fix: remove pdf from version control

Author: NeelM47

.gitignore

@@ -0,0 +1,11 @@
+# PDFs
+*.pdf
+*.PDF
+
+# Output directories
+output/
+dist/
+build/
+
+# macOS
+.DS_Store

data-engineer-role.typ

@@ -0,0 +1,216 @@
+// ==========================================
+// 1. CONFIGURATION & THEME
+// ==========================================
+
+// Define strictly Black & White
+#let accent_color = black 
+#let body_color = rgb("#000000")
+
+// Page setup
+#set page(
+  paper: "a4",
+  margin: (x: 1.25cm, y: 1.25cm),
+)
+
+// Font setup: Lato
+#set text(
+  font: ("Lato", "Roboto", "Arial"),
+  size: 10pt,
+  fill: body_color,
+  lang: "en"
+)
+
+// SPACING ADJUSTMENT HERE:
+#set par(justify: true, leading: 0.45em) 
+
+// Link styling
+#show link: it =>[
+  #set text(fill: black)
+  #underline(offset: 2pt, stroke: 0.5pt + black, it)
+]
+
+// Heading styling
+#show heading.where(level: 1): it =>[
+  #v(0.8em)
+  #set text(size: 12pt, weight: "black", font: "Lato")
+  #upper(it.body)
+  #v(-0.7em)
+  #line(length: 100%, stroke: 1pt + black)
+  #v(0.3em)
+]
+
+// ==========================================
+// 2. HELPER FUNCTIONS
+// ==========================================
+
+#let resume_entry(title, date, company, location, content) = {
+  pad(bottom: 4pt, block[
+    #grid(
+      columns: (1fr, auto),
+      align: (left, right),
+      text(weight: "bold", size: 11pt, title), 
+      text(style: "italic", date)
+    )
+    #v(-5pt)
+    #grid(
+      columns: (1fr, auto),
+      align: (left, right),
+      text(style: "italic", weight: "medium", company), 
+      text(size: 9pt, location)
+    )
+    #v(2pt)
+    #set list(indent: 1em, marker: [•])
+    #content
+  ])
+}
+
+#let project_entry(title, subtitle, content) = {
+  pad(bottom: 4pt, block[
+    #text(weight: "bold", size: 10.5pt, title) | #text(style: "italic", subtitle)
+    #v(2pt)
+    #set list(indent: 1em, marker: [•])
+    #content
+  ])
+}
+
+#let skill_group(category, skills) = {
+  text(weight: "bold", category) + [: ] + skills + linebreak()
+}
+
+// ==========================================
+// 3. DOCUMENT CONTENT
+// ==========================================
+
+// --- HEADER ---
+#align(center)[
+  #text(size: 24pt, weight: "bold")[NEEL SHIRISH MORE] \
+  #v(2pt)
+  #text(size: 11pt, weight: "bold")[PYTHON AI ENGINEER] \
+  #v(2pt)
+  #show link: it => it 
+  Liverpool, UK | Graduate Visa (Valid until Aug 2027) | +44 7393 063 988 | #link("mailto:neelmore007@gmail.com")[neelmore007\@gmail.com] \
+  #v(1pt)
+  #link("https://www.linkedin.com/in/neel-more-ai/")[Linkedin] | #link("https://github.com/NeelM47")[Github] | #link("https://neelm47.github.io/")[Portfolio] 
+]
+
+// --- SUMMARY ---
+= Professional Summary
+University of Manchester (MSc AI) graduate specialized in Python-driven AI engineering and cloud-native application development. Adept at architecting scalable LLM solutions, multi-agent workflows (LangChain, LangGraph), and Retrieval-Augmented Generation (RAG) systems. Experienced in bridging development and production by deploying machine learning models via Azure CI/CD pipelines, implementing rigorous LLM observability, and building enterprise-grade data architectures. Brings applied domain knowledge in financial services, algorithmic optimization, and banking systems.
+
+// --- SKILLS ---
+= Technical Skills
+#pad(x: 0.5em)[
+  #skill_group("AI & Engineering", "Python, LangChain, LangGraph, LLM Observability & Evaluation, RAG Architectures, Agentic Workflows, PyTorch.")
+  #skill_group("Cloud & Ecosystem", "Microsoft Azure (OpenAI, Functions, Storage, AKS), Cloud-Native Dev, AWS, Docker, API Systems.")
+  #skill_group("Data & Databases", "Vector DBs (FAISS, ChromaDB), Graph DBs (Neo4j), Data Structures, Algorithms, SQL, PostgreSQL.")
+  #skill_group("DevOps & Delivery", "Azure DevOps, CI/CD Pipelines, LangSmith, Git/GitHub, Responsible AI Governance, Agile/Scrum.")
+]
+
+// --- EXPERIENCE ---
+= Experience
+
+#resume_entry(
+  "Python AI Engineer & Consultant",
+  "Dec 2025 – Present",
+  "RTN Zero Consulting",
+  "Manchester, UK",[
+    - Engineered scalable, LLM-based multi-agent workflows using Python and LangChain to forecast revenue and generate actionable AI insights.
+    - Integrated machine learning models into production systems, implementing LLM observability, prompt monitoring, and evaluation metrics to ensure model performance.
+    - Streamlined secure data-AI pipelines and API-based integrations for certification compliance, supporting continuous improvement through rapid prototyping.
+  ]
+)
+
+#resume_entry(
+  "Data Analyst (Data Engineering & DevOps Focus)",
+  "Sept 2023 – Oct 2025",
+  "Subtle Solutions",
+  "India (Remote)",[
+    - Developed end-to-end Python data pipelines, migrating large-scale commercial data into centralized cloud storage lakes.
+    - Built and maintained CI/CD pipelines using Azure DevOps and Git in an Agile framework, maintaining 99.9% uptime for production data workflows.
+    - Collaborated within a globally distributed, cross-functional team to deliver enterprise-grade performance tracking dashboards.
+  ]
+)
+
+#resume_entry(
+  "Software Engineering Virtual Experience",
+  "Dec 2021",
+  "JPMorgan Chase & Co.",
+  "Remote",[
+    - Developed a real-time interface with stock price data feeds using Python and JPMorgan frameworks for trader visualization.
+    - Implemented financial data visualizations and performed performance testing to ensure high-frequency trading reliability within the banking sector.
+  ]
+)
+
+#resume_entry(
+  "Java & Python Coding Intern",
+  "Jan 2022 – Feb 2022",
+  "Suven Consultants & Technology",
+  "India",[
+    - Engineered software for a "Consumer Loan Assistance Program," focusing on backend logic, database connectivity, and financial service delivery.
+  ]  
+)
+
+// --- PROJECTS ---
+// Wrapped in a block to ensure the heading is never orphaned on the previous page
+#block(breakable: false)[
+= Projects
+
+#project_entry(
+  "CorpRisk-AI: Due Diligence Assessor",
+  "Python, LangGraph, RAG, FastAPI, Docker, Azure",[
+    - Engineered a scalable, multi-agent AI workflow (Python, LangChain, LangGraph) with a RAG architecture to automate corporate due diligence and AML risk assessment.
+    - Implemented comprehensive LLM observability via LangSmith to track prompt metrics, evaluate AI safety guardrails, and monitor token usage.
+    - Architected a cloud-native FastAPI backend containerized with Docker, optimized for scalable deployment on Azure Kubernetes Service (AKS) using Azure OpenAI.
+  ]
+)
+] // End of unbreakable block
+
+#project_entry(
+  "Full-Stack AI Agentic RAG Application",
+  "Portfolio",[
+    - Architected a containerized (Docker) cloud-native RAG application using Python, Django, Neo4j, and Gemini APIs for verifiable document retrieval. 
+    - Built reasoning-capable AI agents with LangChain and LangGraph, utilizing hybrid vector-graph embeddings and custom re-ranking.
+    - Applied AI safety guardrails, prompt evaluation, and responsible AI principles to ensure strict factual consistency.
+  ]
+)
+
+#project_entry(
+  "Symbolic Machine Learning Prover (SMLP)",
+  "Intel & Univ. of Manchester",[
+    - Developed a scalable machine learning model in collaboration with Intel, optimizing data structures and algorithms for computational efficiency.
+    - Utilized performance instrumentation and profiling tools to evaluate model throughput, integrating ML into complex production-grade workflows.
+  ]
+)
+
+// --- EDUCATION ---
+= Education
+
+#resume_entry(
+  "MSc. Artificial Intelligence",
+  "Sept 2023 – Sept 2024",
+  "University of Manchester",
+  "Manchester, UK",[
+    - *Modules:* Large Language Models, Computer Vision, Cognitive Robotics, Data Science
+  ]
+)
+
+#resume_entry(
+  "B.E. Computer Engineering",
+  "Aug 2019 – Aug 2023",
+  "Bharati Vidyapeeth's College of Engineering",
+  "Pune, India",[
+    - *Modules:* CNNs, NLP, Network Security, Operating Systems, Data Engineering
+  ]
+)
+
+// --- PUBLICATIONS & CERTIFICATIONS ---
+= Publications & Certifications
+#set list(marker:[‣])
+
+- Kadam Pratima, More Neel. et al. (2023) #link("https://drive.google.com/file/d/1OkyHni_bXQofdCnm0foQC_2WpdHwaD83/view?usp=sharing")['Deep Learning and Artificial Intelligence for Games'], IOSR Journal of Computer Engineering.
+- LinkedIn Learning (2026) #link("https://drive.google.com/file/d/102S0bvPKSVZFsVNGHvBQrOoozqPFVSFn/view?usp=sharing")['Microsoft Azure Solutions Architect Expert (AZ-305) Cert Prep'].
+- Udemy (2023) #link("https://drive.google.com/file/d/15DvDwrywRJZEFmEJmugoHJoxzCBvbZJU/view?usp=sharing")['Machine Learning in Python'].
+- Udemy (2022) #link("https://drive.google.com/file/d/1R2yIhLdrPg296hrrtFy32ZIpE1Zak9Y1/view?usp=sharing")['Reinforcement Learning: Beginner to Master'].
+- GIS Science Journal (2022) #link("https://drive.google.com/file/d/1RSJ3ptlvDeh9ny643ESl7j6-75ezE5HQ/view?usp=sharing")['Nanocomposites'].
+- SoftTech Solutions (2023) #link("https://drive.google.com/file/d/15DvDwrywRJZEFmEJmugoHJoxzCBvbZJU/view?usp=sharing")['Internship Certificate'].
+- Suvidha Foundation (2023) #link("https://drive.google.com/file/d/13aPoM2o3AszkObIm9WXLaeFI8GElZWpa/view?usp=sharing")['Internship Certificate'].