AI/ML Engineer focused on Natural Language Processing and Large Language Models — turning complex language problems into practical, real-world solutions.
I'm an AI/ML Engineer based in Jaipur, India, with a deep passion for Natural Language Processing and Large Language Models. I build practical AI systems that go beyond prototypes — focusing on real-world applications that solve tangible problems.
My work spans conversational AI, intelligent assistants, and automated reasoning systems. I believe in writing clean, maintainable code and creating AI solutions that are both powerful and accessible.
Currently, I'm diving deep into RAG pipelines, LLM fine-tuning, and Transformer architectures — always eager to push the boundaries of what's possible with modern NLP.
A selection of projects showcasing my work in NLP, conversational AI, and intelligent automation.
A voice-enabled AI desktop assistant that combines conversational intelligence with system monitoring. Uses Claude API for natural language understanding, with voice input/output through speech recognition and text-to-speech synthesis. Features a clean tkinter GUI and real-time system resource tracking.
An intelligent scheduling system that generates conflict-free timetables using constraint satisfaction and Integer Linear Programming. Features a FastAPI backend with OR-Tools solver and role-based dashboards for administrators and faculty.
An NLP-driven chatbot built with the Rasa framework, designed to handle frequently asked questions and common queries through natural conversation. Demonstrates intent classification, entity extraction, and dialogue management.
An AI-powered mental wellness companion built during the Google Vibe Coding Hackathon to help students manage stress and burnout. Uses Gemini AI to analyze reflection inputs and provide personalized wellness insights. Fully deployed on Vercel.
Technologies and frameworks I work with to build AI-powered solutions.
Certifications, hackathons, and professional experience that have shaped my path in AI.
Designed, coded, and deployed the Student Wellness AI tracker in a fast-paced vibe coding challenge. Achieved professional validation for skills in Prompt Engineering, Software Deployment (Vercel), Problem Solving, and APIs.
Professional certification validating expertise in artificial intelligence, machine learning fundamentals, and advanced IT competencies.
Participated in an intensive 36-hour international hackathon, collaborating under pressure to develop innovative tech solutions.
Hands-on workshop covering data science methodologies, statistical analysis, and practical applications of machine learning.
Contributed to software development projects in a remote environment, gaining hands-on experience with real-world codebases and agile workflows.
Delivered freelance software and data projects to international clients, building client communication and project management skills.
I'm always open to discussing AI/ML projects, internship opportunities, research collaborations, or just talking about the latest in NLP and LLMs. Feel free to reach out!