Rishi Prakash

Senior Python Backend Engineer · AI / LLM Specialist
Bengaluru, India · sivarishi212@gmail.com · linkedin.com/in/rishi-prakash-

Summary

Python backend engineer with 7+ years across software and data science. Currently lead backend engineer on an enterprise AI coaching platform — building real-time streaming, voice AI, and retrieval-augmented systems in FastAPI that serve thousands of users at 99.9% uptime. Strong focus on performance, reliability, security, and measurable outcomes.

Experience

Senior Python Backend Engineer, Degreed 2024 — Present
  • Architected real-time AI conversations with FastAPI + Server-Sent Events at sub-100ms P95 latency.
  • Built voice-coaching on WebRTC and the OpenAI Realtime API with connection and quality monitoring.
  • Designed a retrieval-augmented (vector search) knowledge base for domain-specific responses.
  • Hardened the platform with multi-layer prompt-injection defense and structured error handling.
  • Led a zero-downtime model migration with dual-model fallback; cut Redis operations ~80%.
Data Scientist / Senior Data Analyst, LatentView Analytics Earlier
  • Built predictive models and ML pipelines for Fortune 500 client problems.
  • Designed executive Tableau and Qlik Sense dashboards; ran NLP topic modeling (LDA) on feedback corpora.
Data Science & Analytics Roles, Multiple organizations 2018 — 2022
  • Developed ETL pipelines and BI reporting; performed statistical analysis and predictive modeling.

Skills

Languages
Python 3.11+, SQL, C#/.NET (integration)
Backend
FastAPI, asyncio, Pydantic v2, httpx, REST APIs
AI / LLM
Azure OpenAI, OpenAI Realtime API, RAG, function calling, prompt-injection defense
Real-time
Server-Sent Events, WebRTC, LiveKit, async generators, voice AI
Data & Storage
Redis (vector store, caching), PostgreSQL, MySQL, pandas, NumPy
DevOps
Docker, Kubernetes, Azure, DataDog, Prometheus, pytest

Education

Business Analytics & Data Science, SSN School of Advanced Career Education (with IBM) 2018 — 2019

Business statistics, BI & visualization, optimization, big data (Hadoop, Spark), predictive analytics. GPA 8.4/10.