// AI ENGINEER

Manas
Arora

Aspiring AI Engineer with hands-on experience building Retrieval-Augmented Generation systems, AI workflow automation, recommendation systems, and machine learning solutions. Skilled in Python, LangChain, LangGraph, and LLM-powered applications.

Currently

Technology Intern

Thomson Reuters

Making Tax Digital platform • Feb 2026 - Present

250+

LeetCode Problems

8.33

CGPA / 10

Education

Bachelor of Computer Science

CHARUSAT • 2022 – 2026

01.

Experience

Technology Intern

Thomson Reuters

Feb 2026 - Present

  • Contributing to development and maintenance of the Making Tax Digital (MTD) platform, supporting UK tax reporting and regulatory compliance.
  • Worked within a large-scale enterprise codebase, gaining practical experience in software development workflows and industry-standard engineering practices.
  • Collaborated with experienced engineers to analyze, troubleshoot, and resolve application issues across multiple system components.
  • Developed strong debugging and root-cause analysis skills by investigating issues in both production and development environments.
  • Participated in code reviews, testing activities, and feature implementation while adhering to software quality and maintainability standards.
  • Gained exposure to enterprise-level delivery practices including requirement analysis, defect tracking, documentation, and Agile development workflows.

Data Analytics Intern

Linde Engineering Pvt. Ltd., Vadodara

June 2025

  • Designed and developed interactive Power BI dashboards for tracking operational incidents and events.
  • Built centralized reporting systems visualizing incident timelines, ownership, resolution status, and response metrics.
  • Enabled management teams to monitor operational performance and derive actionable insights from complex datasets.
  • Improved accessibility of organizational data through intuitive visual analytics and reporting workflows.

02.

Projects

RAG System

Enterprise Knowledge Assistant

  • • Designed and implemented an end-to-end Retrieval-Augmented Generation pipeline for context-aware question answering.
  • • Built automated workflows for document ingestion, chunking, embedding generation, and vector indexing.
  • • Developed API-driven architecture enabling seamless communication between frontend and backend AI workflows.
  • • Implemented semantic search and retrieval mechanisms to provide source-grounded responses and reduce hallucinations.
  • • Created modular architecture supporting integration with multiple vector databases and language model providers.

Recommendation System

Movie Radar

  • • Developed a content-based recommendation engine using cosine similarity and feature engineering on movie metadata including genres, cast, director, and keywords.
  • • Built an interactive Streamlit interface enabling real-time, personalized recommendation generation.
Live Demo

NLP / Machine Learning

Fake News Detection

  • • Built a machine learning classification model achieving over 95% accuracy on fake news datasets.
  • • Applied TF-IDF vectorization, text preprocessing, and stemming for feature extraction and model evaluation.
Colab

03.

Skills & Background

Languages

PythonC++

AI Engineering

RAGAgentic WorkflowsPrompt EngineeringVector SearchEmbeddingsNLPLLM Applications

Frameworks & Libraries

LangChainLangGraphScikit-learnPandasNumPyMatplotlibSeaborn

Databases

SQLMongoDB

Tools

GitGitHubStreamlitn8nJupyter NotebookPower BI

Core CS

Data Structures & AlgorithmsOOPDBMS

Education

Bachelor of Computer Science

Charotar University of Science and Technology (CHARUSAT)

2022 – 2026CGPA: 8.33 / 10

Higher Secondary School

Utkarsh School of Excellence

2022Percentile: 89%

Certifications

Google Advanced Data Analytics Professional Certificate

Google Data Analytics Professional Certificate

NPTEL – Database Management Systems

Achievements

Solved 250+ Data Structures and Algorithms problems on LeetCode.

Built multiple end-to-end machine learning and AI applications.

Hands-on experience with workflow automation and LLM-powered systems.

04.

Let's Connect

Open to AI engineering roles focused on RAG systems, intelligent automation, and applied machine learning.