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Schedule Interview NowMy name is Dev C. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning, Machine Learning Model, Retrieval Augmented Generation, Computer Vision, etc.. I hold a degree in Bachelor of Technology (BTech), Bachelor's degree, Bachelor's degree. Some of the notable projects I've worked on include: Automating Workflows using Relevance.AI & Make.com, Rider Intention Prediction, Open Set Masked Identification System, Object Detection and Counting, Conversational Chatbots for Various Use Cases. I am based in Mumbai, India. I've successfully completed 5 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims' clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
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Ultragenius Tech
In this project, we leveraged Relevance.AI to: - Automate competitor tracking and content analysis - Extract key SEO insights (keywords, structure, engagement patterns) - Generate high-quality, brand
Developed a machine learning model for rider intention prediction as part of a competitive challenge, securing 2nd place in the competition. Leveraged deep learning techniques and mobility data to pre
Developed a robust open-set masked face identification system to address security challenges in environments where facial coverings are common. Combined multiple public datasets and leveraged transfer
Designed and implemented an advanced object counting system using YOLOv8 and Streamlit. Built a custom dataset from scratch, manually labeled and preprocessed data, and trained the YOLO model for accu
Developed and deployed intelligent conversational chatbots using function calling, retrieval-augmented generation (RAG), and both open- and closed-source models. Integrated models such as LLaMA 2, LLa
Bachelor of Technology (BTech) in
2020-01-01-2024-01-01
Bachelor's degree in
2018-01-01-2020-01-01
Bachelor's degree in