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meena1905/README.md

Hi, I'm Meenakshi 👋

AI/ML Engineering Student

LinkedIn Email Blog


About Me

I'm a Forth-year AI & ML Engineering student at Atria Institute of Technology, Bengaluru.I build end-to-end AI systems from model selection and pipeline design to deployment. My focus is on applications that actually ship: automated GenAI workflows, RAG-based assistants, and ML systems on real-world data.

  • Founding AI and Full Stack Engineer Intern @ Lumoscale (May 2026 – June 2026)
  • B.E. in AI & ML, Atria Institute of Technology
  • Bengaluru Karnataka, India

Tech Stack

Programming Python C++ SQL

Generative AI & NLP LangChain LangGraph TensorFlow Keras Prompt Engineering RAG NLTK SpaCy

Machine Learning & Deep Learning Scikit-learn Neural Networks Regression Classification End-to-End ML Pipelines

Data Science Pandas NumPy Matplotlib Seaborn

Tools & Deployment FastAPI Flask Docker GitHub Streamlit Render Jupyter Notebooks


Projects

Fully automated AI-powered news digest with personalized daily email delivery

Built an automated pipeline that scrapes AI and tech articles from HackerNews and Dev.to, summarizes them using Groq LLMs, personalizes content based on user interests, and delivers daily email digests. The pipeline is orchestrated using LangGraph and automatically triggered every morning through GitHub Actions.

Python LangGraph LangChain Groq FastAPI Supabase PostgreSQL Playwright SendGrid Docker GitHub Actions

AI-powered recruitment platform for intelligent resume screening and interview scheduling

Built a full-stack recruitment platform that scores and ranks candidates against job descriptions with AI-generated match explanations. Includes resume uploads, HR applicant management, multi-slot interview scheduling, automated meeting links, email notifications, calendar invites, and hiring analytics.

Python FastAPI Next.js React TypeScript PostgreSQL Redis Groq SQLAlchemy Docker


Document-based conversational AI system using Retrieval-Augmented Generation

Built a multi-format document Q&A system supporting PDF, DOCX, and TXT files. Uses FAISS and HuggingFace embeddings for retrieval and multiple LLM providers for context-grounded answers. Includes conversational memory, source citations, streaming responses, confidence verification, and provider comparison.

Python LangChain FAISS HuggingFace Groq OpenAI Anthropic Gemini Streamlit


Achievements

Top 600 — IQigai GenAI Fellowship, Fractal Analytics Ranked Top 600 out of thousands in Round 2 of the IQigai GenAI Fellowship AI Challenge.

First Runner-Up — Inceptus 2025, Tech Ratri Built an AI security solution with access control, AES encryption, and breach detection — out of 50+ competing teams.


Technical Writing

I write about LLM inference, agentic AI architecture, finetuning, and GenAI on my blog Neural Notes.

Neural Notes


Position of Responsibility

  • Professional Service Director, Rotaract Club, Atria Institute of Technology — Jun 2025 – July 2026
  • International Service Director, Rotaract Club, Atria Institute of Technology — Mar 2026 – Jun 2025

meenakshis3019@gmail.com

Pinned Loading

  1. AI_News_Aggregator AI_News_Aggregator Public

    Automated GenAI pipeline that scrapes AI news, generates LLM-powered summaries with Groq, and delivers personalized daily email digests using LangGraph and GitHub Actions.

    HTML

  2. AI-Recuitment-Platform AI-Recuitment-Platform Public

    AI recruitment platform with automated resume scoring, ranking, and multi-slot interview scheduling. Candidates get instant AI match scores; HR reviews ranked applicants and sends interviews with a…

    TypeScript

  3. AI-RAG-Agent AI-RAG-Agent Public

    Multi-LLM RAG assistant for querying PDF, DOCX, and TXT documents in natural language, with chat memory, source citations, and confidence scoring.

    Python

  4. meena1905 meena1905 Public

    My GitHub profile README