— HELLO, I'M

Niyam Jain

AI Software Engineer

Specializing in AI, Machine Learning, LLMs & Full-Stack Development. Building intelligent systems that solve real-world problems.

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About Me

Engineer. Problem-solver. AI enthusiast.

I'm a Computer Science graduate student at the New Jersey Institute of Technology with a deep passion for artificial intelligence and machine learning. My journey spans from building deep learning models for computer vision to developing full-stack web applications.

I thrive at the intersection of AI research and practical software engineering — taking complex ML concepts and turning them into production-ready solutions. Whether it's training neural networks, optimizing database pipelines, or crafting intuitive user interfaces, I bring the same mindset: solve real problems with clean, maintainable code.

When I'm not coding, I'm exploring the latest in generative AI, contributing to open-source projects, or diving into research papers on transformer architectures.

Education

M.S. Computer Science, NJIT

Location

Newark, NJ

Focus

AI / ML Engineering

Experience

Where I've built, shipped, and learned.

Sept 2025 - Dec 2025Newark, NJ

Web Developer & Teaching Assistant

New Jersey Institute of Technology

Built high-performance web applications and assisted in teaching computer science coursework. Optimized WebGL rendering pipelines and developed 3D molecular visualization tools for academic research.

Improved WebGL rendering performance by 40% for 3D molecular visualization platform.

JavaScriptTypeScriptWordPressWebGLThree.js

Dec 2023 - Feb 2024Pune, India (Hybrid)

Python Developer Intern

Profitbooks Solutions Pvt. Ltd.

Developed automated financial report generation systems and optimized database architectures. Built balance sheet automation pipelines using SQLAlchemy and Django, reducing manual processing time significantly.

Reduced balance sheet generation time by 60% through automated SQLAlchemy pipelines.

PythonMySQLDjangoSQLAlchemyREST APIs

Dec 2023 - Mar 2024Remote

AI-ML Intern

All India Council for Technical Education (AICTE)

Completed advanced certifications in Emerging Technologies and Cloud Computing. Gained hands-on experience with IBM Cloud and AWS services, building and deploying ML models in production cloud environments.

Earned certifications in AI/ML, Cloud Computing, and Emerging Technologies from AICTE & IBM.

AI/MLIBM CloudAWSPythonTensorFlow

Projects

Things I've built and experimented with.

AI / LLM

Research Document Processing & Semantic Search

Enterprise-level research analysis platform using multi-level batching, hierarchical chunking, vector retrieval pipelines, and LLM-based reasoning to process 1000+ page documents. Produces embeddings, executes topic-conditioned retrieval, cross-paper summarization, and maintains a persistent vector store for accelerated RAG-based queries.

PythonLLMsRAGVector DBNLP

Code Live Demo

Full Stack

HireInsight: Interview Platform

Full-stack interview platform integrating WebRTC for live video interviews with AI-powered interview analysis and automated report generation. Connected Node.js and Flask backend APIs with a React frontend for seamless interaction.

ReactNode.jsFlaskMongoDBWebRTCNLP

Code

AI / LLM

Personalized AI Newsletters

AI-powered newsletter system with end-to-end workflow automation using LLMs for automated news summarization, ranking, and domain-specific content creation. Features fully automated pipelines from data ingestion to delivery.

PythonOpenAI APIN8NGoogle Apps ScriptREST APIs

Code Live Demo

Deep Learning

Stock Price Prediction

LSTM-based deep learning model for predicting stock market trends using historical data. Implements RNN architecture with TensorFlow for time-series forecasting.

PythonTensorFlowLSTMPandasMatplotlib

Code

Deep Learning

Student Face Verification

Real-time face recognition system for student identity verification using OpenCV and deep learning embeddings. Features live camera feed processing.

PythonOpenCVDeep LearningNumPy

Code

Deep Learning

Cat vs Dog Classifier

Convolutional Neural Network trained to classify images of cats and dogs with high accuracy. Features data augmentation and transfer learning techniques.

PythonTensorFlowCNNKerasOpenCV

Code

Machine Learning

Movie Recommender System

Collaborative filtering recommendation engine built on the MovieLens dataset. Uses matrix factorization and similarity algorithms for personalized suggestions.

PythonScikit-learnPandasNumPyFlask

Code

Full Stack

Talkathon - Real-time Chat

Full-stack real-time chat application built with Flask and Socket.IO. Supports multiple chat rooms, message persistence, and live user presence indicators.

PythonFlaskSocket.IOJavaScriptSQLAlchemy

Code

Full Stack

Expense Tracker

Web application for tracking personal expenses with categorization, analytics dashboards, and data export. Built with Flask and SQLAlchemy ORM.

PythonFlaskSQLAlchemyChart.jsBootstrap

Code

Machine Learning

Iris Classification

SVM-based machine learning classifier for the Iris flower dataset. Implements hyperparameter tuning and cross-validation for optimal accuracy.

PythonScikit-learnSVMMatplotlib

Code

Python

Memory Master Game

Interactive memory card matching game built with Python Turtle graphics. Features multiple difficulty levels and score tracking with animated card flips.

PythonTurtle GraphicsOOP

Code

Skills & Tools

Technologies I work with every day.

Languages

PythonJavaJavaScriptTypeScriptSQLC++

AI / ML

TensorFlowPyTorchScikit-learnOpenCVKerasPandasNumPy

Frameworks

ReactNext.jsFlaskDjangoNode.jsThree.js

Cloud & DevOps

AWSIBM CloudDockerGitGitHubMySQLMongoDB

Get in Touch

Have a project in mind? Let's connect.

I'm always open to discussing AI/ML projects, full-stack opportunities, or just interesting technical problems. Feel free to reach out.

niyamjain2003@gmail.com

GitHub