SP

Sai Phanindra

Software Engineer

India
Learning:AI Systems & Infra

Backend and platform engineer building distributed systems and developer platforms. I enjoy solving complex engineering problems and designing systems that enhance automation, reliability, and developer productivity.

Technology Stack

Languages and Backend

Python
Go
JavaScript / TypeScript
Gin
Node.js (Express)
FastAPI

Cloud & Platform Engineering

AWS
Docker
Kubernetes
Terraform (Infrastructure as Code)
CI/CD Pipelines (GitHub Actions, Jenkins)
Backstage (Internal Developer Platform)

Data Systems & Distributed Streaming

PostgreSQL (OLTP)
MongoDB
Redis ( Caching)
Apache Kafka (Event Streaming)
RabbitMQ (Message Broker)
ClickHouse (OLAP)
Snowflake (Data Warehouse)

Experience

Celigo

Celigo

Built a self-healing REST API platform using LLMs and vector search, cutting manual maintenance by 50% and boosting auto-healing success by 60%.
Architected a microservices framework for 50+ services with a three-command setup for local and AWS Dev/QA deployments.
Created a self-service developer portal with Micro Frontend and microservices, enabling independent service management.
Built a centralized anomaly detection service for 40+ microservices, enabling early detection and proactive resolution.
Assisted in developing backend services and RESTful APIs
Implemented features and bug fixes following clean code practices
Wrote unit and integration tests to ensure service reliability
Worked with databases and production systems under mentorship
Participated in agile ceremonies including stand-ups and sprint planning

Featured Projects

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pg_vitals terminal dashboard showing live PostgreSQL performance metrics, active queries, and database insights

Open Source

pg_vitals

Modern terminal UI for live PostgreSQL performance analysis. Monitors multiple databases at once with real-time views for activity, slow queries, locks, indexes, memory, and safe EXPLAIN plans. Built on Textual and async psycopg 3 with per-target connection pools and background refresh workers for a responsive UI.

PythonTextualpsycopg 3+5
SafeStream dashboard showing live YouTube chat moderation, AI verdicts, and stats

Open Source

SafeStream

AI-assisted YouTube live chat moderation stack. Monitors live chat in real time, applies customizable moderation rules using pluggable AI backends (OpenAI, Gemini, LM Studio), and provides a secure dashboard for managing sessions. Designed for local, Electron, or server deployment with strong security defaults.

Node.jsElectronLangGraph+3
SafeStream dashboard showing live YouTube chat moderation, AI verdicts, and stats

Live · Code

techdigest

Minimal open-source RSS feed aggregator To keepup with latest tech news. Aggregates and displays blog posts from multiple sources

Next.jsTypeScript