full-stack-mlops-portfolio

Strengths

1. Academic Background :

• Your M.Sc. in Mathematics and Computing from BHU and B.Sc. in Applied Mathematics from JMI provide a solid theoretical foundation in mathematics, which is crucial for research and technical problem-solving.
• Your coursework in areas like differential geometry, optimization, and numerical methods highlights your ability to tackle complex mathematical problems.

1. Research Experience :

• IIT Delhi : Your work on LLM-based tools for OpenAPI specification generation and multi-agent systems demonstrates expertise in cutting-edge AI technologies and practical applications of large language models.
• QWorld : Experience with quantum algorithms like HHL and VQA shows your ability to work on advanced topics in quantum computing, a niche and highly sought-after field.
• Devtern : Your work on ML pipelines and achieving high accuracy in predictive models showcases your practical skills in machine learning and data science.

1. Technical Skills :

• Proficiency in programming languages (Python, C/C++, MATLAB, Julia) and frameworks (PyTorch, FastAPI, MLFlow) makes you versatile for both research and industry roles.
• Experience with tools like Qiskit and Pennylane highlights your ability to work in quantum computing and scientific simulations.

1. Interdisciplinary Expertise :

• Your ability to combine mathematical modeling, machine learning, and AI tools positions you well for roles that require interdisciplinary problem-solving.

1. Soft Skills :

• Problem-solving, analytical thinking, and communication skills are essential for both research and industry roles, and your profile highlights these strengths.

1. Certifications and Courses :

• Your certifications in data science, machine learning, and quantum computing demonstrate a commitment to continuous learning and staying updated with the latest technologies.

Suitability for Research Roles

• Why You're a Good Fit :
• Your research experience at IIT Delhi and QWorld shows that you can work on innovative projects and contribute to advancing knowledge in your field.
• Your strong mathematical background and interest in areas like differential geometry, modeling complex systems, and AI-driven automation align well with research-focused roles.
• Your ability to publish or document your work (e.g., Master's thesis) is a valuable skill for academic or industrial research.
• Potential Research Roles :
• Research Assistant or Research Scientist in AI, ML, or Quantum Computing.
• Ph.D. programs in Applied Mathematics, AI, or Quantum Computing.
• Research roles in labs focusing on scientific computing, optimization, or AI applications.

suitability for Industry Roles

• Why You're a Good Fit :
• Your practical experience in building ML pipelines, deploying models, and working with APIs makes you well-suited for industry roles.
• Your ability to work with large language models and multi-agent systems is highly relevant for companies working on AI-driven products.
• Your skills in data-driven decision-making and statistical methods are valuable for data science and analytics roles.
• Potential Industry Roles :
• Data Scientist or Machine Learning Engineer.
• AI/ML Research Engineer.
• Software Engineer in AI/ML or Quantum Computing.
• Technical Consultant for AI-driven automation or optimization projects.

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Suggestions for Improvement

1. Publications :

• If possible, publish your research work (e.g., LLM-based tools or quantum computing projects) in journals or conferences to strengthen your research profile.

1. Portfolio :

• Create a portfolio website or GitHub repository showcasing your projects, research, and code. This will make it easier for recruiters or professors to evaluate your work.

1. Networking :

• Attend conferences, workshops, or webinars in your areas of interest to connect with researchers and industry professionals.

1. Specialization :

• While your profile is diverse, focusing on a specific niche (e.g., AI for scientific computing or quantum machine learning) can make you stand out for specialized roles.

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Conclusion

Your profile is highly versatile and well-suited for both research and industry roles. You have a strong academic foundation, practical experience, and interdisciplinary expertise, which are valuable in today's job market. Tailor your applications to highlight your strengths based on the role you're applying for, and you'll have a competitive edge in securing research or technical positions.

Full Stack Machine Learning(MLOps)

Setup Requirements

1. Anaconda: https://www.anaconda.com/ conda create -n visa python=3.8 -y conda activate visa pip install -r requirements.txt
2. VS code : https://code.visualstudio.com/download
3. Git : https://git-scm.com/

git add .

git commit -m "Updated"

git push origin main

4. GitHub : https://github.com/

5. Flowchart: https://whimsical.com/

6. MLOPs Tool:

   • https://www.evidentlyai.com/
   • https://wandb.ai/site

7. Database :

   • https://account.mongodb.com/account/login
   • https://www.mysql.com/

Project Overview

1. Understanding Problem Statement
2. Understanding Solution Procedure and Solving Problem
3. Understanding Coding requirements and Implementing the solution
4. Deploymenet dependencies and deploy it.

1. How to train model on gpu in pytorch : https://github.com/PacktPublishing/Train-Large-Language-Models-Faster-Parallelism-Deep-Dive/tree/main
2. =