Piyush Sharma

+919643161702 sharma1935piyush@gmail.com LinkedIn Portfolio Github

EDUCATION

Netaji Subhas University of Technology

Expected June 2026 Delhi, India
Bachelor of Technology in Computer Science (GPA: 8.03 / 10.00)

TECHNICAL SKILLS

Languages
  • C++
  • C
  • JavaScript
  • Typescript
  • Python
Frameworks/Tools
  • Reactjs
  • Nextjs
  • Svelte
  • TailwindCSS
  • Node.js
  • Express.js
  • GraphQL
  • Svelte Kit
  • Docker
  • Socket.io
  • Git
Databases
  • PostgreSQL
  • MongoDB
Design
  • Canva
  • Figma
ML Frameworks/Libraries
  • NumPy
  • Pandas
  • Matplotlib
  • Scikit-learn
  • TensorFlow

EXPERIENCE

Software Development Intern, Healeasy | Remote
May 2025 – July 2025
  • Built and maintained core features of a mobile app and web dashboard using React Native, Next.js, and PostgreSQL via Supabase.
  • Fine-tuned and integrated a domain-specific AI model into the app to enable custom intelligent behavior.
  • Automated notification and event triggers using webhooks, third-party APIs, and Wati for WhatsApp messaging.
  • Set up CI/CD pipelines with GitHub Actions and Vercel for automated deployment, reducing manual overhead.
  • Configured role-based access control (RBAC) in Supabase to manage secure data access by user roles.
  • Used AI tools for research and code scaffolding while independently developing production-grade features.
  • Integrated multiple REST APIs for dynamic content, user engagement, and external service interaction.

SIDE PROJECTS

Group Project: HyperAttention Drug-Target Interaction Model | ML, 2024
Code
  • Led a team of 4: Oversaw project planning, task delegation, and ensured timely completion of milestones.
  • Collaborative Development: Collaborated with team members to design and develop a deep learning-based Drug-Target Interaction model.
  • Applied Frameworks: PyTorch, TensorFlow, Pandas, NumPy, Matplotlib, Scikit-learn, Keras and utilized techniques such as CNN and Transformers (ProtBERT).
V eriFact — RAG-Enhanced Fact Verification System | RAG, 2025
Link
  • Architected a RAG pipeline using LangChain, ChromaDB, AI models for real-time fact verification (85% accuracy).
  • Implemented semantic search using FAISS and sentence-transformers, optimizing retrieval from 100K+ facts through Vector embeddings resulting in Super-fast RAG with parallel processing, achieving sub-second verification.
  • Created FastAPI backend with Ollama LLM integration for efficient context management and prompt optimization.
dudeSpaces | MERN Stack, 2025
Link
  • Designed and created an audio room platform using MERN (MongoDB, Express, React, Node) and Stream API.
  • Implemented real-time audio streaming and interactive features to enhance user engagement and experience.
  • Developed user authentication and authorization functionalities to ensure secure access to audio rooms.
  • Conducted comprehensive testing and debugging to maintain high performance and reliability of the platform.
Wandrr | MERN Stack, 2025
Code
  • Designed and created a full-featured eCommerce platform using MERN (MongoDB, Express, React, Node).
  • Implemented key features including product listings, shopping cart, checkout process, and order management.
  • Developed user authentication and authorization functionalities for secure transactions and personalized user experience. Integrated payment gateway to facilitate smooth and secure online payments.

ALGORITHMIC COMPETITIONS/ACHIEVEMENTS