📍 India | 🦀 Rust Specialist | 📉 Quant Infra | 💰 Low-Capex AI

Systems Architect specializing in cutting runtime execution speeds and cloud infrastructure overhead simultaneously. I bridge the gap between bare-metal performance engineering (Quant feeds, Lock-free systems) and ultra-low-cost enterprise systems (Local LLMs, Local-first big data analytical engines).

Development of high-throughput data pipelines, custom low-overhead infrastructure setups, and trading companion applications.

• Quant Market Data Ingestion Engine: Architected an asynchronous, multi-threaded market data processing engine in Rust to ingest live National Stock Exchange (NSE) MBP2 Level 2 tick and index feeds under intense peak market volatility.
• Zero-Allocation Ingestion: Designed a lock-free, zero-allocation ring buffer streaming raw network packet bytes directly into RAM. Leveraged SIMD (Single Instruction, Multiple Data) vectorization and custom binary byte-stream parsers to compress processing jitter into sub-millisecond ranges.
• Local-First Analytics Framework: Replaced heavy, recurring cloud data-warehouse configurations with an embedded, local-first analytical engine featuring DuckDB, SQLite, and Zstd block compression. Shrinks time-series memory and storage footprints by 80-85%, enabling million-row analytical queries instantly on consumer-grade hardware.
• Low-Capex AI Document Intelligence: Engineered an enterprise-scale document extraction system using custom OCR pipelines integrated directly into local LLM models. Replaced external multi-dollar-per-document cloud APIs with near-zero-cost local compute processing nodes.
• Strategy Backtesting Suite: Programmed a modular machine learning backtesting engine with walk-forward validation parameters, compiling historical trading weight variants into hyper-optimized processing segments using XGBoost and linear regressions.
• Cross-Platform Performance Dashboards: Rolled out cross-platform analytical platforms for Windows, macOS, and Android using Rust, Tauri, and Preact. Employed customized binary serialization protocols to visualize rapid portfolio signals without blocking processing loops.
• Enterprise Financial Engineering: Shipped high-impact Power BI analytical layouts (optimizing complex DAX equations and row-level filtering architectures) and Power Apps solutions using custom Power Apps Component Framework (PCF) tools, accelerating internal asset transaction performance while saving massive backend processing capacities.

Infrastructure modernization audits, microservices optimization, and decoupling technical debt blocks.

• Infrastructure Audit & Bills Reduction: Assessed complex, legacy corporate cloud networks, mapping structural deficiencies and applying optimized data execution routines spanning Vue.js, Java, and MERN setups to cut cloud processing costs significantly.
• Technical Debt Cleanups: Standardized deployment gates by injecting automated SonarQube and SonarCloud continuous integration testing steps over highly distributed microfrontend and microservices frameworks, ensuring strict memory containment, explicit thread-safety rules, and minimal post-release bug fixing.
• Modern Service Architecture: Spearheaded design principles across decoupled modules and low-latency delivery micro-architectures, lifting development cycle velocity while isolating critical production services.

Large-scale microservices migration, parallel execution engineering, and business portal management.

• Core Systems Rewrites: Orchestrated the clean architectural overhaul of large-scale, high-concurrency client portals from legacy frontend stacks (AngularJS to Angular 10; Vue 2 to Vue 3), removing deeply rooted memory allocation leaks and decreasing application crash frequencies.
• Parallel Execution Handling: Displaced standard blocking backend network communication iterations by developing highly concurrent asynchronous event routers communicating through GraphQL APIs and Azure microservices solutions.
• Automated Workflow Tooling: Built highly resilient distributed systems integrating secure Key Vault structures, Azure Blob storage spaces, and AI-agent workflow configurations, allowing corporate platforms to double client operational limits without expanding human administrative support overhead.

Localization development and low-latency real-time asset metric dashboards.

• Business Intelligence UIs: Built specialized, localized network traffic monitoring layouts within Angular 8, optimizing asset compiling sizes and designing explicit asynchronous data pathways to update massive operational metrics cleanly.
• Real-Time Data Feeds: Delivered interactive admin tracking control centers, transforming complex, distributed telemetry data arrays into fast, actionable business management perspectives.

Automated vendor financial engines and high-volume data serialization pipelines.

• Mathematical Costing Modules: Conceived and written internal algorithmic verification models to automate complex supplier cost profiling configurations, optimizing net commercial margins.
• High-Throughput Node Serialization: Built optimized network serialization transport layers leveraging gRPC over HTTP/2 and Node.js microservices, minimizing messaging latency and lowering AWS payload transmission bills.
• Microfrontend Infrastructure: Designed and deployed scalable Single-SPA microfrontend patterns using Angular, NgRx, and AWS server configurations to secure modular enterprise architectures.

Runtime execution engineering, landing engine construction, and load performance balancing.

• Lighthouse Performance Optimization: Engineered customer-facing web services and digital distribution capture assets, auditing application architectures using automated profiling tools to achieve top runtime speeds, strong search positioning, and minimized system drag under traffic surges.

Transactional layout structures and email pipeline assembly.

• Email Engine Implementations: Constructed fluid HTML notification pipelines validated to execute across all enterprise email client visualization layouts.
• Legacy Application Performance Refactoring: Overhauled aging enterprise web views, applying performance tuning methodologies to recover memory allocation blocks and increase responsiveness.

• Rust Binary Optimization: Zero-allocation parsers capable of processing continuous data limits under sub-millisecond thread execution constraints.
• Storage Engineering Focus: Shifting cloud database overhead into zero-maintenance local DuckDB/Parquet frameworks, reducing enterprise data retention overhead by up to 85%.
• UI Frame Consistency: Rebuilding old UI engines to hit strict 60 FPS rendering cycles with zero memory growth over prolonged runtime.

If you are looking to build insanely fast systems, optimize a heavy data pipeline, or crush your monthly cloud compute costs by migrating to a performance-focused local-first stack, let's talk.

• 💻 GitHub: github.com/offline-pixel
• 👔 offline pixel: https://offline-pixel.github.io/
• 💼 Inquiries: offline-pixel