Abhishek Rajput profile photo 1 on Tal

Abhishek Rajput

Generative AI Engineer | RAG, Agents, LangChain | Shipping Production AI Systems

Bengaluru

2+ years of work experience

Nushift Technologies
Nov 20241 yr 7 mosPresent

Hyderabad

• Working as a Generative AI Engineer on real-world healthcare AI systems with end-to-end ownership. • Designed and implemented RAG (Retrieval-Augmented Generation) pipelines using vector databases for accurate semantic search and retrieval. • Built an intelligent medical Q&A routing system that understands user intent and routes questions to the most relevant medical specialty. • Integrated LLMs, embeddings, and backend APIs to generate reliable, context-aware responses. • Developed AI-driven automation workflows to improve response accuracy, speed, and system efficiency. • Collaborated with product and engineering teams to deliver production-ready AI features. • Took ownership of features from idea → implementation → deployment, often working independently. • Strengthened skills in Generative AI, LLM system design, and real-world problem solving in the healthcare domain.
OctaNet Services Pvt Ltd.
Nov 20243 mosJan 2025

Remote

•Mainly worked on frontend development, focusing on building and optimizing React.js components and connecting them with a basic backend for seamless functionality. •Contributed to real-time projects, ensuring responsive design and smooth user experiences using HTML, Tailwind CSS, and JavaScript. •Gained practical experience in integrating frontend and backend systems, enhancing debugging skills, and collaborating with the team to deliver quality solutions
GitHub
@Aabhi2002

Education

Dayananda Sagar University

Master of Computer Applications - MCA

Dayananda Sagar University

20232 yrs2025

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Headline

Generative AI Engineer | RAG, Agents, LangChain | Shipping Production AI Systems

About

I’m a Software Engineer & Generative AI Engineer who enjoys building real-world, production-ready systems rather than just demos or experiments. Currently, I work in the healthcare AI domain, where I design and build Generative AI solutions such as RAG pipelines, semantic search systems, intelligent question routing, and LLM-powered automation workflows. My work focuses on making AI reliable, scalable, and useful in real business scenarios. Alongside GenAI, I have a strong foundation in backend and full-stack development using Java, Spring Boot, REST APIs, MySQL/MongoDB, and React.js. This allows me to think beyond models and build complete systems end to end — from APIs and databases to AI integrations. I’m comfortable taking ownership, learning fast, and figuring things out independently. If I don’t know something, I learn it and ship it. Right now, my focus is on deepening my expertise in Generative AI, LLM system design, and applied AI engineering. I’m open to opportunities where I can work on impactful products, learn from strong engineers, and continue growing as a builder.

Location

Bengaluru

Work experience

Generative AI Engineer at Nushift Technologies, Nov 2024 - Present · 1 yr 7 mos, Hyderabad, • Working as a Generative AI Engineer on real-world healthcare AI systems with end-to-end ownership. • Designed and implemented RAG (Retrieval-Augmented Generation) pipelines using vector databases for accurate semantic search and retrieval. • Built an intelligent medical Q&A routing system that understands user intent and routes questions to the most relevant medical specialty. • Integrated LLMs, embeddings, and backend APIs to generate reliable, context-aware responses. • Developed AI-driven automation workflows to improve response accuracy, speed, and system efficiency. • Collaborated with product and engineering teams to deliver production-ready AI features. • Took ownership of features from idea → implementation → deployment, often working independently. • Strengthened skills in Generative AI, LLM system design, and real-world problem solving in the healthcare domain.

Web Development Intern at OctaNet Services Pvt Ltd., Nov 2024 - Jan 2025 · 3 mos, Remote, •Mainly worked on frontend development, focusing on building and optimizing React.js components and connecting them with a basic backend for seamless functionality. •Contributed to real-time projects, ensuring responsive design and smooth user experiences using HTML, Tailwind CSS, and JavaScript. •Gained practical experience in integrating frontend and backend systems, enhancing debugging skills, and collaborating with the team to deliver quality solutions

Education

Master of Computer Applications - MCA, Dayananda Sagar University

Public links

github: https://github.com/Aabhi2002