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shruti-sivakumar/README.md

Hi, I'm Shruti Sivakumar 👋🏼

🎓 Final-year B.Tech CSE-AI @ Amrita Vishwa Vidyapeetham, Coimbatore, India.

I build production AI systems — NLP systems, large-scale data engineering, distributed ML pipelines, etc. Most of my work has shipped to production and is actively used.

Currently interning at RFPSchoolWatch (US, remote) on SLMs and procurement data pipelines, and previously at Visual Infomedia where I fine-tuned LLMs for document extraction and built a 37-portal government bid scraping platform (all live in production).

Research: 1 published IEEE paper · 3 accepted papers (Springer, IEEE) · topics span multimodal learning, generative models, time series forecasting

Achievements: 🏆 Myntra WeForShe HackerRamp 2024 Winner · 🥉 2nd Runner-Up at IEEE R10-HTC Innovation Challenge 2024, Kuala Lumpur

💼 Open to AI Engineering and Data Science roles, alongside Software Development.


Tech Stack

AI & ML

PyTorch HuggingFace scikit-learn NumPy Pandas

Backend & Data Engineering

FastAPI Apache Kafka Apache Spark PostgreSQL Redis MongoDB

Infrastructure

Docker Git AWS Azure

Languages

Python C++ SQL Scala


LeetCode

Leetcode Stats


Connect

LinkedIn

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  1. Realtime-Network-IDS Realtime-Network-IDS Public

    Real-time Network Intrusion Detection System built with Apache Spark, Kafka, and deep learning (CNN/LSTM) on the CSE-CIC-IDS2018 dataset. Extends state-of-the-art research with a live streaming det…

    Jupyter Notebook

  2. MixNMatchStudio-Myntra MixNMatchStudio-Myntra Public

    Forked from amri-tah/MixNMatchStudio-Myntra

    Myntra MixNMatch Studio and Style Showdown by Team InnovateHers 🎨👗 [Winners of Myntra WeForShe Hackerramp 2024]

    Python

  3. RHEA-Inverse-Design-Using-CVAE RHEA-Inverse-Design-Using-CVAE Public

    This project explores the inverse design of materials using a Conditional Variational Autoencoder (CVAE) framework trained on a curated dataset of Refractory High-Entropy Alloys (RHEAs). By leverag…

    Python 2

  4. Multimodal-Hateful-Memes-Detection Multimodal-Hateful-Memes-Detection Public

    Multimodal deep learning pipeline for hateful meme detection. Combines image and text features through fusion layers for binary classification on the Facebook Hateful Memes dataset.

    Jupyter Notebook

  5. Bitcoin-Forecasting Bitcoin-Forecasting Public

    Designed and compared linear, nonlinear, and deep learning time-series models for highly volatile financial data; conducted stationarity testing, residual diagnostics, and volatility analysis to gu…

    Jupyter Notebook 1

  6. Summer-Internship-25 Summer-Internship-25 Public

    Built two NLP solutions for automating business memo parsing and bid title keyword classification. Includes GPT-4o fine-tuning, DistilRoBERTa multi-label tagging, and a Streamlit app for internal d…

    Python