Sparsh Birla
Backend-focused developer specializing in distributed systems, asynchronous pipelines, and AI integration services.
Performance across four engineering signals.
What the signals reveal
Experience designing asynchronous task queues, sliding-window rate limiting, and database-backed alerting engines using FastAPI, Celery, and Redis. Implementation history spans RAG-based systems, vector embeddings, and automated workflow integrations.
Quantified signals
Numbers pulled directly from connected sources. Refreshed every 12 hrs.
What's actually been shipped
Auto-detected from GitHub. Tech stack inferred. AI summaries generated.
RAG and LLM based personal assistant
RAG based Chatbot that generates LinkedIn profile data and answers questions based on person profile featuring use of LangChain and LLamaIndex.
No repository description available.
A production-grade, event-driven alerting engine built with FastAPI, Celery, Redis, and PostgreSQL. Demonstrates core distributed systems patterns including async task queues, deduplication, sliding-window rate limiting, exponential backoff, dead-letter queues (DLQ), and automated AI storm digests.
The work, indexed.
Activity across public repositories and open-source contributions over the last 12 months.
Problem-solving signal
Numbers pulled directly from LeetCode. Contest performance and problem-solving activity analyzed.