AI ENGINEER / APPLIED ML / MULTILINGUAL NLP
Building intelligent applications from data to deployment.
AI engineer and product builder working across large language models, applied machine learning, and intelligent automation. My interests include building practical AI applications, developing recommendation systems, and contributing to multilingual language resources through data curation and evaluation.
IIT MadrasBS Data Science & Applications · 2024–2029 (expected)01 / AI engineering · Document intelligence
Turn fragmented medical-legal records into reviewable timelines, grounded answers, and source-linked findings.
Co-founder · Contributing to extraction, retrieval, and citation verification.
Conceptual illustration of the deal review workflow.
View full-size illustrationAI agents & automation
A deal-risk monitor with typed Jev judgments, human review, and approval before HubSpot updates.
View on GitHub
Conceptual illustration of the recommendation workflow.
View full-size illustrationApplied machine learning / Personalization
Movie and music recommendations, predictive ML models, and model inference in a Django application.
View on GitHubLOW-RESOURCE NLP / MULTILINGUAL DATA CURATION
Supporting underrepresented languages through data and evaluation.
Contributing to multilingual language resource development through dataset collection, organization, and comparison of language-model outputs for Sambalpuri, Odia, and English.
Shared resource~20Kexamples
My contributionDatacollection & evaluation
Shared multilingual resource
A shared collection of approximately 20,000 examples supports research across three languages.
My contribution: multilingual data collection, dataset organization, LLM output comparison, and evaluation support.
Documented language pathway
A shared multilingual resource
Data collection and comparison help inform research for a low-resource language.
2026 — Present
Co-Founder & AI Engineer
Feb 2023 — Present
Software Developer
Aug — Sep 2026
Business Development Executive
My work combines AI engineering, applied machine learning, and multilingual data development. I enjoy turning datasets and model capabilities into useful applications, from recommendation systems and intelligent automation to evidence-grounded document workflows. I also contribute to low-resource language initiatives through dataset organization and model evaluation, with a focus on practical and reliable AI.
More about my approachLet’s connect
I’m open to AI engineering opportunities, research collaborations, and challenging technical problems.