Rishita Singh
I’m Rishita Singh, an AI Engineer (B.Tech CSE, 2026) based in Noida, where I build practical AI systems that plug into real business workflows.
About
I’m Rishita Singh, an AI Engineer (B.Tech CSE, 2026) based in Noida, where I build practical AI systems that plug into real business workflows. I work extensively with Python and FastAPI to orchestrate LLM-powered pipelines—from turning a prompt into a finished output—while also adding reliability through evaluation and validation against source data.
In my current work at Hungama Digital Media Entertainment, I helped create CineIQ, which is already live with enterprise customers like Zee and T-Series. I also built Pivotly, a deployed AI advisor that uses RAG to recommend where automation delivers measurable ROI, along with a clear rollout plan—so users can decide what to automate and why, with reproducible results and automated testing.
- 1 year's experience
- Joined October 2026
Industry experience
- Media & Entertainment
- Education
- Software & Internet
Work experience
Built and automated a multi-step AI pipeline behind CineIQ in Python and FastAPI, transforming a script or prompt into finished video using LLMs, ElevenLabs voice, and semantic retrieval. Worked with enterprise customers Zee and T-Series (live). Researched competing micro-drama apps and translated findings into product design inputs for a retrieval and reranking pipeline. Integrated AI with existing systems by connecting LLMs to external tools and APIs through 25+ MCP tools (tool calling), and consolidated multiple FastAPI backends into a single server core. Implemented automation reliability checks using evaluation datasets for low-confidence detection and validation of outputs against source data before deployment. Used Claude and Claude Code daily to build, test, and document reusable workflows.
Automated recurring reporting workflows using Python and SQL, reducing manual effort. Processed unstructured datasets with SQL, Python, and Excel to extract trends and key drivers. Cleaned and validated datasets at the source to reduce reporting errors before analysis.
Education
Certifications and awards
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