About
Computer science student specializing in AI/ML and full-stack development, with internship experience building AI platforms and machine learning pipelines. Works with modern web and ML stacks including Next.js, FastAPI, Python, Scikit-learn, TensorFlow, and XGBoost.
Experience
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Gen AI & Cloud Computing InternBharatCares (CSRBOX Group)Jun 2026 – Jul 2026
Shipped InterviewVerse AI, a full-stack interview platform supporting 3+ simulation modes spanning HR interviews, technical interviews, and project vivas. Built core platform functionality using Next.js, FastAPI, PostgreSQL, and Gemini API; separately completed AICTE x IBM SkillsBuild training in cloud computing fundamentals covering AWS and GCP.
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AI & ML InternEdunet FoundationJan 2026 – Feb 2026
Developed machine learning pipelines using Python, Scikit-learn, and XGBoost for environmental and meteorological datasets. Integrated external weather APIs into a live Streamlit dashboard for multi-hazard risk assessment and visualization.
Education
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B.Tech in Computer Science Engineering (AI & ML)Computer Science & Engineering (AI & ML) · Jul 2024 – Jun 2028
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Higher SecondaryThe Newtown School KolkataScience · 2024
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SecondaryThe Newtown School Kolkata2022
Skills
Tools / apps / platforms
Projects
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Multi-Hazard Disaster Risk Prediction SystemPython, Scikit-learn, XGBoost, Streamlit
Built a machine learning system for 2 hazards—flood and heatwave risk—using meteorological and environmental datasets. Combined 95–98% predictive accuracy with 2 real-time weather APIs in a Streamlit dashboard for location-based risk assessment.
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Environmental Health Risk and Advisory SystemPython, TensorFlow, Flask, Llama 3.2
Built an AI system combining computer vision and LLM-based reasoning to analyze environmental images and generate public health insights. Benchmarked MobileNetV2 and EfficientNetB0 with a local Llama 3.2 RAG pipeline to generate contextual health recommendations.
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PaperYield – AI Research Gap Discovery PlatformNext.js, FastAPI, PostgreSQL, RAG
Built a full-stack platform processing 5–20 research papers, extracting 8+ structured attributes, and generating citation-grounded responses through a RAG pipeline. Implemented a retrieval workflow using structure-aware chunking, dense retrieval, BM25 keyword search, and cross-encoder reranking with page-level citations.
Courses & certifications
- The Joy of Computing Using Python · NPTEL · 2026
- Programming in Java · NPTEL · 2026
- AICTE x IBM SkillsBuild training in cloud computing fundamentals · AICTE x IBM SkillsBuild · 2026
🏆 Achievements & awards
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Research Paper accepted for presentation at ISICVA 2026 · 2026
Accepted for presentation at the 2nd International Symposium on Innovations in Computer Vision and Applications.
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Smart India Hackathon 2025 · 2025
Led a team in developing a technical solution and advancing through multiple evaluation rounds to the pre-final stage among the Top 50 teams.
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NPTEL: Programming in Java · 2026
Elite + Gold + Top 1% (100%).
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NPTEL: The Joy of Computing Using Python · 2026
Elite + Gold (90%).