Chirayu Sharma – Unlocking the Secrets of AI: From Rock Segmentation to Next-Word Prediction!

Chirayu Sharma

Jaipur, Rajasthan

Summary

Data Science and Machine Learning enthusiast with expertise in NLP, Deep Learning, and Large-Scale Data Processing. Strong knowledge of Python, TensorFlow, PyTorch, and SQL, with a proven track record in building scalable ML solutions. Experienced in Natural Language Processing (NLP), Transformers, and LLM fine-tuning. Adept at data wrangling, statistical analysis, and visualization. Passionate about applying cutting-edge AI techniques to solve real-world problems.

Research

• GIT, Jaipur – Summer Research Intern
  • Developed a rock segmentation software under the guidance of Assistant Professor Vikas Kumar using a simple U-Net model, achieving segmentation accuracy and standardizing data for effective rock fragmentation and processing.
  • Designed the model to operate efficiently on low-end hardware, reducing computational costs and ensuring usability in tough industrial environments.
  • Enhanced operational accuracy and data consistency, improving fragmentation outcomes and reducing manual intervention.

Skills

• Programming Languages: Python, C/C++, SQL
• Libraries and Frameworks: TensorFlow, TensorFlowLite, PyTorch, Matplotlib, Pandas, numpy
• NLP & AI: Transformers (Hugging Face), LSTMs, CNNs
• Tools & Technologies: GIT, Data Structures & Algorithms (DSA)

Professional Experience

• Atal Incubation Centre Catalyst
  • Student Entrepreneurship Program – Developed a rock image fragmentation software using U-Net architecture and deep learning algorithms. Currently building a GIS platform leveraging PostgreSQL for efficient geospatial data management and analysis.
  • Successfully raised funding of [hidden] under the Entrepreneur-in-Residence (EIR) scheme.
• STPI NEURON – Centre of Entrepreneurship
  • Secured ₹4 lakh in funding under the Startup India Seed Fund Scheme, pitching to three government incubators.
  • Received grant approval through ISMC recommendation to STPINEXT INITIATIVES (Neuron – Centre of Entrepreneurship).

Projects

• Next-Word Prediction Using LSTM (December-2024)
  • Built an LSTM-based NLP model to predict the next word in text sequences using Shakespeare’s sonnets.
  • Applied tokenization, vectorization, and optimized hyperparameters for improved accuracy.
  • Evaluated performance with perplexity scores and fine-tuned the model using Bidirectional LSTM.

Certificates & Achievements

• Machine Learning Models in Microsoft Azure
• Build Basic Generative Adversarial Networks (GANs)
• Code Red [hidden] Triathlon Hackathon
• Startup Registration Certificate (DPIIT)
• Smart India Hackathon
• Build Better Generative Adversarial Networks (GANs)
• Code Red [hidden] Triathlon Hackathon
• [hidden]
• Apply Generative Adversarial Networks (GANs)
• Shankara Global Hackathon

Education

• Global Institute of Technology, Jaipur (2021-2025) – [hidden]([hidden])
• St. Vivekanand Senior Secondary School – 12th-([hidden])

Position of Responsibility

• Volunteering in Placement Cell under TPO Officer
• Football Coordinator, Sports Event (Vanquish)

Skills

Python, TensorFlow, PyTorch, NLP, Deep Learning, SQL, Data Wrangling, Visualization, Natural Language Processing, Transformers, LSTMs, CNNs, GIT, Data Structures & Algorithms (DSA)

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Cover Letter:

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