ARASTU THAKUR

Machine Learning Engineer | AI/ML Researcher
Bengaluru, IN.

About

Highly accomplished Machine Learning Engineer and published researcher with a strong foundation in deep learning, NLP, and production-grade AI systems. Currently at Intel, optimizing operating systems and developing internal AI tools that boost engineering workflows. Proven ability to deliver scalable solutions, demonstrated through impactful projects like a real-time market analysis dashboard and an MRI image denoiser, and skilled in Python, TensorFlow, PyTorch, Docker, Kubernetes, and cloud platforms.

Work

Intel
|

System Software Engineer

Bengaluru, Karnataka, India

Summary

Leading the optimization of operating systems and development of internal AI tools to enhance engineering workflows at Intel.

Highlights

Automated robust performance benchmarking pipelines, significantly reducing manual validation effort by 30% and accelerating release cycles.

Collaborated cross-functionally with 3+ engineering teams to design and deploy scalable low-level system solutions, enhancing operational efficiency for internal users.

Intel
|

Graduate Technical Intern

Bengaluru, Karnataka, India

Summary

Developed and deployed internal AI tools to optimize engineering workflows and gain practical experience in scalable system design.

Highlights

Developed and implemented internal AI tools, optimizing engineering workflow cycle time by 20% and improving developer productivity.

Successfully deployed critical AI tools to over 40 engineers, directly contributing to enhanced team efficiency and gaining practical experience in scalability, security, and CI/CD best practices.

Volunteer

Microsoft Student Ambassador
|

Ambassador

Summary

Promoted technology literacy and mentored peers, fostering a vibrant learning community.

Highlights

Organized and led workshops to enhance technology literacy among students and peers.

Provided mentorship and guidance to students interested in technology careers and projects.

Education

Jain (Deemed-to-be) University

Bachelor of Technology

Computer Science

Grade: 9.757/10

Courses

Data Structures & Algorithms

Operating Systems

Database Management Systems

Computer Networks

Machine Learning

Web Development

Software Engineering

Cloud Computing

Awards

Full-tuition Study in India Scholarship

Awarded By

Jain (Deemed-to-be) University

Secured a prestigious full-tuition scholarship, placing in the top 5% of over 10,000 applicants.

Top 5% on LeetCode

Awarded By

LeetCode

Ranked in the top 5% on LeetCode, demonstrating exceptional problem-solving skills with over 850 problems solved and 39 Badges.

1st Runner-Up – JAIN x Honeywell Hackathon 2024

Awarded By

JAIN x Honeywell

Achieved 1st Runner-Up in the JAIN x Honeywell Hackathon, focusing on the Fire-Safe Environment theme.

Certificates

Advanced Machine Learning Operations

Issued By

Duke University

Generative AI Engineering with LLM

Issued By

IBM

DevOps: Complete Course

Issued By

Packt

Skills

Programming Languages

Python, Java, C++, R, C.

Data Analysis & Visualization

Pandas, NumPy, Seaborn, Excel, Tableau, Power BI, SQL, Data Interpretation, Reporting.

Machine Learning & AI

TensorFlow, PyTorch, Scikit-learn, Generative AI, Autoencoders, Self-Attention, Model Evaluation, Feature Engineering, Deep Learning, Natural Language Processing (NLP).

DevOps & Deployment

Docker, Kubernetes, Jenkins, CI/CD, AWS, Azure.

Development Tools

Git, VS Code, Jupyter Notebook, Anaconda.

Soft Skills

Requirements Analysis, Cross-functional Teamwork, Problem Solving, Mentorship, Research & Development.

Projects

50 Days 50 Data Analysis Project

Summary

A comprehensive data analysis project leveraging Power BI, Tableau, Excel, and SQL to generate actionable insights.

MRI Image Denoiser

Summary

Developed an MRI image denoiser using advanced deep learning techniques to improve image quality for medical applications.

Market Analysis Dashboard

Summary

Built an AI-powered real-time dashboard for market analysis, tracking stocks and integrating predictive models.