Shubhreeka Saxena

Lead ML Engineer

Delhi, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Built a full-stack AI project for DMRC.
Interned at leading tech companies in diverse roles.
Finalist in multiple hackathons showcasing innovation.

Stackforce AI infers this person is a versatile AI and Quantum technology enthusiast with strong web development skills.

Contact

Skills

Core Skills

Generative AiFull-stack Web Development

Other Skills

Stable DiffusionPython (Programming Language)FlaskCollaborative Problem SolvingTeam ManagementBack-end System Architecture (Flask/REST API)Computer Vision (OpenCV & BLIP)Latent Diffusion Models (LDMs)Adversarial Diffusion Distillation (ADD)Low-Rank Adaptation (LoRA)Academic PublishingPaper PresentationJinja2 TemplatingHugging Face ProductsModel Optimization

About

Third year student pursuing B.Tech in AI & ML at VIPS-TC, GGSIPU, have previously interned at Delhi Metro Rail Corporation in the domain of Information Technology and Kreate Technologies in the domain of Web Application Development and AIML. Have had a keen interest in Quantum. Also worked on Quantum Radars and QDots at Quantum Research and Centre of Excellence. Always eager for new opportunities where I can grow, contribute, and maybe add a touch of my personality to the world of tech. Let's connect if you like thoughtful conversations, clever code or memes during meetings.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Delhi metro rail corporation (dmrc)

Winter Intern

Jan 2026 – Feb 2026 · 1 mo · Mayur Vihar, Delhi, India · On-site

I built a full-stack AI project by curating a DMRC dataset and training a custom LoRA model to generate high-quality images. I also deployed this model into a FastAPI web portal powered by SDXL-Turbo, where I implemented 'Smart Prompt' logic to optimize banner generation and overcome local hardware constraints

Generative AIStable Diffusion

Kreate technologies

Application Development Intern

Jun 2025 – Aug 2025 · 2 mos · Delhi NCR · On-site

Worked On Web Application Development Projects Using Python along with its Various Frameworks With Databases Like PostGreSQL as well as Integration with Artificial Intelligence and Machine Learning Models.

Python (Programming Language)FlaskFull-Stack Web Development