Available for Summer 2026 internships

Hi, I'm Unnati Tank

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AI/ML engineering student who ships production systems — RAG chatbots, computer vision classifiers, and LangChain SaaS apps. Cut document-query latency 30% at Infynno Solutions. I love turning research-grade models into real products people can use.

0% latency reduction
0+ shipped projects
0+ users served
Portrait of Unnati Tank
Python
RAG
PyTorch
Flutter
01 — About

A quick intro

I'm a third-year B.Tech AI & ML student at CHARUSAT University (GPA 8.17/10) with a strong bias toward shipping. My favourite kind of work sits at the intersection of model research and production engineering — designing pipelines that survive contact with real users.

Recent highlights: built SmartChat, a TinyLlama + FAISS RAG chatbot that cut query latency 30%; led the AI pipeline for MeetFlow, a meeting-to-task SaaS that placed Top 100 of 502 teams at CHARUSAT Hacks 2026; and deployed an offline Flutter law app on the Play Store.

When I'm not coding, you'll find me at hackathons, leading workshops for the AI/ML club, or exploring the next paper out of the LLM world.

🧠

What I build

RAG & agentic LLM systems, CV models, and the FastAPI/Next.js apps to deploy them.

How I work

Architecture-first, performance-tuned, end-to-end ownership from notebook to user.

🎯

What I'm chasing

An ML engineering internship where models meet real users and real metrics.

02 — Toolkit

Skills & Stack

⌨️ Languages

Python Dart JavaScript C / C++

🤖 AI & Machine Learning

PyTorch scikit-learn LangChain Hugging Face TensorFlow FAISS XGBoost Pandas / NumPy

🌐 Web & Mobile

FastAPI Flutter Next.js React Node.js Tailwind CSS

🛠️ Tools & Platforms

Git & GitHub Docker Supabase Jupyter / Colab Power BI Tableau

🎯 Specializations

Retrieval-Augmented Generation (RAG) Natural Language Processing Prompt Engineering Deep Learning Computer Vision
03 — Experience

Where I've worked

May 2025 – Jun 2025

AI Intern · Infynno Solutions LLP

Ahmedabad, India · On-site

  • Engineered SmartChat, a production-ready RAG chatbot using TinyLlama and FAISS vector search, cutting document query response time 30% vs. the baseline.
  • Shipped an end-to-end NLP pipeline covering embedding generation, vector similarity search, and context-aware response synthesis, served through a Gradio UI.
  • Owned the full lifecycle — architecture design through performance tuning — collaborating with the engineering team.
TinyLlamaFAISSRAGGradioNLP

Education

2023 – 2027 · GPA 8.17 / 10

B.Tech in Artificial Intelligence & Machine Learning

CSPIT, Charotar University of Science and Technology, Anand, India

04 — Selected Work

Featured Projects

Six projects spanning production internships, hackathon wins, and live Play Store apps.

05 — Document
06 — Say hi

Let's build something

Open to internships, hackathon teammates, and ML-powered product collaborations. I usually reply within 24 hours.

Anand, Gujarat, India