AI Engineer with over 5 years of experience, specializing in the development of features using Large Language Models (LLMs). Highly skilled in Python. Demonstrated proficiency extends beyond coding to encompass algorithm optimization and data analysis. Proven ability to solve complex problems, ensuring feature reliability and efficiency in healthcare settings. Experienced in collaborative, cross-functional teams.
AI Developer
Freelance
March 2023 - Present
1 yrs 1 Mon
Feedbird.io
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• Applied product-level experience with Large Language Models (LLMs).
• Played a pivotal role as an AI Developer, responsible for developing the Minimum Viable Products (MVPs) and validating the core ideas.
• Integrated LLMs to enhance user interactions and data processing capabilities.
• Contributions involved designing and implementing algorithms leveraging LLMs for natural language understanding and generation, ensuring platforms could interact with users in a more human-like, intuitive manner.
• Responsible for the entire development lifecycle, from conceptualizing the AI strategy to deploying the models in a scalable and efficient manner.
• Applied focus on writing clean, optimized code and ensuring LLM implementations were not only functional but also robust and efficient, capable of handling real-world scenarios effectively.
• Built the entire backend on Django.
• Deployed AWS Lambda.
• PostgreSQL database was used to store data.
The deliverables were sent according to the deadlines set.
Chatwithyoutube
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• Built Flask-based backend and used GPT-4 assistant API to transcribe YouTube videos.
• Applied product-level experience with Large Language Models (LLMs).
• Played a pivotal role as an AI Developer, responsible for developing the Minimum Viable Products (MVPs) and validating the core ideas.
• Integrated LLMs to enhance user interactions and data processing capabilities.
• Responsible for designing and implementing algorithms that leveraged LLMs for natural language understanding and generation, ensuring that the platforms could interact with users in a more human-like, intuitive manner.
The project was successfully deployed. Made updates according to feedback.
Senior Computer Vision Engineer
IDWise
March 2022 - September 2022
6 mon
IDwise
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• Developed seamless Integration: with codeless integration option, across multiple channels using Android, IOS, Web.
• Created Face Match: document to selfie face matching with certified selfie liveness detection
• Used Ultra-Fast Document Capturing: automated recognition and validation of government-issued ID documents.
• Near-Field Communication (NFC): chip reading for ePassports and eIDs
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