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Khushbu Sinha
@khushbu_croft
AI Engineer, AI Chatbot, Machine learning, AI Agent Development, GenAI, GPT API
Indien
Englisch
Über mich
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
Kompetenzen
Khushbu Sinha
offline •
Durchschnittliche Antwortzeit: 2 Stunden
Meine Dienstleistungen
KI-Integrationen
I will secure sensitive financial data preserving ml for predictive analytics
Beratung im Bereich Datentechnik
I will make google cloud document ai ml to extract data from different customer PDF
Portfolio
Arbeitserfahrung
AI Full Stack Developer
Black Coffee • Vollzeit
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 • Vollzeit
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 • Vollzeit
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.
