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AbhinavSarkarr/README.md

πŸ’« About Me:

I am an AI/ML Engineer proficient in Prompt Engineering, Retrieval-Augmented Generation (RAG), fine-tuning LLMs, and creating custom LLMs. Holding a bachelor's degree in Artificial Intelligence and Machine Learning, I have a strong foundation in machine learning (ML) and deep learning (DL). My expertise extends to data preprocessing, feature engineering, and model deployment. I am skilled in advanced techniques in natural language processing (NLP), computer vision (CV), and reinforcement learning (RL). I work with frameworks such as TensorFlow, Hugging Face Transformers, and have experience in building and deploying end-to-end data pipelines and scalable ML solutions.


🌐 Socials:

LinkedIn Hugging Face Medium
LinkedIn Hugging Face Medium

πŸ’» Tech Stack:

Programming Languages:

Python C++
Python C++

Machine Learning & Deep Learning:

TensorFlow PyTorch Keras
TensorFlow PyTorch Keras

Cloud & DevOps:

DigitalOcean AWS Heroku
DigitalOcean AWS Heroku

πŸ“Š GitHub Stats:

GitHub Stats GitHub Streak
GitHub Stats GitHub Streak

πŸ† GitHub Contributions:

Top Contributor


πŸ’Ό Projects:

Custom LLM Fine-Tuning AI-Driven Chatbot (RAG) Document VQA
Fine-tuned a large language model (Meta-Llama-3-8B) using Gen Z slang data for optimized responses. Developed an intelligent chatbot using Retrieval-Augmented Generation (RAG) for personalized user queries. Worked on a Visual Question Answering (VQA) system for document-based questions using custom-trained models.
Resume Parser SaaS Chatbot Platform
Built a resume parsing application to extract and analyze resume data for recruitment purposes. Created a SaaS platform for users to build custom chatbots using their own data with a RAG pipeline.

🧠 Research & Publications:

  • Comprehensive Survey on Answer Generation Methods Using NLP
    Published in the Natural Language Processing Journal, available on ScienceDirect.

πŸ… Achievements:

  • Created end-to-end AI pipelines and data workflows for production-level deployment.
  • Contributed to AI applications across multiple domains such as NLP, CV, and recommendation systems.
  • Experienced in model optimization, hyperparameter tuning, and scaling ML solutions.

⚑ Fun Facts:

  • I am passionate about VFX and love exploring creative AI applications in the visual effects space.
  • A foodie who finds comfort in Paneer Biryani and chicken dishes, with a deep appreciation for great food.
  • I enjoy helping others learn about AI/ML, so feel free to reach out for discussions or collaboration.

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