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SD

Shruti Dahivalikar

Information Technology student · AI/Full-Stack Developer

Neral, Maharashtra, India

@shruti_dahivalikar

LinkedIn GitHub

0 followers

🎓 B.Tech in Information Technology at Vidyalankar Institute of Technology · Graduating 2027

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About

Information Technology student with hands-on experience building full-stack and AI-integrated applications, including RAG systems, multi-agent AI tools, and deep learning models. Comfortable working across the stack with Python, React, LLM APIs, PyTorch, and AWS, with a strong interest in shipping production-grade AI-enabled products.

Experience

  • Generative AI Intern
    SureTrust
    Mar 2026 – Sep 2026

    Worked on prompt engineering, LLM application design, and end-to-end AI product development, building and deploying real-world AI tools.

  • Power BI / Data Analytics Intern
    Microsoft Elevate
    Feb 2026 – Mar 2026

    Built interactive Power BI dashboards, performed data cleaning and KPI tracking, and developed an Airline Delay Analysis Prediction project to identify delay trends.

Education

Skills

6 to 12 months 6 to 12 months Most of a year behind them.
Prompt Engineering
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL RAG Java Bert NumPy Hindi Faiss Python Django Pandas PyTorch English Streamlit LangChain LangGraph Reacts Js Data Science scikit-learn Explainable AI Semantic Search Marathi language Multi-Agent Systems

Tools / apps / platforms

6 to 12 months 6 to 12 months Most of a year behind them.
Groq
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
S3 Git GitHub SQLite MongoDB CloudWatch PostgreSQL Hugging Face Microsoft Power BI Amazon Web Services AWS Amazon Elastic Compute Cloud EC2

Languages

Fluent Fluent Comfortable using it for work.
Hindi Speak Marathi Speak English Speak

Projects

  • AI Invoice Intelligence
    Python, Streamlit, Groq API, GPT-OSS-20B, FAISS, RAG, OCR, LangChain, LangGraph

    Built an AI-powered document processing system extracting structured data from PDF/image invoices using OCR and LLM-based extraction, with financial analytics on vendor spend trends and overdue tracking. Designed a RAG-based conversational Q&A system for invoice questions.

  • Student Employability Prediction
    Python, PyTorch, Hugging Face Transformers, BERT, scikit-learn, Pandas

    Built a deep learning model that predicts if a student will get placed by combining resume text with academic and skill data into one prediction system. Cleaned and prepared the data for training and saved model versions in PyTorch.

  • Student Mental Health and Psychological Support System
    React.js, MongoDB, AWS

    Built an AI-assisted mental health platform featuring chatbot support, counselling, and peer interaction features. Deployed on AWS with EC2, S3, CloudFront, IAM, and CloudWatch.

  • Multi-Agent Scheduling Assistant
    Python, LangGraph, LangChain, Groq Llama 3.3, Streamlit, SQLite, Pydantic

    Developed an AI-powered scheduling assistant using specialized agents for appointment booking, availability checking, and booking retrieval, with intent-based multi-agent routing. Implemented structured outputs, database integration, persistent session memory, and automated webhook notifications.

🎯 Hobbies & interests

  • Travelling
  • Painting

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