Satyam Singh

Satyam Singh

NIT Nagaland [CSE] | Python Programmer | Machine Learning | Deep Learning | Flask Framework Developer | Object Detection Enthusiast

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About Me

👋 Hi, I'm Satyam Singh, a B.Tech student in Computer Science and Engineering at NIT Nagaland, driven by a passion for solving real-world problems through technology and innovation.

💻 With a strong foundation in Python, I specialize in Machine Learning, Deep Learning, and Natural Language Processing (NLP). My expertise includes building scalable applications, implementing advanced algorithms, and developing solutions using frameworks like TensorFlow, Scikit-learn, and Flask.

🚀 My journey in AI extends to mastering Deep Learning architectures such as ANN, CNN, RNN, LSTM, and GRU. I'm particularly fascinated by projects involving predictive modeling, recommendation systems, and real-time data analysis.

🌱 I thrive on learning and evolving, staying updated with the latest advancements in technology to contribute to impactful projects. My academic excellence (CGPA: 9.82) reflects my commitment to continuous improvement and technical rigor.

🤝 Let's connect!

My Startup

AetherMind

Founder & CEO
Website LinkedIn

AetherMind is a cutting-edge startup revolutionizing business automation through AI agent services. We specialize in building autonomous, adaptive, and intelligent agents that streamline workflows, boost productivity, and enable businesses to scale smarter.

Autonomous AI Agents

Developing AI agents that work independently to solve complex business problems

Workflow Automation

Streamlining operations through intelligent process automation

Business Scaling

Helping businesses scale operations efficiently with AI-powered solutions

Our Mission

To transform how businesses operate by creating intelligent AI systems that autonomously handle complex tasks, allowing human talent to focus on creativity and innovation.

Visit AetherMind

Experience

Artificial Intelligence Intern

Suvidha Foundation (Suvidha Mahila Mandal) Apr 2025 - Present · 1 mo Remote
Artificial Intelligence (AI) Large Language Models (LLM) + 4 skills
  • Leading research on LegalXRT, focusing on applications of LLMs in the legal domain

Artificial Intelligence Intern

Edunet Foundation Apr 2025 - Present · 1 mo Remote
Python Artificial Intelligence (AI) + 5 skills
  • Selected for AICTE-endorsed AI program, working on real-world problem statements with hands-on mentorship

Software Development Intern

Sasefied Apr 2025 - Present · 1 mo
Python Artificial Intelligence (AI) + 3 skills
  • Building an intelligent resume parsing system with AI-powered job matching and LinkedIn sourcing capabilities

Skills

Programming Languages

HTML
CSS
JavaScript
Java
Python
C

Web Development

React
Node.js
Express.js
MongoDB
Tailwind CSS
Flask
REST APIs
HTML/CSS

Frameworks & Libraries

TensorFlow
Scikit-learn
NumPy
Pandas
OpenCV
Matplotlib
Seaborn
BeautifulSoup
Gensim
Langchain
PyTorch
NLTK
SciPy
Streamlit

Machine Learning & AI

Machine Learning
Deep Learning
NLP
Object Detection
RAG
LLMs
AI Agents

Neural Networks

ANN
CNN
RNN
LSTM
GRU
Transformers
GANs
Bidirectional RNN/LSTM

Tools & Platforms

Git
GitHub
VS Code
PyCharm
Bootstrap
Kaggle
Hugging Face

Database & Backend

MongoDB
SQL
DBMS

Dev Tools

Postman
Docker
Render

Projects

Medical Das - RAG Application Chatbot

AI-powered system for retrieving and generating relevant medical insights from uploaded PDFs, enhancing information accessibility for healthcare professionals.

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Medical Das2.0 - AI-Powered Healthcare Assistant

Multimodal AI healthcare assistant enabling voice-based consultations and medical data analysis with integrated image processing capabilities.

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LawyerDas - RAG Application

Dynamic 3D UI chatbot leveraging DeepSeek R1, FAISS, and Groq to provide accurate legal information from uploaded documents.

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Web-UI Agent

An autonomous AI agent capable of browsing websites, extracting relevant content, and synthesizing answers using LLMs and Retrieval-Augmented Generation (RAG). Designed to execute user queries and follow instructions across multiple data sources.

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Customer Satisfaction Prediction (MLOps)

Machine learning project focused on predicting customer satisfaction using Linear Regression. Integrates MLOps practices using ZenML, MLflow, and Docker for pipeline orchestration, model tracking, and deployment.

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WebMind

An AI-powered web analytics tool that scrapes, analyzes, and summarizes online content. Utilizes NLP techniques and machine learning to deliver insights from large-scale web data efficiently.

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Next Word Predictor

A custom LSTM-based neural network(implemented in both Pytorch and Tensorflow) trained to predict the next word in a sentence. Built using a self-curated dataset, the model demonstrates sequence modeling capabilities for natural language applications.

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People Counter

Real-time object detection system using YOLO and OpenCV to count people in a video stream. Built for crowd monitoring and similar applications, inspired by the car counter project.

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Credit Scoring Model

Machine learning model for predicting loan repayment likelihood, achieving 80% accuracy.

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Movie Recommender System

Personalized movie recommendations built with NLP and Flask backend for efficient handling.

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SMS Spam Classifier

Spam classifier using NLP and Naive Bayes for high accuracy in SMS filtering.

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Car Counter

Deep learning-based application for counting cars in real-time from video feeds.

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Todo App

A minimalist and fast todo-list web app built using React and Vite. Implements CRUD functionality with a responsive design and seamless user experience.

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Netflix Clone

A fully functional frontend clone of Netflix, replicating its sleek UI/UX and streaming interface. Built using modern web technologies for practice in responsive web development.

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Portfolio Website

This portfolio! Designed and built to showcase my skills and work.

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Connect with Me

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