Turning academic knowledge into real-world AI, Machine Learning, and Generative AI solutions.
Industry Experience
AI & Gen AI Systems Built
Deep Learning & Models
Govt. of India Issued
Building intelligent AI-powered applications and working on real-world data science projects. Developing machine learning and deep learning pipelines, implementing cutting-edge LLM systems, and collaborating with cross-functional development teams to deploy high-impact AI solutions.
Developing generative AI applications and innovative prompt architectures.
Developing machine learning & deep learning predictive models and algorithms.
Implementing LLM-based autonomous systems and intelligent workflow automation.
Building and optimizing end-to-end data processing pipelines and feature engineering.
Conducting data preprocessing, rigorous model evaluation, and performance benchmarking.
Collaborating with engineers to build intelligent solutions in professional environments.
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.
Embedded predictive algorithms and prompt workflows into web interfaces.
Built reactive UI components with modern React and JavaScript.
Designed clean REST API endpoints for seamless data synchronization.
Issued on 18/07/2026 by HR Head Shiwani.
Regd No: U85300CT2020NPL010641 ยท CSR-1: CSR00083159
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.
Protected under Designs Act, 2000 as an original technological design innovation.
Engineered sensor array hardware for resilient edge computing and low latency.
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.
Explore my verified production repositories, patent filings, or download my resume.