Amritanshu Yadav

Full-Stack AI/ML Engineer | Final-Year Student

Lucknow, IN.

About

A driven final-year engineering student with proven expertise in developing full-stack web applications and AI-powered tools. Adept at leveraging modern frameworks, cloud deployment, and database management systems to build scalable solutions. Passionate about applying LLMs and agentic workflows to solve real-world problems and drive innovation.

Work

Smart India Hackathon 2024

|

Team Lead (AYUSH Portal)

New Delhi, Delhi, India

→

Summary

Led a team for the Smart India Hackathon 2024, developing a multilingual web portal for the AYUSH sector, enhancing digital access to medical services.

Highlights

Engineered a multilingual portal with role-based login, RESTful APIs, and fine-tuned medical chatbot integration, reducing processing time and paperwork by 50%.

Woodpecker Hackathon

|

Team Head (Natural Language DBMS)

Bengaluru, Karnataka, India

→

Summary

Headed a team at Woodpecker Hackathon to design and deploy an AI tool for converting natural language input into SQL queries, improving database interaction.

Highlights

Designed and deployed an AI tool to convert user input into SQL queries using Gemini + Django, achieving 90% precision in database handling.

Smart India Hackathon 2023

|

Team Lead (AI Legal Assistant)

New Delhi, Delhi, India

→

Summary

Led a team at Smart India Hackathon 2023 to build an AI-powered legal chatbot, simplifying complex Indian legal acts for broader understanding.

Highlights

Built chatbot using KYR + Gemini API to translate Indian legal acts into plain, multilingual language with contextual accuracy, reducing user doubts by 50%.

Education

International Institute of Information Technology, Naya Raipur

Naya Raipur, Chhattisgarh, India
→
B.Tech Electronics and Communication Engineering Grade:

Courses

Data Structure and Algorithms

Operating Systems

AI/ML

Cloud Computing

DBMS

Publications

Cvision: A Deep Learning Framework for Cataract Detection using Smartphone

IEEE CCNCPS, Dubai

Presented Cvision at IEEE CCNCPS, detailing CNN architecture, TFLite optimization, and mobile deployment strategies for real-world impact.

Languages

English

Skills

Languages

Python, C++, Java, JavaScript, TypeScript, HTML, CSS.

Frameworks

React.js, Next.js, Node.js, Express.js, Flask, FastAPI, Django, TailwindCSS.

Databases

MongoDB, MySQL, PostgreSQL, SQLite, Firebase.

AI/ML Tools

TensorFlow, PyTorch, Sklearn, OpenCV, Manim, Transformers, HuggingFace, Gemini API, LangChain.

Dev Tools

Git, GitHub, Jira, BitBucket Docker, Jupyter, Colab, Netlify, Vercel, n8n, Crew.AI, Postman.

Projects

Visaire: Text-to-Animation Tool

→

Summary

Architected an innovative text-to-animation tool, enabling rapid video rendering and enhanced scalability through advanced natural language processing.

Cvision: Cross-Platform Cataract Screening App

→

Summary

Developed a cross-platform cataract screening application leveraging advanced AI models and integrating Gemini API for enhanced diagnosis and accessibility.

Academia Chatbot: Neural Network Campus Information System

→

Summary

Developed a custom neural network chatbot designed to provide accurate campus information with high query relevance and secure user data handling.