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Who I am I’m Manu Singh Bist, an AI/ML engineer and data scientist who builds production-grade LLM/RAG systems and predictive models with a clear focus on reliability, traceability, and business impact. I’m completing an M.Sc. in Data Analytics (overall score 1.2) at the University of Hildesheim. What I’ve done Built and deployed a multilingual RAG assistant over large technical PDF libraries (10,000+ pages via OCR/NER) with page-level citations, improving retrieval precision by +15% and cutting training time by −17%. Delivered analytics models tied to outcomes: +4% customer retention (Kappa 0.539) and anomaly detection up to 0.88 F1. Previous experience Data Scientist (Werkstudent), Brunel Car Synergies — end-to-end RAG/chatbot development (Hugging Face, LangChain), data pipelines, deployment, monitoring. Engineer in Automation, Workato — CI/CD accelerators, Snowflake SQL insights, Slack Workbot & Salesforce–Jira automations across teams. What makes me stand out Clear end-to-end ownership (data → model → API → monitoring) using Python, FastAPI, scikit-learn/PyTorch, MLflow. Trust & explainability first (grounded answers, citations, evaluation/guardrails). Recognized for commitment and reliability (Deutschlandstipendium; DAAD Scholarship for Commitment).…Who I am I’m Manu Singh Bist, an AI/ML engineer and data scientist who builds production-grade LLM/RAG systems and predictive models with a clear focus on reliability, traceability, and business impact. I’m completing an M.Sc. in Data Analytics (overall score 1.2) at the University of Hildesheim. What I’ve done Built and deployed a multilingual RAG assistant over large technical PDF libraries (10,000+ pages via OCR/NER) with page-level citations, improving retrieval precision by +15% and cutting training time by −17%. Delivered analytics models tied to outcomes: +4% customer retention (Kappa 0.539) and anomaly detection up to 0.88 F1. Previous experience Data Scientist (Werkstudent), Brunel Car Synergies — end-to-end RAG/chatbot development (Hugging Face, LangChain), data pipelines, deployment, monitoring. Engineer in Automation, Workato — CI/CD accelerators, Snowflake SQL insights, Slack Workbot & Salesforce–Jira automations across teams. What makes me stand out Clear end-to-end ownership (data → model → API → monitoring) using Python, FastAPI, scikit-learn/PyTorch, MLflow. Trust & explainability first (grounded answers, citations, evaluation/guardrails). Recognized for commitment and reliability (Deutschlandstipendium; DAAD Scholarship for Commitment).

Manu Singh Bist

Data Scientist, Web Developer, Full Stack Developer, +2

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Who I am I’m Manu Singh Bist, an AI/ML engineer and data scientist who builds production-grade LLM/RAG systems and predictive models with a clear focus on reliability, traceability, and business impact. I’m completing an M.Sc. in Data Analytics (overall score 1.2) at the University of Hildesheim. What I’ve done Built and deployed a multilingual RAG assistant over large technical PDF libraries (10,000+ pages via OCR/NER) with page-level citations, improving retrieval precision by +15% and cutting training time by −17%. Delivered analytics models tied to outcomes: +4% customer retention (Kappa 0.539) and anomaly detection up to 0.88 F1. Previous experience Data Scientist (Werkstudent), Brunel Car Synergies — end-to-end RAG/chatbot development (Hugging Face, LangChain), data pipelines, deployment, monitoring. Engineer in Automation, Workato — CI/CD accelerators, Snowflake SQL insights, Slack Workbot & Salesforce–Jira automations across teams. What makes me stand out Clear end-to-end ownership (data → model → API → monitoring) using Python, FastAPI, scikit-learn/PyTorch, MLflow. Trust & explainability first (grounded answers, citations, evaluation/guardrails). Recognized for commitment and reliability (Deutschlandstipendium; DAAD Scholarship for Commitment).…Who I am I’m Manu Singh Bist, an AI/ML engineer and data scientist who builds production-grade LLM/RAG systems and predictive models with a clear focus on reliability, traceability, and business impact. I’m completing an M.Sc. in Data Analytics (overall score 1.2) at the University of Hildesheim. What I’ve done Built and deployed a multilingual RAG assistant over large technical PDF libraries (10,000+ pages via OCR/NER) with page-level citations, improving retrieval precision by +15% and cutting training time by −17%. Delivered analytics models tied to outcomes: +4% customer retention (Kappa 0.539) and anomaly detection up to 0.88 F1. Previous experience Data Scientist (Werkstudent), Brunel Car Synergies — end-to-end RAG/chatbot development (Hugging Face, LangChain), data pipelines, deployment, monitoring. Engineer in Automation, Workato — CI/CD accelerators, Snowflake SQL insights, Slack Workbot & Salesforce–Jira automations across teams. What makes me stand out Clear end-to-end ownership (data → model → API → monitoring) using Python, FastAPI, scikit-learn/PyTorch, MLflow. Trust & explainability first (grounded answers, citations, evaluation/guardrails). Recognized for commitment and reliability (Deutschlandstipendium; DAAD Scholarship for Commitment).

Available to hire

Who I am
I’m Manu Singh Bist, an AI/ML engineer and data scientist who builds production-grade LLM/RAG systems and predictive models with a clear focus on reliability, traceability, and business impact. I’m completing an M.Sc. in Data Analytics (overall score 1.2) at the University of Hildesheim.

What I’ve done

Built and deployed a multilingual RAG assistant over large technical PDF libraries (10,000+ pages via OCR/NER) with page-level citations, improving retrieval precision by +15% and cutting training time by −17%.

Delivered analytics models tied to outcomes: +4% customer retention (Kappa 0.539) and anomaly detection up to 0.88 F1.

Previous experience

Data Scientist (Werkstudent), Brunel Car Synergies — end-to-end RAG/chatbot development (Hugging Face, LangChain), data pipelines, deployment, monitoring.

Engineer in Automation, Workato — CI/CD accelerators, Snowflake SQL insights, Slack Workbot & Salesforce–Jira automations across teams.

What makes me stand out

Clear end-to-end ownership (data → model → API → monitoring) using Python, FastAPI, scikit-learn/PyTorch, MLflow.

Trust & explainability first (grounded answers, citations, evaluation/guardrails).

Recognized for commitment and reliability (Deutschlandstipendium; DAAD Scholarship for Commitment).

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Data Scientist Werkstudent at Brunel Car Synergies

November 1, 2025 - November 1, 2025

Developed and deployed a multilingual Retrieval-Augmented Generation (RAG) chatbot using Hugging Face Transformers and langchain; converted and structured over 10,000 pages of unstructured PDFs into usable datasets using OCR, NER, text parsing, and KeyBERT; applied Parameter-Efficient Fine-Tuning (PEFT) to adapt large language models for domain-specific retrieval and generation tasks; improved end-to-end chatbot performance by integrating structured metadata and contextual cues to increase information retrieval precision.

Engineer in Automation at Workato

September 1, 2023 - September 1, 2023

Collaborated with cross-functional teams to develop CI/CD Embedded and Enterprise DataHub Accelerators; translated raw data insights from Snowflake SQL queries into actionable recommendations; supported the delivery of Slack Workbot and Salesforce–Jira automation by documenting processes and coordinating with product, engineering, and QA teams.