Shivani Shrivastava profile photo 1 on Tal

Shivani Shrivastava

Product Engineer@fynd | Data scientist @SIX SIGMA Pro solutions | B.tech (A.I. & M.L.) @upgrad

Noida

2+ years of work experience

Fynd (Shopsense Retail Technologies Ltd.)
Jul 20241 yr 10 mosPresent

On-site

•Designed and optimized end-to-end ETL pipelines (Kafka → MongoDB → BigQuery), improving reliability and reducing data sync failures by 60%. •Built a Retrieval-Augmented Generation (RAG) system using transformer embeddings and vector search to retrieve semantically similar incidents and Slack threads. •Developed LangChain-based pipelines to parse Jira webhook payloads and convert unstructured ticket data into structured datasets. •Implemented monitoring and alerting systems using Grafana, Prometheus, and Python to track replication lag, pipeline health, and anomalies. •Automated Slack-based reporting workflows for pipeline KPIs and anomaly detection, enabling proactive incident resolution. •Awarded Fynd Star (2025) for improving data pipeline reliability and enabling data-driven decision-making.
Six Sigma Pro SMART
Oct 20234 mosJan 2024

Remote

Worked on designated case studies As a Data Scientist Trainee actively engaged in hands-on projects focusing on real-world datasets and machine learning applications.
MedTourEasy
Aug 20232 mosSep 2023

Remote

Education

Maharishi International University

B.tech, In Specialization in Artificial Intelligence & Machine learning

Maharishi International University

20204 yrs2024
upGrad.com

upGrad.com

Join Shivani and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Shivani Shrivastava on Tal

Headline

Product Engineer@fynd | Data scientist @SIX SIGMA Pro solutions | B.tech (A.I. & M.L.) @upgrad

About

I’m Product Engineer with a B.Tech in AI/ML, focused on building reliable, production-ready AI. My work spans LLM evaluation (factuality, empathy, safety), retrieval-augmented generation, and multimodal recommenders. I enjoy shipping end-to-end: data pipelines → models → dashboards. When I’m not tuning prompts or embeddings, I’m instrumenting metrics to make AI measurable. AI & Automation | LLMs • RAG • Analytics I’ve built ETL pipelines, LLM evaluation systems, and multimodal prototypes that ship.

Location

Noida

Work experience

Product Engineer at Fynd (Shopsense Retail Technologies Ltd.), Jul 2024 - Present · 1 yr 10 mos, On-site, •Designed and optimized end-to-end ETL pipelines (Kafka → MongoDB → BigQuery), improving reliability and reducing data sync failures by 60%. •Built a Retrieval-Augmented Generation (RAG) system using transformer embeddings and vector search to retrieve semantically similar incidents and Slack threads. •Developed LangChain-based pipelines to parse Jira webhook payloads and convert unstructured ticket data into structured datasets. •Implemented monitoring and alerting systems using Grafana, Prometheus, and Python to track replication lag, pipeline health, and anomalies. •Automated Slack-based reporting workflows for pipeline KPIs and anomaly detection, enabling proactive incident resolution. •Awarded Fynd Star (2025) for improving data pipeline reliability and enabling data-driven decision-making.

Data Scientist Intern at Six Sigma Pro SMART, Oct 2023 - Jan 2024 · 4 mos, Remote, Worked on designated case studies As a Data Scientist Trainee actively engaged in hands-on projects focusing on real-world datasets and machine learning applications.

Data Analyst trainee at MedTourEasy, Aug 2023 - Sep 2023 · 2 mos, Remote

Education

B.tech, In Specialization in Artificial Intelligence & Machine learning, Maharishi International University

upGrad.com

Public links

github: https://github.com/shivani25shri

Shivani Shrivastava - Product Engineer in Noida | Tal