♦ A Software and Blockchain Engineer with over 9 years of industrial experience in the design and development of
large-scale software and ETL data pipelines using Python, Go, Solidity, Rust, Web3, Big Data Ecosystem, Dockers,
JavaScript, Angular, NodeJS, Spring boot, Hibernate, REST Web Services, SQL, NoSQL.
♦ Experience in architecture design and development of ETL Big data engineering pipelines.
☕ Technical Skills
•Languages: Python, R, Go, JavaScript, jQuery, JUnit
•Web: HTML, CSS, Spring boot, Bootstrap, JavaScript, Vue js, React js, Angular js, node js
•Blockchain: Solidity, Rust, Smart Contract Development, Web3, Ethereum, Solana
•Technologies: REST web services API, Hadoop, Spark, Amazon Web Services S3 Cloud, Docker, Jenkins, Elastic
Search, Blockchain
•Databases: MySQL, SQL Server, PostgreSQL, PL/SQL, Oracle, Hibernate, JDBC
•Data Science: Machine Learning, Predictive Modelling, Deep Learning, Data Mining
•OS: Unix, Linux, Mac OS X
🔂 Interests:
•Distributed Systems like Blockchain, IPFS, HDFS, DynamoDB
•Big Data technologies
•Machine Learning / Predictive Analysis / Deep Learning
Skills
Experience Level
Language
Work Experience
Education
Qualifications
Industry Experience
Description: HRMS is a form of human resources (HR) software that combines a number of systems and processes to
ensure the easy management of human resources, business processes and data. Human resources software is used by
businesses to combine a number of necessary HR functions, such as storing employee data, managing payroll,
recruitment, benefits administration, time and attendance, employee performance management, and tracking
competency and training records.
Played a key role in the development of Thingsboard, an innovative open-source IoT platform, focusing on data
visualization and device management. My contributions involved utilizing Angular for front-end development, Node.js
for server-side efficiency, and Java Spring Boot for robust back-end architecture. The project emphasized scalable
connectivity solutions, enabling real-time data processing and a user-centric approach to IoT applications.
Contributed to Tabrabbit.com, a cutting-edge restaurant technology suite that revolutionizes the dining experience
through innovative software. My role involved utilizing React for dynamic front-end development and implementing
Continuous Integration (CI) practices to ensure efficient, iterative updates and high-quality code deployment. The
platform streamlines restaurant operations by integrating business management tools into a single, user-friendly suite,
enhancing both vendor and consumer experiences.
Played a key role in the development of Thingsboard, an innovative open-source IoT platform, focusing on data
visualization and device management. My contributions involved utilizing Angular for front-end development, Node.js
for server-side efficiency, and Java Spring Boot for robust back-end architecture. The project emphasized scalable
connectivity solutions, enabling real-time data processing and a user-centric approach to IoT applications.
Designed and developed an advanced Telegram bot leveraging AI for Solana trading. Implemented machine learning
models to predict market swings, enhancing decision-making in real-time. Features include automated buy/sell
executions, LP and token sniping capabilities, and MEV bot strategies. Engineered dynamic algorithms for adaptive
trading responses, optimizing performance based on market conditions. Integrated natural language processing (NLP)
for intuitive user interactions and data analysis, enabling proactive trading insights.
Led the development of critical project components including the Ecosystem and Security pages, prioritizing user
experience and implementing robust security measures. Orchestrated the deployment of smart contracts and played a
key role in developing a new token, thereby advancing blockchain capabilities.
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