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Schedule Interview NowBeing part of Softaims has allowed me to see the full spectrum of what technology can achieve when guided by empathy, discipline, and creativity. Each assignment, regardless of size, represents an opportunity to bring clarity to complexity and to turn ambitious ideas into tangible outcomes. I’ve come to realize that successful development isn’t just about writing code—it’s about listening carefully, understanding deeply, and designing thoughtfully. Every client brings unique challenges, and I make it a priority to align my work with their goals, ensuring that the end result is both effective and lasting. Softaims fosters an environment where collaboration is not optional—it’s essential. The collective expertise within the team pushes me to think beyond conventional boundaries, to question, refine, and innovate. I believe that this process of shared learning and experimentation is what makes our solutions resilient and impactful. My ultimate goal is to build technology that feels effortless to use yet powerful in function. I approach every task with the mindset that small details can make a big difference. Through continuous refinement and dedication, I aim to contribute to the kind of work that not only serves today’s needs but anticipates tomorrow’s possibilities.
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I developed an automated AI-powered cold calling system that uses VAPI API to streamline B2B sales outreach. The AI agent conducts human-like conversations with prospects, specifically designed to reach decision-makers and schedule sales meetings. The system integrates with calendar management for automated meeting scheduling and Google Sheets for detailed interaction tracking. The solution is enhanced with n8n automation. This end-to-end automation not only saves significant time for sales teams but also scales the cold calling process while maintaining a natural, conversational approach.
🔍What is ParseIt AI? ParseIt AI allows you to extract actionable data from text quickly and accurately. It helps automate the process of parsing and extracting specific information from various types of text inputs. 🎯 Use Cases: • Data Extraction: Parse customer feedback, reviews, or survey responses to extract key insights. • Content Analysis: Analyze documents or articles to categorize information such as topics, keywords, or sentiment. • Workflow Integration: Integrate parsed data into your existing workflows or applications via APIs. parseitai.com
This tool is an analysis tool aimed at those who want to invest in a defi protocol called Sushiswap, which runs on a blockchain. It is intended to show statistics not provided by Sushiswap and to quickly calculate metrics like Impermanent loss and Profit. Thus, the investor will be able to act faster. Since all the data on the blockchain is public, the data is pulled directly from Graphql, which maps the data from the Ethereum blockchain of this protocol. The raw data is mapped to the data in Sushiswap. This way we verified that we have a reliable data processing process. We are 2 people in the project. Senior Blockchain Developer and me as a Full-Stack Web developer.
An e-commerce website developed with Django to showcase my sister's artistic creativity. Background tasks such as removing image backgrounds and cropping images to fit the site were performed using Celery and Redis. I used AWS S3 to store these processed images. 🎨 The site has the ability to automatically extract a color palette from uploaded images. I even thought about implementing a search function based on these color palettes. 💰 Integrated crypto payments with Metamask. However, this functionality somewhat sacrifices user anonymity. This is an interesting topic for discussion.
Flask and MSS libraries were mainly used to monitor the screens of computers in different networks on a single website.
Bachelor's degree in Software Engineering
2019-01-01-2023-01-01