Nishant Nirmal
@nishantnirmal
Data Science student building scalable AI systems and generative models.
What I'm looking for
I am a Computer Science Engineering student specializing in Data Science with hands-on experience building AI-powered applications using Python, TensorFlow, LangChain, FAISS, and Streamlit. I focus on generative AI, RAG pipelines, deep learning, and NLP to create practical solutions.
I have designed and deployed full-stack projects including an AI-powered library management system with semantic search and personalized recommendations, a game support assistant using RAG and vector search, and a multilingual language detection system deployed with Streamlit. My projects emphasize production-ready components: embeddings, vector databases, ticket automation, and role-based dashboards.
I contribute to campus AI initiatives, completed an in-house internship in Generative AI, and co-organize technical workshops—continuously exploring emerging ML tools and delivering data-driven, user-focused AI features.
Experience
Work history, roles, and key accomplishments
Technical & PR Member
Data Science Club of HIT
Jan 2026 - Present (5 months)
Participated in technical workshops and co-organized events for 80+ participants, and collaborated on analytics projects involving data preprocessing, visualization, and insight presentation.
Generative AI Intern
In-house Campus Internship
Jan 2025 - Jan 2026 (1 year)
Built Generative AI prototypes and applied prompt engineering and model workflows to real-world datasets, performing data preprocessing, exploratory analysis, and feature preparation to deliver practical AI-driven projects.
Education
Degrees, certifications, and relevant coursework
Haldia Institute of Technology
Bachelor of Technology, Computer Science Engineering (Data Science)
2023 -
Activities and societies: Projects in AI-powered applications, participation in campus Data Science Club, internships in Generative AI.
B.Tech in Computer Science Engineering with specialization in Data Science, focusing on machine learning, deep learning, and AI-powered application development.
Kendriya Vidyalaya
Class XII, Higher Secondary Education
Grade: 83%
Completed Higher Secondary Education (Class XII) with an overall score of 83%.
Jawahar Vidya Mandir, Shyamali
Class X, Secondary Education
Grade: 94%
Completed Secondary Education (Class X) with a percentage of 94%.
Availability
Location
Authorized to work in
Portfolio
portfolio-blond-two-31.vercel.appSocial media
Job categories
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