AI / ML / RAG / GCP / Computer Vision
AI & Machine Learning Engineer
I build machine learning systems, RAG pipelines, data platforms, and cloud-backed AI products that turn raw data into useful decisions.
B.Tech IT — DIT University
Dehradun, India
Async AI endpoints
Graduation year
Featured projects
focus = {
"ml": ["LSTM", "Scikit-learn", "PyTorch"],
"rag": ["Vertex AI", "pgvector", "Gemini"],
"cloud": ["Cloud Run", "Cloud SQL", "Pub/Sub"],
"backend": ["FastAPI", "PostgreSQL", "Docker"]
}I am currently pursuing B.Tech in Information Technology at DIT University. Alongside my studies, I work deeply with machine learning, RAG pipelines, GCP services, FastAPI backends, computer vision, and data visualization.
My main interest is building complete AI systems: training or using models, connecting them with APIs, deploying them on cloud infrastructure, and turning the result into clean products that people can actually use.
AI + Data Platform
AI-powered data analysis platform that turns CSV files into conversational insights, statistics, visualizations, and ML workflows.
Computer Vision
Real-time vehicle detection and traffic analysis using YOLOv8, OpenCV, Python, and deep learning video processing.
Weather ML
Full-stack weather time-series prediction and visualization app for cities across the Netherlands.
ML + Deep Learning
Machine learning and deep learning project shared on LinkedIn, focused on practical computer vision experimentation.
Python + Data Science
Python-based data science and machine learning project shared as a practical learning and implementation milestone.
Production AI
Production RAG pipeline using Vertex AI embeddings, pgvector, Gemini 2.5 Flash, FastAPI, Cloud Run, Cloud SQL, Pub/Sub, and Cloud Storage.
Indixpert Technologies Private Limited is a technology company focused on applied IT, AI research, and real-world project development. During my certified AI Research & Development internship, I worked on practical AI modules and project discussions while designing and deploying a production RAG pipeline with Vertex AI embeddings, pgvector, Gemini 2.5 Flash, FastAPI, and Cloud Run. I also built semantic caching, async Pub/Sub processing, and automated escalation with sentiment scoring.
Currently studying Information Technology while building AI/ML, cloud, backend, and data-focused projects outside coursework.
I am open to AI/ML internships, backend projects, data platforms, computer vision work, and collaborations.
