> Hi, my name is
BS AI student building applied machine learning systems. Interned as an AI/ML Engineer, building and deploying LLM powered applications — chatbots, RAG pipelines, and AI content tools. Work spans model training, computer vision, and backend deployment.
// ABOUT
BS Artificial Intelligence · 2024 – Present
Currently in my 6th semester with a CGPA of 3.57, developing a strong foundation in Artificial Intelligence through academic learning and hands-on projects. My work focuses on applying AI concepts to practical problems, working with real-world data, and building solutions that are clear, useful, and technically sound. Alongside my degree, I continue to develop projects that strengthen my understanding of machine learning and real-world AI development.
Currently seeking AI/ML Engineering internships in Remote, On-site, or Hybrid roles. I am looking for opportunities to work on practical AI systems, contribute to real-world projects, and strengthen my experience across the machine learning development lifecycle — from data preparation and model development to evaluation and application building.
// TOOLKIT
// Portfolio
Built a real-time touchless system to control PC volume, brightness, play/pause, and navigation using hand gestures via webcam. Implemented stable gesture detection using MediaPipe hand landmarks with a custom tracking-lock system for low-latency performance.
Built an AI-powered FAQ chatbot for SafeX Solutions using Python, Flask, and Sentence Transformers. Retrieves and answers user queries from the company's FAQ dataset; deployed and live.
Built a Retrieval-Augmented Generation assistant that answers company FAQ and policy questions strictly from a curated document set, using local embeddings, FAISS vector search, and an LLM for grounded, hallucination-resistant responses.
Built a business report generator that converts any uploaded file into a structured report with KPIs, charts, and AI-generated insights, using Python, Flask, and the Gemini API.
// Experience
SAFEX Solutions
Completed an 8-week AI/ML internship focused on applying machine learning concepts to practical projects and real-world datasets. Worked on data analysis, model development, evaluation, and AI-based solutions while following a structured development workflow.
// Achievements
Hacktoberfest 2025
Contributed to open-source systems on GitHub during Hacktoberfest 2025, earning every badge up through the Plant level. Along the way I sharpened my version control etiquette, pull request workflows, code review habits, and real-world collaboration patterns across distributed teams.
// Contact