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Designing intelligent systems that stay useful long after the demo.

I enjoy building intelligent systems that connect data, machine learning, and real-world problem solving in ways teams can actually use.

View selected workAI and Data Systems Engineer
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PT

AI and Data Systems Engineer

Praharsha Thapa

Aspiring data scientist and applied AI engineer working across machine learning, data analysis, automation, and blockchain-backed systems.

Making AI practical inside real products and workflows.

Praharsha is pursuing a Bachelor of Science (Hons) in Computer and Data Science and has built hands-on experience through machine learning work, Kaggle-style problem solving, Python-based data analysis, and intelligent system prototyping.

At Anvesh Technologies, he worked on AI and blockchain development using Hyperledger Fabric, OCR-backed verification systems, smart contract workflows, and predictive modeling, giving him a practical mix of research and applied systems exposure.

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Focus areas

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Project contributions

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Journal entries

Expertise

System Architecture & Expertise

Machine learning

Praharsha is pursuing a Bachelor of Science (Hons) in Computer and Data Science and has built hands-on experience through machine learning work, Kaggle-style problem solving, Python-based data analysis, and intelligent system prototyping.

Focus area

Machine learning

Focus area

Data analysis

Focus area

Blockchain systems

Focus area

Python automation

Specialty

Machine learning

Praharsha is pursuing a Bachelor of Science (Hons) in Computer and Data Science and has built hands-on experience through machine learning work, Kaggle-style problem solving, Python-based data analysis, and intelligent system prototyping.

Specialty

Data analysis

At Anvesh Technologies, he worked on AI and blockchain development using Hyperledger Fabric, OCR-backed verification systems, smart contract workflows, and predictive modeling, giving him a practical mix of research and applied systems exposure.

Selected work

Selected Deployments

Client systems, product decisions, and implementation work this member has directly shaped.

UX DesignPlatform EngineeringOperations Workflow

Animal Welfare Organization

Dog Shelter Management Platform

Nonprofit and Shelter Operations

Dog Shelter Management Platform

A digital platform for shelter operations, intake tracking, care workflows, and adoption visibility, with deployment currently pending.

The build is complete enough for deployment preparation, and the platform is positioned to give the shelter a calmer, more searchable operating system once it goes live.

UX DesignPlatform EngineeringOperations WorkflowData Management
View case study

Legal Services Technology

Law Firm Operations Platform

A legal operations platform for case coordination, internal workflows, and client-facing communication, currently in active delivery.

The platform is still in active development, but the delivery path is already shaping a more organized operational model with clearer case visibility and stronger coordination across the firm.

Product DiscoveryWorkflow DesignFull-Stack DevelopmentInternal Systems
View case study
Product DiscoveryWorkflow DesignFull-Stack Development

Confidential Law Firm

Law Firm Operations Platform

UX DesignPlatform EngineeringOperations Workflow

Animal Welfare Organization

Dog Shelter Management Platform

Nonprofit and Shelter Operations

Dog Shelter Management Platform

A digital platform for shelter operations, intake tracking, care workflows, and adoption visibility, with deployment currently pending.

The build is complete enough for deployment preparation, and the platform is positioned to give the shelter a calmer, more searchable operating system once it goes live.

UX DesignPlatform EngineeringOperations WorkflowData Management
View case study

Journal

Writing and Insights

Notes, perspectives, and technical thinking connected to the work this member contributes to.

Nonprofit Technology

Why Dog Shelters Benefit From Better Management Software

Dog shelter management software can improve care tracking, adoption readiness, and day-to-day operational visibility for nonprofit teams.

Read article

AI Systems

Smart Home AI Research: Making Automation More Useful

Smart home AI research becomes more valuable when it focuses on usable automation, coordination logic, and everyday reliability.

Read article

Principles

Engineering Principles

Useful intelligence should solve real workflow problems.

Principle 1

Applied AI should solve a clear operational problem first. Novelty is not enough if the workflow itself stays messy or unclear.

Good data work begins with disciplined cleaning, analysis, and interpretation.

Principle 2

Trust comes from guardrails, explainability, and human oversight that feels intentional rather than bolted on at the last minute.

Research becomes valuable when it can be translated into dependable systems.

Principle 3

Intelligent systems improve through measured iteration, grounded evaluation, and a clear understanding of where humans should remain in the loop.

Fun detail

Enjoys moving between model experimentation, automation scripts, and research-style prototyping.

Fun detail

Has explored everything from pursuit-evasion algorithms to sales analysis dashboards and IoT-assisted systems.

Fun detail

Likes projects where data science has a clear operational purpose, not just a novelty layer.

Available for collaboration

Let's build something precise.

Open to AI workflows, research systems, data-driven products, and automation work. Based in Kathmandu, Nepal, and open to product, design, and engineering conversations with global teams.