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Harshit Prajapati

MCA student · Machine Learning & NLP aspiring engineer

Varanasi, Uttar Pradesh, India

@harshit_prajapati

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About

MCA student at Banaras Hindu University specializing in Machine Learning, Deep Learning, and NLP. Experience includes building end-to-end NLP pipelines, geospatial ML solutions, and transformer-based language models.

Experience

  • Machine Learning Team Lead and Data Analyst
    Omdena
    Aug 2026 – Present
  • Machine Learning Engineer and Team Lead
    Omdena
    Apr 2026 – Jul 2026

Education

  • Bachelor of Science (PCM)
    Sridev Suman Uttarakhand University
    PCM · 2021 – 2024
  • Class XII
    Jawahar Navodaya Vidyalaya, Haridwar
    2020 – 2021
  • Master of Computer Application (MCA)
    Banaras Hindu University
    2025

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL Java Bert NumPy Python Django Pandas FastAPI ChatGPT PyTorch JavaScript TensorFlow scikit-learn Transformers Tokenization Classification Neural Networks Model Evaluation Sequence Modeling Sentiment Analysis Feature Engineering Supervised Learning Attention Mechanisms Unsupervised Learning Hyperparameter Tuning Named Entity Recognition API Integration Understanding

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Google Colab Jupyter Notebook Amazon Web Services AWS

Projects

  • Mini GPT
    Python, PyTorch, Deep Learning, NLP, Transformer Architecture

    Designed and implemented a character-level language model based on the GPT transformer architecture. Built transformer components from scratch: token embeddings, positional encoding, multi-head self-attention, and feed-forward layers.

  • xRxstance
    Python, PyTorch, NLP, BERT, PyTorch Lightning

    Developed a multiclass tweet stance classification system using BERT Large and Small transformer-based models. Performed text preprocessing, tokenization, and dataset balancing to address class imbalance across 4+ stance categories. Evaluated using macro F1-score, precision, recall, and accuracy; optimized architecture via hyperparameter tuning.

  • TerraYield
    Python, Geospatial Analysis, Computer Vision, TCNN

    Collected data from government agricultural reports, satellite imagery, weather records, and commodity prices. Merged multi-source data into a unified master dataset for model training and analysis. Built yield-prediction and land-use detection models using a Temporal Convolutional Neural Network (TCNN) architecture.

Courses & certifications

  • AWS Cloud Foundations · AWS

🏆 Achievements & awards

  • CUET PG 2025: 99.9907 Percentile, AIR 3 · 2025

    All India Rank 3 among all postgraduate Computer Science aspirants across India.

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