Apoorv S. - AI Engineer

Berlin, Germany

Experience

Apr 2025 - Present

9 months

AI Interviewer

Self Project

Built an AI Research Assistant with RAG, LangChain, LangGraph, and OpenAI LLMs integrated with vector search.

Sep 2023 - May 2025

1 year 9 months

United States

AI Engineer

Thoughtspot

Engineered a Python/FastAPI framework to benchmark LLM NLP-to-TML accuracy.
Built RAG benchmarks (LangChain, FAISS) to test TML document retrieval versus the base model.
Deployed Langfuse tracing and Grafana monitoring reducing failure analysis time by 40%.
Classified TML query error patterns identifying key weaknesses in model generation.
Used failure analysis data to drive prompt engineering increasing accuracy by 15%.
Collaborated in publishing a public benchmark validating our model's code generation against competitors like Snowflake/Databricks.
Built a LangChain agent (Docker/FastAPI) to automate error log classification.

Mar 2022 - Sep 2023

1 year 7 months

India

Data Engineer

SagasIT Analytics

Architected AWS Redshift and PySpark/Glue ETL for 10 million+ records cutting query latency by 60%.
Engineered 80+ n8n/Make/Zapier/Power Automate workflows for GenAI and agents across more than 5 social APIs slashing lead processing time by 99%.
Deployed a Dockerized PyTorch recommender system (FastAPI) on Kubernetes (EKS) boosting CTR by 25%.
Built an Airflow batch-inference K-Means pipeline with auto-retraining improving conversion by 20%.
Delivered a Power BI dashboard and PowerApps HITL system for on-demand triggers speeding up decision-making by 30%.

Jul 2021 - Jan 2022

7 months

United States

Data Analyst

SkillCat Ltd

Developed a sales forecasting model and executive GDS dashboards identifying key market drivers that informed a 28% revenue growth strategy.
Built a Selenium/BS4 scraper for US gov sites for regulatory and job trends automating Python reports to drive course updates.

Summary

Hands-on AI Engineer with experience in building, prototyping, and deploying intelligent systems for the startup ecosystem.

My primary focus is engineering autonomous AI agents and advanced RAG pipelines using LangChain and LLMs to solve complex automation challenges.

I back this with 3.5 years of experience in production-ready data engineering, building robust ETL pipelines and managing the end-to-end model lifecycle to scale solutions with Docker, Python, SQL, and cloud platforms (AWS/Azure).