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AI Engineer with 1+ years in LLMs, Prompt Engineering & RAG
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Generative AI Developer with 1+ year of experience building AI applications using Python, LLMs, Prompt Engineering, LangChain, RAG, OpenAI API, SQL, and REST APIs for intelligent automation.
Anurag University
B.Tech · Computer Science
August 1, 2021 – June 30, 2025
Vidhiya Solutions Pvt Ltd
Generative AI Developer
April 1, 2025 – Present
India
LLM-powered Retail Assistant
July 1, 2025 – June 1, 2026
Built an AI-powered retail assistant using Python, OpenAI API, LangChain, and RAG, improving product search efficiency by 40%. Implemented embeddings-based semantic search and retrieval pipelines, increasing search relevance by 35% and reducing response time by 20%. Designed and optimized prompt engineering strategies, improving LLM response accuracy by 25% and generating more context-aware responses. Integrated REST APIs to retrieve real-time product, inventory, and customer information, reducing manual lookup effort by 30%. Developed scalable retrieval workflows and automated response generation, reducing manual support requests by 25% while improving overall chatbot reliability.
Programming Foundations with Python
Nxtwave Academy
June 1, 2026 – Present
SQL(Basic and Intermediate)
HackerRank
June 1, 2026 – Present
Generative AI Workshop 1 & 2
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience is highly focused on Generative AI development, which aligns well with an 'AI Engineer' role. The project and work experience demonstrate a practical, application-oriented mindset. The breadth of skills is concentrated within the AI/ML domain, showing a clear career path. However, the limited diversity in project types (both professional and personal projects are AI assistants/applications) might suggest a narrower exposure to different problem domains or system architectures beyond current AI application patterns. The candidate is still pursuing a bachelor's degree, which might indicate a junior-to-mid-level cultural fit rather than a senior one, despite the 'Generative AI Developer' title.
Soft Skills & Operational Fit
The candidate's resume highlights a focus on improving efficiency and reducing manual effort through AI solutions, indicating a results-oriented approach. The descriptions of project and work responsibilities suggest an ability to work on end-to-end AI application development, from design to deployment. However, without specific behavioral or psychometric test results, it's difficult to assess collaboration, stress handling, or work attitude.