-Leveraged NumPy and Pandas for data manipulation and analysis, along with advanced SQL queries for efficient data extraction.-Designed and orchestrated ETL and ELT pipelines with Apache Airflow, streamlining data workflows for timely analytics.-Created visualizations using Matplotlib and Seaborn to present insights effectively, facilitating data-driven decision-making.-Conducted feature engineering and implemented supervised and unsupervised learning techniques, including model ensemble methods, enhancing model performance.-Deployed machine learning models in production, ensuring seamless integration and robust performance.-Developed a microservices architecture utilizing message brokers for efficient inter-service communication.-Containerized applications using Docker, promoting consistency across environments.-Built and maintained REST APIs with Flask to provide data access for front-end applications, enhancing user interaction.-Conducted load testing to optimize performance and ensure robustness in cloud Linux environments.-Designed user-friendly UI for Machine Learning applications to improve user experience.-Specialized in training neural networks, particularly Convolutional Neural Networks (CNNs) for computer vision tasks.-Explored Natural Language Processing (NLP) with transformers and large language models (LLMs), employing prompt engineering to refine interactions.-Gained hands-on experience in deploying models on AWS, reinforcing skills in cloud-based solutions and end-to-end data science processes.

-Contributed to decentralized protocols and smart contracts on the Ethereum and Starknet blockchains.-Audited smart contracts for security vulnerabilities, ensuring the integrity and robustness of decentralized applications (dApps).-Participated in code reviews, implementing optimizations and best practices for scalable, gas-efficient smart contracts.-Developed, tested, and deployed Ethereum and Starknet-based dApps, focusing on security, functionality, and UX.-Collaborated with decentralized finance (DeFi) and Layer 2 scaling projects, enhancing their security and performance.-Regularly engaged with the Web3 community, contributing to educational materials and discussions on Ethereum and Starknet development and auditing practices.

-Leveraged NumPy and Pandas for data manipulation and analysis, along with advanced SQL queries for efficient data extraction.-Designed and orchestrated ETL and ELT pipelines with Apache Airflow, streamlining data workflows for timely analytics.-Created visualizations using Matplotlib and Seaborn to present insights effectively, facilitating data-driven decision-making.-Conducted feature engineering and implemented supervised and unsupervised learning techniques, including model ensemble methods, enhancing model performance.-Deployed machine learning models in production, ensuring seamless integration and robust performance.-Developed a microservices architecture utilizing message brokers for efficient inter-service communication.-Containerized applications using Docker, promoting consistency across environments.-Built and maintained REST APIs with Flask to provide data access for front-end applications, enhancing user interaction.-Conducted load testing to optimize performance and ensure robustness in cloud Linux environments.-Designed user-friendly UI for Machine Learning applications to improve user experience.-Specialized in training neural networks, particularly Convolutional Neural Networks (CNNs) for computer vision tasks.-Explored Natural Language Processing (NLP) with transformers and large language models (LLMs), employing prompt engineering to refine interactions.-Gained hands-on experience in deploying models on AWS, reinforcing skills in cloud-based solutions and end-to-end data science processes.

Tech Stack: Spring Boot, Angular, React, Next.js, Node.js, Express, NestJS, Golang, AWS, Serverless, Kafka, RabbitMQ, GraphQL, Sockets, gRPC.-Microservices & API Development: Developed and maintained scalable, event-driven microservices using Spring Boot, NestJS, and Golang. Leveraged RabbitMQ and Kafka to ensure reliable communication between services.-Serverless Architecture on AWS: Built highly scalable, cost-efficient serverless applications on AWS using Lambda, API Gateway, DynamoDB, and S3. Integrated various AWS services for seamless, automated deployments.-Frontend Development: Delivered rich, responsive UI using React, Angular, and Next.js to ensure a smooth and interactive user experience across different platforms including PWA (Progressive Web App) development for optimized mobile performance.-Cloud & DevOps: Managed cloud infrastructure on AWS, with a focus on automation, scalability, and high availability. Implemented CI/CD pipelines, leveraging tools like Docker, Kubernetes, and Jenkins for containerized deployments.-Advanced API Communication: Utilized GraphQL, WebSockets, and gRPC to implement real-time, bi-directional communication and optimized data-fetching strategies for improved performance.-Collaborative Agile Environments: Worked closely with cross-functional teams in Agile environments, delivering solutions on time and within scope, while continuously improving code quality and adhering to best practices.-Led the development of comprehensive unit and integration tests to ensure reliability and code quality across various services and applications.