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Soumili Saha

B.Tech CSE (AI & ML) student · AI/ML & Full-Stack Developer

Kolkata, West Bengal, India

@soumilisaha

0 followers

🎓 B.Tech in Computer Science Engineering (AI & ML) at Institute of Engineering and Management · Graduating 2028

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

  • Gen AI & Cloud Computing Intern
    BharatCares (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.

  • AI & ML Intern
    Edunet Foundation
    Jan 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

  • B.Tech in Computer Science Engineering (AI & ML)
    Computer Science & Engineering (AI & ML) · Jul 2024 – Jun 2028
  • Higher Secondary
    The Newtown School Kolkata
    Science · 2024
  • Secondary
    The Newtown School Kolkata
    2022

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
GCP Git MySQL GitHub PostgreSQL Amazon Web Services AWS

Projects

  • Multi-Hazard Disaster Risk Prediction System
    Python, 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.

  • Environmental Health Risk and Advisory System
    Python, 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.

  • PaperYield – AI Research Gap Discovery Platform
    Next.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

  • Research Paper accepted for presentation at ISICVA 2026 · 2026

    Accepted for presentation at the 2nd International Symposium on Innovations in Computer Vision and Applications.

  • 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.

  • NPTEL: Programming in Java · 2026

    Elite + Gold + Top 1% (100%).

  • NPTEL: The Joy of Computing Using Python · 2026

    Elite + Gold (90%).

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