📞 +91 9839518689
✉️ p.samsahil2003@gmail.com
I’m a Computer Science Engineering student at Visvesvaraya Technological University, deeply passionate about Natural Language Processing (NLP), Multimodal Machine Learning, and Applied AI Research.
My work focuses on building state-of-the-art models for emotion detection, moral foundation prediction, and multimodal reasoning systems that integrate text, vision, graphs, and behavioral data.
💡 Research Interests:
- Multilingual NLP & Low-Resource Languages
- Multimodal AI (Text + Vision + Graphs + Temporal Data)
- Moral Reasoning & Social Media Analysis
- Model Efficiency (LoRA, Quantization, Parameter-Efficient Fine-Tuning)
- Robustness, Bias, and Fairness in AI Models
🤝 Always open to collaborate on interesting research ideas, especially those with real-world impact or novel approaches in AI and ML.
Visvesvaraya Technological University (VTU), India
B.E. in Computer Science Engineering
Nov 2022 – Aug 2026
- Working with Language Technology Group.
- Working on POLAR @ SemEval-2026 Task 9 link
- SemEval Shared Task 2025 - Task 11 Track 1 (Multi-label Emotion Detection) under Prof. Anupam Jamatia.
- Achieved Rank 7 in Russian, 9th in Hindi, 8th in French & Hausa out of 720 participants. Project Repo
- Hybrid Dual-Path Model (RoBERTa + GAT) — Achieved SOTA results:
- Macro F1-score: 0.69 (MFTC) & 0.40 (MFRC)
- Developed MOTIV: a five-modality fusion framework for moral reasoning.
- Data Harmonization for three major corpora: MFTC, MFRC, MOTIV.
- Implemented multi-label Focal Loss to handle severe class imbalance. Project Repo
- Team A at SemEval-2025 Task 11: Multilingual Emotion Detection ACL Anthology
- Synergizing Contextual Semantics and Moral Knowledge Graphs — Under Review Preprint
- Fine-tuned for radiology image captioning using LoRA.
- Dataset: Hugging Face Radiologymini.
- Trained & deployed for descriptive medical image captions.
- NUS Spam Dataset + TF-IDF + ML models.
- Results:
- Random Forest: 97% accuracy
- SVM: 97% accuracy
- On AI-generated data: 41% accuracy each.
Languages: Python, C++
Libraries & Tools: TensorFlow, PyTorch, Sklearn, Pandas, Numpy, Matplotlib, Seaborn, HuggingFace, LaTeX
- Foundations of Modern Machine Learning — IIIT Hyderabad (Aug 2023 – Apr 2024) Credential
- Data Analysis with Python — freeCodeCamp (May 2023) Certificate
⭐ Feel free to check out my repositories and connect with me!