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Assessing your cultural and operational fit
PROFESSIONAL SUMMARY AI Engineer specializing in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems. Experienced in designing and deploying production-grade AI systems, including semantic search engines, AI agents, forecasting pipelines, and computer vision solutions. Strong expertise in LLM integration, prompt engineering, embeddings, vector databases, and scalable backend architectures using FastAPI and cloud platforms. Proven ability to deliver AI solutions with measurable business impact.
university of hertfordshire U.K
MS · Artificial Intelligence and Robotic Research
May 31, 2018 – October 30, 2026
Smart IT Pros, Inc.
AI Engineer
July 31, 2023 – June 29, 2025
India
Enterprise AI Knowledge Assistant (RAG + AI Agent + SaaS Platform)
May 31, 2026 – Present
Tech: Python, FastAPI, LangChain, FAISS, OpenAI, Anthropic Claude, Docker • Built a production-grade Retrieval-Augmented Generation (RAG) system using embeddings and vector search • Implemented document chunking, embedding generation, and FAISS-based vector retrieval • Integrated Large Language Models (LLMs) for context-aware response generation • Developed AI agent with multi-step reasoning and tool-based execution • Implemented conversation memory for contextual interactions • Designed backend using FastAPI with scalable microservices architecture • Implemented authentication (JWT), API usage tracking, and multi-user architecture • Improved enterprise document retrieval efficiency by 80%+
AWS
Amason
May 31, 2023 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including enterprise AI solutions, forecasting systems, computer vision, and robotics, demonstrates adaptability and a broad interest in AI applications. The experience as an AI mentor suggests a willingness to share knowledge. The target role of 'ML Research Engineer London' aligns well with the candidate's AI specialization and academic background. The remote 'IT Specialist' role and 'Python Developer / AI Mentor' roles indicate flexibility and a focus on AI development and education. Overall, the candidate appears to be a good cultural fit for a research-oriented AI role.
Soft Skills & Operational Fit
The candidate's resume indicates experience in mentoring and leading system architecture decisions, suggesting good communication and leadership potential. The project descriptions highlight problem-solving and impact-driven approaches. However, without specific assessment data on soft skills or operational fit, a comprehensive evaluation is not possible.