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kartik jindal

@kartikjindal

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Full Stack Developer specializing in Next.js, TypeScript, Python, and scalable web apps.

India

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What I'm looking for

I’m looking for a role where I can work on real-world systems, take ownership of features end-to-end, and contribute to building scalable products. I’m particularly interested in backend-heavy roles, API design, and systems where performance and reliability matter.

I am a Full Stack Developer with hands-on experience building production-ready web applications using Next.js, TypeScript, Python, and MongoDB. I focus on building backend APIs, integrating databases, and deploying performant applications on modern cloud platforms like Vercel and AWS.

In internship roles I delivered full-stack features, implemented ML models for financial and vision problems, and collaborated with cross-functional teams to gather requirements and ship client-facing functionality. My projects include a portfolio management system with ML-driven insights and a celebrity recognition system achieving ~92% accuracy.

I strive to solve real-world problems through clean code, data-driven decisions, and continuous learning—backed by practical experience with React, Django, Flask, FastAPI, and tools like Git, Postman, and Linux.

Experience

Work history, roles, and key accomplishments

Current

Developer

Current

AdsRole Private Limited

Jan 2024 - Present (2 years 4 months)

* Built and deployed production-grade full-stack web applications using Next.js, TypeScript, and MongoDB for real client use
* Designed and implemented REST APIs to handle data workflows and enable seamless frontend-backend integration
* Integrated Zoho CRM to automate lead capture, tracking,reducing manual effort in client workflows validated lead-generation forms connected to backend systems .

System Design Next.js TypeScript TailwindCSS MongoDB API Development Vercel React Deploying

AI/ML Intern

Google for Developers

Jan 2023 - Jan 2024 (1 year)

* Built machine learning models including Random Forest, Linear Regression, and ARIMA for predictive analysis on financial datasets
* Performed data analysis using Pandas and NumPy, with visualization through Matplotlib
* Worked with real-world financial data using APIs (YFinance) to build forecasting and trend analysis systems
* Developed understanding of model selection, evaluation.