// AI Engineer & Data Scientist

Pulkit
Dhingra

▌

Building production-grade agentic AI systems at Ford Motor Company. MSc Data Science (Distinction), University of Bristol. Specialised in LLMs, MLOps, and real-world AI deployments.

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Ford Motor Company MSc Bristol 3+ Years Bristol, UK
Pulkit Dhingra
AI Engineer @ Ford
MSc Data Science, Bristol
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// 01 - About Me

Solving Problems with 0s and 1s

Pulkit Dhingra at desk

Versatile technologist with expertise in Python, R, and Java, complemented by hands-on experience with Terraform and cloud platforms (AWS, GCP, Azure). Skilled in designing scalable agentic AI applications, data pipelines, and end-to-end MLOps systems. Currently building production AI at Ford Motor Company and holding an MSc Data Science with Distinction from the University of Bristol.

profile.json
{ "name": "Pulkit Dhingra", "role": "AI Engineer", "location": "Bristol, UK", "experience": "3+ Years", "degree": "MSc Data Science, Bristol", "status": "available", "specialization": [ "Agentic AI", "MLOps", "RAG Systems", "LLM Fine-tuning" ] }
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Value Generated ($)
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Years Building AI
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Projects Shipped
// 02 - Background

Education & Experience

Jan 2026 - Present · Remote
AI Engineer a3f2c1d
Ford Motor Company
Built agentic AI solutions supporting service advisors by integrating multiple backend systems into a unified agentic platform. Deployed AI assistants using Google ADK and Model Armor on Cloud Run, orchestrated with Kubernetes. Designed MLOps pipelines serving API services and MCP servers, plus AI agent evaluation pipelines with Guardrails for safety and compliance.
Google ADK Model Armor Kubernetes Cloud Run MLOps MCP Servers Guardrails
Jan 2023 - Aug 2024 · Chennai
Data Scientist b7e9d4a $100M value
Ford Motor Company
Architected data-driven pipelines for real-time supply chain monitoring. Built agentic AI pipelines to optimize audit processes - reviewing amortization docs, validating contracts, flagging overpayments generating $100M in value. Designed KPI dashboards and implemented model observability with Arize Phoenix.
Python Agentic AI Qlik Sense Power BI dbt GCP Arize Phoenix
May 2022 - Jan 2023 · Lucknow
DevOps Engineer c5f1b8e
Nagarro
Integrated CI/CD pipelines with Azure, AWS, and GCP. Built Terraform IaC for cloud infrastructure. Implemented Docker and Kubernetes containerization - achieving 35% improvement in scalability - and reduced integration time by 40% via Jenkins pipelines.
Jenkins Docker Kubernetes Terraform Grafana Azure DevOps
Jan 2021 - Apr 2021
Data Science Intern d2a4f7c
Responsible AI For Youth Program
Mentored students from government schools in AI and machine learning through India's Responsible AI For Youth initiative. Guided hands-on projects from ideation to implementation.
Python ML Mentorship
2024 - Nov 2025
MSc Data ScienceDistinction
University of Bristol, UK
Awarded Distinction grade. Conducted research on energetic particle measurements from balloon flights and crop plant nutrient estimation using ML and Deep Learning models.
2018 - 2022
B.Tech Computer ScienceGPA 7.9
Dr APJ Abdul Kalam Technical University, India
Maintained GPA 7.9/10. Secured 1st place in annual coding & ML competition building end-to-end software solutions including data pipelines, RESTful APIs, and fine-tuned ML models.
2017 - 2018
12th Intermediate - ICSE
Spring Dale College
Maths, Science and Computers. Scored 70%. Gained foundation in Java, OOP, and scientific principles.
2015 - 2016
10th High School - ICSE
Spring Dale College
Scored 75%.
// 03 - Skills

My Tech Stack

AI / ML Domains
Agentic AI LLM Fine-tuning RAG Systems MLOps NLP Computer Vision Data Science
Languages
Python SQL R Java Bash
Frameworks
LangChain PyTorch HuggingFace FastAPI Google ADK Apache Spark
Cloud / DevOps
GCP AWS Azure Kubernetes Docker Terraform Jenkins
Data / Viz
dbt Tableau Power BI Qlik Sense Plotly Dash BigQuery
// 04 - Projects

Things I've Built

~/automated-document-parser/
Agentic AI · Open Source
Automated Document Parser
A powerful open-source document parsing module (live on PyPI) built with LangChain. Automatically detects file types and uses appropriate loaders for PDF, DOCX, CSV, JSON, HTML - ideal for building RAG pipelines. Install via pip install automated-document-parser.
LangChain Python RAG PyPI
GitHub
~/query-agent/
Agentic AI
Query Generation Agent
Automated SQL generation using Qwen-Coder 7B with an AI agent that interprets natural language, generates and executes SQL queries, and delivers accurate results.
LLM LangGraph SQL Python
GitHub
~/hindi-gpt-neo-2.7B/
LLM Fine-tuning
Hindi GPT-Neo 2.7B
LoRA-fine-tuned GPT-Neo 2.7B on Wikipedia-sourced Hindi data for context-aware Hindi conversations.
LoRA Fine-tuning HuggingFace
HuggingFace
~/price-trends-ecommerce/
Data Science · Engineering
Dynamic Price Trends in e-Commerce
Analyzes dynamic pricing trends using Kaggle and eBay datasets. Includes data cleaning, validation, and advanced analysis with Apache Spark for scalable distributed processing.
Apache Spark Python Kaggle Data Engineering
GitHub
~/uk-demographics-viz/
Data Science · Viz
UK Demographics Viz
Interactive Tableau dashboard visualizing demographic trends across UK regions.
Tableau Data Viz
Tableau
~/hitlog-processing/
Engineering
Hitlog Processing
Python data pipeline that analyzes website hit logs to identify and rank the top 3 most influential articles leading users to registration events.
Python Data Pipeline
GitHub
// 05 - Profiles

My Contributions

Kaggle
ML Competitions & Datasets
Tableau Public
Data Visualization Dashboards
HackerRank
Python · SQL · Problem Solving
Credly
Cloud & AI Certifications
GeeksforGeeks
15+ Technical Articles
LeetCode
Algorithms & Data Structures
// 06 - Research

Publications

01
2021
Glass Identification Using Extreme Gradient Boosting Algorithm
IJSRET, Vol. 7, Issue 4 - 2021
Presents a method for analysing chemical composition of glass particles. Enables classification and separate analysis of glass fragments based on unique chemical composition to identify their source and origin.
XGBoost Machine Learning Classification
Read PDF
02
2022
Sketch To Face - Deep Learning Facial Reconstruction
IJSRET, Vol. 8, Issue 4 - 2022
Introduces a GAN-based method for enhanced visual representation. Users create freehand sketches as input; the GAN model generates coloured facial images - eliminating the need for specialised artists or manual sketching processes.
GAN Deep Learning Computer Vision
Read PDF
// 07 - Testimonials

Co-Workers Say