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AI Engineer with less than a year in LLM & JavaScript Development
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AI/Full-Stack Engineer with hands-on experience building LLM-powered agentic systems, multi-database orchestration pipelines, and semantic search solutions using OpenSearch and vector embeddings. Proficient in LangChain, LangGraph, Node.js, and full-stack JavaScript development. Currently exploring agent harness architectures, cross-database AI query systems, and scalable cloud-native deployments with Docker and Kubernetes.
Netaji Subhas University of Technology
Bachelor of Technology · Electronics and Communication Engineering
November 1, 2022 – Present
Dailoqa
AI Engineer Intern
January 1, 2026 – June 1, 2026
India
Multi-Database Agentic Query Engine
January 1, 2026 – Present
Extended the internship agentic DB system to support heterogeneous database environments, enabling a single LLM-powered agent to query and correlate data across SQL and NoSQL databases simultaneously (SQL-SQL, NOSQL-NOSQL, and SQL-NoSQL combinations). Designed a unified schema extraction layer that normalizes relational and document-based data models, allowing the LLM to generate cross-database query plans from a single natural language input.
View ProjectAPI Client
November 1, 2025 – November 1, 2025
Engineered a mobile API testing client in React Native replicating core Postman functionality with a custom request builder, dynamic headers/body support, and real-time JSON parsing - demonstrating strong understanding of REST architecture and mobile networking. Deployed on Expo Go for cross-platform accessibility, showcasing hands-on experience in packaging and distributing React Native apps.
View ProjectMyGit Git Implementation in Node.js
October 1, 2025 – October 1, 2025
Implemented a fully functional Git clone supporting init, add, commit, branch, checkout, log, and status; built core Git internals including SHA-1 hashing, zlib compression, tree/commit/branch object models, and content-addressable storage - achieving >95% parity with Git's data structures. Engineered a performant CLI and repository engine with a custom index, recursive tree reconstruction, commit graph traversal, and branch switching in O(1) time; deepened expertise in version control internals, cryptography, and distributed data design.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong initiative and passion for building complex systems, including a Git implementation and a multi-database agentic query engine. This self-driven learning and project diversity suggest a good cultural fit for innovative and challenging environments. The internship experience at Dailoqa aligns well with the target role of an AI Engineer, showcasing practical application of AI/ML concepts in a business context. The breadth of technologies used across projects (Langchain, Langgraph, DynamoDB, Docker, Node.js, React Native, OpenSearch) indicates adaptability and a willingness to explore different tools and paradigms.
Soft Skills & Operational Fit
The candidate's resume highlights 'Leadership, Agile Methodology, Public Speaking, Event Management' as soft skills. The project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good problem-solving and project management potential. The detailed descriptions of technical challenges and solutions imply a structured approach to engineering. However, without direct assessment data on these soft skills, it's difficult to provide a definitive operational fit beyond what's inferred from project complexity and role descriptions.