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Schedule Interview NowMy name is Lovish M. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Artificial Intelligence, AI Agent Development, Computer Vision, Python, etc.. I hold a degree in Bachelor of Technology (BTech). Some of the notable projects I've worked on include: Real Estate Chatbot, Legal Link Bot, Car Crashes' Severity Prediction- AI Pro, Face Mask Detector, NER and POS Tagging with Cross Validation, etc.. I am based in Ludhiana, India. I've successfully completed 10 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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Seasia Infotech Pvt. Ltd.
Built with LangChain and OpenAI, this chatbot helps users search real estate listings by location, type, and budget, while also providing ROI and rent analysis. Hosted on a container app for scalabili
Using LlamaIndex and LLaMA 3, this bot enables document-specific and global legal question answering with semantic search. It highlights source content and auto-indexes files from nested directories f
Role I was a Kaggle contributor Project goal data about car crash severity. The file contains 16 features, it represents the car crashes in the city of San Francisco between 2016 and 2020. Severity i
Role I Was the Machine Learning Engineer Project goal This is a simple Streamlit frontend for face mask detection in images using a pre-trained Keras CNN model MobileNetV2 and OpenCV then deploy on H
It was a Name Entity Recognition and POS Tagging Project with Cross-Validation Using XLM_RoBerta Transformer and RNN
Bachelor of Technology (BTech) in Computer science
2015-01-01-2019-01-01