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Schedule Interview NowMy name is Vaibhav N. and I have over 7 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning, Python, AI Agent Development, Conversational AI, etc.. I hold a degree in Bachelor of Engineering (B.Eng.). Some of the notable projects I've worked on include: Weapon and knives detection using yolo and convnext, LangGraph Multi-Agent Research & Data Analysis., Advanced Salesforce Agent with Extensive Tool Integration, GRPO-Based LLM Alignment for specific Tone and Style Generation. I am based in Surat, India. I've successfully completed 4 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
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Developed a real-time 4K weapon detection system achieving 30 FPS with 98%+ accuracy. Implemented a novel tiled inference pipeline combining YOLO11m detection, ConvNeXT classification, and ByteTrack m
I architected and implemented a sophisticated multi-agent research and analysis system using LangGraph, featuring intelligent routing, parallel execution, and automated data wrangling capabilities. Th
Developed a sophisticated AI agent integrated with Salesforce, leveraging over 20 custom and standard tools to automate complex workflows and enhance operational efficiency. The agent is driven by a d
To fine-tune a small language model (Qwen2.5-0.5B) to generate text summaries specifically in the distinct stylistic voice of Sherlock Holmes, moving beyond simple prompt engineering.
Bachelor of Engineering (B.Eng.) in
2013-01-01-2015-01-01