Deepak Sharma — CEO

I am a Product Leader with deep expertise in Agentic AI, Generative AI (LLMs, RAG), and advanced analytics, driving innovation at the intersection of AI and product strategy. My focus lies in building intelligent AI-powered products, orchestrating multi-agent systems, and leveraging LLMOps pipelines to deliver impactful, market-ready solutions. With hands-on experience in LangChain, AutoGen, CrewAI, and vector databases (Pinecone, FAISS, Weaviate), I lead cross-functional teams to develop autonomous AI agents, retrieval-augmented generation (RAG) frameworks, and scalable LLM solutions. My technical foundation spans Python, PyTorch, TensorFlow, and SQL, combined with expertise in cloud AI/ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML) and MLOps tools (MLflow, Weights & Biases, LangSmith). As a product head, I excel at aligning AI capabilities with business objectives, driving data-informed product roadmaps, and ensuring seamless go-to-market execution. I champion predictive analytics, BI tools (Power BI, Tableau), and data storytelling to uncover opportunities and guide strategic decision-making. I am passionate about pioneering next-gen Agentic AI frameworks, workflow automation, and LLM-integrated product ecosystems, transforming ideas into impactful solutions that create a competitive edge. Key Skills: Product Strategy & Roadmap, Agentic AI, Generative AI (LLMs, RAG), AI-Powered Product Design, Data Analytics, Cloud AI/ML (AWS, GCP, Azure), BI Tools (Power BI, Tableau), MLOps, AI Workflow Automation, Cross-functional Leadership.

Stackforce AI infers this person is a SaaS product leader with expertise in AI-driven solutions.

Location: Delhi, India

Experience: 21 yrs 5 mos

Skills

Product Management
Agentic Ai

Career Highlights

Expert in Agentic AI and Generative AI technologies.
Proven track record in leading cross-functional AI product teams.
Strong focus on aligning AI capabilities with business objectives.

Work Experience

RateGain

Product Head - Connectivity (5 mos)

Vice President of Engineering (3 yrs 3 mos)

Indian Institute of Management, Lucknow

Adjunct Faculty - Data Science (6 yrs 11 mos)

Within Cloud

Chief Data Scientist (3 yrs 10 mos)

Think Big Analytics, A Teradata Company

Data Scientist (1 yr 5 mos)

BD

Principal Data Scientist - R&D (1 yr 4 mos)

Kronos

Data Scientist (9 mos)

Capgemini

Senior Consultant (8 mos)

CSC

Project Lead (7 yrs 9 mos)

Software Engineer (1 yr 8 mos)

Network Programs India

MTS (2 yrs 4 mos)

Education

PGP at Indian Institute of Management, Lucknow

International Immersion at ESCP Business School

Certification Program in Business Analytics at Indian School of Business

Schooling at DAV Public School

Deepak Sharma

CEO

Delhi, India21 yrs 5 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Agentic AI and Generative AI technologies.
Proven track record in leading cross-functional AI product teams.
Strong focus on aligning AI capabilities with business objectives.

Stackforce AI infers this person is a SaaS product leader with expertise in AI-driven solutions.

Contact

Skills

Core Skills

Product ManagementAgentic Ai

Other Skills

AnalyticsArtificial Intelligence (AI)Big DataBudgetsBusiness AnalysisBusiness IntelligenceCassandraCloud AI/MLData MiningData VisualizationForecastingGenerative AIHadoopJavaJava Enterprise Edition

About

Experience

Rategain

2 roles

Product Head - Connectivity

Oct 2025 – Present · 5 mos · On-site

Vice President of Engineering

Dec 2022 – Present · 3 yrs 3 mos · On-site

Leading AI-driven product innovation with a focus on Agentic AI, Generative AI (LLMs, RAG), and advanced analytics to transform hospitality solutions.
Driving cross-functional product teams, ensuring roadmap execution, customer adoption, and GTM success.
Implemented multi-agent AI workflows (LangChain, AutoGen, CrewAI) for automation, predictive insights, and content orchestration.
Overseeing cloud AI/ML deployments (AWS SageMaker, GCP Vertex AI, Azure ML) with robust MLOps pipelines (MLflow, W&B, LangSmith).
Collaborating with senior leadership on market positioning, pricing, and competitive differentiation for AI-based products.

Product ManagementAgentic AIRetrieval-Augmented Generation (RAG)Artificial Intelligence (AI)Large Language Models (LLM)

Indian institute of management, lucknow

Adjunct Faculty - Data Science

Apr 2019 – Present · 6 yrs 11 mos · Lucknow, Uttar Pradesh, India

Delivering industry sessions on Machine Learning, Natural Language Processing, Deep Learning, Big Data, Marketing Analytics, Digital Marketing, Cloud Computing, Digital Transformation
Hands-on labs using R, Python, Spark, Tensorflow, Tableau

Within cloud

Chief Data Scientist

Feb 2019 – Dec 2022 · 3 yrs 10 mos · Noida Area, India

Develop AI applications that bring about efficiencies in business processes and operations, which
include building new computer vision, speech-to-text and natural language applications.
Collaborate with business, operations, product, and technology teams to drive the AI
product roadmap and integration of AI modules.
Responsible for developing, productizing, and maintaining the AI applications. Develop
MLOps frameworks or processes for the same.
Instrumental in engaging successfully across multiple projects in a fast-paced environment.

Think big analytics, a teradata company

Data Scientist

Jul 2017 – Dec 2018 · 1 yr 5 mos · Gurgaon, India

Direct Client Consulting Engagement Activities - Helping clients identify how they can drive more business value from data science using Teradata tools and open-source technologies.
New Solution Development - Create Statistical and Deep learning models in multiple technologies using best-in-class data science approaches
Analytics Positioning Responsibilities - Prepare and conduct presentations and client workshops, communicating past experiences in speaking opportunities

Bd

Principal Data Scientist - R&D

Feb 2016 – Jun 2017 · 1 yr 4 mos · Chandigarh, INDIA

Analysis, Design, Development of Complex Data Systems that involve one or more of the following: Predictive Models, Feature Extraction, Data-driven Analysis, Application of Machine Learning Algorithms, Text Mining, Decision Support, Variable Selection and Model Fit.