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About

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Mohit Appari

Student
Florida State University
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Someone who loves data and everything related to it. Current ventures lie in the field of data engineering and machine learning. Looking for exciting opportunities to work and collaborate with bright minds and explore the world of data together.

If you're embarking on an exciting project or seeking fresh perspectives, don't hesitate to reach out via Mail or Whatsapp.  I'm always eager to connect, exchange ideas, and explore new avenues of exploration and growth together.



About this site

Welcome to my home on the internet. This site functions as a blog/portfolio, a place to share code and thoughts. Opinions of my own.

I learnt how to build this site from the most awesome people in the community:

Experience

AI & Data Researcher  @  Florida State University
June 2024 – September 2024
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Researched and implemented Generative AI models (GANs, VAEs, RNNs) for material synthesis and battery performance optimization, enhancing data augmentation techniques for experimental datasets.
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Evaluated open-source physics-informed AI models like NequIP for molecular stability prediction, conducting hyperparameter tuning and extensive testing on high-performance computing clusters.
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Collaborated with chemistry researchers to design experiments, prepare custom datasets (11,000+ material samples), and apply AI-driven approaches for next-generation energy storage research.
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Data Scientist  @  S&P Global
January 2022 – August 2023
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Led development of automated ETL pipelines using Python and database tools to extract and process 10,000+ PDFs and TIFFs daily, reducing manual workload by 92% and improving data readiness.
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Built OCR automation using pdfplumber, PyPDF2, Camelot; optimized Google PyTesseract for better text extraction from regulatory documents, cutting operational costs by 30%.
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Created dynamic dashboards with Tableau, Power BI; scaled data storage on AWS S3, MySQL, PostgreSQL, and Oracle; presented predictive insights to leadership, supporting financial decision-making.
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Python Developer Intern  @  LG
May 2021 – August 2021
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Developed a real-time drowsiness detection system using Python, OpenCV, YOLO, and Raspberry Pi 4, achieving 90% facial landmark detection accuracy.
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Designed a smart logistics management solution using CNNs, earning 3rd place in LG Ideathon by reducing package sorting time by 25%.
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Integrated REST APIs with PostgreSQL to manage IoT sensor data for scalable, real-time logistics tracking.
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Python Developer Intern  @  ITC Infotech
January 2021 – March 2021
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Built a secure master data management system using Flask and MySQL, enabling multi-role workflows across vendors, users, and admins.
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Designed authentication, access control, and approval workflows to enhance data security and streamline operations.
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Reduced manual tracking efforts by 30% through process automation, improving data update efficiency across business units.
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