You will get LLM fine-tuned to improve on llm-leaderboard benchmark
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Project details
With over 3+ years of experience working on NLP projects at different companies like Dell, I can deliver projects with the highest quality. Improving LLM performance is not just about fine-tuning, there are other strategies like merging models and knowledge distillation from teacher model etc
AI Algorithms
Large Language ModelAI Applications
Sequence ModelingAI Development Language
PythonAI Tools
PyTorchAI Models
LLaMAWhat's included $350
These options are included with the project scope.
$350
- Delivery Time 7 days
- Number of Revisions 3
- Model Tuning
- Natural Language Processing
- Prompt Engineering
- Source Code
Optional add-ons
You can add these on the next page.
Synthetic data creation, model deployment
(+ 5 Days)
+$350Frequently asked questions
26 reviews
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AV
Ana V.
Jun 19, 2025
Machine Learning Engineer
I’m thrilled to share my experience working with Shiva on our recent LLM project:
Shiva’s depth of knowledge in large language models is very impressive. From day one, he demonstrated a clear grasp of cutting-edge architectures, prompt engineering best practices, and fine-tuning strategies that perfectly aligned with our goals.
What sets Shiva apart is his razor-sharp attention to detail. Whether it was debugging unexpected tokenization issues or calibrating our evaluation metrics, he spotted subtle inconsistencies before they grew into larger obstacles and fixed them.
He’s also super responsible. Deadlines were never missed, dependencies were always tracked, and deliverables arrived on time, fully documented, and ready for immediate use.
Beyond technical skill and reliability, Shiva brings genuine curiosity and problem solving drive to every issue we face. He doesn’t just apply known solutions, he asks “Why?” and “What if…?”, which led us to innovative tweaks that improved our model’s accuracy by over 15%.
In short, Shiva is the LLM expert you want on your team: knowledgeable, dependable, detail-oriented, and passionately committed to solving tough problems. I couldn’t recommend him more highly.
Shiva’s depth of knowledge in large language models is very impressive. From day one, he demonstrated a clear grasp of cutting-edge architectures, prompt engineering best practices, and fine-tuning strategies that perfectly aligned with our goals.
What sets Shiva apart is his razor-sharp attention to detail. Whether it was debugging unexpected tokenization issues or calibrating our evaluation metrics, he spotted subtle inconsistencies before they grew into larger obstacles and fixed them.
He’s also super responsible. Deadlines were never missed, dependencies were always tracked, and deliverables arrived on time, fully documented, and ready for immediate use.
Beyond technical skill and reliability, Shiva brings genuine curiosity and problem solving drive to every issue we face. He doesn’t just apply known solutions, he asks “Why?” and “What if…?”, which led us to innovative tweaks that improved our model’s accuracy by over 15%.
In short, Shiva is the LLM expert you want on your team: knowledgeable, dependable, detail-oriented, and passionately committed to solving tough problems. I couldn’t recommend him more highly.
HL
Hui Sze L.
Jun 19, 2025
Pytorch Tutor
AP
Arun P.
Apr 29, 2025
30 minute consultation
AV
Ana V.
Apr 29, 2025
30 minute consultation
Very knowledgable
FS
Farzad S.
Feb 27, 2025
3h LLM Architecture Consultation Work
Shivanand did an outstanding job helping me conceptualize a software architecture for an agentic AI system. His deep knowledge of LLMs, NLP, and AI frameworks was truly impressive. He not only provided valuable insights but also communicated complex ideas in a clear and structured manner. His expertise and professionalism made the collaboration seamless and highly productive. I highly recommend Shivanand to anyone looking for a top-tier AI expert!
About SHIVANAND
Machine Learning Engineer | LLM | Hugging Face | LangChain
100%
Job Success
Bengaluru, India - 11:44 am local time
🚀 Generative AI Product Developer | AI/ML Specialist | Gold Medalist 🎓
With 4+ years of experience in AI/ML, Recommender Systems, and Generative AI product development, I specialize in crafting innovative, research-driven solutions for large organizations and research labs. Passionate about advancing AI technologies, I thrive on creating impactful, scalable systems.
🎓 Education
🥇 Gold Medalist | Central University of Karnataka, India
Master’s Degree in Electrical Engineering
💡 Core Expertise
Generative AI & Multi-Agent Systems: Designed and deployed cutting-edge multi-agent products and fine-tuned reasoning models to improve performance in benchmarks like OpenLeaderboard.
End-to-End System Deployment: Skilled in deploying backend architectures on GCP Run-Cloud using GitHub workflow actions for CI/CD pipelines.
Application Development: Proficient in designing, testing, and deploying applications on AWS, Heroku, and GCP with Flask and Gunicorn.
🛠️ Technical Toolkit
Frameworks: PyTorch, scikit-learn
Language Models: Huggingface Transformers, LangChain
Cloud & MLOps: AWS (EC2, S3, Elasticsearch, Sagemaker), GCP Run-Cloud
Tools & Version Control: GitHub, wandb
Databases: Pinecone, Chroma (Vector Databases)
UI Frameworks: Gradio, Streamlit
🔍 NLP Expertise
Expertise in chatbots, data extraction, text classification, and sequence labeling.
Fine-tuned large language models, including phi-4 reasoning models, to enhance performance for targeted use cases.
🏆 Notable Achievements
Improved large language model benchmarks, contributing to better reasoning performance in industry-recognized evaluations like OpenLeaderboard.
Successfully created and deployed multi-agent products with innovative AI-driven solutions.
🌟 Why Collaborate With Me?
As a dedicated problem solver and strategic thinker, I bring deep expertise in AI/ML, MLOps, and NLP to help organizations unlock the full potential of their data. From ideation to deployment, I am ready to bring your AI vision to life while staying at the forefront of Generative AI advancements.
Steps for completing your project
After purchasing the project, send requirements so SHIVANAND can start the project.
Delivery time starts when SHIVANAND receives requirements from you.
SHIVANAND works on your project following the steps below.
Revisions may occur after the delivery date.
Get clear Understanding of project for its possibilities
Understanding the requirement if further discussion is needed on the model, what kind of performance and application LLM is built for. Estimating the timeline based on the project's complexity.
create synthetic dataset or search existing dataset.
Data is most important for the intelligence of transformer models, to create a synthetic dataset or check the suitable dataset that can be used for fine-tuning.