At Lawvriksh, I integrated Next.js frontend pages with FastAPI backend services. Independently, I build practical tools like VeriVox LedgerDocs to transform PDFs into conversational systems, and Komi Extension to automate Git tasks using speech recognition.
Deep dive into a professional full-stack role demonstrating shipping real-world product workflows and production systems engineering.
Stepped directly into a fast-paced environment to build and deploy critical capabilities for a production document intelligence SaaS platform. Collaborated in an agile workflow, taking ownership of customer-facing dashboards and integrating complex Next.js features with high-throughput FastAPI endpoints. Gained deep exposure to developer operations, automated code delivery pipelines, and professional team workflows.
A narrative of engineering milestones, from initial styling grids to coordinating asynchronous client states in a professional team.
Ignited a passion for responsive layout design. Focused heavily on HTML/CSS precision, standard layout grids, and clean visual typography.
Reached beyond client layouts. Integrated Node.js, Express, and FastAPI to construct structured database models and manage asynchronous data flows.
Moved to building interactive products. Focused on developer libraries, performance optimization (Lighthouse/CWVs), and user-centric features.
Joined LawVriksh as an intern. Gained experience coordinating code reviews, resolving compiler type gaps, and optimizing dashboard user experiences.
A structured ecosystem of frontend frameworks, backend engines, and intelligent integrations connected directly to the production projects where they are applied.
Powers reactive component states and rich interactive web views.
Handles Server Components, static routes, sitemaps, and assets optimization.
Enforces static types, preventing runtime client-server interface failures.
Accelerates responsive layouts via standard utility-first CSS utility classes.
Executes GPU-accelerated micro-interactions, spring layouts, and page reveals.
My primary full-stack engineering release: A private, fully local intelligence assistant designed to parse, index, and conduct semantic Q&A over heavy legal agreements.
Handles chunked parsing of large PDF structures on local resources. Extracts structured layouts and tables, converting raw documents into clean semantic data frames.
A curated archive of full-stack platforms and tools designed to solve specific data, location-tracking, and system orchestration requirements.
An AI clinical copilot designed to reduce healthcare documentation overhead. The system assists healthcare professionals by generating structured SOAP notes from consultations and medical language understanding.
Automates structured SOAP note generation from audio transcripts.
Offline emergency and disaster response platform designed to operate without internet connectivity. Provides emergency guidance, hazard awareness, first-aid support, and decision assistance.
Provides 100% offline emergency workflows and rule-based decision engines.
A real-time messaging platform built to explore scalable communication systems, authentication workflows, media sharing, voice notes, and modern backend architecture.
Coordinates real-time message sync with low latency socket connections.
Always-on, wake-word activated, voice + command-palette DevOps copilot for Git & GitHub automation powered by Google Gemini.
Translates natural language intent into structured local Git and remote API commands.
Continuous growth in action. Below is the active product roadmap for personal tools and API features currently undergoing design or system testing.
Adding multi-format legal document chunking support and optimized metadata-filtered queries within the FAISS indexing layer.
Engineering low-latency peer-to-peer data syncing with local message queue caching and secure E2E encryption handshakes.
Defining secure shell actions and structured system status prompts for offline Llama.cpp agents to execute during network isolation.
Access credentials, engineering skills summaries, and academic benchmarks.
Equipped with real-world internship experience, a deep focus on Next.js frontend performance, and backend schema structures. Download my complete CV to inspect detailed course projects, academic grades, and frameworks profiles.
Have a project in mind, an open full-stack role, or looking to hire a freelance developer? Reach out through any channel below.