My focus?I build systems that scale.
For the past 5+ years, I've been obsessed with engineering fast, scalable, intelligent web systems that solve actual business problems, not just render pixels.
Engineering with
Precision.
My journey as a Software Engineer is driven by a passion for building systems that are not only functional but feel intuitive and premium. Over the last 5+ years, I've engineered solutions ranging from real-time assessment platforms to complex AI integrations.
I don't just write code; I design architectures that scale. Whether it's improving web performance by 40% or building a real-time chat infrastructure for thousands of users, I focus on the intersection of beautiful design and bulletproof engineering.
Performance Focused
Optimizing Core Web Vitals to deliver lightning-fast, smooth user experiences.
AI & Systems Builder
Designing RAG chatbots and scalable systems that integrate AI seamlessly.
Problem Solver
Tackling complex engineering challenges with clean, maintainable architecture.
How I Think.
Frameworks come and go, but the engineering mindset remains. Here is what separates me from the average developer.
Self-Evident Architecture.
Good code is documented. Great code is self-evident. I architect highly decoupled, predictable module structures that the next engineer can inherently understand without a manual.
Performance First.
Every millisecond counts. I strictly manage bundle sizes and Web Vitals.
Product Mindset.
I don't just execute JIRA tickets. I actively bridge the gap between business strategy and execution.
AI-First Engineering.
We are moving past static forms. I integrate LLMs, semantic vector search, and edge computing to build autonomous systems that solve fundamentally human workflows at scale.
Impact & Engineering.
I don't measure my success by tickets closed, but by the tangible business metrics moved. Here is what I built.
Tech Innovators
Architected a global state and React rendering cycle overhaul for the primary SaaS platform, stripping out massive bottlenecks and dropping Time-To-First-Byte by 40% globally. Led the adoption of Framer Motion and strict modern UI guidelines across a team of 4 engineers.
Startup Co
Built a high-performance real-time chat infrastructure using WebSockets and Redis. Designed a highly scalable architecture that reliably streamed chat events to thousands of active organic users without latency spikes. Single-handedly developed 'PinSpy', a heavily adopted Chrome extension.
Behind The Code.
Anyone can build a feature. I focus on the architecture underneath. Here is a look at the technical decisions that drove my biggest projects.
ZEUS Assessment Engine
A high-stakes AI proctoring and assessment platform. Required engineering a custom WebRTC video streaming pipeline to handle real-time AI feeds from thousands of clients simultaneously without bottlenecking the ingestion servers.
Shifted from standard HTTP polling to a highly scalable Redis Pub/Sub WebSocket mesh. This sacrificed initial development velocity but reduced production server load by 80%, preventing critical crashes during massive concurrent exams.
RAG GenAI Platform
Enterprise chatbot framework built to ground LLM hallucinations using high-speed semantic search over massive corporate vector databases.
Opted for edge-streaming HTTP responses to reduce perceived latency to <200ms, heavily improving UX at the cost of managing complex client-side async chunks.
PinSpy Extension
A high-performance Chrome extension actively intercepting and analyzing complex DOM trees at scale.
Stripped out heavy React renderers in favor of raw Vanilla JS tree-walkers within the content scripts, guaranteeing 0-impact on the user's native browsing frame rate.
AI + Innovation.
I don't just use APIs. I engineer the underlying infrastructure required to deploy safe, scalable, and highly interactive AI features into production environments.
RAG & Vector Search
Implemented enterprise-level Retrieval-Augmented Generation using Pinecone and LangChain. Reduced LLM hallucinations to near zero while maintaining <300ms query latency.
Real-Time Proctoring
Engineered deep learning inferences on live WebRTC streams for ZEUS to track gaze and detect anomalies autonomously.
Agentic Automation
Built autonomous workflow agents chaining multiple specialized LLMs to execute complex data-parsing tasks without human intervention.
Streaming Responses
Architected edge-native streaming pipelines mapping OpenAI server-sent events directly into React Server Components for highly responsive UIs.