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varshahindupur09/README.md

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πŸš€ Hi there, I'm Varsha Hindupur

Full Stack Engineer | Cloud Architect | AI Researcher


πŸ“Œ Profile Overview

πŸŽ“ M.S. Information Systems @ Northeastern University
πŸ… AWS Certified Solutions Architect | Azure Fundamentals Certified
πŸ’Ό 5+ Years Experience in Full-Stack Development & Cloud Engineering
πŸ”¬ Published Researcher in Secure Data Communication & Spatial Intelligence
πŸš€ Building Scalable AI Solutions & Cloud-Native Applications πŸ’» Generative AI developer at Humanitarian AI/Stellis Labs where I work on developing LLM-based by fine-tuning LLMs. πŸ† Lead Research Assistant | Northeastern University. Handpicked by Prof. Kelly Wellman and Prof. Amy Pei to spearhead two high-impact ML/AI projects, delivering cutting-edge AI solutions to professors and key stakeholders. Played a pivotal role in advancing AI-driven research and large-scale data analysis.



πŸ› οΈ Technical Arsenal

☁️ Cloud & DevOps

AWS GCP Azure Terraform Docker

πŸ’» Frontend

React Next.js TypeScript TailwindCSS

βš™οΈ Backend

Node.js Python Java Flask

πŸ—„οΈ Databases

PostgreSQL Redis MongoDB

πŸ€– AI/ML

PyTorch TensorFlow HuggingFace


My Own Current On-Going projects!

This is a specialized e-commerce platform tailored for artisans and craft sellers. Unlike mainstream marketplaces that are cluttered with various products, HCS is exclusively designed to showcase and promote authentic handcrafted items, providing a dedicated space for genuine creators to market and sell their work. πŸ”ŠπŸ“’ πŸ“£ Let's collaborate if you wish to work on this with me! πŸ”ŠπŸ“’ πŸ“£

Current Contribution as "Generative AI Developer" in Humanitarian AI and Stellis Labs company.

Domain-Specific Vector Embedding Optimization: Fine-tuned embedding models on 5000 (synthetic cryptocurrency data) domain-specific data using contrastive learning, RAG-based dataset synthesis, and synthetic data generation, improving retrieval accuracy and performance.

Tech Stack: Hugging Face Transformers, RAG, Llama 3 - 70B (Groq), ChromaDB, all-MiniLM-L12-v2, mxbai-embed-large, Python.

Developing a centeralized solution for "on a given problem statement, recieving an array of solution strings as input, then intelligently merging them into a single, coherent solution while adhering to LLM token limits." **Solution: ** Utilizing Hierarchial Processing Pipeline strategy to Chunk, Summarize using HuggingFace embedding models. GitHub Issue GitHub Repo

LLM-powered meeting summarization tool using custom prompt engineering to extract key takeaways, action items, and insights. Built with GPT-4, LangChain, and Streamlit. Enables faster, clearer understanding of meeting content. Audio/Videos processed to generate transcript (pipeline) built using WhisperAPIs.

AI-powered patient prioritization using RAG architecture with Groq and ChromaDB. Assigns triage levels based on severity with real-time processing. YouTube

This project showcases how Retrieval-Augmented Generation (RAG) can be implemented using LangChain and FAISS for building a context-aware chatbot. Integrates document loading, vector store indexing, and query processing for efficient response generation. Streamlined for easy deployment and extensibility using GCP Vertex AI. YouTube

πŸ† Featured Projects

This project demonstrates how EKS (kubectl) with Helm, Terraform provisioning can be used to deploy a Machine Learning model. Configures VPCs and developed APIs to fetch downstream data. Medium Article

A library that showcases the books they have! Demonstrating backend service development using Java, Springboot, Gradle, Docker, Redis, Jenkins (CI/CD).

Kubernetes-powered pharmacy platform handling 5k+ daily transactions with Stripe payments, real-time inventory tracking, and automated delivery scheduling.

Real-time sensitive data protection using TFAutoModelForTokenClassification, deployed on GKE with Grafana monitoring.

LSTM-based platform predicting air quality with 0.8 RMSE, featuring real-time data pipelines and a React dashboard.

Scalable weather analytics platform processing 1TB+ of SEVIR/GOES/NEXRAD data with Airflow ETL pipelines and Streamlit dashboards.

AI-driven dining platform with Gemma:2B chatbot for ordering, Snowflake analytics, and personalized menu recommendations.

CUDA-accelerated cancer prediction system achieving 98.7% accuracy with hybrid Dask/DDP pipelines and multi-GPU parallelism.

Demonstration of a real time event driven communication system for 2 applications: main app and admin app. Admin app can post products and main app which is for users can like the product. Tech Stack: RabbitMQ, Angular.js


Knowledge Base

High and Low Level System Design:


πŸ“š Latest Articles

Medium
Medium


πŸ“ˆ GitHub Stats

GitHub Stats GitHub Streak


πŸ† GitHub Trophies

trophy


πŸ’‘ Problem Solving Skills

LeetCode HackerRank

πŸ” Check my Algorithm Repository


Profile views

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  1. stellis-labs/Agents stellis-labs/Agents Public

    Multi Agentic Architectures for complex problem-solving.

    Jupyter Notebook 26 18

  2. Sensitive-Data-Shield-AI-Anomaly-Detection-Platform Sensitive-Data-Shield-AI-Anomaly-Detection-Platform Public

    Python

  3. AirCast-Predicting-Air-Quality-Using-Machine-Learning AirCast-Predicting-Air-Quality-Using-Machine-Learning Public

    Jupyter Notebook 1

  4. Weather-Explorer-Interactive-Weather-Data-Visualization Weather-Explorer-Interactive-Weather-Data-Visualization Public

    Python

  5. Cancer-Detection-with-High-Performance-Computing-HPC Cancer-Detection-with-High-Performance-Computing-HPC Public

    Lung and Cancer Detection

    Jupyter Notebook

  6. housing_price_prediction_model_deployment housing_price_prediction_model_deployment Public

    Deploying ML model on EKS

    HCL

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