SUJAL RATHORE
Indore 452010 | +918959396039 | sujalrathore89@gmail.com | linkedin.com/in/sujal-rathore/
SUMMARY
AI/ML enthusiast driven by curiosity to explore and build smart solutions using Python, NLP, and Generative
AI. Skilled in tools like LangChain, Django, and Azure Document Intelligence, with a focus on creating
intelligent, real-world applications.
EDUCATION
B. TECH, Computer Science: Shri Vaishnav Vidyapeeth Vishwavidyalaya| CGPA: 7.9 July 2020 - July 2024
Higher Secondary School Mar Gregorio’s Memorial Higher Secondary School | 73.4% Apr 2019 - Mar 2020
High School Mar Gregorio’s Memorial Higher Secondary School | 72.6% Apr 2017 - Mar 2018
EXPERIENCE
AI/ML Engineer | Bytes Farms Technology Nov 2024 – Present
• Developed end-to-end AI solutions in the Marine Industry domain.
• Specialized in document AI, data pipelines, chatbot development, and Generative AI systems.
Data Science Intern | AI Soft Solutions and Services Pvt. Ltd. Feb 2024 – May 2024
• Worked on NLP and ML problems, focusing on data analysis and model building.
• Tasks included EDA, data cleaning, and feature engineering.
INDUSTRIAL TRAINING | Infosys June 2023 – July 2023
• Completed the Infosys Springboard Summer Training Program, a structured course on Python
programming delivered by industry experts from Infosys. Gained hands-on experience through
guided sessions and practical tasks covering core Python concepts, successfully completing all
assignments and earning a certificate of completion.
PROJECTS
Marineflow.AI Nov 2024 – Present
• Marineflow AI is a document intelligence solution designed for the marine industry to automate
the calculation of Laytime from uploaded documents. The system processes operational
documents, extracts key information, and standardizes it to help stakeholders quickly assess
shipping-related time calculations with minimal manual effort.
• To build this project, I used Azure Document Intelligence to extract structured data from various
document formats. The extracted data was then cleaned and transformed into a standardized
format. I implemented business-specific clauses and used OpenAI models to perform accurate
Laytime and deduction calculations based on the data. Additionally, I developed a Copilot
chatbot using LangChain and Retrieval-Augmented Generation (RAG), allowing users to query
and interact with the documents using natural language
Phishing Detection System June 2023-July 2023
• Designed and developed a machine learning-based web application to detect phishing websites
using URL analysis. Utilized NLP techniques and classification algorithms to distinguish between
legitimate and malicious URLs.
• Performed data cleaning, feature engineering, and model building to train an effective prediction
model. Integrated the model with a Flask API to serve real-time predictions, this application
helps users identify whether a URL is ham or potentially spam, enhancing cybersecurity
awareness.
TECHNICAL SKILLS
• Languages & Frameworks: Python, JavaScript, Django, REST APIs.
• Machine Learning & AI: Machine Learning, Generative AI, Agentic AI, RAG, LangChain, Prompt
Engineering.
• Data Handling: SQL, PostgreSQL, MySQL, Data Visualization.
• NLP & Tools: NLP, Azure Document Intelligence, Power Automate.
• Tools & Platforms: Git, GitHub, Jira, Doker, Postman.
CERTIFICATIONS
• IBM Cognitive class Machine Learning with Python.
• Advance Google Data Analytics by Google Coursera.
• IBM Cognitive class Cyber Fundamentals.
• Hacker Rank SQL (Basic).
• Programming Fundamentals Using Python Part – 1 by Infosys Springboard.
• Programming Fundamentals Using Python Part – 2 by Infosys Springboard.
