Vikhram Labs

Multilingual AI · Efficient Foundation Models · Low-Resource NLP · Reasoning Systems · RAG · Biomedical AI · Sovereign AI Infrastructure

Website · GitHub · Google Scholar · LinkedIn · ORCID

About

Vikhram Labs is the research organization of Vikhram S, an AI researcher working at the intersection of multimodal intelligence, explainable machine learning, and public-interest technology. The lab builds AI systems for high-stakes, real-world domains — medicine, law, and public safety — with an emphasis on transparency, reliability, and reasoning under uncertainty.

Vikhram S earned his B.E. in Electronics and Communication Engineering from Saveetha Engineering College, India (2026), where he now advises the Tech Society on machine learning research and mentors undergraduate researchers.

Research Focus

Vision–Language Models & Explainable AI — interpretable multimodal architectures for clinical decision support
Multilingual & Low-Resource NLP — models and benchmarks for underrepresented languages, including Indic languages
Reasoning Systems & RAG — retrieval-augmented, confidence-aware inference pipelines
Biomedical AI — dermatological diagnosis, radiology report synthesis and interpretation
Sovereign AI Infrastructure & Legal NLP — constitutional and civic-technology AI systems
AI for Public Safety & Gender Empowerment — applied AI for social impact

Featured Work

Project	Description
NariRaksha-3B	Model powering gender-responsive AI research for women's safety
NariRaksha-100K	Dataset supporting the NariRaksha initiative
IndicConBench	Benchmark dataset for Indic-language conversational AI
IndianConstitution (PyPI)	Open-source constitutional/legal NLP package — 33,000+ downloads

Selected Publications & Recognition

NariRaksha: Gender-Responsive AI for Women's Safety — India AI Impact Summit 2026 Compendium on AI and Gender Empowerment, jointly published by India's Ministry of Electronics and Information Technology (MeitY) and UN Women. Selected as 1 of 23 case studies from 235+ submissions across 50+ countries. Read →
Explainable SLM-Guided Vision–Language Model for Multi-Class Skin Lesion Recognition — Springer Lecture Notes in Networks and Systems, ICICC 2026. Ranked in the top 15% of papers reviewed; indexed in Scopus, DBLP, zbMATH, EI Compendex, and SCImago. DOI →
Explainable Vision-Language Generative Models for Radiology Report Image Synthesis and Interpretation — journal submission in progress

Full publication list on the personal site.

Talks & Engagement

Vikhram has led sessions at Saveetha Engineering College on AI Agents and Open Source Ecosystems, Quantum Machine Learning, Financial Machine Learning, Reproducible Deep Learning, and Cyber Law & Compliance for AI systems — see the full list on the Talks and Lectures page.