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Schedule Interview NowMy journey at Softaims has been defined by curiosity, growth, and collaboration. I’ve always believed that good software is not just built—it’s carefully shaped through understanding, exploration, and iteration. Every project I’ve worked on has taught me something new about how to balance simplicity with depth, and efficiency with creativity. At its core, my work revolves around helping businesses and people achieve more through thoughtful technology. I’ve learned that the most successful projects come from teams that communicate openly and stay adaptable. At Softaims, I’ve had the opportunity to work alongside professionals who challenge assumptions, share knowledge generously, and inspire continuous improvement. I take pride in focusing on the fundamentals—clarity in logic, consistency in design, and empathy in execution. Software is more than a set of features; it’s a reflection of how we think about problems and how we choose to solve them. By maintaining this perspective, I aim to build solutions that are not only effective today but also flexible enough to support the challenges of tomorrow. The culture at Softaims promotes learning as an ongoing process. Every new project feels like a step forward, both personally and professionally. I see each challenge as a chance to refine my skills and contribute to the shared vision of building technology that genuinely improves lives.
Main technologies
7 years
2 Years
6 Years
6 Years
Potentially possible
The Project performs ETL - Extract, Transform and Load using the Airflow for the Weather API data. It loads historical data and the current weather data for a certain interval of time. The airflow is run in the docker image with astro distribution.
Binance Crypto Trader Tool, runs automatically on the GCP VM Instance, making the trading decision by a sophisticated Algorithm, which can be tweaked by the configuration file while the trade in on run. The project is auto-deployed using the the continuous Integration pipeline in the GCP using the docker Image. The project is written in Java in SpringBoot framework.
Client wanted an assignment project - which identifies the related song recommendation for featured artists, and also cluster the same song with common feature, and also using PySpark to answer the common business question, and be able to display the data on the Grpah. Machine Learning Algorithm used - Nearest Neighbour , K-Mean Cluster
Bachelor of Engineering (BEng) in Computer science
2010-01-01-2014-01-01