Key accomplishments

Based on my CV, here are my key accomplishments:

1. Leading Role in AI Innovations: As the Team Lead Data Scientist at Edvak Technologies, I developed numerous medical detection models using Natural Language Processing for diseases, medications, and procedures. I successfully built automatic coding models for ICD and CPT, reducing coding time by over 95%.

2. Pioneering AI Chatbot Development: I spearheaded the creation of an AI chatbot employing intent classification and cutting-edge Large Language Models (LLMs) like Falcon-40B, Llama2, and RWKV, highlighting my proficiency in the latest AI technologies.

3. Architecting ML Pipeline Solutions: I was pivotal in designing and implementing multiple data and machine learning pipeline architectures from the ground up, capable of managing thousands of users with Kubernetes and Docker, demonstrating my expertise in scalable system architecture.

4. Research in Machine Learning/Deep Learning: My tenure as an ML Research Intern at Samsung PRISM was marked by significant research on gender and age prediction using Automatic Speech Recognition (ASR) and the latest machine learning models, aimed at integration into future technologies.

5. Full-stack Data Science Innovation: During my internship at HighRadius, I designed and developed an AI-enabled web application for predicting invoice payment dates and classifying them accordingly, showcasing my ability to apply data science in real-world applications.

6. Contributions to Academia and Research: I have made meaningful contributions to the field through publications on smart healthcare and sentiment analysis related to COVID-19, using advanced machine learning approaches such as deep learning models and BERT for sentiment analysis.

7. Development of Innovative Projects and Tools: My portfolio includes projects like a deep learning-based tool for automating web development, a comparative study on predictive stock market modeling, and the creation of PyScrappy, a tool for web scraping, along with research on DeepFake image recognition.

8. Awards and Recognitions: My work has been acknowledged with a prestigious rank at the Geoffrey Hinton Fellowship hackathon, a Machine Learning with Python Developer Certification from freeCodeCamp.org, and an award for outstanding performance in the Graduate Rotational Internship Programme at The Sparks Foundation.

9. Commitment to Social Responsibility: Beyond my professional and academic achievements, I have volunteered to teach underprivileged students and participated in the KIIT Model United Nations, reflecting my dedication to community service and leadership.


Role 1
Data scientist
Role 2
Machine learning engineer
Unspecified
Any
Senior
United Kingdom
Any
NA
Remote

Education


Experience


Expertise

Machine Learning
92
Deep Learning
90
Natural Language Processing
92
Large Language Models
88
Python
95
Database Management System (MongoDB, SQL)
92

Languages

English,
Hindi