Open to opportunities

shreyas Mene

@shreyasmene

Message

I build AI-powered full-stack products that turn stakeholder needs into usable systems.

India

Message

What I'm looking for

I'm looking to build AI and full-stack products where I can work closely with stakeholders, translate real requirements into scalable systems, and keep growing through hands-on engineering, machine learning, and product delivery.

I've built AI-powered products with IIT Ropar, SAIL's Bhilai Steel Plant, and Vicharanashala, translating stakeholder requirements into practical software and machine-learning systems.

At IIT Ropar's NPTEL initiative, I fine-tuned Hugging Face Transformer models for automated question generation, reducing hallucinations by approximately 80% for thousands of learners. I also delivered 10+ React components connected to Node.js and Express REST APIs across three agile sprints.

For SAIL, I built a supervised safety-risk ML pipeline and a Streamlit dashboard that made real-time risk scoring accessible to non-technical safety officers. At Vicharanashala, I'm designing REST APIs, MongoDB schemas, authentication, and RBAC for CSFAQ while helping shape ViBe's transparent peer-review workflow.

Outside internships, I maintain pyvm, an open-source Python version manager on PyPI with 70+ stars, 40 forks, and 20+ contributors, and I build projects including VaxTrust and LANStream-Automator.

Experience

Work history, roles, and key accomplishments

Current

MERN Stack & AI/ML Development Intern

Current

Vicharanashala (Lab for Education Design), IIT Ropar

May 2026 - Present (3 months)

Gathered requirements from academic and product stakeholders to scope CSFAQ, an AI-powered crowd-sourced FAQ platform (MERN stack); designed REST APIs, scalable MongoDB schemas, and authentication/RBAC to cut manual moderator workload. Partnered with faculty and product stakeholders to translate business goals into the technical design of ViBe's Peer-Based Review System, identifying and mitigating