Sudhansh Shaw

CTO

Abu Dhabi, United Arab Emirates6 yrs 4 mos experience

Highly StableAI ML Practitioner

Key Highlights

Expert in Generative AI and Data Science solutions.
Proven track record in driving business transformation.
Strong leadership in AI initiatives across industries.

Stackforce AI infers this person is a Fintech and SaaS specialist with expertise in AI-driven solutions.

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Skills

Core Skills

Artificial Intelligence (ai)Mlops

Other Skills

LangChainLangGraphRetrieval-Augmented Generation (RAG)LLM-Fine TuningGPT-4Microsoft AutogenAzure Document IntelligenceMCPDAG OrchestrationLarge Language Model Operations (LLMOps)Amazon Web Services (AWS)Python (Programming Language)Machine LearningPythonConversational AI

About

I am a Generative AI and Data Science professional with nearly six years of experience designing, building, and deploying AI-powered solutions across industries including banking, fintech, and enterprise automation. My expertise spans LLMs, Retrieval-Augmented Generation (RAG), conversational AI, NLP, classical machine learning, and deep learning, combined with strong skills in MLOps, cloud platforms (AWS, Azure), and end-to-end ML pipelines. Over the years, I have delivered impactful projects such as intelligent document processing, enterprise QnA platforms, demand forecasting systems, and agent-orchestrated workflow platforms—each driving measurable business outcomes, efficiency gains, and cost savings. I am passionate about leveraging cutting-edge AI technologies to solve complex real-world challenges and help organizations scale their digital transformation initiatives.

Experience

Abu dhabi commercial bank

Lead AI Engineer

Oct 2025 – Present · 5 mos · Abu Dhabi Emirate, United Arab Emirates · On-site

Leading scalable enterprise AI initiatives to modernize and transform core banking and digital customer experiences.
Architecting and delivering production-grade AI assistants integrated with banking systems (core banking, cards, KYC, CRM) under strict governance and security controls.
Driving LLM orchestration, RAG pipelines, and agent-based workflows tailored for regulated financial environments.
Designing high-availability, low-latency AI platforms with caching, observability, and fault-tolerant architectures.
Partnering closely with business, risk, compliance, and engineering teams to ensure AI solutions deliver measurable business impact.
Setting AI engineering standards, mentoring team members, and acting as a key technical decision-maker across initiatives.
Owning end-to-end delivery, from solution design and integration through production rollout and optimization.

LangChainLangGraphRetrieval-Augmented Generation (RAG)LLM-Fine TuningGPT-4Microsoft Autogen+9

Innover digital

2 roles

Senior Data Scientist (Gen AI)

Promoted

Jul 2022 – Nov 2025 · 3 yrs 4 mos

Generative AI Solutions: Lead the design, fine-tuning, and deployment of LLM-powered systems including RAG pipelines, conversational AI, and multi-agent workflows to solve enterprise-scale challenges.
Application Development: Architect and deliver GenAI-driven applications across domains such as document intelligence, intelligent assistants, and forecasting, ensuring scalability, security, and cloud readiness (AWS, Azure).
Predictive & Prescriptive Modeling: Apply advanced ML/DL techniques alongside GenAI to build forecasting, classification, and optimization models that drive measurable cost savings and efficiency gains.
MLOps & Deployment: Implement end-to-end ML pipelines with CI/CD, MLflow, Docker, and Kubernetes to ensure reproducibility, monitoring, and production-grade deployment of GenAI models.
Cross-Functional Collaboration: Partner with product, engineering, and domain experts to align GenAI initiatives with business needs, ensuring ethical AI practices, governance, and compliance.
Innovation & Impact: Drive continuous research and adoption of emerging GenAI frameworks (LangChain, LangGraph, Hugging Face, LlamaIndex) to transform business processes and deliver tangible outcomes.

Amazon Web Services (AWS)Artificial Intelligence (AI)MLOpsPython (Programming Language)

Data Scientist

Nov 2019 – Jul 2022 · 2 yrs 8 mos

Advanced Analytics and Machine Learning: Spearheading key analytics and machine learning projects to provide actionable insights and improve decision-making across the organization.
Customer Analytics: Conducting detailed customer segmentation and sentiment analysis to drive marketing strategies and enhance customer engagement.
Automation and Efficiency: Building and deploying automated tools to streamline data processes, ensuring accuracy and efficiency in data handling.
Predictive Modeling: Developing and implementing predictive models to forecast business metrics, such as revenue, demand, and customer behavior, supporting strategic planning.
Financial Reporting: Generating comprehensive financial reports and leveraging data visualization tools to make insights readily accessible to stakeholders.
Optimization Models: Creating and optimizing models to enhance operational performance and resource allocation.
Data Integration and Visualization: Utilizing Microsoft Azure Synapse Studio for data integration and building interactive dashboards with Power BI to visualize key metrics and trends.
Cross-Functional Collaboration: Collaborating with various teams to understand business needs and translate them into technical solutions, ensuring alignment with organizational goals.
Innovation and Continuous Learning: Staying updated with the latest advancements in data science and AI, continuously improving skills and applying new techniques to solve business problems.

Artificial Intelligence (AI)Data AnalyticsPredictive ModelingData Visualization