My Journey

Currently pursuing advanced studies in AI, focusing on cutting-edge research and applications in machine learning and neural networks.

• Developed complex Dialogflow CX conversational flows for enterprise chatbot solutions
• Created custom testing and evaluation framework to ensure system reliability and performance
• Scaled application infrastructure to support 50,000+ concurrent users
• Contributed to ERPNext implementation using Frappe framework for business process automation

Produced 5 videos on core ML, attracting 350+ subscribers and 5000+ views. Making complex mathematical concepts accessible through visual explanations.

Created comprehensive technical blog series explaining diffusion model mathematics, forward/reverse processes, and loss functions with step-by-step code examples.

• Developed and maintained AI infrastructure using Langchain with monitoring via Langsmith
• Responsible for developing multiple RAG-based pipelines with a retrieval efficiency of 97 percent
• Improved accuracy using prompt engineering and token reduction, decreasing costs by up to 10 times
• Fine-tuning models using LoRA and PEFT techniques
• Deploying LLMs for efficient inference using vLLM and TensorRT

Implemented foundation ML papers from scratch, including attention mechanisms, transformers, and diffusion models.

Electronics and Instrumentation Engineering with CGPA: 8.13

Relevant Coursework: Data Structures and Algorithm, Linear Algebra, Statistics and Probability, Introduction to Machine Learning

• Selected for the Code4GovTech program to contribute to the Text2SQL project
• Worked with large language models, setting up tests, and token optimization
• Improved accuracy of LLMs from 0.516 to 0.743

"Hate Speech and Offensive Content Detection in Indo-Aryan Languages: A Battle of LSTM and Transformers"

Goyal, P., Narayan, N., Biswal, M., & Panigrahi, A.

Central Board of Secondary Education (C.B.S.E) with 95.4% marks. Foundation in mathematics and sciences that sparked my interest in technology.