Anand Sinha

Business Development Executive

Bengaluru, Karnataka, India2 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

7x Google Cloud Certified professional.
Managed a $14M customer portfolio.
Expert in AI/ML and data streaming solutions.

Stackforce AI infers this person is a SaaS and Fintech expert with strong AI/ML capabilities.

Contact

Skills

Core Skills

Customer Success EngineeringSolution ArchitectureArtificial Intelligence (ai)MlopsData PipelinesData Science

Other Skills

Product Adoption and StrategyTechnical EnablementEnterprise Risk ManagementQuantitative ResearchData StreamingApache KafkaApache FlinkksqlDBTableflowGenerative AI ToolsRetrieval-Augmented Generation (RAG)Regression ModelsLarge Language Model Operations (LLMOps)PyTorchData Lakes

About

I am a Customer Solutions Consultant at Confluent, where I partner with enterprise organizations to bridge the gap between complex data streaming technology and long-term business value. Currently managing a $14M consumption portfolio, I act as a strategic technical advisor focused on platform health, consumption optimization, and architectural maturity. With a background as a 7x Google Certified Machine Learning Engineer and Solutions Architect, I bring over 4 years of experience in designing scalable AI/ML and Cloud systems for sectors ranging from banking to infrastructure. My approach is rooted in deep analytical problem-solving—a skill honed by achieving a World Rank of 92 in the International Olympiad of Mathematics. Previously, I led AI/ML initiatives at Cloud Ace and Econz IT Services, where I specialized in Computer Vision, MLOps, and Generative AI solutions. I am passionate about turning the 'impossible' into 'implemented' through a mix of high-level architecture and data-driven consulting.

Experience

2 yrs 11 mos

Total Experience

1 yr

Average Tenure

11 mos

Current Experience

Confluent

2 roles

Customer Solutions Consultant | Solutions Architect

Promoted

Sep 2025 – Present · 8 mos · Remote

Portfolio Management: Strategically manage a customer portfolio with a total annual consumption of $14M, ensuring technical health and identifying expansion opportunities.
Value Realization: Drive retention and growth across a $14M account base by proactively optimizing configurations and reducing technical blockers to ensure maximum ROI.
Technical Health Leadership: Manage the technical lifecycle of enterprise customers by conducting Technical Health Score (THS) assessments to identify and mitigate technical debt and deployment risks.
Consumption Optimization: Monitor and analyze usage patterns to provide data-driven recommendations for cost optimization and architecture scaling, ensuring customers realize full platform value.
Strategic Enablement: Lead technical workshops and "Tech Talks" on data streaming maturity, roadmap updates, and new product capabilities to drive platform-wide adoption.
Cross-Functional Alignment: Partner with AEs, SEs, and CSMs to align technical strategy with business objectives, serving as the technical lead during Quarterly Business Reviews (QBRs).
Technical Escalation & Feedback: Act as the primary technical point of contact for complex hurdles and bridge the gap between field feedback and Product Engineering teams.

Customer Success EngineeringProduct Adoption and StrategyTechnical EnablementEnterprise Risk ManagementSolution ArchitectureQuantitative Research+5

Solutions Engineer

Jun 2025 – Sep 2025 · 3 mos · Remote

Served as a key technical advisor throughout the pre-sales cycle, effectively communicating the value of
data streaming to both technical and executive audiences.
Collaborated closely with the sales team to drive revenue growth by developing and delivering compelling
product demonstrations, technical workshops, and proof-of-concepts.
Built trusted relationships with customers, guiding them from initial evaluation to successful
implementation and adoption.
Translated complex technical capabilities into tangible business outcomes, such as enhanced customer
experiences, real-time fraud detection, and improved operational intelligence.
Led technical discovery sessions to understand complex business requirements and design scalable,

Econz it services

Data Scientist - Team Lead

Jun 2024 – Jun 2025 · 1 yr · Bengaluru, Karnataka, India · Remote

AI/ML Leadership: Spearheading the AI/ML wing for a diverse range of clients, including major banking institutions, infrastructure giants, financial powerhouses, and retail companies.
Complex Problem Solving: Successfully tackling intricate challenges and architecting innovative solutions across various domains, from finance to manufacturing.
Google Cloud Expertise: Leveraging Google Cloud Platform to build and deploy scalable, robust AI/ML systems.
Advanced Model Development: Developing state-of-the-art models for loan risk analysis, fraud detection, money laundering prevention, natural language processing, and time series forecasting.
IoT Integration into Deep Learning: Implementing IoT solutions to automate manufacturing processes using Deep Learning and optimize resource utilisation.
Personalised GenAI Chatbots: Creating hyper-personalized customer experiences through Gemini-based chatbots using RAGs and Retrieval Argumentation .
Team Leadership: Leading and mentoring a team of data scientists to deliver high-quality AI/ML solutions.

Generative AI ToolsArtificial Intelligence (AI)Retrieval-Augmented Generation (RAG)MLOpsRegression ModelsLarge Language Model Operations (LLMOps)+10

Cloud ace india (accelerated computing enterprise pvt ltd)

4 roles

Technical Lead

Promoted

Apr 2024 – Jun 2024 · 2 mos

Led Cloud-Based Transformation: Designed and implemented a highly scalable fraud detection system on Google Cloud Platform (GCP), leveraging machine learning algorithms (Gradient Boosting, Isolation Forest) to significantly reduce financial losses for a leading international bank.
Enhanced Risk Assessment with AI: Architected and deployed a comprehensive credit risk assessment platform on GCP, integrating alternative data sources with traditional models. This improved lending decision accuracy by [quantify margin]%, driving client acquisition while mitigating risk exposure.
Optimized MLOps for Conversational AI: Streamlined model development and deployment for the bank's conversational AI chatbot on GCP, accelerating chatbot responsiveness and significantly improving customer satisfaction metrics.
Drove Process Automation with ML: Delivered process automation enhancements using ML-powered document classification and NLP workflows on GCP, achieving a 41% efficiency gain in back-office processes and enabling increased transaction volume.

Generative AI ToolsBusiness PlanningArtificial Intelligence (AI)Retrieval-Augmented Generation (RAG)MLOpsRegression Models+13

Solutions Architect

Oct 2023 – Apr 2024 · 6 mos

Data PipelinesPython (Programming Language)Technical PresentationsGenerative AI ToolsBusiness PlanningArtificial Intelligence (AI)+14

Cloud Machine Learning Engineer

Apr 2023 – Oct 2023 · 6 mos

Data PipelinesPython (Programming Language)Technical PresentationsGoogle Kubernetes Engine (GKE)Artificial Intelligence (AI)MLOps+25

Associate Cloud Engineer

Jan 2023 – Apr 2023 · 3 mos

Python (Programming Language)MLOpsRegression ModelsPyTorch

Tata group

Research Intern

Aug 2022 – Sep 2022 · 1 mo · Trombay, Maharashtra, India

Pioneered Process Automation: Built a process automation system integrating IoT and machine learning, including automating conveyor belt technology, resulting in substantial plant efficiency gains.
Developed Advanced ML Models: Leveraged TensorFlow, Scikit-learn, and Keras to develop neural network models based on deep learning and data mining techniques.
Presented ML Strategies to Leadership: Delivered presentations to senior executives on strategies to improve profitability and reduce risks using ML, AI, and natural language processing.

Data PipelinesPython (Programming Language)Technical PresentationsArtificial Intelligence (AI)MLOpsRegression Models+8

Amazon web services (aws)

Research Intern

May 2022 – Jul 2022 · 2 mos

Data PipelinesPython (Programming Language)Technical PresentationsArtificial Intelligence (AI)Regression ModelsOptimizing Performance+6

Wasia shaikh heavy and light trucks transport llc

Data Science Intern

Dec 2021 – Feb 2022 · 2 mos · Dubai, United Arab Emirates

Conducted Impactful Data Analysis: Performed principle data analysis that contributed to a 14% increase in company profits.
Enhanced Logistics Efficiency: Resolved automation errors within the logistics data to improve operational efficiency.
Delivered Data-Driven Insights: Developed comprehensive reports compiling major relevant data insights for decision-makers.

Data PipelinesPython (Programming Language)Artificial Intelligence (AI)Regression ModelsOptimizing PerformanceData Science

Indian institute of remote sensing (iirs), indian space research organization (isro)

Machine Learning Intern

Jun 2021 – Jul 2021 · 1 mo · India

Applied ML to Satellite Data: Implemented machine learning algorithms for temporal data analysis within satellite-derived datasets.
Executed Remote Sensing Data Processing: Utilized machine learning techniques for processing satellite-based remote sensing data in ISRO-IIRS initiatives, enhancing land cover classification, disaster monitoring, and other applications.

Data PipelinesPython (Programming Language)Technical PresentationsArtificial Intelligence (AI)Regression ModelsOptimizing Performance+3