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Schedule Interview NowMy name is Shaileshkumar J. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Python, Artificial Intelligence, OpenAI API, AI Consulting, AI Development, etc.. I hold a degree in Master of Science in Information Technology (MSc(IT)), Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: Rider Intention Prediction, Open Set Masked Identification System, Object Detection and Counting, Conversational Chatbots for Various Use Cases, Document Analysis GPT, etc.. I am based in Mumbai, India. I've successfully completed 9 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I'm motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
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ultraGenius
Developed a machine learning model for rider intention prediction as part of a competitive challenge, securing 3rd 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
The goal is to implement a RAG model using the OpenAI API and pinecone vectorDB to create a Q&A application for personal documents.
Master of Science in Information Technology (MSc(IT)) in
2007-01-01-2009-01-01
Bachelor of Engineering (BEng) in
2003-01-01-2007-01-01