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Pragyansh Saxena

@pragyanshsaxena

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Full-stack and AI engineer building scalable web, mobile, and RAG-powered products—improving latency and uptime.

India

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What I'm looking for

I’m looking for a role where I can own end-to-end product features—shipping fast web/mobile experiences and production LLM/RAG systems. I want a team that values measurable performance wins (latency, uptime, deploy speed) and strong engineering fundamentals.

I’m a full-stack and AI engineer with 1+ year of experience building scalable web, mobile, and AI-powered products at two funded startups. I’ve shipped systems serving 10,000+ users and focus on production-ready performance, reliability, and pragmatic engineering.

In my internship work, I spearheaded production Next.js and React Native apps, cutting API response latency by 35% and improving user retention by 18%. I also architected GCP-hosted RAG pipelines with semantic vector search over 50,000+ embeddings, lowering LLM query latency by 40% for 500+ daily active users.

Beyond AI, I optimize the whole stack: restructuring PostgreSQL schemas to cut dashboard query execution by 50%, provisioning Dockerized Nginx infrastructure to reach 99.9% uptime, and automating deployments with GitHub Actions. I’m currently pursuing a B.Tech in Computer Science Engineering at IIT Mandi and love turning real user needs into fast, maintainable systems.

Experience

Work history, roles, and key accomplishments

Software Engineer Intern

Instafarms

Jun 2025 - Apr 2026 (10 months)

Spearheaded 3 production web and mobile apps in Next.js, React Native, and TypeScript, cutting API response latency by 35% and reducing onboarding overhead by 20%. Architected GCP-hosted RAG over 50,000+ embeddings, lowering LLM query latency by 40% for 500+ daily active users, and improved reliability with 99.9% uptime plus 30% faster deployments via GitHub Actions automation.

Next.js React Native TypeScript GCP RAG Systems Vector Search PostgreSQL Docker Nginx GitHub Actions

Full Stack Developer Intern

Dynish

Mar 2025 - Jun 2025 (3 months)

Reduced page load duration by 25% via React.js refactoring and Next.js server-side rendering, lifting user retention by 18%. Replaced manual workflows with NLP-driven FastAPI pipelines (recovering 15+ engineering hours/week), overhauled auth to Firebase to resolve 60% of login failures, and contributed to a 22% sprint velocity increase across a 6-person Agile team.

React Next.js TypeScript fastAPI Firebase Authentication PostgreSQL AWS REST APIs Agile Scrum

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Mandi

Bachelor of Technology (B.Tech), Computer Science Engineering

2023 -

Grade: CGPA: 8.59

Activities and societies: Projects: WebSync (AI upward-monitoring; 200+ endpoints, LLM-based anomaly detection, 15% downtime reduction); Keytake (multimodal OpenAI-based notes/quizzes/study plans from 150+ lecture hours, 100+ weekly learners); GenWeb (one-click AI website generator; Firebase hosting and Tailwind components; 300+ sites in 30 days).

Pursuing a B.Tech in Computer Science Engineering at IIT Mandi, with coursework spanning data structures, databases, deep learning, and operating systems. Maintains a CGPA of 8.59.