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Generative AI Engineer with 2+ years in Python, Machine Learning & LLM Applications
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Generative AI Engineer with a strong foundation in Python, Machine Learning, LLM Applications, Prompt Engineering, and Retrieval-Augmented Generation (RAG). Experienced in designing intelligent user experiences and enterprise-scale digital solutions through prior work at Accenture. Skilled in building AI-powered workflows, integrating APIs, developing data pipelines, and translating business requirements into scalable AI solutions. Currently advancing expertise in Generative AI, LangChain, Vector Databases, FastAPI, Docker, and Cloud technologies.
Boston Institute of Analytics
Professional Certification in Data Science (AI & ML) · Data Science (AI & ML)
N/A – Present
Pearl Academy
BA(H) Communication Design · Interaction Design
N/A – June 30, 2020
The TuitionE
Freelance Data & Product Designer
January 1, 2025 – Present
India
Accenture
Business Integration & Architecture UX Analyst
January 1, 2020 – January 1, 2022
India
AI-Powered RAG Assistant
June 24, 2026 – Present
Built a Retrieval-Augmented Generation application using Python and LangChain. Implemented semantic search, document retrieval, vector embeddings, and context-aware question answering.
Customer Segmentation using Unsupervised Learning
June 24, 2026 – Present
Built and optimized a customer segmentation model using K-Means Clustering, PCA, EDA, and model evaluation techniques.
Prompt Engineering & LLM Evaluation Framework
June 24, 2026 – Present
Designed and evaluated prompts for business use cases, reducing hallucinations and improving response quality.
Cultural Fit Analysis
The candidate's project diversity, including RAG, customer segmentation, and prompt engineering, shows a broad interest within the AI/ML domain. The previous role as a UX Analyst at Accenture and current freelance design work suggests an appreciation for user experience and product development, which can be beneficial in a Generative AI role focused on practical applications. The target role of 'Generative AI Engineer' aligns well with the candidate's stated professional summary and project experience. However, the transition from a design-focused background to a purely engineering role might require additional focus on core software engineering practices.
Soft Skills & Operational Fit
The candidate's experience at Accenture involved collaboration with engineering teams and analyzing user interaction data, suggesting an ability to work in cross-functional environments and a data-driven approach. The freelance role indicates initiative and product design thinking. However, specific soft skills like problem-solving under pressure or leadership are not explicitly detailed in the provided data.