Maharishi
Mumbai, Maharashtra, India
Experience: 9 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: AWS, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MongoDB, MySQL, NumPy, pandas, PostgreSQL, Postman, Problem Solving, Python3, PyTorch, Selenium, TensorFlow
Previously worked at: India-based Companies, IT Service Companies, Product Companies, Startups
Assessment Score: 77
- Professional Experience: With hands-on experience spanning 2023 to the present, the candidate has worked as an AI Engineer at Bluecrest Software, where they developed and deployed AI solutions using cutting-edge technologies like LLMs, Hugging Face, OpenAI, AWS, and vLLM. They have a proven track record of optimizing AI systems for improved performance and cost efficiency. The candidate also worked as a Machine Learning Intern at Quantinent Analytics and a Deep Learning Intern at Firellama Technology, where they developed predictive models and deep learning solutions to automate manual tasks.
- Technical Expertise: The candidate possesses a strong foundation in AI and machine learning, with expertise in NLP, LLMs, Scikit-learn, TensorFlow, PyTorch, Transformers, and Stable Diffusion. They are proficient in utilizing AWS, vLLM, and Hugging Face for deploying and optimizing AI models and have hands-on experience in building AI agents and chatbots to enhance business processes.
- Education: The candidate holds a Bachelor’s degree in Mechanical Engineering from Mumbai University, which provided a solid analytical and problem-solving foundation, complementing their advanced AI and machine learning skills.
- Key Projects and Achievements: The candidate has successfully developed and deployed various AI models, including NLP applications and deep learning solutions. They have implemented research papers involving Transformer architecture and have contributed significantly to automating business processes, reducing dependency on third-party resources, and optimizing model performance.
- Innovation and Continuous Learning: The candidate is committed to continuous improvement, regularly learning and integrating new AI tools and techniques to enhance application performance, reduce latency, and improve throughput and output quality.
- Career Goals and Aspiration: The candidate aims to continue leveraging AI technologies to solve complex problems and improve business processes, focusing on building scalable and efficient AI-driven solutions that drive innovation across industries.