My work experiences across different companies and roles.
All Experiences (2 experiences)

PropertyLens.in
WorkingJune 2025 - August 2025
Pune, India (Onsite)
Full Stack Lead Engineer
Technologies & Tools
Next.jsTailwind CSSTypeScriptNodeReactNativeVercelGCPPostmanBun
- Developed and optimized the frontend using React.js and Next.js. Created and maintained the backend and database using Node.js and PostgreSQL. Transitioned to a React Native codebase, enabling shared development across web and mobile platforms (Project: Sidhali), focusing on component reusability.
- Addressed architectural constraints by maintaining separate components for web and mobile within the same repository, ensuring responsiveness and operational continuity. Proposed and implemented a new modular approach separating web and mobile codebases while utilizing a shared backend and database.
- Developed secure login, signup, and 2FA authentication systems integrated with thecompany’s database. Contributed to the PropertyLens School project and integrated it with the homepage. Deployed backend and database systems on Google Cloud and frontend on Vercel, ensuring full-stack deployment readiness.
- Maintained version control through structured GitHub repositories with CI/CD pipelines. Prioritized system responsiveness and architectural scalability in all deliverables.

NAOJ (National Astronomical Observatory of Japan)
December 2024 - April 2025
Tokyo, Japan (Remote)
Machine Learning Research Intern
Technologies & Tools
Next.jsPostmanTypeScriptExpress
- Worked extensively on time series datasets, including preprocessing using techniques such as normalization, logarithmic transformation, and feature scaling.
- Developed and trained various deep learning models, primarily focusing on Long Short-Term Memory (LSTM) networks.
- Explored and implemented hybrid models, including Variational Autoencoder (VAE) combined with LSTM for enhanced temporal pattern recognition.
- Conducted comprehensive analysis and evaluation of model performance across 150 diverse time series datasets.
- Gained hands-on experience in model tuning, error analysis, and time-dependent data forecasting.
