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Nitin dumka

@nitindumka

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AI/ML engineer building deep learning, computer vision, and LLM systems with end-to-end pipelines.

India

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What I'm looking for

I’m looking to build healthcare AI and scalable intelligent systems—developing ML/LLM pipelines, computer vision solutions, and measurable products in a research-driven team.

I’m an AI/ML Engineer focused on deep learning, computer vision, and LLM-based systems, with hands-on experience building end-to-end pipelines. I develop and deploy ML solutions achieving up to 91% accuracy, and I’m especially drawn to healthcare AI and scalable intelligent systems.

In my research at IIT Jodhpur (SAIDE Lab), I worked on 3D medical image segmentation using U-Net variants, improving voxel-wise prediction consistency across datasets. I also built preprocessing pipelines for volumetric MRI data to enhance input quality and training efficiency.

Across industry and remote internships, I’ve delivered practical LLM + RAG pipelines for conversational data analysis, built predictive ML models on sustainability datasets (improving stakeholder engagement by 18%), and engineered AI-powered full-stack applications. I enjoy turning data into reliable systems—whether it’s route-based hospital recommendations or computer-vision-based proctoring—backed by strong data handling, visualization, and deployment skills.

Experience

Work history, roles, and key accomplishments

AI/ML Research Intern

IIT Jodhpur (SAIDE Lab)

Mar 2026 - Jun 2026 (3 months)

Developed and optimized 3D medical image segmentation models (U-Net variants), improving voxel-wise prediction consistency across datasets. Implemented preprocessing pipelines for volumetric MRI data to enhance input quality and training efficiency.

3D Medical Image Segmentation U Net MRI Preprocessing Optimization Voxel Wise Prediction Deep Learning Computer Vision

Conversational Data Analysis Intern

VOIS Vodafone Idea Foundation

Sep 2025 - Oct 2025 (1 month)

Designed and implemented LLM + RAG pipelines to extract insights from conversational datasets. Improved response relevance and retrieval accuracy through pipeline enhancements.

LLM Development Retrieval Accuracy NLP Conversational Analytics Pipeline Engineering

Remote Sensing Trainee

ISRO IIRS Dehradun

Sep 2025 - Oct 2025 (1 month)

Processed and analyzed satellite imagery for geological applications, improving data extraction workflows. Built preprocessing pipelines for raw satellite datasets to increase data quality for downstream analysis.

Satellite Imagery Analysis Remote Sensing Image Processing data preprocessing Geological Data Use Workflow Optimization

ESG Data Science Intern

Infosys Springboard

Aug 2025 - Oct 2025 (2 months)

Built predictive ML models on sustainability datasets, improving stakeholder engagement by 18%. Automated ETL pipelines using Python and SQL, reducing manual data handling by 25%.

predictive modeling Machine Learning Python SQL ETL Data Pipelines Data Cleaning

AI/ML Engineer & Web Developer

Northrop I/O Technologies

Jul 2024 - Aug 2024 (1 month)

Developed AI-powered applications using full-stack implementation, improving system usability and deployment efficiency. Built a route-based hospital recommendation system using location and accessibility data to improve end-user decision-making.

Fullstack Development AI Application Development Recommendation Systems Location Data Accessibility Data Modeling Deployment Usability Software Engineering

Education

Degrees, certifications, and relevant coursework

Graphic Era Hill University

Bachelor of Technology (B.Tech) in Computer Science Engineering, Computer Science Engineering

Pursuing a B.Tech in Computer Science Engineering at Graphic Era Hill University. Relevant coursework includes data structures, DBMS, AI, machine learning, operating systems, and statistical analysis. Expected graduation: May 2027.