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Nitin TiwariNT
Open to opportunities

Nitin Tiwari

@nitintiwari3

I build AI-powered backend systems, RAG applications, and scalable data-driven products.

India
Message

What I'm looking for

I'm looking to build AI-powered and backend products where I can lead delivery, integrate machine learning into production systems, and solve complex data and automation problems.

I'm building crop-identification AI at Arya.ag using OpenAI GPT-4, PGvector, and retrieval-augmented generation to handle intelligent queries. I also own backend development, satellite-data visualization, geolocation mapping, and farmer activity workflows.

I've integrated machine learning components into production APIs, implemented Google Sign-In and role-based access control, and collaborated with Java teams on microservices and Dockerized deployments.

Previously, I led cross-functional delivery at Nethues Technologies and development teams at Arkss Technologies, improving database schemas, queries, application reliability, and large-scale data systems.

My hands-on work spans fine-tuning Mistral-7B with QLoRA, building local GPT-2 training tools, developing knowledge-augmented chatbots, and delivering Django, Laravel, React, Flutter, embedded, and automation projects.

Experience

Work history, roles, and key accomplishments

Arya.ag logoAR
Current

SSDE2

Arya.ag

Mar 2023 - Present (3 years 6 months)

Developed crop identification AI using GenAI with OpenAI GPT-4, implemented PGvector and RAG for intelligent query handling, and owned backend development and data visualization workflows using satellite data and geolocation mapping. Collaborated with Java teams to align microservices architecture and deploy Dockerized systems.

Education

Degrees, certifications, and relevant coursework

Uttar Pradesh Rajarshi Tandon Open University logoUU

Uttar Pradesh Rajarshi Tandon Open University

Bachelor of Computer Applications, Computer Applications

2017 - 2020

Pursued a Bachelor of Computer Applications through distance education, gaining a strong foundation in computer science and applications.

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