work_history Real-World Industry Experience & Internships

PROFESSIONAL EXPERIENCE

Turning academic knowledge into real-world AI, Machine Learning, and Generative AI solutions.

hourglass_top Duration
0+ Months

Industry Experience

neurology Portfolio
0+ Projects

AI & Gen AI Systems Built

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Gen AI & LLM

Deep Learning & Models

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0 Granted

Govt. of India Issued

2026
IAF

AI Web Development Intern

InAmigos Foundation (IAF) Verified Internship
๐Ÿ“… 23/06/2026 โ€“ 06/07/2026

Completed an intensive production internship at InAmigos Foundation (IAF) focusing on building modern, intelligent web applications. Architected responsive frontend components, optimized API data flows, and seamlessly embedded artificial intelligence models into full-stack web platforms.

smart_toy AI Integration

Embedded predictive algorithms and prompt workflows into web interfaces.

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Built reactive UI components with modern React and JavaScript.

api Backend & APIs

Designed clean REST API endpoints for seamless data synchronization.

โš›๏ธ React.js โšก JavaScript ๐Ÿ Python ๐Ÿค– AI Models ๐Ÿ”Œ REST APIs
InAmigos Foundation Certificate of Internship
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verified CERTIFICATE OF INTERNSHIP

InAmigos Foundation (IAF)

Issued on 18/07/2026 by HR Head Shiwani.
Regd No: U85300CT2020NPL010641 ยท CSR-1: CSR00083159

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IoT Hardware & ML Developer

Independent Hardware Research Official Patent Granted
๐Ÿ“œ Patent Issued: Aug 19, 2025

Researched, prototyped, and patented an IoT Connectivity Device Architecture officially granted by the Intellectual Property Office, Government of India (Design No. 470097-001). Engineered hardware communication protocols enabling low-latency telemetry and edge data validation.

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Govt. of India Granted

Protected under Designs Act, 2000 as an original technological design innovation.

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M2M Hardware Telemetry

Engineered sensor array hardware for resilient edge computing and low latency.

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Applied AI & Data Science Systems

Applied AI & Research Projects Woxsen University
2023 โ€“ Present

Architected machine learning and predictive data pipelines. Developed StrokeGuard.ai (ML ensemble classification achieving 98% prediction accuracy), AgriSathi (AI intelligent crop & fertilizer advisor), and Computer Vision anomaly detection models.

PyTorch Scikit-Learn Pandas & NumPy TensorFlow Random Forest
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Interested in Collaboration or Hiring?

Explore my verified production repositories, patent filings, or download my resume.