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AI Engineer with less than a year in LLMs & 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
GenAI-focused Python developer with experience building AI-powered systems using LLMS, RAG pipelines, and multi-agent frameworks. Skilled in designing scalable backend APIs, semantic search using embeddings, and delivering solutions that improve accuracy and efficiency. Strong problem-solving skills and a quick learner of new AI technologies.
Mother Institute of Technology, Bihta, Patna
B.Tech · Computer Science and Engineering
N/A – June 30, 2023
Mahamda Inter College, Siwan
12th
N/A – May 31, 2019
Scifyx Tech Private Limited
Backend Django Intern
August 1, 2025 – November 1, 2025
India
Besant Technologies
Python Full Stack Developer Intern
January 1, 2025 – July 1, 2025
Bengaluru, Karnataka, India
AI-Powered Customer Support Intelligence Bot
April 1, 2026 – April 1, 2026
• Developed a multi-agent AI system to analyze 1,000+ sales call transcripts and enable Slack-based Q&A. • Built a RAG pipeline with LlamaIndex and embeddings, cutting query response time by 50%. • Enhanced FastAPI endpoints and Redis-backed background processing for efficient real-time query handling. • Designed scalable data ingestion and retrieval workflows to improve system performance and reliability.
View ProjectResume Matcher (RAG-Based ATS Assistant)
March 1, 2026 – March 1, 2026
• Created an AI-based ATS tool to parse 1,000+ resumes and job descriptions. • Produced ATS match scores and reduced screening time by 70% through semantic search. • Built a vector embedding pipeline using ChromaDB and Sentence Transformers for similarity matching. • Leveraged Groq LLM to generate concise skill-gap feedback for faster candidate evaluation.
View ProjectRAG AI Assistant
February 1, 2026 – February 1, 2026
• Built a chatbot to answer questions from PDF documents using retrieval-based generation. • Applied document chunking and embeddings to improve context retrieval, enabling accurate answers for long-form PDFs. • Designed an end-to-end LLM pipeline in LangChain for ingesting documents and handling user queries effectively.
View ProjectPython Full Stack Development
Besant Technologies
June 1, 2026 – Present
Programming Essentials in Python
Cisco Networking Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and practical application in AI, particularly in RAG systems and LLM orchestration, which aligns well with an AI Engineer role. The diversity of projects (chatbot, ATS, customer support bot) shows adaptability and a broad understanding of AI applications. The listed internships, while not directly AI-focused, provide a solid software development foundation. The candidate's self-driven project work indicates initiative and a proactive learning attitude, which are positive indicators for cultural fit in an innovative environment.
Soft Skills & Operational Fit
The candidate lists 'Effective communication, Problem-solving, Time management, Creativity, Teamwork, Collaboration' as soft skills. The project descriptions indicate an ability to work on complex problems and deliver functional solutions, suggesting good problem-solving and execution. However, without direct assessment data, the operational fit regarding teamwork and communication cannot be fully validated.