge_py
• 🖼️ Auto-resize to 224×224 (Lanczos3) + normalize pixel values to [0, 1]
• 📦 Returns Array3<f32> → Python np.ndarray directly, eliminating serialization overhead
• 🔍 #[instrument] spans for span-level timing diagnostics via tracing

Rust PyO3 Rayon NumPy ndarray tracing