AI-Monitors at SemEval-2026 Task 4: A Hybrid Embedding and LLM Ensemble for Narrative Similarity
20th International Workshop on Semantic Evaluation (SemEval-2026), ACL 2026, San Diego, USA
AI Researcher · NLP · Knowledge Graphs · Generative AI · Indian Knowledge Systems
Early-career AI researcher with peer-reviewed publications and international competition recognition, currently serving as Junior Research Fellow at Swami Rama Himalayan University, Dehradun. My work bridges cutting-edge AI with interdisciplinary domains — from NLP and Knowledge Graphs to Ayurvedic diagnosis and Indian Knowledge Systems.
Narrative similarity, semantic reasoning, entity recognition, language modeling, and evaluation methodology. Active SemEval participant with ACL publication.
LLM-driven knowledge graph construction from unstructured documents. Source-linked evidence retrieval, interactive graph visualization, historical archives.
Retrieval-augmented generation for domain-specific knowledge bases. Hallucination mitigation via local LLM benchmarking and iterative output verification.
On-device image classification, contactless fingerprint matching, real-time liveness detection, and mobile-first biometric systems (UIDAI Open Innovation).
AI integrated with Ayurveda, Vedic traditions, and consciousness studies. OCR for Sanskrit/Vedic texts, tongue diagnosis, spiritual well-being — IIT Mandi MBCC papers.
AI-based health insurance claims adjudication, clinical document classification, and structured medical record extraction (AB PM-JAY, NHA, IndiaAI, IISc).
Apr 2026 – Present
AI Centre for Research · Swami Rama Himalayan University, Dehradun
Applied research in ML, NLP, and interdisciplinary AI (IKS). Projects: HistoAI, Astrowala.world mobile LMS, AB PM-JAY Hackathon, AI×Spirituality research at IIT Mandi MBCC.
2026 · ACL San Diego
20th International Workshop on Semantic Evaluation, ACL 2026
Team AI-Monitors achieved 75% accuracy on narrative similarity, approaching the human ceiling of 78%. Also served as peer reviewer for 2 workshop papers.
May 2026 · IIT Mandi
3rd International Mind, Brain & Consciousness Conference
The Spiritual Well-being Index (SWBI): A Multimodal AI Framework for Assessing and Supporting Spiritual Growth — accepted at IIT Mandi.
Jun 2025 – Mar 2026
CAIR · Dev Sanskriti Vishwavidyalaya, Haridwar
HistoAI full-stack research platform (RAG, Knowledge Graphs, OCR), Ayur Scan tongue diagnosis, MBCC 2025 IIT Mandi presentation.
2025 · IIT Mandi
2nd International Mind, Brain & Consciousness Conference
Peer-reviewed research on AI-based tongue diagnosis for abdominal disease detection, representing CAIR Lab, DSV.
Jan 2025 – May 2025
CAIR · Dev Sanskriti Vishwavidyalaya, Haridwar
LLM-powered historical data extraction, mobile tongue diagnosis models, OCR for Sanskrit/Vedic texts, full-stack tools in React, Flask, MongoDB.
2023 – 2025
Dev Sanskriti Vishwavidyalaya, Uttarakhand · CGPA: 8.30
Graduate research focus in AI, NLP, and Data Science.
Peer-reviewed research in NLP, Generative AI, Multimodal AI, and AI for Indian Knowledge Systems.
20th International Workshop on Semantic Evaluation (SemEval-2026), ACL 2026, San Diego, USA
3rd International Mind, Brain & Consciousness Conference (MBCC 2026), IIT Mandi — Accepted
Presented at 2nd International Mind, Brain & Consciousness Conference (MBCC 2025), IIT Mandi
SemEval-2026 Workshop Papers (2 papers) · ACL 2026, San Diego — Narrative Understanding and NLP Research
Research systems and applied AI projects spanning NLP, Knowledge Graphs, Computer Vision, and mobile AI.
SemEval-2026 Task 4 · ACL 2026
Hybrid ensemble of sentence embeddings and LLM models for narrative similarity reasoning. Components selected by error diversity over accuracy alone, achieving 75% accuracy near the human ceiling of 78%.
→ Published at SemEval-2026, ACL 2026, San Diego
Full-Stack Research Platform · Developer Lead
RBAC web platform unifying four AI modules (OCR, RAG Chatbot, Knowledge Graph, Data Extraction) under JWT authentication. Features metadata-driven deduplication, Celery+Redis async processing, WebSocket real-time updates, and source-linked output verification.
→ Developer lead — Git strategy, PRs, agile sprint delivery
LLMs · NLP · Information Retrieval
Pipeline for knowledge graph construction from unstructured documents using locally hosted LLMs for entity recognition and relationship extraction. Interactive graph visualization with every node linked directly to the originating PDF page for source verification.
Mobile App · Ayurvedic AI · Research Tool
Flutter Android app for structured patient data collection and tongue imagery for Ayurvedic diagnosis research. On-device TFLite binary classifier validates tongue image quality at capture. Primary data tool for MBCC 2025, IIT Mandi paper.
→ Linked to MBCC 2025, IIT Mandi publication
UIDAI Open Innovation Proposal
Dual biometric system: contactless fingerprint capture with database matching and confidence scoring; real-time liveness detection classifying face input as real or spoofed. Full mobile-side development integrating Flask API endpoints.
Vedic Astrology Learning Platform
React Native Android application for Vedic astrology and spiritual learning. Implements live class discovery, course access management, and expert astrologer interaction. Developed as part of IKS+AI research initiative at SRHU.
NHA · IndiaAI Mission · IISc Bengaluru
AI-based health insurance claims adjudication system for the NHA IndiaAI Mission Hackathon. Clinical document classification and structured information extraction from medical records using NLP and document AI techniques.
I am a Junior Research Fellow at the AI Centre for Research, Swami Rama Himalayan University, Dehradun, where I conduct applied research in Machine Learning, Natural Language Processing, and interdisciplinary AI domains bridging modern technology with Indian Knowledge Systems.
My research spans NLP (narrative similarity, entity recognition, language modeling), Knowledge Graphs, Generative AI (RAG, LLMs, prompt engineering), Computer Vision, and interdisciplinary AI applications in Ayurveda, healthcare, and spiritual well-being assessment. I am drawn to problems that sit at disciplinary boundaries — where AI methods illuminate non-computational domains.
In 2026, I co-authored a system ranked 3rd out of 47 international teams at SemEval-2026 Task 4 (ACL 2026, San Diego), approaching the human annotator ceiling of 78% accuracy. I have published and presented research at IIT Mandi's Mind, Brain & Consciousness Conference and served as a peer reviewer for NLP workshop papers.
"Seeking opportunities at the intersection of rigorous AI research, interdisciplinary collaboration, and academic instruction — toward a PhD and contributions to AI for social good."
Dev Sanskriti Vishwavidyalaya, Uttarakhand
CGPA: 8.30 / 10
Patliputra University, Patna
70%
Junior Research Fellow
AI Centre for Research
Swami Rama Himalayan University
Dehradun · Apr 2026 – Present
Seeking Lecturer or Teaching Assistant positions in AI, Machine Learning, and Computer Science at the undergraduate and postgraduate level.
My approach to teaching is grounded in applied understanding over abstract memorization. Having come from research that spans NLP, computer vision, mobile AI, and interdisciplinary domains, I believe the best AI education bridges theory with real-world systems — showing students not just how algorithms work, but why they are designed the way they are and where they fall short.
Supervised/unsupervised learning, evaluation, model selection, applied ML with Python.
Embeddings, transformers, prompt engineering, evaluation (SemEval-style), and LLM applications. Grounded in active research experience.
CNNs, RNNs, transformers, on-device deployment (TFLite), and applied vision systems.
Foundational programming, algorithm design, data structures, and problem-solving.
Knowledge graphs, semantic search, RAG systems, entity-relation extraction, graph-based IR. Research-backed curriculum.
Scientific writing, experiment design, statistical evaluation, shared task participation, and publication workflow — informed by active publication experience.
Research Positions
Education
CGPA: 8.30 / 10.0
70%
Publications
In Progress · 🏆 3rd / 47 International Teams
Accepted
Presented · Publication in Progress
Technical Skills
Programming
AI / ML
NLP & CV
Web
Mobile
DevOps & Tools