Satvik Sharma

Satvik Sharma

Student at Thapar Institute of Engineering & Technology

Chandīgarh, IndiaArtificial Intelligence and Software Development
2roles
32skills
3education

About

Computer Engineering student focused on machine learning, generative AI, full-stack development, NLP, and MLOps.

Experience

Machine Learning Intern

Future Interns

March 2026 – Apr 2026 · Remote

Built ML pipelines with data preprocessing, model training, and evaluation; solved real-world tasks and improved models using iterative feedback.

Full Stack Developer Intern

Warewe Consultancy

June 2025 – July 2025 · Gurugram, India

Contributed to end-to-end development of scalable web applications by implementing RESTful APIs, optimizing database queries, and enhancing UI/UX components while collaborating in an agile environment to deliver production-ready solutions.

Education

Thapar Institute of Engineering & Technology

Bachelor of Technology - BTech, Computer Science

Jul 2023 - May 2027

Thapar Institute of Engineering and Technology

Bachelor of Technology, Computer Engineering

Expected May 2027

Cumulative GPA: 8

Indian Institute of Technology (IIT) Patna

Minor, Generative AI & Machine Learning

Expected June 2026

Skills

EngineeringPythonJavaScriptC++SQLscikit-learnTensorFlowPyTorchNLPCNNsTransformersRAGLLMsLangChainHugging FaceEmbeddingsSemantic SearchFastAPIFlaskREST APIsJWTMongoDBPostgreSQLVector DBsFAISSpgvectorGitDockerMLflowDVCVercelRender

Projects

HackTrack – AI-Powered Hackathon Platform

Built an AI system for hackathon discovery and team matching using embeddings; implemented semantic search with Sentence-BERT, a recommendation engine, a team formation algorithm, and multi-source data API integration. Tech stack: React, Node.js, Express, MongoDB, JWT, Hugging Face, Sentence-BERT, Vector Embeddings, Vercel, Render.

DocuQuery – AI-Powered Team Document Intelligence Platform

Built a multi-tenant RAG system with FastAPI, pgvector, and embeddings; implemented document parsing and semantic retrieval with sub-100ms search; designed secure architecture with JWT authentication and role-based access. Tech stack: Next.js 14, FastAPI, PostgreSQL (Supabase), Cohere AI, TypeScript, Python, pgvector, Vercel, Render.

KidneyScan AI – Medical Imaging Classification with MLOps

Developed a CNN-based model for CT scan classification; applied DVC and MLflow for tracking and reproducibility; deployed a Streamlit app with confidence-based predictions. Tech stack: Python, TensorFlow, CNNs, DVC, MLflow, Streamlit.

AI Resume Analyzer – NLP-Based Resume Intelligence Platform

Built semantic resume-to-job matching using transformer embeddings; implemented ATS scoring and NER-based parsing; designed a dashboard with insights and recommendations. Tech stack: Python, Streamlit, spaCy, NLTK, Sentence Transformers, NLP, Plotly.