Open to opportunities

Aryan Kumar

@aryankumar10

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Machine learning engineer focused on production-ready ML systems and scalable deployments.

India

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What I'm looking for

I seek a role building production ML systems where I can apply MLOps practices, optimize model performance, and work in a collaborative, growth-oriented engineering team.

I am a B.Tech Computer Science student with hands-on experience building end-to-end machine learning systems and deploying them to production. I focus on practical, reproducible pipelines that deliver measurable model improvements.

My projects include a real-time YouTube comments sentiment classifier, a Real Estate Intelligence Platform with geospatial analytics and recommendation logic, and a low-latency Mental Health Companion powered by a fine-tuned LLM.

I emphasize MLOps best practices: experiment tracking with MLflow, model versioning with DVC, containerization with Docker, and automated deployments on AWS (ECR, EC2, CodeDeploy, Load Balancers, Auto Scaling).

I continually sharpen my foundations in algorithms, ML and deep learning, and have completed DeepLearning.AI specializations while solving 400+ DSA problems to strengthen problem-solving and engineering skills.

Experience

Work history, roles, and key accomplishments

NLP / ML Researcher

Mental Health Companion

Jan 2025 - May 2025 (4 months)

Fine-tuned Tiny Llama for emotionally coherent mental-health conversations, halved inference latency, and integrated TTS for real-time speech on a Streamlit interface while implementing detailed conversation logging.

PyTorch Transformers Model Fine Tuning Streamlit TTS Data Annotation Logging

Machine Learning Engineer

Personal Projects

Built and deployed multiple end-to-end ML applications, including a YouTube comments sentiment classifier (86% F1) and a real-estate intelligence platform that reduced MAE by 18% and achieved R2=0.90, ensuring scalable deployment on AWS.

Python LightGBM PyTorch MLFlow Docker AWS Data Engineering

Education

Degrees, certifications, and relevant coursework

Delhi Technical Campus, GGSIPU

Bachelor of Technology, Computer Science and Engineering

2021 -

Grade: 8.695/10

Pursuing a B.Tech in Computer Science and Engineering with coursework in DS&A, Machine Learning, Deep Learning, DBMS, NLP, and statistics; achieved a CGPA of 8.695/10.