I am an AI and machine learning engineer with a strong foundation in LLM integration, prompt engineering, retrieval-augmented generation (RAG), and end-to-end ML pipeline development. I am currently pursuing an MSc in Business Analytics at the University of Exeter and have hands-on experience building production-grade AI-powered applications using Python, OpenAI API, FastAPI, React, and scikit-learn. I enjoy designing intelligent systems for automated code review, vulnerability classification, and structured AI output generation. I am actively seeking AI Engineer, ML Engineer, AI Product Engineer, or Prompt Engineer roles at technology-forward organizations where I can contribute to scalable, impactful AI solutions and collaborate across product and engineering teams.

Pradeep Lakkur Kumaraswamy

I am an AI and machine learning engineer with a strong foundation in LLM integration, prompt engineering, retrieval-augmented generation (RAG), and end-to-end ML pipeline development. I am currently pursuing an MSc in Business Analytics at the University of Exeter and have hands-on experience building production-grade AI-powered applications using Python, OpenAI API, FastAPI, React, and scikit-learn. I enjoy designing intelligent systems for automated code review, vulnerability classification, and structured AI output generation. I am actively seeking AI Engineer, ML Engineer, AI Product Engineer, or Prompt Engineer roles at technology-forward organizations where I can contribute to scalable, impactful AI solutions and collaborate across product and engineering teams.

Next availability:
June 10, 2026

I am an AI and machine learning engineer with a strong foundation in LLM integration, prompt engineering, retrieval-augmented generation (RAG), and end-to-end ML pipeline development. I am currently pursuing an MSc in Business Analytics at the University of Exeter and have hands-on experience building production-grade AI-powered applications using Python, OpenAI API, FastAPI, React, and scikit-learn. I enjoy designing intelligent systems for automated code review, vulnerability classification, and structured AI output generation.

I am actively seeking AI Engineer, ML Engineer, AI Product Engineer, or Prompt Engineer roles at technology-forward organizations where I can contribute to scalable, impactful AI solutions and collaborate across product and engineering teams.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

AI Product / Full-Stack AI Engineer at AI Merge Guard (Personal Project)
March 1, 2026 - April 1, 2026
Architected and deployed a full-stack AI-powered pull request review platform that automatically detects merge risks, security vulnerabilities, policy violations, missing test coverage, and code bugs before merging. Engineered a prompt-engineering pipeline integrating OpenAI LLM-based analysis with Semgrep, Ruff, and Python AST checks to produce structured, severity-rated code review findings with AI-generated quick-fix recommendations. Developed a FastAPI backend with asynchronous review job processing, GitHub Webhooks, GitHub Check Runs, and inline PR comment automation using the GitHub REST API. Built a React/TypeScript dashboard providing real-time job tracking, evidence-backed findings, manual review triggers, and review history via SQLite persistence. Implemented custom repository policy enforcement rules, enabling teams to define AI-enforced code standards and automatically block non-compliant merges.
Machine Learning Engineer at University of Exeter
November 1, 2025 - February 1, 2026
Designed and trained a 3-stage hierarchical classifier to predict CVE severity (Critical/High/Medium/Low) from 55,712 labelled NVD and CVE-CWE records. Built a hybrid NLP feature pipeline combining TF-IDF (1–3 n-grams, 60,000 features) over CVE descriptions with one-hot encoded CVSS vector metrics, achieving 71.2% accuracy and 0.716 weighted F1-score. Developed a retrieval-augmented generation (RAG) similarity index for evidence-based severity retrieval, deployed via a production Streamlit application with single/batch prediction, confidence scoring, and confusion matrix visualisation. Delivered CSV export and structured reporting features enabling scalable batch vulnerability triage workflows for security operations teams.
Web Developer Intern at J&J Digital Solutions
December 1, 2025 - Present
Developed and deployed responsive UI pages for a client-facing portal using HTML, CSS, JavaScript, and Python Flask; integrated Google Analytics, implemented payment management and user administration modules. Designed and implemented Flask backend routes and application structure to support frontend pages with seamless navigation and consistent UX. Collaborated in a GitHub-based development workflow using feature branches, pull requests, and code reviews to maintain code quality and deployment readiness.
Web Developer Intern at Surena Management Solutions Pvt. Ltd
March 1, 2025 - August 1, 2025
Contributed to enterprise web application development using Bootstrap 5, JavaScript, AJAX, and REST APIs, delivering responsive interfaces for business workflows. Implemented CRUD-based features for core operations and supported frontend–backend integration in a structured team development environment.
Machine Learning Intern at Saara IT Solutions Pvt. Ltd
October 1, 2023 - November 1, 2023
Developed a supervised ML classification model to categorise mobile devices into price segments using structured dataset features, applying data preprocessing, feature selection, and model evaluation techniques.

Education

MSc in Business Analytics at University of Exeter
January 1, 2025 - April 29, 2026
B.E. in Computer Science and Engineering at Mangalore Institute of Technology and Engineering
January 1, 2021 - January 1, 2025

Qualifications

EX{AI}Certified Course – AI and AI Development
January 11, 2030 - April 29, 2026
Python Proficiency Certificate – EX{code} Python Programme
January 11, 2030 - April 29, 2026
Introduction to Data Science in Python – Coursera, University of Michigan
January 11, 2030 - April 29, 2026
Introduction to Python – 365 Data Science
January 11, 2030 - April 29, 2026

Industry Experience

Software & Internet, Professional Services, Education, Media & Entertainment