BUILDING SOFTWARE.
EXPERIMENTING WITH AI.
THE GRAND LINE ROUTES
Every mission logged. Every jutsu deployed.
ArthaX
Virtual banking simulation & double-entry transactional engine
A unified financial platform modeling banking, investing, payments, rewards, and commerce with a double-entry ledger architecture to enforce immutable accounting consistency across every transaction.
ReachBox
Automated queue-based campaign pipeline & delivery analytics
A high-throughput outreach engine orchestrating automated communication workflows, BullMQ Redis background job scheduling, rate-limited email delivery, and bounce telemetry.
DocTalk
Grounded multimodal document Q&A and intelligence workspace
An AI-powered document intelligence workspace allowing users to upload dense documents and interrogate them with grounded natural language queries powered by Google Gemini, Supabase persistence, and fluid GSAP interfaces.
Deterministic Stacks & Verified Invariants
Rigorously proven across production codebases. Categorized by operational depth rather than synthetic percentages.
Component architecture & reactive state orchestration
Server components, App Router & edge rendering
End-to-end static typing & strict interface contracts
Utility-first design tokens & responsive design
Modern ES2024 runtime & async execution models
ScrollTrigger pinning & timeline choreography
Physics-based micro-interactions & layout animations
Minimalist, unopinionated client state management
Core frontend library used across 10 portfolio applications, from fintech platforms to AI interfaces.
Click to explore all 26 remaining production technologies and tools.
Changelog of Impact & Engineering Velocity
A verifiable record of technical ownership and academic foundations. No inflated claims.
Full-Stack & AI Systems Architect
Independent Systems & Portfolio Labs
- Architected ArthaX double-entry ledger enforcing strict debit/credit mathematical invariant with 0% balance drift across simulated multi-party transactions.
- Engineered ReachBox high-throughput email pipeline with Redis-backed BullMQ queues and automated delivery telemetry.
- Built DocTalk multimodal document interrogation workspace using Google Gemini and Supabase with sub-800ms context retrieval.
• Prisma schema design with strict relational foreign keys and database transactions for atomicity.
• Dockerized microservice local environment with automated BullMQ queue recovery on worker crash.
B.Tech in Computer Science & Engineering (AI & ML)
CMR University
- Specialization in Artificial Intelligence, Machine Learning, and Distributed Computing.
- Coursework in Data Structures & Algorithms, Database Systems, Computer Networks, and Neural Network Architectures.
- Maintained consistent academic record while actively deploying production software applications.
About Me
Full-stack engineer crafting clean, deterministic systems and polished digital products.
Software engineer focused on clean architecture and high-leverage systems.
I build end-to-end applications with React, Next.js, TypeScript, and modern AI pipelines. I prioritize simplicity, robust system design, and interfaces that feel effortless to use.