Backend Developer (Contract) @Zeiierman Trading

• •  Orchestrated the development of a scalable Node.js backend application, ensuring application reliability and meeting advanced functional requirements.
• •  Implemented a secure authentication system with role-based access controls, significantly enhancing data security and privacy.
• •  Custom-designed and integrated a Stripe payment system, enabled dynamic plan management capabilities, notably elevating the user transactional experience through streamlined payment processes.
• •  Successfully integrated MailChimp for transactional email communication, boosting user engagement and improving the communication flow along with TradingView Bot for providing indicator scripts to users automatically.

Research Intern @ISRO - Indian Space Research Organization

• •  Orchestrated Enhanced flood forecasting by integrating satellite data with deep learning and time series models, a project initiated at ISRO.
• •  Utilized Google Earth Engine for collecting and processing large-scale satellite data and implemented advanced deep learning and time series models in Python.
• •  Achieved a 73% improvement in flood forecasting capabilities over traditional methods.
• •  Demonstrated a state-of-the-art flood prediction system, emphasizing the synergy between technology and environmental resilience.

Software Development Intern @eInfochips (An Arrow Company)

• •  Worked in a team of 3 and collaborated in developing a web-based communication solution akin to WhatsApp.
• •  Leveraged technologies like NextJS, TypeScript, TailwindCSS, Socket.io, Prisma and MongoDB for real-time communication capabilities.
• •  Led the design and implementation of deep learning models for motion forecasting, utilizing complex sensor datasets, providing insights into AI applications in real scenarios.

Software Development Intern @AlphaBI

• •  Led the design and implementation of a SaaS product, starting with the scraping of over 60k hotel reviews from various sites using Puppeteer and BeautifulSoup, ensuring data accuracy and relevance.
• •  Applied data cleaning, processing and fine-tuned prediction models using OpenAI, achieving significant enhancements in accuracy and relevance for the targeted dataset.
• •  Developed a real-time data processing streaming pipeline using Python-Kafka, delivering immediate insights to end-users.
• •  Managed frontend development task of inventory management system using Next.js, Prisma, Shadcn.ui, and MongoDB with a focus on user authentication, role-based access control authorization and third-party API integrations, substantially enriching the product's functionality.
• •  Worked on RIA-mailer, fixed existing bugs, refactored the whole code to typescript, added additional features

Advancements in Environmental Sound Classification Using Machine Learning and Deep Learning Approaches on the UrbanSound8k Dataset @ICIIP-2023

Cyber Security and Data Mining: Detecting Malicious URL Using Data Mining Techniques @ICCSAI-2023

Classification of Online News Articles Using Optimized Deep Learning Models @ICIITCEE 2024