Projects

AI / RAG

PG RAG

Architected a complete RAG (Retrieval-Augmented Generation) pipeline using LlamaIndex to orchestrate document ingestion, vector indexing, and LLM generation.
Implemented an Intelligence Layer for query rewriting and intent detection, allowing the system to handle complex multi-turn conversations and clarify user intent.
Engineered a high-performance vector retrieval system using FAISS and HuggingFace embeddings for sub-50ms semantic search across thousands of text chunks.
Developed a responsive Next.js 16 frontend with real-time streaming (NDJSON) and a minimalist, glassmorphic UI providing a premium ChatGPT-like experience.
Orchestrated local and cloud LLMs (Ollama, OpenAI) via a FastAPI backend, handling asynchronous event streams for low-latency interactions.

LlamaIndexFastAPIFAISSPythonOllamaNext.js 16Tailwind CSS 4

Backend

Built a modular NestJS backend for a social platform with dedicated auth, posts, comments, likes, feed, profile, email, and shared infrastructure layers backed by PostgreSQL as the system of record.
Implemented secure authentication with JWT access tokens, HTTP-only refresh token rotation, session caps, token reuse detection, soft-delete account revocation, Google OAuth 2.0 sign-in, and SHA-256 hashing of stored login IP metadata.
Designed pull-based public and follower feed APIs with cursor pagination, Redis-backed caching, and Prisma query patterns that return author metadata and interaction counts without feed fan-out duplication.
Engineered Redis-backed platform infrastructure for distributed rate limiting, cacheable profile and content reads, and BullMQ worker processing for asynchronous welcome email jobs.
Offloaded CPU-heavy bcrypt hashing and password verification to a piscina worker-thread pool to keep request handling responsive under concurrent authentication load.
Validated production-critical behavior through Jest E2E coverage for auth, posts, comments, likes, feeds, rate limiting, cursor pagination, soft-delete flows, and worker-pool concurrency.

TypeScriptNestJSPostgreSQLRedisPrismaBullMQPiscina (Workers)Jest E2E

Full Stack

Built a real-time multiplayer Tic-Tac-Toe game using Nakama as the authoritative game server to ensure game state integrity and prevent client-side cheating.
Implemented a secure Node.js proxy layer to handle authentication and protect sensitive server keys, acting as a gateway between the Next.js client and the Nakama backend.
Engineered real-time communication using WebSockets for sub-100ms latency, enabling seamless move synchronization and instant match state updates.
Designed a sleek, responsive glassmorphic UI using Tailwind CSS 4, providing a premium and modern user experience across different devices.
Integrated Nakama's matchmaking system to allow users to find opponents instantly or join specific matches via unique room IDs.
Orchestrated the entire development and production environment using Docker and Docker Compose, ensuring consistent behavior across different deployment targets.

TypeScriptNext.jsNakamaNode.jsDockerPostgreSQLTailwind CSS

Full Stack

Architected a normalized PostgreSQL schema prioritizing relational integrity and long-term analytical correctness.
Designed and optimized aggregation-heavy SQL queries computing training volume and progression metrics with sub-120 ms response latency.
Focused on indexing strategy, query planning, and efficient data access patterns for responsive analytics workloads.

Next.jsNode.jsPostgreSQLPrismaAuth.js / JWT

Full Stack

Developed a multi-tenant backend enforcing strict tenant-aware data isolation and predictable CRUD semantics.
Implemented OAuth-based authentication with hardened session handling and explicit security boundaries.
Designed application logic emphasizing correctness, concurrency safety, and deterministic behavior under shared infrastructure.

Next.jsNode.jsPostgreSQLPrismaAuth.js / JWT