I build intelligent, production-ready applications by combining Machine Learning, NLP, and full-stack engineering. My focus is on turning data into scalable AI systems that integrate seamlessly into real-world software products.

I work at the intersection of AI/ML engineering and software development, creating end-to-end solutions that include:

• Data preprocessing & model training
• Model evaluation and optimization
• ML model deployment via APIs
• Backend integration of AI systems
• Scalable frontend + backend architectures

I design applications that are not only functional — but intelligent, data-driven, and decision-focused.

• Python (Pandas, NumPy, Scikit-learn, TensorFlow, XGBoost)
• Feature Engineering & Data Cleaning
• Classification, Regression, Clustering
• Model Evaluation (F1, ROC-AUC, MCC, Precision/Recall)
• Exploratory Data Analysis (EDA)
• ML Model Deployment & Integration
• Error Analysis & Data Validation

• Text preprocessing & embeddings concepts
• Document classification
• Entity extraction fundamentals
• LLM workflow understanding (prompt-driven systems)
• Exposure to RAG and semantic search pipelines

• Node.js, Express.js
• Django, Flask, Django REST Framework
• REST APIs & AI model inference services

• React, Redux, Next.js
• HTML5, CSS3
• Bootstrap, Material UI, Ant Design

• MongoDB, PostgreSQL, MySQL, SQLite, Redis

• Docker (container basics)
• Git & GitHub
• Postman
• CI/CD basics
• Cloud deployment (Firebase, Vercel)

A full-stack finance tracking system with structured data pipelines and interactive visualizations.

Scalable social media platform with REST APIs and Firebase backend services.

Multi-role job portal with authentication, advanced search, and backend business logic.

Reusable ML training and evaluation pipeline for benchmarking classification models.

Text preprocessing and document classification workflow with API-based inference.

I develop ML systems that go beyond experimentation:

• Built classification models optimized with evaluation metrics
• Designed model evaluation frameworks
• Performed error analysis to improve model robustness
• Integrated ML pipelines into production APIs
• Implemented data quality validation and labeling standards

• LinkedIn: www.linkedin.com/in/rohit-gupta-648378137
• Email: rgrohitgupta938@gmail.com

• I enjoy playing Cricket, Chess, and Badminton
• I like solving logical problems and exploring new technologies
• I actively build projects that combine AI + real-world software