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Akarsh RajputAR
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Akarsh Rajput

@akarshrajput

Full-stack engineer building production features, SEO growth, and RAG-powered experiences with React and FastAPI.

Zimbabwe
Message

What I'm looking for

I’m looking for a product-focused team where I can own full-stack delivery and production reliability, while also building practical AI features like RAG systems and LLM assistants. I want fast feedback, clear ownership, and measurable impact.

I build end-to-end product experiences—shipping 25+ production features across complex editor, reader, and analytics surfaces while improving release stability. I own the full bug-resolution lifecycle (repro, root cause, patch, monitoring), resolving 250+ issues and eliminating 20+ critical release blockers with a 30% regression-rate reduction.

I also specialize in AI-assisted systems and search performance: I delivered a RAG pipeline with 30% lower retrieval latency and 95%+ query precision, plus a support ticketing flow that reduced manual workload and mean response time by 50%. On the growth side, I scaled search impressions by 7000%+ and secured first-page rankings for 10+ keywords through structured SEO and Core Web Vitals tuning.

Experience

Work history, roles, and key accomplishments

NI
Current

Full-Stack Engineer

NiftyBooks

Aug 2025 - Present (10 months)

Delivered 25+ production features across editor, reader, and analytics surfaces, improving release stability. Owned the full bug-resolution lifecycle across 250+ issues, eliminating 20+ critical release blockers and reducing regression rate by 30%.

IN

AI & Full-Stack Engineer

Innexora

Nov 2024 - Jul 2025 (8 months)

Built production-grade RAG pipelines enabling natural language querying over large enterprise document corpora, reducing retrieval latency by 30% and achieving 95%+ query precision. Developed a RAG-powered support ticketing system with a custom routing model, cutting manual support volume by 50% and mean response time by 50%.

NA

Full-Stack Engineer

Nothing But Adventures

Dec 2023 - Sep 2024 (9 months)

Designed and launched a full-scale tour travel platform covering itinerary management, booking flows, destination discovery, promotions, and reviews. Integrated an LLM-powered conversational agent with automated itinerary synthesis and contextual recommendations, deflecting 80% of inbound queries from human agents.

Education

Degrees, certifications, and relevant coursework

Lovely Professional University logoLU

Lovely Professional University

B.Tech, Computer Science

2022 - 2026

Grade: 8.42/10.0

Pursuing a B.Tech in Computer Science at Lovely Professional University (GPA: 8.42/10.0) with coursework across data structures and algorithms, system design, databases, and operating systems.

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