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AI Engineer with less than a year in LangChain & RAG pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer with hands-on experience in LangChain, RAG pipelines, and Agentic AI systems. Proficient in full-stack development using Python, React, and Node.js, with practical exposure to REST APIs and database integrations gained during a software engineering internship at Simplotel. Demonstrated ability to independently design and deploy AI-powered applications, including a multi-PDF Q&A assistant and a natural language database interface. Developed automation workflows using Playwright to migrate legacy booking engines to a new platform, reducing manual effort by 80%. Seeking to contribute to production AI systems in a fast-paced engineering environment.
REVA University
Master of Computer Applications
August 1, 2024 – June 30, 2026
Hemchandracharya North Gujarat University
Bachelor of Computer Applications
August 1, 2021 – June 30, 2024
Simplotel
Software Engineer Intern
February 1, 2026 – Present
Bengaluru, Karnataka, India
Intelligent PDF Query Assistant
June 1, 2025 – June 1, 2026
Built an AI-powered PDF Q&A system using LangChain and vector embeddings to enable natural language querying over unstructured documents. Implemented Retrieval-Augmented Generation (RAG) to improve answer accuracy and contextual relevance. Designed a scalable document ingestion and retrieval workflow in Python using Chroma vector stores.
Chat with MySQL Database
June 1, 2025 – June 1, 2026
Built a natural language interface over a MySQL database using LangChain's SQL agent, enabling users to query relational data without writing SQL. Implemented LLM-powered SQL query generation that auto-detects database schema and translates plain English questions into accurate, executable queries.
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying AI technologies, which aligns well with an innovative and growth-oriented culture. The diversity of projects (PDF Q&A, database interaction) shows a breadth of interest within AI applications. The internship experience in a software engineering role, even if not directly AI-focused, indicates an understanding of professional development workflows. The pursuit of a Master's degree while also engaging in projects and an internship suggests a strong drive for continuous learning and development.
Soft Skills & Operational Fit
The candidate's profile highlights collaboration, participation in code reviews, debugging, and agile sprint cycles during their internship, indicating a good operational fit for team environments. The ability to independently design and deploy AI applications suggests initiative and problem-solving skills. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is limited.