BITS PILANI • M.E. COMPUTER SCIENCE 27'
Surajsinh Patil
Artificial Intelligence | Machine Learning | Data Science | LLMs
Final-year M.E. Computer Science student at BITS Pilani focused on building reliable AI and ML systems, with hands-on experience in causal inference, LLMs, computer vision, and data science.
About
I’m a final-year M.E. Computer Science student at BITS Pilani working at the intersection of machine learning and data science.
I build end-to-end AI systems, from leakage-safe data pipelines and causal experiments to fine-tuned vision-language models and LLM evaluation frameworks.
I’m particularly interested in rigorous model evaluation, efficient model adaptation, and turning research ideas into reliable, deployable systems.
Featured Projects
Causal Inference • Uplift Modeling • Data Science
Causal Campaign Targeting Optimizer
An end-to-end uplift modeling system that identifies customers whose purchase behavior can be causally influenced by marketing, using randomized experiment data, leakage-safe feature engineering, and causal machine learning.
Vision-Language Models • LoRA • Explainable AI
Explainable VLM for Banana Leaf Disease Diagnosis
A fine-tuned vision-language model for plant disease diagnosis, combining LoRA adaptation with a visual chain-of-thought pipeline for accurate and interpretable predictions on real-field imagery.
LLM Evaluation • vLLM • Semantic Consistency
SemIntegrity
A semantic self-consistency benchmark for evaluating whether large language models preserve meaning under controlled perturbations, with automated verification, statistical analysis, and scalable GPU inference.
Skills
Machine Learning & Statistics
Deep Learning & LLMs
Data & Engineering
Experience
Teaching Assistant — Machine Learning
BITS Pilani • Aug 2025 – Nov 2025
Co-developed a team NLP polarization detection pipeline covering text preprocessing, feature vectorization, scikit-learn classification, and CLI-based inference.
Teaching Assistant — Computer Networks
BITS Pilani • Jan 2026 – May 2026
Conducted laboratory sessions covering Wireshark packet analysis, socket programming, and debugging of TCP/IP client-server applications.
Research & Conference
Conference Presentation • Apr 2024
Wildfire Detection Using Satellite Images
Presented research on wildfire detection using satellite imagery at RACE-2024, the 11th National Conference on Recent Advances in Computer Engineering, MES Wadia College of Engineering, Pune.