Technical Ecosystem
A comprehensive bento grid of tools, engines, frameworks, and architecture principles I use to build scalable systems.
The Architect's Mindset
As a Founding Engineer at TheNoah.ai, I own critical platform infrastructure. I thrive at the intersection of complex backend logic and cutting-edge AI, designing systems that process millions of rows through real-time WebSockets and Apache Spark streaming engines.
I believe in writing observable, resilient code that minimizes roundtrips, handles network partitions gracefully, and abstracts intricate AI mechanics into frictionless user workflows.
Core Backend
Java (Spring Boot), Node.js (Express), Python (FastAPI)
AI & NLP
50+ LLM Integration, Text-to-Query, LangChain, Domain Fine-Tuning
Databases & Lakes
MongoDB, Redis, MySQL, PostgreSQL, Snowflake, Databricks
Big Data & Spark
Apache Spark Streaming, Batch-Failure Recovery, High-Throughput Ingestion
Security & Authentication
Zero TrustOAuth 2.0, Fine-Grained RBAC, JWT Claims, Rate Limiting, Secure WebSocket Channels
Frontend UI
React, Next.js, TailwindCSS, Framer Motion, GSAP, Recharts
Tooling & Ops
Git, Docker, CI/CD, Postman, Linux, Microfrontends
Engineering Principles
Non-negotiable architectural tenets applied to all production systems.
High-Throughput & Fault Tolerance
Architect systems with automated batch-failure recovery, stream partitioning, and backpressure management.
Zero-Trust Security & RBAC
Enforce principle of least privilege, token rotation, strict claim validation, and end-to-end payload sanitization.
Polyglot Execution
Selecting the right tool for the job - Spring Boot for transactional microservices, Node.js for real-time engines, and Python for AI pipelines.
Database Direct Control
Prefer native client drivers (e.g. MongoClient) over heavy abstraction layers to hand-tune indexes and optimize query execution plans.