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Priyanshu DoshiPD
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Priyanshu Doshi

@priyanshudoshi

AI/ML and full-stack engineer building production GenAI systems and end-to-end ML pipelines.

India
Message

What I'm looking for

I want to build production GenAI products and own end-to-end ML/NLP pipelines—backed by clean engineering and measurable outcomes—in teams that move fast, iterate quickly, and care about reliability from prototype to deployment.

I’m an AI/ML and full-stack engineer focused on shipping production-ready GenAI products. As an AI/ML Engineer Intern at Velino (remote), I built two production AI SaaS products: Salesnix AI, a B2B voice ordering agent, and Sociafy, a multi-model content pipeline with agentic loops, GPU-based media generation, and platform integrations.

Before that, I interned at Elevate Labs where I quickly became a top performer, building end-to-end NLP and Computer Vision pipelines for model training, feature engineering, and evaluation using PyTorch, TensorFlow, and Scikit-learn. I also worked as a Full Stack Developer Intern, deploying a production-grade Next.js platform on Microsoft Azure App Service with an automated email notification pipeline.

I enjoy pushing models into real-world workflows—whether it’s research or product engineering. From my CatBoost-based robotic arm fault detection work (high accuracy and strong F1) to my projects like an offline LangChain + LangGraph RAG troubleshooting assistant and an edge privacy-preserving mental wellbeing system running on Raspberry Pi, I aim for solutions that are reliable, fast, and measurable. I’ve also led technical workshops as Vice Chair (ACM Student Chapter) and contributed at scale in open source, including founding and maintaining DevTrack.

Experience

Work history, roles, and key accomplishments

MF

Full Stack Developer Intern

MZHUB Faithtech

Dec 2025 - Present (6 months)

Developed and deployed a production-grade Next.js platform on Microsoft Azure App Service with a responsive frontend. Implemented an automated email notification pipeline.

Education

Degrees, certifications, and relevant coursework

Institute of Technology, Nirma University logoIU

Institute of Technology, Nirma University

B.Tech, AI & Machine Learning

2024 - 2028

Grade: CGPA: 8.65/10

Pursuing a B.Tech in AI & Machine Learning at Nirma University, with CGPA of 8.65/10. Expected graduation around July 2028.

CS

Class XII (Science)

Class XII, Science

Grade: 96.7% ; 99.1 Percentile ; Rank 160 (Gujarat)

Completed Class XII (Science) in 2024, scoring 96.7% with 99.1 percentile and a rank of 160 in Gujarat.

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