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AI Engineer with 2+ years in Generative AI & LLM applications
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Assessing your cultural and operational fit
Generative AI Engineer with 2+ years of experience building production-grade LLM applications for enterprise automation, document intelligence, and semantic search. Specialized in designing scalable Retrieval-Augmented Generation (RAG) systems, multi-agent AI workflows, and backend services using Python, LangChain, Azure OpenAI, FastAPI, and vector databases. Proven ability to deliver privacy-preserving, on-premises AI solutions and fine-tuned language models for enterprise deployment.
Pimpri Chinchwad College of Engineering
B.Tech. · Computer Science Engineering
August 1, 2021 – June 30, 2024
Capgemini India Pvt Ltd
Generative AI Engineer
September 1, 2024 – Present
Pune, Maharashtra, India
Thrifty AI
AI Engineer Intern
February 1, 2024 – September 1, 2024
India
Python for Data Science, AI and Development
IBM
June 1, 2026 – Present
Generative AI for Large Language Models
AWS x DeepLearning.AI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Capgemini India Pvt Ltd and Thrifty AI, coupled with a B.Tech. in Computer Science Engineering, suggests a background in structured technical environments. The projects undertaken, such as developing enterprise knowledge assistants and automating business report generation, indicate an ability to work on diverse, impactful projects. The focus on privacy-preserving and on-premises solutions shows an awareness of enterprise constraints and potentially a pragmatic approach to technology adoption. The breadth of skills (Python, Java, SQL, various AI frameworks, cloud tools) indicates adaptability and a willingness to learn new technologies, which are positive indicators for cultural fit in a dynamic AI team.
Soft Skills & Operational Fit
The candidate's resume indicates a strong focus on practical application and problem-solving in AI engineering. The descriptions of projects suggest an ability to work on complex, multi-faceted tasks, which aligns with the demands of a senior AI Engineer role. The experience in automating business report generation and developing knowledge assistants points to an understanding of operational needs and delivering tangible business value. However, without specific psychometric or communication test results, it's difficult to assess soft skills like teamwork, stress handling, or communication clarity beyond what's inferred from the resume's structure and content.