🚀 I’m currently working on 0→1 AI & technical products, focusing on product discovery, strategy, user research, roadmapping, and building solutions around real user problems.
🤝 I’m looking to collaborate on AI/technical products, open-source projects, product strategy, 0→1 ideas, user research, and innovative solutions to real-world problems.
🧭 I’m looking for help with product discovery, validating ideas, building better AI products, and learning from experienced product builders and open-source communities.
📚 I’m currently learning AI Product Management, product strategy, user research, product analytics, SQL, Generative AI, LLMs, and agentic AI.
💬 Ask me about AI Product Management, 0→1 product ideas, product strategy, Generative AI, technical products, open source, or building products from scratch.
🎯 Fun fact: I can spend hours turning a messy problem into a clear product idea—and somehow end up making a PRD for it. 😄
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👨💻 All of my projects are available at https://github.com/Abhijais4896
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📝 I regularly write articles on https://dev.to/abhishekjaiswal_4896
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📫 How to reach me abhishek.77647@gmail.com
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📄 Know about my experiences https://www.linkedin.com/in/abhishekjaiswal076
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🌟 My Portfolio https://abhishekjaiswal-pmportfolio.vercel.app/
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📍 Hyderabad, India · Remote Collected and organized business requirements from team discussions and converted them into user stories and task lists for the development team. ● Used Excel/Google Sheets to clean and organize business data, prepared weekly reports, and tracked basic product and business metrics. ● Reviewed 100+ customer feedback and support records to identify common issues and shared findings with the team to support product improvements.
🔹 Requirements Gathering
📊 Data-driven thinking · 🔍 Problem analysis · 📈 Model evaluation |
📍 Hyderabad, India · Remote Cleaned and prepared datasets using Python and Pandas, handled missing values and basic outliers, and created features for machine learning models. ● Trained and compared classification and regression models using Scikit-learn and evaluated them using metrics such as accuracy, precision, recall, and RMSE. ● Worked on model experiments and documented results in Jupyter notebooks; improved the best model's validation accuracy from 78% to 85% through feature selection and parameter tuning.
🔹 Exploratory Data Analysis
📊 Data-driven thinking · 🔍 Problem analysis · 📈 Model evaluation |
Exploring real-world problems through product discovery, strategy, UX, and 0→1 product development.
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Designed an AI-powered customer support solution focused on reducing repetitive work and helping support teams respond to customers more efficiently.
🔹 Customer intent detection
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Designed an AI-powered recruitment CRM to simplify candidate management, hiring pipelines, recruiter workflows, and communication.
🔹 Candidate management
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Designed an AI-powered DevOps platform to help engineering teams detect incidents, investigate issues, identify root causes, and automate repetitive operational tasks.
🔹 Incident detection
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Designed a personal finance SaaS concept focused on making income and expense tracking simpler while helping users understand their spending.
🔹 Receipt scanning
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Designed a multi-vendor marketplace covering customer, seller, and admin workflows across the complete buying and selling journey.
🔹 Vendor onboarding
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Problem → Discovery → Strategy → |
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