Chirayu Sharma
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
Jaipur, India
Entrepreneurship Internships
Atal Incubation Centre Catalyst
- Student Entrepreneurship Program (SIP): 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.
Mohali, India
Funds Approval to SJC Nexus
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)
Python, TensorFlow, LSTM, NLP
- 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)
Keywords: Data Science, Machine Learning, NLP, Deep Learning, Python, TensorFlow, PyTorch, SQL, Natural Language Processing, Transformers, LSTMs, CNNs, GIT, Data Structures, Algorithms