Sourabh Namdev
Sourabh Namdev

AI/ML Engineering Undergraduate

Actively looking · Member since 11 Nov 2026
Location
Bhopal, India
Desired salary
Unspecified
Work preference
Remote Only / Full Time, Internship
Experience level
Junior

About

Professional summary

I am a fourth-year B.Tech student specializing in Artificial Intelligence and Machine Learning at LNCT University, Bhopal. I build practical AI applications using Python, machine learning, deep learning, NLP, computer vision, and generative AI.

I have hands-on experience developing backend-driven AI projects with FastAPI, REST APIs, Pydantic, Streamlit, and LLM inference through the Groq API. I focus on creating structured, validated outputs and maintainable modular applications.

My generative AI work includes LangGraph workflows, prompt engineering, text parsing, chunking, embeddings, vector search, and basic RAG prototypes. I have built applications for product discovery, resume analysis, and interview preparation.

I also work with computer vision and geospatial AI. My projects include a real-time driver drowsiness detection system and an in-progress U-Net cloud-removal model for LISS-IV satellite imagery.

I am comfortable with model evaluation, data cleaning, EDA, PCA, testing, debugging, Git-based collaboration, and CI workflows. I have deployed projects using Vercel, Render, and Streamlit.

I am seeking junior opportunities where I can contribute to applied machine learning, generative AI, computer vision, or Python backend projects while continuing to grow as an AI/ML engineer.

Skills

25 capabilities

Tech stack & tools

Working toolkit

Application Hosting

Data Stores

Languages & Frameworks

Experience

Career history

AI/ML for Geospatial Data Analysis Training Program IIRS, ISRO Dehradun

Completed a two-week online AI and machine learning program for geospatial data analysis, covering Python-based image processing, machine learning, and ANN-based deep learning. Achieved a 95% score across assignments.

Built an in-progress U-Net cloud-removal model for LISS-IV satellite images using Python, PyTorch, NumPy, Rasterio, GDAL, OpenCV, and Albumentations. Worked on dataset curation from ISRO/NRSC's Bhoonidhi archive and the model training pipeline.

Data Science Virtual Intern Altair | RapidMiner Academy, India Edu Program

Built customer churn prediction models using Altair RapidMiner AI Studio, covering data preparation, model building, and performance evaluation.

Conducted exploratory data analysis and PCA, compared regression and classification approaches, and evaluated model performance to identify an appropriate fit for the churn dataset.

Education

Learning history

LNCT University, Bhopal

Bachelor of Technology, Artificial Intelligence & Machine Learning

Fourth-year B.Tech student in Artificial Intelligence and Machine Learning. CGPA: 7.35/10.

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