Aman Chaurasia

Machine Learning Engineer | Data Scientist | Generative AI Developer

Raichur, IN.

About

High-achieving Computer Science student with a strong foundation in developing scalable, high-accuracy predictive models and a proven track record in Generative AI. During a Data Science internship, successfully reduced generative AI latency by 30% and automated 75% of manual pipeline work. Proficient in Python, AWS, Docker, LangChain, and CI/CD tools, eager to apply advanced ML/AI expertise to drive impactful solutions.

Work

Krutanic Solutions

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Data Science Intern

Bangalore, Karnataka, India

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Summary

Led the deployment of AI/ML applications and optimized data pipelines, significantly enhancing predictive accuracy and operational efficiency.

Highlights

Deployed Python-based AI/ML applications, enhancing predictive accuracy by 15%.

Developed Retrieval-Augmented Generation (RAG) based GenAI applications using LangChain, reducing latency by 30%.

Systematized ML pipelines with MLflow, Airflow, and DVC, automating 75% of manual work.

Streamlined CI/CD deployment workflows on AWS using Git, Bash, and GitHub Actions.

Education

Indian Institute of Information Technology Raichur

Raichur, Karnataka, India
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Bachelor of Technology Computer Science Engineering Grade: 7.3/10 (Dean's List 2022-23)

Courses

Operating Systems

Algorithms

Artificial Intelligence

Machine Learning

Database Management Systems

Awards

Certificate of Recognition for Contributions as Cultural Secretary

Indian Institute of Information Technology Raichur

Recognized for significant contributions in the role of Cultural Secretary, demonstrating leadership and organizational skills.

First Place, Inter-IIIT Basketball Competition

Inter-IIIT

Awarded first place in the Inter-IIIT Basketball Competition.

Certificates

MLOps

Udemy

Machine Learning

Udemy

Generative AI

Udemy

Data Analytics Simulation

Deloitte

Skills

Programming Languages & Libraries

Python, Pandas, Scikit-learn, Flask, SQL, Bash.

Machine Learning

Supervised Learning, Unsupervised Learning, PyTorch, TensorFlow, AWS SageMaker.

Generative AI & NLP

LangChain, Hugging Face, Prompt Engineering, RAG (Retrieval-Augmented Generation).

Data Science

Exploratory Data Analysis (EDA), Feature Engineering, Data Visualization.

MLOps & Pipelines

MLflow, Apache Airflow, DVC, CI/CD, Docker, GitHub Actions.

Tools & Platforms

Git, AWS, Grafana, Tableau, Excel, Dagshub, PowerPoint, PowerBI, S3.

Web Development

React, TypeScript, Netlify.

Projects

End-to-End Student Performance Prediction

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Summary

Engineered a full-stack ML pipeline to predict academic risk with high model accuracy, optimizing training and deployment processes.

Automated NASA APOD Pipeline

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Summary

Designed a lightweight data pipeline and configured CI/CD for orchestrated ETL deployment, ensuring high operational uptime.

Mobile Price Prediction with AWS SageMaker

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Summary

Created an end-to-end ML model to predict mobile phone prices, leveraging AWS SageMaker for training and deployment.

Personal Portfolio Website

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Summary

Designed a high-performance personal portfolio website using modern web technologies.