Tejas Page

Software Engineer

Bengaluru, Karnataka, India3 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in full-stack development with a focus on user workflows.
Experience in building generative AI solutions for automation.
Strong background in improving system reliability and efficiency.

Stackforce AI infers this person is a Full-Stack Software Engineer with a focus on Fintech and SaaS solutions.

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Skills

Core Skills

Full-stack DevelopmentBackend FunctionalityGenerative AiAutomation

Other Skills

SQLEntity Framework (EF) CoreREST APIsPrompt EngineeringNext.jsReact.jsZustandFlaskModel Context ProtocolAzure DevOps REST APITypeScriptPostgreSQLAzure FunctionsNode.jsExpress.js

About

I’m a Software Engineer on the Tax Innovation team at PwC US and a BITS Pilani graduate, working across full-stack development, large-scale system design, and automation. I build and deliver features across both frontend and backend layers, with a focus on improving reliability, reducing friction, and enabling smoother user workflows. My primary work is in full-stack engineering, and I’m gradually expanding into applied AI - experimenting with ways it can streamline processes and improve overall workflow efficiency. This includes exploring practical automation opportunities and incorporating AI where it meaningfully strengthens the product. I’m interested in problems that sit at the intersection of software engineering, automation, and AI - especially where clear user impact and strong technical execution come together.

Experience

3 yrs 6 mos

Total Experience

1 yr 9 mos

Average Tenure

1 yr 10 mos

Current Experience

Pwc

2 roles

Associate

Jul 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India

I develop features for an enterprise tax management system, improving user workflows, backend functionality, and overall reliability. I also explore how AI can support automation and reduce manual steps within targeted areas of the platform.

SQLEntity Framework (EF) CoreFull-Stack DevelopmentBackend Functionality

Products and Technology Intern

Jan 2024 – Jun 2024 · 5 mos · Bengaluru, Karnataka, India

Built generative AI pipelines for ESG disclosure analysis, working on document processing, hybrid search, and evidence-based text generation using Azure OpenAI and Cognitive Search. My work focused on automation, output validation, and improving the accuracy and reliability of consultant-facing workflows.

REST APIsPrompt EngineeringGenerative AIAutomation