AI & Data Science

Amalakanti Siva Rama Surya Nandh.

M.Tech student building reproducible deep-learning, computer-vision, and data-driven software—with a focus on transparent evaluation, useful interfaces, and responsible engineering.

Portrait of Amalakanti Siva Rama Surya Nandh
Current focus Self-supervised learning, computer vision, and knowledge systems

About

Research curiosity, engineered into working software.

Based in Andhra Pradesh, India, I study Artificial Intelligence and Data Science at Kakinada Institute of Engineering & Technology.

I enjoy turning technical ideas into clear, testable projects. My current work spans self-supervised image fusion, natural-language processing, machine-learning applications, and the architecture of AI-native knowledge platforms.

Reproducibility matters to me: documented assumptions, versioned configurations, automated checks, and honest limits are part of the result—not afterthoughts.

Selected work

Projects built to be understood, tested, and extended.

Academic, research, and product-oriented work across machine learning and web engineering.

01 / M.Tech project

Label-Free Deep Learning for Image Fusion

An educational, self-supervised image-fusion implementation inspired by DeFusion. The repository includes a compact PyTorch CUD network, classical baselines, a Streamlit demo, command-line workflows, automated tests, and reproducible evaluation guidance.

PyTorch Computer Vision Streamlit CI
02 / B.Tech group project

Influencer Insight

A maintained reconstruction of a five-member final-year project. The Flask app uses NLP preprocessing and a transparent engagement formula to rank fictional sample influencer profiles, with validation, tests, and responsible-use notes.

Flask NLTK Pandas pytest
03 / Web engineering

Tavio Product Website

A responsive React marketing site built with a reusable component system, routing, light and dark modes, motion, structured SEO metadata, and GitHub Pages deployment support.

React Vite Tailwind CSS Framer Motion
04 / Architecture concept

Nandha.ai Knowledge Platform

An in-development architecture for storing knowledge in a canonical semantic model and rendering synchronized human and AI views. The concept covers import, semantic search, provenance, memory, verification, publishing, agents, and developer APIs.

Knowledge Graphs Semantic Search AI Agents Provenance

Education

A foundation in AI, data, and software engineering.

Formal study supported by project work in deep learning, NLP, cloud computing, and application development.

M.Tech, Artificial Intelligence & Data Science

Kakinada Institute of Engineering & Technology · Current student

B.Tech, CSE — Artificial Intelligence & Data Science

Kakinada Institute of Engineering & Technology · CGPA 7.64 / 10

Credentials

Selected certifications and learning milestones.

A concise selection focused on machine learning, data engineering, cloud, and AI.

Altair RapidMiner Academy

Applications & Use Cases Professional

Altair RapidMiner Academy

Data Engineering Professional

Microsoft

Microsoft AI Skills Challenge

AWS Academy

Machine Learning Foundations

AWS Academy

Cloud Foundations

IBM Developer Skills Network

Machine Learning with Python

Contact

Interested in thoughtful AI and research collaboration.

I welcome conversations about machine learning, computer vision, research projects, open-source work, and early-career opportunities.