Sonia Singh — Product Engineer

I am a B.Tech Information Technology student with hands-on experience in software development, machine learning, generative AI, and data-driven product engineering. My work revolves around building scalable solutions that merge technical depth with practical usability, whether for real products, hackathons, or academic research. My internship experience spans ML, Generative AI, and software engineering, where I have: Developed internal web tools that streamlined CAD/CAE workflows for automotive and EV product-design teams Built large-scale multimodal & NLP pipelines for food-image→ingredient recognition using GenAI Designed ML systems for video-game ESRB prediction and IPL match outcome forecasting, with 80–86% model accuracy Created interactive travel-itinerary AI assistants leveraging LLMs and multi-angle visualization I enjoy solving problems at the intersection of: 🔹 Python | Data & ML workflows | Backend logic | Practical product engineering with a strong focus on accuracy, efficiency, and user experience. 💻 Technical strengths Python, C/C++, HTML, CSS, JavaScript, SQL • ML/Deep Learning • NLP • Prompt Engineering • Data Processing • Pandas, NumPy, Scikit-learn • Matplotlib, Seaborn • HuggingFace • LangChain • Firebase • Git 🏆 Highlights • Offer secured • 10 CGPA in 6th semester • Finalist / Winner at multiple national hackathons • Multiple deployed projects with real-world user metrics and performance improvements 🌱 I am continuously exploring how AI, data, and software systems can be used to automate workflows, improve efficiency, and create intuitive tech experiences. 📌 Open to collaborating on ML/AI projects, research, and impactful developer work. Feel free to reach out if you want to discuss AI/ML ideas, research, internships, or hackathon collaborations. I believe growth comes from building things that matter. What drives me is a mix of technology, creativity, and impact – whether it’s simplifying processes with code, designing AI-powered experiences, or contributing to communities that matter. Always curious, always creating, always learning. ✨

Stackforce AI infers this person is a Machine Learning and AI enthusiast with a focus on practical applications in Food Tech and Sports Analytics.

Location: Delhi, India

Experience: 0 mo