
Sai Divyansi User
@saidivyansiuser
Machine learning student at IIT BHU who developed drug–target affinity prediction pipelines using 30,000+ samples.
What I'm looking for
At IIT BHU, I developed machine learning pipelines for drug–target affinity prediction using 1D, 2D, and 3D molecular data from 30,000+ samples. I also generated protein embeddings with BERT and ESM and applied multi-modal learning to combine drug and protein features.
For my MDF-DTA project, I built a deep learning model using the DAVIS dataset, implementing Graph Neural Networks and protein sequence embeddings for feature extraction. I trained, evaluated, and optimized the model to improve predictive performance.
I also developed TripCraft, an AI-based travel itinerary planner that generates day-wise recommendations from user inputs. I applied ranking and filtering techniques and built a web interface for real-time itinerary generation and interaction.
Experience
Work history, roles, and key accomplishments
Research Intern
IIT BHU
May 2025 - Jun 2025 (1 month)
Developed machine learning pipelines for drug-target affinity prediction using 1D, 2D, and 3D molecular data. Generated protein embeddings using transformer-based models and applied multi-modal learning techniques.
Education
Degrees, certifications, and relevant coursework
Methodist College of Engineering and Technology
Bachelor of Engineering, Computer Science and Engineering
2023 -
Pursuing a Bachelor of Engineering in Computer Science and Engineering, expected to graduate in 2027.
Ratna Junior College
Intermediate, MPC
Grade: 74.6%
Completed Intermediate (MPC) with a percentage of 74.6%.
Sri Chaitanya Techno School
Class 10, SSC
Grade: 10.0/10.0
Completed Class 10 (SSC) with a CGPA of 10.0/10.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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