Systems-First Architecture
Establish strict database schemas, API contracts, and failure boundaries prior to client execution.
Backend-focused full-stack developer (Node.js, TypeScript, PostgreSQL) designing and shipping complete applications end to end: schema design, REST APIs, authentication, tenant isolation, and deployment. Open to roles in Delhi NCR and remote.

Representing engineering identity through structured schemas, strict typing, and fault-tolerant pipelines.
I'm a full-stack developer and backend engineer based in New Delhi, India working primarily with Node.js, TypeScript, PostgreSQL, Express, and Next.js 15. Originally from Nepal, I am 100% legally authorized to live and work across India without visa sponsorship or a work permit under the 1950 Indo-Nepal Treaty of Peace and Friendship, and am actively available for roles in Delhi NCR or remote.
My engineering strategy is systems-first: define rigid database models, enforce schema validation, and architect fallback paths before writing UI code. I've shipped production systems including AST static analysis review agents, vector similarity search with pgvector, and resilient multi-model LLM streaming pipelines.
In AI engineering, I pair probabilistic models with software controls: grounded retrieval, schema guardrails, bounded outputs, and explicit fallback behavior that makes failure visible and testable.
Establish strict database schemas, API contracts, and failure boundaries prior to client execution.
Bridge complex client state with typed backend endpoints and make data-shape failures easier to detect.
Architecting secure authentications, rate limiting, MongoDB & PostgreSQL transactions, and caching.
Grounded retrieval pipelines and multi-tier LLM fallback routers that bound failure and preserve context.
Technologies verified through real-world deployment, typed contracts, and measurable throughput.
Real-world architectures structured around Problem, Solution, Key Decision, and Frontend Implementation.
Multi-Tenant B2B SaaS for Autonomous AI Workflow Agents
“Multi-tenant AI SaaS platforms often rely on leaky application-level tenant filters and fragile, stateless LLM executions that fail silently or leak confidential data across organizational boundaries.”
“Architecting a backend-heavy, multi-tenant platform in a Turborepo monorepo with PostgreSQL Row-Level Security, Inngest durable workflows, human-in-the-loop approvals, and schema-guarded tool loops.”
Enforced tenant isolation at the database layer via PostgreSQL Row-Level Security (RLS) and orchestrated durable, resumable step executions with Inngest.
Architected organization workspace in a Turborepo monorepo featuring human-in-the-loop agent review queues, audit logs, and tenant isolation dashboards.
Postgres RLS
DB Tenant Isolation
Inngest
Durable Runs
Zod-Guarded
Agent Tool Loop
Autonomous PR Security & Code Review Agent
“Most AI PR reviewers hallucinate syntax and miss security vulnerabilities because they lack runtime static analysis and test validation.”
“Empirical tool-calling review loop that executes AST linters and vulnerability scanners before synthesizing 1-click GitHub PR review comments.”
Engineered a three-path model router (Groq Llama 3.3, Gemini 2.5 Flash, and deterministic AST rules) so provider failures have an explicit fallback path.
Designed the dashboard experience around traceable review states, exposing agent steps, PR simulation, and review evidence without hiding the backend verification flow.
3-Tier
Failover Router
5 Max
Agentic Loop Cap
AST-Verified
Syntax Assurance
Cognitive EdTech Platform With Persistent Memory & pgvector RAG
“Generic AI chatbots forget student weak areas between sessions and hallucinate answers on complex syllabus materials without grounding.”
“End-to-end cognitive workspace pairing long-term student memory profiles in Supabase with pgvector document grounding and an independent verification audit layer.”
Chose self-hosted pgvector inside PostgreSQL over external vector databases to eliminate cold starts and keep user data and vector embeddings in a single atomic transaction.
Built the learning workspace around authenticated Next.js/React flows that connect upload, memory, verification, and spaced-repetition states to typed backend responses.
pgvector
Syllabus Grounding
SM-2
Spaced Repetition
7 Engines
Cognitive Core
Publishing Platform With Verified Accounts & Schema-Guarded AI Writing Tools
“Publishing apps with AI features usually trust model output blindly and skip the operational basics: verified accounts, transactional email, crawlable rendering, and migration-safe deploys.”
“Two-service platform (Next.js on Vercel, Express/Prisma/PostgreSQL on Render) with server-rendered public pages, email-verified accounts, and Gemini tools whose structured output is schema-validated before it reaches the editor.”
Treated the LLM as an untrusted dependency: JSON-mode requests, Zod-validated output, normalized tags, hard timeouts, and a single uniform failure path so provider errors never leak to users.
Server-rendered public reading pages with ISR, per-page metadata and dynamic social cards, plus a client-side writer workspace with markdown preview, draft autosave, and AI assist panels on a tokenized dark/light design system.
Zod-Guarded
AI Output Contract
SSR + ISR
Public Reading Surface
CI-Gated
Tests on Every Push
A four-stage delivery process that makes assumptions explicit, validates behavior, and keeps failure modes visible.
Map data flows, failure modes, rate limits, and latency budgets before writing code.
Model database schemas, establish strict JSON schema contracts, and architect fallback routers.
Develop vertical slices with full TypeScript type-safety, robust validation, and clean state handling.
Continuous deployment with edge caching, automated build validation, and uptime telemetry.
Track record of shipping production APIs, AI workflows, and type-safe web applications.
Design, build, and deploy full-stack applications end to end across Next.js (Vercel) and Express (Render) with PostgreSQL (Prisma) and MongoDB, owning schema design, REST APIs, authentication, CI, and production deployment.
Completed practical diploma training in full-stack engineering focused on API engineering, database schema modeling, protected authentication flows, and deployment patterns in India.
Formal software engineering foundation and industry-standard technical accreditations.
Professional Engineering Training
Vcare Technical Institute
Rigorous practical engineering diploma covering Node.js, Express.js, React, MongoDB, REST APIs, database modeling, and production deployment patterns in India.
Core Focus & Topics
Class XII Science Equivalent
Kailali Multiple Campus
Formal academic foundation in physical sciences, advanced calculus, physics, and computational reasoning in Nepal.
Core Focus & Topics
Applied Self-Directed Engineering
Project-Based Engineering Practice
Architecting and shipping production-focused platforms including Sovereign (Multi-Tenant B2B SaaS on PostgreSQL RLS), Chronicle (two-service publishing platform), and DevGuard AI (autonomous GitHub code review agent).
Core Focus & Topics
For full-stack, distributed backend, and AI infrastructure work, send a concrete problem or role brief.