Professional Overview
I'm an AI-focused software developer with hands-on experience designing intelligent systems and NLP solutions. At MyHouseIntel, I developed a context-aware smart assistant implementing advanced NLP algorithms for intent recognition. During my internship at Mobicule Technologies, I optimized object recognition models to 97% accuracy and fine-tuned CNN models for face recognition. With expertise in Langchain, Rasa, and LLMs, combined with my AI degree from NMIMS, I bring both practical experience and theoretical knowledge to prompt engineering. My project work in diffusion models and image steganography demonstrates my ability to implement complex AI architectures, while my critical thinking skills enable me to effectively bridge user needs with AI capabilities.
Areas of Expertise
computer vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
