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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.
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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