Nilardri Pramanick
@nilardripramanick
I build multi-agent AI systems, NLP models, and full-stack ML applications.
What I'm looking for
I've built multi-agent AI products including AI-tinerary, a LangGraph travel planner that turns one prompt into a complete itinerary through a six-agent pipeline using Tavily and Wikipedia data.
As an IEEE Research Intern, I researched ensemble sentiment analysis for real-time public-opinion mining. I benchmarked VADER, RoBERTa, BERT-Multilingual, and DistilBERT, combining their outputs to improve accuracy and interpretability.
I've also developed explainable warranty-claim adjudication, movie recommendation, exoplanet detection, and GenAI insurance-summary systems through projects and hackathons.
Experience
Work history, roles, and key accomplishments
IEEE Research Intern
IEEE
Researched ensemble sentiment analysis for real-time, event-driven public opinion mining from social media data. Built and benchmarked multiple NLP models and combined outputs via an ensemble learning framework to improve accuracy and interpretability.
Education
Degrees, certifications, and relevant coursework
Netaji Subhash Engineering College
Bachelor of Technology, Information Technology
Grade: 8.0 CGPA
Pursuing a B.Tech in Information Technology with a focus on AI, Machine Learning, and Agentic Systems. Maintained a CGPA of 8.0 up to the fourth semester.
Availability
Location
Authorized to work in
Job categories
Skills
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