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Schedule Interview NowWorking at Softaims has been an experience that continues to shape my perspective on what it means to build quality software. I’ve learned that technology alone doesn’t solve problems—understanding people, processes, and context is what truly drives innovation. Every project begins with a question: what value are we creating, and how can we make it lasting? This mindset has helped me develop systems that are both adaptable and reliable, designed to evolve as business needs change. I take a thoughtful approach to problem-solving. Instead of rushing toward quick fixes, I prioritize clarity, sustainability, and collaboration. Every decision in development carries long-term implications, and I strive to make those decisions with care and intention. This philosophy allows me to contribute to projects that are not only functional, but also aligned with the values and goals of the people who use them. Softaims has also given me the opportunity to work with diverse teams and clients, exposing me to different perspectives and problem domains. I’ve come to appreciate the balance between technical excellence and human-centered design. What drives me most is seeing our solutions empower businesses and individuals to operate more efficiently, make better decisions, and achieve meaningful outcomes. Every challenge here is a chance to learn something new—about technology, teamwork, or the way people interact with digital systems. As I continue to grow with Softaims, my focus remains on delivering solutions that are innovative, responsible, and enduring.
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7 years
5 Years
4 Years
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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