10/21/2026 updated

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AI Developer | Java Backend Developer | Full-Stack Developer

Patna, India
Only remote
B.Tech in Computer Science & Engineering (in progress, 2025-2029)
Patna, India
Only remote
B.Tech in Computer Science & Engineering (in progress, 2025-2029)

Profile attachments

Aditya Gupta Resume.pdf

About me

I’m a Computer Science student and software developer specializing in Java, Spring Boot, React, and AI-powered applications. I build responsive web apps, REST APIs, and automation solutions, helping businesses solve problems through reliable, practical, and cost-effective technology.

Java (Programming Language)Application Programming Interfaces (APIs)Artificial IntelligenceCRM WebClient UIJava Development ToolsLead ManagementMessaging Application Programming InterfaceBackendSpring DataBackend ProgrammingFull Stack Development
AI & Machine Learning Integration
Expertise in building AI-powered learning systems, document intelligence pipelines, and RAG architectures using Spring AI, LLM output processing, vector embeddings, and semantic search with sub-second context-aware responses.

Java Backend Development with Spring Boot
Proficiency in designing and scaling production-grade backend systems using Java, Spring Boot, Spring Data JPA, Hibernate, and RESTful API development, including robust exception handling and automated webhook delivery retries.

Full-Stack Development with React
Hands-on experience building full-stack applications combining Spring Boot backends with responsive React frontends, supporting multi-source data ingestion, user session management, and real-time event streaming.

Database Management
Working knowledge of relational databases including MariaDB, H2, and SQL, with experience designing relational schemas and high-throughput RESTful services for multi-source data workflows.

C++ & Graph Algorithms
Application of advanced graph theory and bit-parallel techniques in C++ to build high-throughput routing engines, reduce pointer traversal overhead, and optimize cache efficiency targeting sub-6-microsecond evaluation benchmarks.

Document Intelligence & Data Extraction
Engineering of automated document intelligence pipelines using Apache PDFBox and RAG pipelines, processing complex legal and corporate documents with over 95% text-extraction fidelity and 90% schema validation success rate.

DevOps & Developer Tools
Familiarity with Git, GitHub, Docker, Postman, Notion, CRM tools, Claude, Gemini, and AI automation tools for development, testing, and deployment workflows.

Python & FastAPI
Programming experience in Python with exposure to FastAPI for backend service development and automation tasks.

Experience

Professional experience0 - 5 years
Freelancer since2025

Languages

EnglishFluentHindiNative speaker

Project history

Developer - Discrete-NetworkRouter Topological Matrix Engine

Independent (Project)
Designed a high-throughput routing engine mapping directed graph relationships into bit-packed adjacency matrices. Applied graph theory and bit-parallel techniques to reduce pointer traversal overhead and optimize cache efficiency. Technologies: C++, Graph Algorithm.

Developer - AI Lead Qualification & CRM Automation System

Independent (Project)
Built an automated workflow receiving multi-source leads, evaluating quality, and routing qualified HOT leads to CRM systems. Generated HOT/WARM/COLD classifications with confidence scores using structured LLM output. Implemented robust retry handling, failure classification, webhook delivery tracking, and React interface integration. Technologies: React, Java, SpringBoot, Spring AI, Spring Security, CRM Tool.

Developer - AI Document Intelligence & Contract Information Extraction System

Independent (Project)
Engineered an automated document intelligence pipeline processing 25+ pages of complex legal and corporate documents per minute. Integrated Apache PDFBox for high-accuracy document parsing achieving over 95% text-extraction fidelity. Extracted key contractual clauses and metadata, mapping unstructured text into structured JSON formats with a 90% schema validation success rate. Technologies: React, SpringBoot, RAG PIPELINE, Spring AI, Docker, MariaDB.

AI Developer

DevPulse
Built an AI-powered learning system processing over 50+ official technical documentation pages per session. Implemented an end-to-end RAG pipeline handling document ingestion, semantic text chunking, vector embeddings, and semantic vector search with sub-second context-aware responses. Developed Spring Boot REST APIs using Spring Data JPA, Hibernate, and MariaDB, paired with a responsive React user interface. Technologies: React, Java, SpringBoot, AI Tool.

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