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Khushbu Sinha
@khushbu_croft
AI Engineer, AI Chatbot, Machine learning, AI Agent Development, GenAI, GPT API
Inde
Anglais
À propos de moi
I’m an AI Engineer specializing in building intelligent, scalable solutions using Machine Learning, Generative AI, and advanced chatbot systems. I design and develop AI-powered applications—from conversational agents to data-driven automation—leveraging modern frameworks
My Core Skills:
AI Engineering & Solution Architecture
Machine Learning
Generative AI and LLM
GPT API Integration & Custom AI Workflows
AI Chatbot Development
AI Agent Development
API Integration & Webhooks
Cloud Platforms (AWS, GCP, Azure)
CRM & Marketing Automation Integration
End-to-End AI Product Development
Compétences
Khushbu Sinha
hors ligne •
Temps de réponse moyen de 2 heures
Voir mes services
Intégrations IA
I will secure sensitive financial data preserving ml for predictive analytics
Conseil en ingénierie des données
I will make google cloud document ai ml to extract data from different customer PDF
Portfolio
Expérience professionnelle
AI Full Stack Developer
Black Coffee • Temps plein
Jan 2026 - Present • 4 mos
I have build end-to-end applications, integrating Artificial Intelligence (LLMs, NLP) with traditional front-end (React/Vite) and back-end (Python/Node.js) technologies. They create intelligent, user-friendly applications by automating workflows, managing database persistence, and optimizing AI-driven user experiences.
Data Scientist
Tata Consultancy Services • Temps plein
Sep 2018 - Jan 2026 • 7 yrs 4 mos
I have designed, build, and maintained scalable data pipelines, architectures, and systems to convert raw data into usable information for analysis. I have ensured high-quality data ingestion, storage, and processing, working closely with data scientists to support AI/ML models and business intelligence. Key skills include SQL, Python/Java, and cloud platforms like AWS or GCP.
Data Analyst
Deloitte • Temps plein
Jan 2017 - Sep 2018 • 1 yr 8 mos
-Gathering data from various sources (SQL databases, APIs, Excel) and cleaning it (removing errors, handling missing values) to ensure accuracy. -Analyzing data sets to identify trends, patterns, and anomalies to answer specific business questions. -Creating dashboards and reports using tools like Tableau, Power BI, or Excel to translate technical findings into actionable insights for stakeholders. -Developing and maintaining data systems to improve efficiency and data quality. -Working with departments like Marketing, Finance, and Operations to understand data needs and provide, data-backed solutions.
