πŸ‘‹ I’m Mark πŸ‘‡

  • πŸ§‘β€πŸŽ“ I’m a final year undergraduate student at IIIT Gwalior.
  • πŸ”¬ My area of expertise is Data Science and Machine Learning.
  • 🏒 I’m currently an ML intern at Banach Technologies where I also contribute to backend development.
  • πŸ§ͺ I’m currently exploring the world of LLMs and Vector Databases.
  • πŸ“ Occasionally I blog.

Work Experience

Banach Technologies | Singapore (Remote)

ML Intern | April 2024 – Present

  • Currently working on implementing trading strategies, and optimizing code to reduce processing times
  • Writing and implementing ML models from scratch to work with stock market APIs to make accurate hedging strategies
  • Writing unit test cases for the different libraries already created for different trading strategies

Alemeno | Maharashtra

SDE/ML Intern | July 2023 – Present

  • Led robust data preprocessing for semantic segmentation models in rural landscapes using raster data
  • Spearheaded implementation and optimization of cutting-edge computer vision algorithms (e.g., Douglas Peuker, Jarvis March) on scalable systems
  • Proficiently manipulated GIS raster data, led strategic refactoring, and created unit tests for optimized Python applications
  • Successfully deployed Django apps on AWS, expert in cloud infrastructure management and engineered end-to-end CI/CD pipelines for seamless integration and continuous delivery

Bewgle | Bengaluru

Data Analyst | May 2022 – July 2022

  • Leveraged Python libraries and NLP techniques to generate insightful visualizations and predictions on product topics using proprietary Bewgle software datasets. Extracted valuable insights on Amazon products across diverse verticals through comprehensive analysis of product reviews.
  • Automated data pre-processing using efficient Bash and Python scripts, streamlining workflows and enhancing overall efficiency. Achieved a 90 percent reduction in dataset redundancy by optimizing information extraction processes.

Mini-Portfolio

Resume Parser

Technologies: Pytorch, Large Language Models (LLMs), HuggingFace | January 2024

  • Developed an advanced Streamlit application enabling users to upload resumes and have them parsed into structured JSON files
  • Architected with Object-Oriented Programming (OOP) principles for a modular and maintainable codebase
  • Employed multiple sophisticated LLMs to parse different sections of the document with high accuracy

ResearchMate - Community Rooms

Technologies: Django, Kubernetes | May 2023 – June 2023

  • Engineered a Discord-like interface allowing users to create and join rooms for interactive discussions
  • Authored comprehensive test cases and implemented robust CI/CD pipelines to ensure seamless integration and deployment
  • Integrated functionalities including user authentication, real-time messaging, room and post creation

You can find my other projects here


Publication

Medical Waste Classification using Deep Learning and CNNs