Siddarth
Chandigarh, Chandigarh, India
Experience: 1 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: Dart, Dart/Flutter, Django, GCP, Jupyter Notebooks, LLMs/ChatGPT, NumPy, pandas, Python3, PyTorch, scikit-learn, TensorFlow
Previously worked at: IT Service Companies, Startups
Assessment Score: 75
- Educational Background
The candidate holds a Bachelor of Technology (B.Tech) degree in Computer Science and Engineering from SRM Institute of Science and Technology (2018-2022), with a CGPA of 8.8/10.0. Their coursework focused on Machine Learning, Artificial Intelligence, Mobile App Development, and Data Structures. - Professional Experience
With 1.6 years of experience, the candidate has worked as a Machine Learning Engineer at Wits Innovation Lab, where they led the development of advanced language models and contributed to chatbot projects with Google. Previously, they worked as a freelance Machine Learning Engineer and Mobile Developer, providing custom solutions for clients and creating mobile apps using Flutter. - Key Projects and Contributions
The candidate has led the development of the XPLOR Large Language Model Layer using LLAMA and created a translation layer for Beckn-powered applications. They also developed a TensorFlow Lite model for product recognition, achieving 92% accuracy, and participated in the ONDC chatbot project with Google, improving response accuracy by 25%. - Technical Expertise
Proficient in Python, Dart, and Rust, the candidate has extensive experience with machine learning frameworks such as TensorFlow, Keras, PyTorch, and scikit-learn. They are skilled in natural language processing with tools like LLAMA, BERT, GPT, spaCy, and NLTK. Additionally, they have expertise in mobile development using Flutter, and cloud technologies including Google Cloud Platform and Firebase. - Certifications and Professional Development
The candidate has completed the Machine Learning Specialization by Stanford on Coursera (December 2022) and actively contributes to open-source projects, including the Beckn Protocol and TensorFlow/PyTorch community projects. - Interests and Additional Information
The candidate is passionate about AI ethics, open-source contributions, mobile app innovation, and continuous learning in the ML/AI domain. They are fluent in English and Hindi and actively participate in hackathons, contributing to their growth in AI and machine learning technologies.