Aditya Kumar Anupam

Building Intelligent
Systems.

NLP  ·  Agentic AI  ·  Full-Stack

01$ aditya --about
aditya@portfolio: ~zsh
Aditya Kumar Anupam - AI Engineer & Full-Stack Developer
Aditya Kumar AnupamAI Engineer · LPU '27
02// projects
📱college-hub×
projects › college-hub
1# College Hub – Peer-to-Peer Academic Sharing App
2
3 type = "Mobile App"
4 featured = True # ★ pinned
5 stack = ["Flutter", "Supabase", "Material 3"]
6
7"""
8Built a cross-platform mobile app enabling students to share
9study materials and access internship/job opportunities
10seamlessly.
11"""
12
13REPO = (
14 "https://github.com/akanupam/lms"
15)
16
⎇ main11 filesUTF-8view all projects →
03~ skills && technologies
PythonC++JavaJavaScriptTypeScriptDockerCI/CD PipelinesLinux/BashCloud DeploymentGit & Version ControlPythonC++JavaJavaScriptTypeScriptDockerCI/CD PipelinesLinux/BashCloud DeploymentGit & Version Control
PyTorchMachine LearningDeep LearningRAG SystemsAgentic WorkflowsLangChainGenerative AIAgentic ArchitecturesAdvanced LLM WorkflowsModular AI FrameworksEnd-to-end ML SystemsPyTorchMachine LearningDeep LearningRAG SystemsAgentic WorkflowsLangChainGenerative AIAgentic ArchitecturesAdvanced LLM WorkflowsModular AI FrameworksEnd-to-end ML Systems
ReactNext.jsHTML/CSSResponsive DesignUI/UX ImplementationDjangoFastAPINode.jsREST APIsDatabase DesignServer ArchitectureFlutterCross-platform AppsMaterial DesignPostgreSQLMongoDBSQLAlchemySQLModelDatabase OptimizationReactNext.jsHTML/CSSResponsive DesignUI/UX ImplementationDjangoFastAPINode.jsREST APIsDatabase DesignServer ArchitectureFlutterCross-platform AppsMaterial DesignPostgreSQLMongoDBSQLAlchemySQLModelDatabase Optimization
Problem SolvingCritical ThinkingAdaptabilityAttention to DetailConsistencySelf-Directed LearningTechnical CommunicationTeam CollaborationAnalytical MindsetResearch & ExperimentationProblem SolvingCritical ThinkingAdaptabilityAttention to DetailConsistencySelf-Directed LearningTechnical CommunicationTeam CollaborationAnalytical MindsetResearch & Experimentation
04$ academic --profile --achievements

// formal education & professional development

Academic Profile & Growth.

UniversityLovely Professional University
DegreeB.Tech — CS & Engineering
Expected2027

milestones & achievements

2027
education

B.Tech CSE — Expected Graduation

# Lovely Professional University

Expected to complete Bachelor of Technology in Computer Science & Engineering with specialized expertise in AI, full-stack development, and cloud technologies.

2026
project

Secure Social Media REST API — FastAPI (Feb'26)

# Personal Project

Architected a professional RESTful backend using FastAPI and PostgreSQL with modular, scalable design patterns. Handled users, posts, authentication, and voting workflow. Structured data management with SQLAlchemy ORM and Alembic-driven migrations for controlled schema evolution. Secured all endpoints through JWT-based authentication (OAuth2) with CORS support for seamless frontend integration.

2025
project

RAG-Powered Query Resolver with Google Gemini (Oct'25)

# Personal Project

Constructed a document-driven intelligent query engine using Retrieval-Augmented Generation (RAG) architecture to convert static files into a conversational knowledge base. Leveraged Google Gemini API for context-aware responses while reducing irrelevant outputs. Designed a complete retrieval pipeline using ChromaDB for vector storage and HuggingFace embeddings for semantic search.

2025
milestone

Cipher Schools Internship — Flutter Mobile Development (May–Jul'25)

# Cipher Schools (EdTech Company)

Completed structured training in cross-platform mobile application development using Flutter. Built production-ready apps with PostgreSQL and Supabase backend integration, implementing secure JWT-based authentication and real-time database operations. Designed modern Material 3 UI components with clean code architecture.

2025
project

Dia Chat — Fine-Tuned LLM for GenZ (Apr'25)

# Personal Project

Curated and engineered a high-quality NLP dataset featuring personality-driven conversational dialogue. Fine-tuned Gemma-3 1B Instruct using PyTorch and Unsloth with optimization for low-latency inference (~40 tokens/sec). Deployed on-device inference via WebLLM with WebLLM and WebGPU for seamless browser-based usage.

// what's next

Let's build
something real.

Open to the right opportunity — research collaborations, product ideas, or technically interesting problems. Don't be a stranger.