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Kritarth Ranjan

@kritarthranjan

AI/ML engineer specializing in MLOps, deep learning, and LLM fine-tuning to deliver scalable, production-ready machine learning solutions.

India

Message

What I'm looking for

I seek roles building production ML systems—MLOps, LLM fine-tuning, and ASR/NLP—at teams that value reproducible pipelines, collaboration, and applied research.

I am an AI/ML engineer with hands-on experience in MLOps, deep learning, LLM fine-tuning and production deployments. I have built and optimized models (LLAMA2 fine-tuning, diffusion models, DQN RL agents), developed developer-facing tools, and implemented scalable pipelines using Docker, FastAPI and CI/CD practices.

My internships at IIT Bombay and other organizations involved building ASR data pipelines, training PyTorch/Transformer models with CUDA, and deploying research prototypes. I focus on reproducible, efficient ML workflows (MLflow, DVC, Git), practical model evaluation, and delivering solutions that integrate into developer and product workflows.

Experience

Work history, roles, and key accomplishments

AI Engineering Intern

IIT Bombay

Oct 2024 - Apr 2025 (6 months)

Built data pipelines and assisted in training ASR models using PyTorch and Transformers, deployed research prototypes with Docker and FastAPI, improving scalability and annotation workflows for large-scale speech datasets.

PyTorch Transformers CUDA Docker fastAPI Data Pipelines Model Training

Data Engineering Intern

IIT Bombay

Aug 2024 - Oct 2024 (2 months)

Created data generation and preprocessing pipelines and trained transcript-generation models to improve ASR post-editing accuracy for the Vāgyōjakā tool, enhancing annotation quality and model performance.

Python Pandas ASR Models Data Pipelines Annotations Model Training Git Linux

ML & AI Intern

Coding Jr

Jun 2024 - Aug 2024 (2 months)

Fine-tuned LLMs for code generation and developed a VS Code extension to provide real-time code suggestions, improving suggestion relevance and integrating models into developer workflows.

Python TensorFlow Fine Tuned LLMs Model Evaluation Git

Data Science Trainee

Pantech E-Learning

Sep 2022 - Oct 2022 (1 month)

Worked on supervised and unsupervised ML models and NLP tasks including text classification and entity recognition, completing practical projects on data preprocessing and model evaluation.