GitHub

✨ Content Intelligence Hub

AI-powered content curation with dual-scoring system

Apache AirflowCloud RunBigQueryGemini AIFastAPI
📄 Feed Source (OPML) 📖 Technical Deep Dive
Content Intelligence Architecture

đŸ”Ĩ The Problem

As a software engineer, I was drowning in 500+ tech articles daily from 50+ sources. 99% were noise.

💡 The Solution

Built a dual-scoring system combining personal relevance (LLM) and community validation (engagement metrics).

🤖 Personal Relevance Gemini LLM analyzes if YOU should care.
đŸ‘Ĩ Community Validation Aggregates social signals (HN, Lobsters) to determine value.
Loading content...

🤖 AI Data Assistant

Ask about any content in your feeds...

Hi! I'm your AI research assistant. I've analyzed all the articles in your configured feeds. Ask me anything!

Results (Last 7 Days)

...
Articles Analyzed
...
High Value Reads
...
Hours Saved

🔍 LLM Code Review Observability

AI-powered code review with comprehensive monitoring pipeline

RAG ArchitectureDatadogGCPCloud RunVertex AILLM Ops
📝 Blog Post
LLM Observability Architecture

đŸ”Ĩ The Problem

Code review LLMs operate as black boxes. When they make mistakes or get slow, teams have no visibility into why.

💡 The Solution

Built end-to-end observability pipeline tracking RAG performance and safety guardrails.

đŸŽ¯ RAG Accuracy Embedding quality, retrieval relevance, and hallucination checks.
🛡ī¸ Safety Guardrails Detects toxicity, PII leaks, and generation risks.

*Implements Parallel Observability using BigQuery & Google Cloud Trace.

🔴 Live Observability

Source: Live telemetry queried directly from llm_observability.metrics table in BigQuery.

Recent Repo Activity

Fetching latest commits...

...
Total Reviews
...
Avg Cost
...
Latency (P50)
...
RAG Quality

👋 About Me

Background

With extensive/specialized experience in backend systems, data engineering, and cloud infrastructure. Currently focused on building scalable distributed systems, AI/ML applications, and modern data stacks.

Technical Expertise

Architecture & Design

Distributed Systems, Microservices, Event-Sourcing, Event-Driven Architecture, System Design, Scalability, High Availability

Data Engineering

Apache Beam, Apache Spark, Apache Airflow, BigQuery, Databricks, Dataflow, Data Warehouse, Data Lakehouse, Stream/Batch Processing

Cloud Native & DevOps

GCP, Kubernetes (GKE), Terraform (IaC), Docker, CI/CD pipelines, Observability (Datadog/OpenTelemetry)

AI/ML Engineering

LLM Integration, RAG Pipelines, Vector Databases, Vertex AI, Gemini API, Prompt Engineering

Languages

Java, Python, SQL, C/C++, Bash, Go, JavaScript/TypeScript

Leadership

Technical Strategy, PoC/MVP experiments, System Architecture Reviews, Mentorship, RFCs/Design Docs, Agile Methodologies

Let's Connect

GitHubMediumEmail